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ORCIDHeng Huang
Person information
- affiliation: University of Maryland at College Park, MD, USA
- affiliation (former): University of Pittsburgh, PA, USA
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2020 – today
- 2025
[j134]Heng Huang
, Xiliang Liu, Zijian Tang, Wei Song, Yuan Ma, Yuwei Zhang, Xiaoyan Ma, Milin Zhang, Jintao Wang, Kai Lu, Zhihua Wang, Guolin Li:
Design of a Compact Low-Power Sub-2.4-GHz Transceiver for Medical Band Applications. IEEE J. Solid State Circuits 60(5): 1516-1528 (2025)- [j133]Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan:
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. Neural Networks 183: 106943 (2025) - [j132]Zhou Zhai, Bin Gu, Cheng Deng, Heng Huang:
Global Model Selection via Solution Paths for Robust Support Vector Machine. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1331-1347 (2025) - [j131]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1464-1483 (2025) - [j130]Mengyu Tang, Yanwei Zhang, Chuanhao Li, Yuhan Song, Heng Huang, Weixuan Niu, Chuanjie Zhang:
Assessment of port resilience based on Evidential Reasoning and Bayesian network: An improved framework by segmenting the metrics across time and performance dimensions. Reliab. Eng. Syst. Saf. 262: 111172 (2025) - [j129]Yunrong Zhu, Yang Li, Yibo Zhang, Qiming Zhang, Heng Huang:
Theoretical Form and Numerical Calculation of Detection Threshold for DP-TBD in Processing Plot-List Data. IEEE Trans. Aerosp. Electron. Syst. 61(2): 1914-1930 (2025) - [j128]Haoyu Sun, Wanzhong Zhao, Chunyan Wang, Zhongkai Luan, Weihe Liang, Xiaochuan Zhou, Ziyu Zhang, Yukai Chu, Jinwei Wu, Jiayi Xu, Heng Huang:
Dynamic Equilibrium Strategy for Road Sensing Systems Considering Open Circuit Faults in DTP-PMSM. IEEE Trans. Intell. Transp. Syst. 26(5): 6379-6392 (2025) - [j127]Yajing Fan, Shuyang Yu, Bin Gu, Ziran Xiong, Zhou Zhai, Heng Huang, Yi Chang:
Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2154-2168 (2025) - [j126]Bin Gu, Hilal AlQuabeh, William de Vazelhes, Zhouyuan Huo, Heng Huang:
Stagewise Training With Exponentially Growing Training Sets. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6148-6158 (2025) - [c430]Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang:
Towards Optimal Multi-draft Speculative Decoding. ICLR 2025 - [c429]Shaocong Ma, Heng Huang:
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. ICLR 2025 - [i182]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
Client-Centric Federated Adaptive Optimization. CoRR abs/2501.09946 (2025) - [i181]Reza Shirkavand, Qi He, Peiran Yu, Heng Huang:
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training. CoRR abs/2502.03604 (2025) - [i180]Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Yanshuo Chen, Heng Huang:
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Ownership Verification with Reasoning. CoRR abs/2502.10440 (2025) - [i179]Tong Zheng, Yan Wen, Huiwen Bao, Junfeng Guo, Heng Huang:
Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. CoRR abs/2502.11223 (2025) - [i178]Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
Improved Unbiased Watermark for Large Language Models. CoRR abs/2502.11268 (2025) - [i177]Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang:
Towards Optimal Multi-draft Speculative Decoding. CoRR abs/2502.18779 (2025) - [i176]Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Tom Weidong Cai:
MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. CoRR abs/2503.00374 (2025) - [i175]Yu Feng, Dingxin Zhang, Runkai Zhao, Yong Xia, Heng Huang, Tom Weidong Cai:
Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness. CoRR abs/2503.09336 (2025) - 2024
- [b1]Liefeng Bo, Heng Huang, Songxiang Gu, Yanqing Chen:
Federated Learning - From Algorithms to System Implementation. WorldScientific 2024, ISBN 9789811292545, pp. 1-548 - [j125]Zhanluo Zhang, Zilong Zhuang, Wei Qin, Runzhi Tan, Chengliang Liu, Heng Huang:
Systems thinking and time-independent solutions for integrated scheduling in automated container terminals. Adv. Eng. Informatics 62: 102550 (2024) - [j124]Chuan He, Heng Huang, Zhaosong Lu:
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. Comput. Optim. Appl. 89(3): 843-894 (2024) - [j123]Wenchen Wang, Fangxu Lv, Zhengbin Pang, Heng Huang, Zhang Luo, Xingyun Qi, Jiaqing Xu, Geng Zhang, Kewei Xin, Chengzhuo Zhao:
A low jitter and low reference spur 5GHz PLL with quadrature charge-sampling PD in 28nm CMOS process. IEICE Electron. Express 21(19): 20240375 (2024) - [j122]Wei Song, Xiliang Liu, Heng Huang, Yusong Wu, Zijian Tang, Jintao Wang, Fengjun Ma, Jingfeng Zhou, Milin Zhang:
A Frequency-Division Transceiver for Long-Range Neural Signal Recording From Multiple Subjects. IEEE J. Solid State Circuits 59(3): 923-934 (2024) - [j121]Jiaxin Lei, Xiliang Liu, Wei Song, Heng Huang, Xiaoyan Ma, Junliang Wei, Milin Zhang:
Design of a Low-Power, High-Data-Rate, and Crystal-Less All-Digital IR-UWB Transmitter for High-Density Neural Implants. IEEE J. Solid State Circuits 59(7): 2159-2170 (2024) - [j120]Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen:
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024) - [j119]Dong Tian, Yu-Jie Zuo, Hao-Ji Yan, Heng Huang, Ming-Zhao Liu, Hang Yang, Jin Zhao, Ling-Zhi Shi, Jing-Yu Chen:
Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study. BMC Medical Informatics Decis. Mak. 24(1): 229 (2024) - [j118]Meng Li, Fangxu Lv, Mingche Lai, Xuqiang Zheng, Heng Huang, Xingyun Qi, Geng Zhang:
A fully digital timing background calibration algorithm based on first-order auto-correlation for time-interleaved ADCs. Microelectron. J. 152: 106330 (2024) - [j117]Chenkang Zhang, Heng Huang, Bin Gu:
Tackle balancing constraints in semi-supervised ordinal regression. Mach. Learn. 113(5): 2575-2595 (2024) - [j116]Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. Neural Comput. 36(5): 897-935 (2024) - [j115]Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024) - [j114]Jiexi Yan, Cheng Deng, Heng Huang, Wei Liu:
Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6216-6230 (2024) - [j113]Heng Huang, Yinbao Jin, Wei Sun, Yang Gao, Peilun Sun, Wei Ding:
Biomass Burning in Northeast China over Two Decades: Temporal Trends and Geographic Patterns. Remote. Sens. 16(11): 1911 (2024) - [j112]Peiyan Dong, Jinming Zhuang, Zhuoping Yang, Shixin Ji, Yanyu Li, Dongkuan Xu, Heng Huang, Jingtong Hu, Alex K. Jones, Yiyu Shi, Yanzhi Wang, Peipei Zhou:
EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3949-3960 (2024) - [j111]Heng Huang, Lin Zhao, Haixing Dai, Lu Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu:
BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. IEEE Trans. Multim. 26: 11191-11203 (2024) - [j110]Zhou Zhai, Heng Huang, Bin Gu:
Kernel Path for Semisupervised Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1512-1522 (2024) - [j109]Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan:
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7363-7375 (2024) - [j108]Zhiyuan Dang, Bin Gu, Cheng Deng, Heng Huang:
Asynchronous Parallel Large-Scale Gaussian Process Regression. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8683-8694 (2024) - [j107]Bin Gu, Runxue Bao, Chenkang Zhang, Heng Huang:
New Scalable and Efficient Online Pairwise Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17099-17110 (2024) - [j106]Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang:
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18784-18798 (2024) - [c428]Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang:
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. AAAI 2024: 12118-12126 - [c427]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [c426]Taeuk Jang, Xiaoqian Wang, Heng Huang:
Adversarial Fairness Network. AAAI 2024: 22159-22166 - [c425]Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang:
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. ACL (Findings) 2024: 4156-4172 - [c424]Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu:
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. AISTATS 2024: 1162-1170 - [c423]Junfeng Sun, Junfeng Wang, Heng Huang, Shiyu Chen:
A Distributed Cloud Hybrid Storage System for Port Transportation Infrastructure Data. BDIOT 2024: 210-214 - [c422]Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler:
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. CoRL 2024: 4100-4118 - [c421]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CVPR 2024: 11524-11534 - [c420]Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang:
Device-Wise Federated Network Pruning. CVPR 2024: 12342-12352 - [c419]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CVPR 2024: 16058-16069 - [c418]Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang:
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. CVPR 2024: 16090-16100 - [c417]Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang:
Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CVPR 2024: 16163-16173 - [c416]Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. ECCV (81) 2024: 1-18 - [c415]Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang:
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. ECCV (61) 2024: 54-71 - [c414]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. ECCV (14) 2024: 107-123 - [c413]Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Tom Weidong Cai:
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. ECCV (73) 2024: 275-292 - [c412]Zhengmian Hu, Tong Zheng, Heng Huang:
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. EMNLP 2024: 13216-13227 - [c411]Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou:
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. FPGA 2024: 55-66 - [c410]Ziyi Chen, Yi Zhou, Heng Huang:
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. ICLR 2024 - [c409]Kai Huang, Hanyun Yin, Heng Huang, Wei Gao:
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. ICLR 2024 - [c408]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR 2024 - [c407]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. ICLR 2024 - [c406]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. ICLR 2024 - [c405]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. ICLR 2024 - [c404]Peiran Yu, Junyi Li, Heng Huang:
Dropout Enhanced Bilevel Training. ICLR 2024 - [c403]Xin Jin, Jinyu Wang, Wenbo Yuan, B. Yihang, Heng Huang, Yiran Zhang, Bao Peng, X. Peng, Xin Song, Hanbing Yang:
Aesthetic Assessment of Movie Still Frame for Various Field of Views. ICME Workshops 2024: 1-6 - [c402]Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. ICML 2024 - [c401]Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou:
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. ICML 2024 - [c400]Ziyi Chen, Heng Huang:
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. ICML 2024 - [c399]Zhengmian Hu, Heng Huang:
Accelerated Speculative Sampling Based on Tree Monte Carlo. ICML 2024 - [c398]Zhenyi Wang, Yihan Wu, Heng Huang:
Defense against Model Extraction Attack by Bayesian Active Watermarking. ICML 2024 - [c397]Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang:
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. ICML 2024 - [c396]Wenhan Xian, Ziyi Chen, Heng Huang:
Delving into the Convergence of Generalized Smooth Minimax Optimization. ICML 2024 - [c395]Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang:
Retrieval Across Any Domains via Large-scale Pre-trained Model. ICML 2024 - [c394]Yufei Li, Wei Qin, Peixiang Wang, Runzhi Tan, Zhanluo Zhang, Qihang Xu, Heng Huang, Ying Zou:
Scheduling Problem of Empty Container Trucks Considering the Uncertainty of Bulk Cargo Weight at the Terminal. IEEM 2024: 1444-1448 - [c393]Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao, Heng Huang, Guangdong Li:
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories. IJCAI 2024: 7672-7680 - [c392]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. ISBI 2024: 1-5 - [c391]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI 2024: 1-5 - [c390]Heng Huang, Xin Jin, Yaqi Liu, Hao Lou, Chaoen Xiao, Shuai Cui, Xining Li, Dongqing Zou:
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels. MCGE@MM 2024: 63-71 - [c389]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 2024: 227-237 - [c388]Zhenyi Wang, Heng Huang:
Model Sensitivity Aware Continual Learning. NeurIPS 2024 - [c387]Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang:
Robust Reinforcement Learning with General Utility. NeurIPS 2024 - [c386]Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang:
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark. NeurIPS 2024 - [c385]Zhengmian Hu, Heng Huang:
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. NeurIPS 2024 - [c384]Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li:
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments. NeurIPS 2024 - [c383]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. NeurIPS 2024 - [c382]Heng Huang, Yunhan Bai, Hongwei Liang, Xiaozhong Liu:
IR Embedding Fairness Inspection via Contrastive Learning and Human-AI Collaborative Intelligence. PKDD (4) 2024: 142-153 - [i174]Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou:
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. CoRR abs/2401.10417 (2024) - [i173]Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR abs/2402.07319 (2024) - [i172]Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang:
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. CoRR abs/2402.12501 (2024) - [i171]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR abs/2403.01053 (2024) - [i170]Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu:
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR abs/2403.02566 (2024) - [i169]Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt. CoRR abs/2403.09857 (2024) - [i168]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. CoRR abs/2403.13249 (2024) - [i167]Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang:
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR abs/2403.14729 (2024) - [i166]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CoRR abs/2403.19490 (2024) - [i165]Xin Jin, Qianqian Qiao, Yi Lu, Shan Gao, Heng Huang, Guangdong Li:
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories. CoRR abs/2405.02982 (2024) - [i164]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR abs/2405.13190 (2024) - [i163]Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang:
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions. CoRR abs/2406.02603 (2024) - [i162]Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler:
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. CoRR abs/2406.02972 (2024) - [i161]Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang:
OPTune: Efficient Online Preference Tuning. CoRR abs/2406.07657 (2024) - [i160]Vasu Singla, Kaiyu Yue, Sukriti Paul, Reza Shirkavand, Mayuka Jayawardhana, Alireza Ganjdanesh, Heng Huang, Abhinav Bhatele, Gowthami Somepalli, Tom Goldstein:
From Pixels to Prose: A Large Dataset of Dense Image Captions. CoRR abs/2406.10328 (2024) - [i159]Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang:
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. CoRR abs/2406.12042 (2024) - [i158]Jian Yang, Jiakun Li, Guoming Li, Zhen Shen, Huai-Yu Wu, Zhaoxin Fan, Heng Huang:
MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling. CoRR abs/2406.16137 (2024) - [i157]Heng Huang, Lin Zhao, Zihao Wu, Xiaowei Yu, Jing Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu:
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding. CoRR abs/2407.09509 (2024) - [i156]Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai:
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. CoRR abs/2407.12870 (2024) - [i155]Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang:
From Lists to Emojis: How Format Bias Affects Model Alignment. CoRR abs/2409.11704 (2024) - [i154]Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang:
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection. CoRR abs/2409.15557 (2024) - [i153]Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms. CoRR abs/2410.02559 (2024) - [i152]Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li:
LLaVA-Critic: Learning to Evaluate Multimodal Models. CoRR abs/2410.02712 (2024) - [i151]Zhengwei Yang, Yuke Li, Qiang Sun, Basura Fernando, Heng Huang, Zheng Wang:
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework. CoRR abs/2410.10663 (2024) - [i150]Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong:
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. CoRR abs/2410.12219 (2024) - [i149]Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang:
A Watermark for Order-Agnostic Language Models. CoRR abs/2410.13805 (2024) - [i148]Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
De-mark: Watermark Removal in Large Language Models. CoRR abs/2410.13808 (2024) - [i147]Lingxiao Lei, Heng Huang, Pingxing Chen, Mingtang Deng:
Cryogenic Control and Readout Integrated Circuits for Solid-State Quantum Computing. CoRR abs/2410.15895 (2024) - [i146]Zhengmian Hu, Heng Huang:
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. CoRR abs/2410.20418 (2024) - [i145]Zhengmian Hu, Tong Zheng, Heng Huang:
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. CoRR abs/2410.21716 (2024) - [i144]Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang:
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. CoRR abs/2411.00614 (2024) - [i143]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. CoRR abs/2411.05868 (2024) - [i142]Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li:
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments. CoRR abs/2411.08545 (2024) - [i141]Yaxuan Song, Jianan Fan, Heng Huang, Mei Chen, Tom Weidong Cai:
Cell as Point: One-Stage Framework for Efficient Cell Tracking. CoRR abs/2411.14833 (2024) - [i140]Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu:
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CoRR abs/2412.04852 (2024) - [i139]Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu:
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. CoRR abs/2412.15206 (2024) - [i138]Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang:
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. CoRR abs/2412.15341 (2024) - 2023
- [j105]Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023) - [j104]Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83: 102674 (2023) - [j103]Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang:
A new large-scale learning algorithm for generalized additive models. Mach. Learn. 112(9): 3077-3104 (2023) - [j102]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j101]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang:
Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. 35(7): 7045-7055 (2023) - [j100]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai:
Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. IEEE Trans. Multim. 25: 1333-1344 (2023) - [c381]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. AAAI 2023: 7604-7612 - [c380]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI 2023: 10370-10378 - [c379]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. AAAI 2023: 10379-10387 - [c378]Yihan Wu, Aleksandar Bojchevski, Heng Huang:
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. AAAI 2023: 10417-10425 - [c377]Zhou Zhai, Lei Luo, Heng Huang, Bin Gu:
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. AAAI 2023: 11918-11925 - [c376]Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang:
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CVPR 2023: 20564-20574 - [c375]Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng:
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP 2023: 13512-13525 - [c374]Heng Huang, Jianfeng Guo, Kun Zhu, Biqi Peng:
Flexible Mobility MADDPG Algorithm for UAV Swarm Unknown Region Searching. ICAICE 2023: 155-160 - [c373]Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang:
Structural Alignment for Network Pruning through Partial Regularization. ICCV 2023: 17356-17366 - [c372]Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang:
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. ICCV 2023: 19308-19317 - [c371]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. ICCV 2023: 21117-21127 - [c370]Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin:
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR 2023 - [c369]Zhengmian Hu, Heng Huang:
Tighter Analysis for ProxSkip. ICML 2023: 13469-13496 - [c368]Zhengmian Hu, Xidong Wu, Heng Huang:
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML 2023: 13652-13678 - [c367]Yihan Wu, Heng Huang, Hongyang Zhang:
A Law of Robustness beyond Isoperimetry. ICML 2023: 37439-37455 - [c366]Heng Huang, Deng Luo, Wei Song, Milin Zhang, Zhihua Wang, Guolin Li:
A Compact 16-Channel Neural Signal Recorder with Wireless Power and Data Transmission. ISCAS 2023: 1-5 - [c365]Jiaxin Lei, Xiliang Liu, Wei Song, Heng Huang, Xiaoyan Ma, Junliang Wei, Milin Zhang:
A 1.8Gb/s, 2.3pJ/bit, Crystal-Less IR-UWB Transmitter for Neural Implants. ISSCC 2023: 464-465 - [c364]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c363]Xin Jin, Qianqian Qiao, Qiang Deng, Chaoen Xiao, Heng Huang, Hao Lou:
Language Guidance Generation Using Aesthetic Attribute Comparison for Human Photography and AIGC. MCGE@MM 2023: 127-135 - [c362]Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) 2023: 138-148 - [c361]Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen:
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 227-240 - [c360]Maosen Li, Xurong Li, Kun Yu, Cheng Deng, Heng Huang, Feng Mao, Hui Xue, Minghao Li:
Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. ACM Multimedia 2023: 8707-8718 - [c359]Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao:
PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones. MobiSys 2023: 110-123 - [c358]Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li:
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS 2023 - [c357]Zhengmian Hu, Heng Huang:
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks. NeurIPS 2023 - [c356]Junyi Li, Heng Huang:
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. NeurIPS 2023 - [c355]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. NeurIPS 2023 - [c354]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c353]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [c352]Wenhan Xian, Heng Huang:
Finding Local Minima Efficiently in Decentralized Optimization. NeurIPS 2023 - [i137]Chuan He, Heng Huang, Zhaosong Lu:
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR abs/2301.04204 (2023) - [i136]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR abs/2302.03825 (2023) - [i135]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR abs/2302.06103 (2023) - [i134]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR abs/2302.06701 (2023) - [i133]Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou:
When do you need Chain-of-Thought Prompting for ChatGPT? CoRR abs/2304.03262 (2023) - [i132]Xiangyu Xu, Lichang Chen, Changjiang Cai, Huangying Zhan, Qingan Yan, Pan Ji, Junsong Yuan, Heng Huang, Yi Xu:
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction. CoRR abs/2304.06178 (2023) - [i131]Lichang Chen, Heng Huang, Minhao Cheng:
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR abs/2305.02423 (2023) - [i130]Lichang Chen, Minhao Cheng, Heng Huang:
Backdoor Learning on Sequence to Sequence Models. CoRR abs/2305.02424 (2023) - [i129]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i128]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i127]Reza Shirkavand, Fei Zhang, Heng Huang:
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. CoRR abs/2306.00698 (2023) - [i126]Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou:
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR abs/2306.03082 (2023) - [i125]Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang:
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CoRR abs/2306.15482 (2023) - [i124]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR abs/2307.08701 (2023) - [i123]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR abs/2307.09218 (2023) - [i122]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Tom Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. CoRR abs/2307.14709 (2023) - [i121]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR abs/2308.03035 (2023) - [i120]Reza Shirkavand, Heng Huang:
Deep Prompt Tuning for Graph Transformers. CoRR abs/2309.10131 (2023) - [i119]Kai Huang, Hanyun Yin, Heng Huang, Wei Gao:
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. CoRR abs/2309.13192 (2023) - [i118]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i117]Yihan Wu, Brandon Y. Feng, Heng Huang:
Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation. CoRR abs/2310.03125 (2023) - [i116]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR abs/2310.03613 (2023) - [i115]Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang:
DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. CoRR abs/2310.07710 (2023) - [i114]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. CoRR abs/2310.10669 (2023) - [i113]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou:
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR abs/2310.11716 (2023) - [i112]Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li:
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR abs/2310.14942 (2023) - [i111]Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang:
GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. CoRR abs/2310.18498 (2023) - [i110]Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023) - [i109]Heng Huang, Xin Jin, Yaqi Liu, Hao Lou, Chaoen Xiao, Shuai Cui, Xinning Li, Dongqing Zou:
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels. CoRR abs/2312.03222 (2023) - [i108]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - [i107]Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu:
Federated Continual Novel Class Learning. CoRR abs/2312.13500 (2023) - [i106]Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang:
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. CoRR abs/2312.14776 (2023) - 2022
- [j99]Heng Huang, Xin Jin, Xinning Li, Shuai Cui, Chaoen Xiao:
Aesthetic evaluation of Asian and Caucasian photos with overall and attribute scores. Comput. Electr. Eng. 103: 108341 (2022) - [j98]Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan:
3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data 5 (2022) - [j97]Alireza Ganjdanesh, Jipeng Zhang, Sarah Yan, Wei Chen, Heng Huang:
Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. J. Comput. Biol. 29(12): 1324-1345 (2022) - [j96]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. 23: 36:1-36:70 (2022) - [j95]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. 78: 102420 (2022) - [j94]Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1385-1398 (2022) - [j93]Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang:
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3767-3778 (2022) - [j92]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [j91]Heng Huang, Donghua Zhu, Xuefeng Wang:
Evaluating scientific impact of publications: combining citation polarity and purpose. Scientometrics 127(9): 5257-5281 (2022) - [j90]Heng Huang, Shizhong He, Xiaopeng Xie, Wei Feng, Huanyi Zhen:
Research on the Influence of Coil LC Parallel Resonance on Detection Effect of Inductive Wear Debris Sensor. Sensors 22(19): 7493 (2022) - [j89]Heng Huang, Xiliang Liu, Zijian Tang, Wei Song, Yuwei Zhang, Xiaoyan Ma, Milin Zhang, Jintao Wang, Zhihua Wang, Guolin Li:
A 2 nJ/bit, 2.3% FSK Error Fully Integrated Sub-2.4 GHz Transmitter With Duty-Cycle Controlled PA for Medical Band. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 5018-5029 (2022) - [j88]Xin Jin, Hao Lou, Heng Huang, Xinning Li, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. IEEE Trans. Intell. Transp. Syst. 23(12): 25226-25235 (2022) - [j87]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41(8): 2180-2190 (2022) - [j86]Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao:
Wavelet-Based Dual Recursive Network for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 33(2): 707-720 (2022) - [j85]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j84]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [c351]Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. AAAI 2022: 1350-1358 - [c350]Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. AAAI 2022: 6765-6773 - [c349]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI 2022: 7426-7434 - [c348]An Xu, Heng Huang:
Coordinating Momenta for Cross-Silo Federated Learning. AAAI 2022: 8735-8743 - [c347]Jiang Long, Mengmeng Li, Mingxing Cha, Xiaoqin Wang, Heng Huang:
Delineation of agricultural fields using Psi-Net from high-resolution remote sensing images. Agro-Geoinformatics 2022: 1-5 - [c346]Yang Gu, Yingrui Feng, Heng Huang, Yu Tian, Jian Cao:
RCPM: A Rule-Based Configurable Process Mining Method. ChineseCSCW (1) 2022: 422-436 - [c345]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM 2022: 57-66 - [c344]Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Towards Fairer Classifier via True Fairness Score Path. CIKM 2022: 3113-3121 - [c343]Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang:
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR 2022: 31-40 - [c342]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c341]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) 2022: 278-296 - [c340]Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang:
Disentangled Differentiable Network Pruning. ECCV (11) 2022: 328-345 - [c339]Yanfu Zhang, Shangqian Gao, Heng Huang:
Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) 2022: 481-498 - [c338]Xidong Wu, Feihu Huang, Heng Huang:
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM 2022: 578-587 - [c337]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. ICDM 2022: 1245-1250 - [c336]Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang:
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM 2022: 1317-1322 - [c335]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. ICLR 2022 - [c334]Xin Jin, Xinning Li, Heng Huang, Xiaodong Li, Chaoen Xiao, Xiqiao Li:
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction. ICME Workshops 2022: 1-6 - [c333]Hongchang Gao, Junyi Li, Heng Huang:
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML 2022: 7017-7035 - [c332]Yihan Wu, Hongyang Zhang, Heng Huang:
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. ICML 2022: 24266-24279 - [c331]An Xu, Heng Huang:
Detached Error Feedback for Distributed SGD with Random Sparsification. ICML 2022: 24550-24575 - [c330]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI 2022: 1916-1922 - [c329]Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan:
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI 2022: 1-5 - [c328]Wei Song, Heng Huang, Yusong Wu, Xiliang Liu, Chao Sun, Zijian Tang, Xiaoyan Ma, Tianhe Jiang, Xiong Zhong, Milin Zhang:
A 16-Channel Neural Recorder with 2.8 nJ/bit, 971.4 kbps sub-2.4 GHz polar transmitter. ISCAS 2022: 2710-2714 - [c327]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c326]Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang:
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD 2022: 2515-2523 - [c325]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c324]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c323]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) 2022: 356-365 - [c322]Xin Jin, Ke Liu, Dongqing Zou, Zhonglan Li, Heng Huang, Vajira Thambawita:
Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies. ACM Multimedia 2022: 7364-7367 - [c321]Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS 2022 - [c320]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [c319]Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang:
Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. RECOMB 2022: 209-229 - [c318]Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao:
Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones. SenSys 2022: 1182-1188 - [c317]Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW 2022: 1352-1361 - [i105]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai:
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. CoRR abs/2201.01929 (2022) - [i104]Xin Jin, Hao Lou, Heng Huang, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. CoRR abs/2201.02714 (2022) - [i103]Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR abs/2202.05268 (2022) - [i102]Hongyang Zhang, Yihan Wu, Heng Huang:
How Many Data Are Needed for Robust Learning? CoRR abs/2202.11592 (2022) - [i101]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai:
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR abs/2203.05709 (2022) - [i100]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - [i99]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR abs/2203.10329 (2022) - [i98]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR abs/2204.10981 (2022) - [i97]Junyi Li, Feihu Huang, Heng Huang:
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR abs/2205.01608 (2022) - [i96]Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR abs/2205.07854 (2022) - [i95]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR abs/2206.05558 (2022) - [i94]Yihan Wu, Hongyang Zhang, Heng Huang:
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. CoRR abs/2206.11225 (2022) - [i93]Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. CoRR abs/2207.03650 (2022) - [i92]Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang:
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR abs/2207.07650 (2022) - [i91]Xinghui Zhou, Xin Jin, Jianwen Lv, Heng Huang, Ming Mao, Shuai Cui:
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2. CoRR abs/2208.04522 (2022) - [i90]Xin Jin, Qiang Deng, Jianwen Lv, Heng Huang, Hao Lou, Chaoen Xiao:
Aesthetic Language Guidance Generation of Images Using Attribute Comparison. CoRR abs/2208.04740 (2022) - [i89]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CoRR abs/2208.06058 (2022) - [i88]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. CoRR abs/2209.02869 (2022) - [i87]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. CoRR abs/2210.07454 (2022) - [i86]Junyi Li, Heng Huang:
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. CoRR abs/2210.13686 (2022) - [i85]Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu:
BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR abs/2210.15790 (2022) - [i84]Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang:
Towards Robust Dataset Learning. CoRR abs/2211.10752 (2022) - [i83]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. CoRR abs/2212.00974 (2022) - [i82]Yihan Wu, Aleksandar Bojchevski, Heng Huang:
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. CoRR abs/2212.04983 (2022) - 2021
- [j83]Kamran Ghasedi Dizaji, Wei Chen, Heng Huang:
Deep Large-Scale Multitask Learning Network for Gene Expression Inference. J. Comput. Biol. 28(5): 485-500 (2021) - [j82]Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang:
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. J. Mach. Learn. Res. 22: 170:1-170:47 (2021) - [j81]Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang:
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. 110(8): 2005-2033 (2021) - [j80]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143: 669-677 (2021) - [j79]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang:
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. 68(11): 3336-3346 (2021) - [j78]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. IEEE Trans. Image Process. 30: 2045-2059 (2021) - [j77]Feiping Nie, Lai Tian, Heng Huang, Chris Ding:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30: 5277-5286 (2021) - [j76]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging 40(1): 154-165 (2021) - [j75]Xiang Jiang, Shikui Wei, Ting Liu, Ruizhen Zhao, Yao Zhao, Heng Huang:
Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization. IEEE Trans. Multim. 23: 2602-2613 (2021) - [j74]Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang:
Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2373-2387 (2021) - [j73]Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang:
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [j72]Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang:
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4111-4122 (2021) - [c316]Hongchang Gao, An Xu, Heng Huang:
On the Convergence of Communication-Efficient Local SGD for Federated Learning. AAAI 2021: 7510-7518 - [c315]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI 2021: 7883-7890 - [c314]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. AAAI 2021: 10405-10413 - [c313]An Xu, Zhouyuan Huo, Heng Huang:
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI 2021: 10478-10486 - [c312]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021: 10896-10904 - [c311]Shupei Ding, Mengmeng Li, Xiaoqin Wang, Ruijiao Wu, Heng Huang:
The use of Google Earth Engine and Geographical Detectors to monitor farmland changes in Fujian province. Agro-Geoinformatics 2021: 1-5 - [c310]Naixuan Wang, Jian Cao, Heng Huang, Yihua Ding, Qiang Ling:
A Strategy to Optimize the Timing of Prediction Information Release for Container Ships' Operation Process. BESC 2021: 1-5 - [c309]Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen:
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM 2021: 1381-1384 - [c308]Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) 2021: 106-115 - [c307]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CIKM 2021: 2598-2607 - [c306]Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang:
Network Pruning via Performance Maximization. CVPR 2021: 9270-9280 - [c305]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Unsupervised Hyperbolic Metric Learning. CVPR 2021: 12465-12474 - [c304]Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang:
Nearest Neighbor Matching for Deep Clustering. CVPR 2021: 13693-13702 - [c303]Yanfu Zhang, Shangqian Gao, Heng Huang:
Exploration and Estimation for Model Compression. ICCV 2021: 477-486 - [c302]Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang:
Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV 2021: 2198-2207 - [c301]Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang:
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. ICCV 2021: 9898-9907 - [c300]Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Finding Age Path of Self-Paced Learning. ICDM 2021: 151-160 - [c299]Yanfu Zhang, Lei Luo, Heng Huang:
Unified Fairness from Data to Learning Algorithm. ICDM 2021: 1499-1504 - [c298]Zhengmian Hu, Heng Huang:
On the Random Conjugate Kernel and Neural Tangent Kernel. ICML 2021: 4359-4368 - [c297]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c296]Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. MICCAI (1) 2021: 229-238 - [c295]Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang:
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) 2021: 508-518 - [c294]Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu:
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) 2021: 634-643 - [c293]Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang:
SwitchFlow: preemptive multitasking for deep learning. Middleware 2021: 146-158 - [c292]Hao Lou, Heng Huang, Chaoen Xiao, Xin Jin:
Aesthetic Evaluation and Guidance for Mobile Photography. ACM Multimedia 2021: 2780-2782 - [c291]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. NeurIPS 2021: 9074-9085 - [c290]Feihu Huang, Xidong Wu, Heng Huang:
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. NeurIPS 2021: 10431-10443 - [c289]Zhengmian Hu, Feihu Huang, Heng Huang:
Optimal Underdamped Langevin MCMC Method. NeurIPS 2021: 19363-19374 - [c288]Hongchang Gao, Heng Huang:
Fast Training Method for Stochastic Compositional Optimization Problems. NeurIPS 2021: 25334-25345 - [c287]Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang:
A Faster Decentralized Algorithm for Nonconvex Minimax Problems. NeurIPS 2021: 25865-25877 - [c286]Hongchang Gao, Heng Huang:
Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. SDM 2021: 405-413 - [i81]An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. CoRR abs/2102.03970 (2021) - [i80]Zhengmian Hu, Feihu Huang, Heng Huang:
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. CoRR abs/2102.04613 (2021) - [i79]Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang:
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. CoRR abs/2102.09026 (2021) - [i78]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR abs/2103.00958 (2021) - [i77]Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang:
Data Augmentation for Object Detection via Differentiable Neural Rendering. CoRR abs/2103.02852 (2021) - [i76]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Doubly Contrastive Deep Clustering. CoRR abs/2103.05484 (2021) - [i75]Zhou Zhai, Bin Gu, Heng Huang:
Learning Sampling Policy for Faster Derivative Free Optimization. CoRR abs/2104.04405 (2021) - [i74]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR abs/2106.08208 (2021) - [i73]Feihu Huang, Junyi Li, Heng Huang:
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR abs/2106.11264 (2021) - [i72]Feihu Huang, Heng Huang:
BiAdam: Fast Adaptive Bilevel Optimization Methods. CoRR abs/2106.11396 (2021) - [i71]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. CoRR abs/2106.12112 (2021) - [i70]Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR abs/2106.14033 (2021) - [i69]Feihu Huang, Heng Huang:
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. CoRR abs/2106.16101 (2021) - [i68]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - [i67]Feihu Huang, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. CoRR abs/2107.12301 (2021) - [i66]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i65]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - [i64]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR abs/2109.05788 (2021) - [i63]Xiyuan Wei, Bin Gu, Heng Huang:
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization. CoRR abs/2109.08858 (2021) - [i62]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i61]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR abs/2111.00006 (2021) - [i60]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR abs/2112.04660 (2021) - 2020
- [j71]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j70]Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang:
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21: 190:1-190:53 (2020) - [j69]Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen:
Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. 2(2): 141-150 (2020) - [j68]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j67]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [j66]Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu:
Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 536-546 (2020) - [j65]Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai:
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging 39(2): 447-457 (2020) - [j64]Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang:
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging 39(6): 1845-1855 (2020) - [j63]Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng:
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4610-4621 (2020) - [j62]Yangli-ao Geng, Qingyong Li, Mingfei Liang, Chong-Yung Chi, Juan Tan, Heng Huang:
Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. 31(8): 1799-1814 (2020) - [c285]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI 2020: 5734-5741 - [c284]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. AAAI 2020: 6981-6988 - [c283]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - [c282]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c281]Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR 2020: 1896-1905 - [c280]An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR 2020: 2085-2094 - [c279]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR 2020: 4242-4251 - [c278]Guanghan Ning, Jian Pei, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CVPR Workshops 2020: 4456-4465 - [c277]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR 2020: 6657-6666 - [c276]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Tom Weidong Cai:
Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. DICTA 2020: 1-7 - [c275]Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu:
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. ECAI 2020: 2022-2029 - [c274]Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao:
Binarized Neural Network for Single Image Super Resolution. ECCV (4) 2020: 91-107 - [c273]Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang:
A Heterogeneous Spatiotemporal Network for Lightning Prediction. ICDM 2020: 1034-1039 - [c272]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML 2020: 653-663 - [c271]Hongchang Gao, Heng Huang:
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML 2020: 3377-3386 - [c270]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. ICML 2020: 4422-4433 - [c269]Guodong Liu, Hong Chen, Heng Huang:
Sparse Shrunk Additive Models. ICML 2020: 6194-6204 - [c268]Lei Luo, Yanfu Zhang, Heng Huang:
Adversarial Nonnegative Matrix Factorization. ICML 2020: 6479-6488 - [c267]Lei Luo, Jian Pei, Heng Huang:
Sinkhorn Regression. IJCAI 2020: 2598-2604 - [c266]Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan:
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI 2020: 288-291 - [c265]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD 2020: 2483-2493 - [c264]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD 2020: 2706-2714 - [c263]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) 2020: 74-84 - [c262]Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang:
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) 2020: 480-490 - [c261]Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang:
Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) 2020: 635-645 - [c260]Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen:
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB 2020: 7-18 - [c259]Kamran Ghasedi Dizaji, Wei Chen, Heng Huang:
Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. RECOMB 2020: 19-36 - [c258]Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu:
Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. SIGIR 2020: 119-128 - [p1]Zhiyuan Dang, Bin Gu, Heng Huang:
Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning 2020: 66-80 - [i59]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Training Does Not Need Warmup. CoRR abs/2002.01576 (2020) - [i58]Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR abs/2002.02090 (2020) - [i57]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. CoRR abs/2002.06345 (2020) - [i56]An Xu, Zhouyuan Huo, Heng Huang:
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR abs/2002.11082 (2020) - [i55]An Xu, Zhouyuan Huo, Heng Huang:
Exploit Where Optimizer Explores via Residuals. CoRR abs/2004.05298 (2020) - [i54]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR abs/2005.02066 (2020) - [i53]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR abs/2006.10091 (2020) - [i52]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR abs/2006.16433 (2020) - [i51]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR abs/2007.00243 (2020) - [i50]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. CoRR abs/2007.06680 (2020) - [i49]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR abs/2008.01296 (2020) - [i48]An Xu, Zhouyuan Huo, Heng Huang:
Training Faster with Compressed Gradient. CoRR abs/2008.05823 (2020) - [i47]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR abs/2008.06197 (2020) - [i46]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - [i45]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR abs/2008.08170 (2020) - [i44]Hongchang Gao, Heng Huang:
Adaptive Serverless Learning. CoRR abs/2008.10422 (2020) - [i43]Hongchang Gao, Heng Huang:
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training. CoRR abs/2008.10435 (2020) - [i42]Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR abs/2009.00690 (2020) - [i41]Feihu Huang, Shangqian Gao, Heng Huang:
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. CoRR abs/2010.06097 (2020) - [i40]Xin Jin, Xiqiao Li, Heng Huang, Xiaodong Li, Xinghui Zhou:
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction. CoRR abs/2010.07661 (2020) - [i39]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR abs/2012.05980 (2020) - [i38]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR abs/2012.15318 (2020)
2010 – 2019
- 2019
- [j61]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j60]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j59]Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang:
Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. 91: 147-161 (2019) - [j58]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [j57]Wenhao Jiang, Hongchang Gao, Wei Lu, Wei Liu, Fu-Lai Chung, Heng Huang:
Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(3): 561-574 (2019) - [j56]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c257]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c256]Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI 2019: 3697-3704 - [c255]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c254]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - [c253]Heng Huang, Milin Zhang, Guolin Li, Zhihua Wang:
A 2Mbps sub-100µW Crystal-less RF Transmitter with Energy Harvesting for Multi-Channel Neural Signal Acquisition. A-SSCC 2019: 157-160 - [c252]Heng Huang:
Large-Scale Machine Learning Algorithms for Biomedical Data Science. BCB 2019: 4 - [c251]Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai:
Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. CVPR Workshops 2019: 1105-1113 - [c250]Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CVPR 2019: 1999-2007 - [c249]Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang:
Balanced Self-Paced Learning for Generative Adversarial Clustering Network. CVPR 2019: 4391-4400 - [c248]Shangqian Gao, Cheng Deng, Heng Huang:
Cross Domain Model Compression by Structurally Weight Sharing. CVPR 2019: 8973-8982 - [c247]Runxue Bao, Bin Gu, Heng Huang:
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM 2019: 958-963 - [c246]Hongchang Gao, Jian Pei, Heng Huang:
Demystifying Dropout. ICML 2019: 2112-2121 - [c245]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. ICML 2019: 2839-2848 - [c244]Bin Gu, Wenhan Xian, Heng Huang:
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. IJCAI 2019: 737-743 - [c243]Feng Zheng, Cheng Deng, Heng Huang:
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. IJCAI 2019: 1032-1040 - [c242]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI 2019: 2364-2370 - [c241]Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI 2019: 2549-2555 - [c240]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019: 3418-3424 - [c239]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c238]Yanfu Zhang, Heng Huang:
New Graph-Blind Convolutional Network for Brain Connectome Data Analysis. IPMI 2019: 669-681 - [c237]Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. ISBI 2019: 169-172 - [c236]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c235]Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu:
Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. ISBI 2019: 1788-1791 - [c234]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Weidong Cai:
Mask-Driven Mitosis Detection In Histopathology Images. ISBI 2019: 1855-1859 - [c233]Hongchang Gao, Jian Pei, Heng Huang:
Conditional Random Field Enhanced Graph Convolutional Neural Networks. KDD 2019: 276-284 - [c232]Hongchang Gao, Jian Pei, Heng Huang:
ProGAN: Network Embedding via Proximity Generative Adversarial Network. KDD 2019: 1308-1316 - [c231]Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang:
Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. KDD 2019: 1587-1595 - [c230]Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang:
Multi-Horizon Time Series Forecasting with Temporal Attention Learning. KDD 2019: 2527-2535 - [c229]Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI 2019: 30-38 - [c228]Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang:
Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. MBIA/MFCA@MICCAI 2019: 84-92 - [c227]Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia:
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) 2019: 110-118 - [c226]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen:
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) 2019: 140-148 - [c225]Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang:
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) 2019: 214-222 - [c224]Igor Fortel, Mitchell Butler, Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Ira Driscoll, Anastasios Sidiropoulos, Yanfu Zhang, Lei Guo, Heng Huang, Dan Schonfeld, Alex D. Leow:
Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. MICCAI (5) 2019: 503-511 - [c223]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [c222]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS 2019: 5520-5530 - [c221]Yongzhen Wang, Heng Huang, Yuliang Yan, Xiaozhong Liu:
Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior. WWW 2019: 2045-2055 - [c220]Heng Huang, Xiaozhong Liu, Yuliang Yan:
Domain-aware Neural Model for Sequence Labeling using Joint Learning. WWW 2019: 2837-2843 - [e2]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i37]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR abs/1902.06158 (2019) - [i36]Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CoRR abs/1904.04357 (2019) - [i35]Guanghan Ning, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CoRR abs/1905.02822 (2019) - [i34]Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. CoRR abs/1905.12729 (2019) - [i33]Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019) - [i32]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang:
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. CoRR abs/1907.01121 (2019) - [i31]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR abs/1907.11584 (2019) - [i30]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR abs/1907.12416 (2019) - [i29]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. CoRR abs/1907.13463 (2019) - [i28]An Xu, Zhouyuan Huo, Heng Huang:
Diversely Stale Parameters for Efficient Training of CNNs. CoRR abs/1909.02625 (2019) - [i27]Xiaoqian Wang, Heng Huang:
Approaching Machine Learning Fairness through Adversarial Network. CoRR abs/1909.03013 (2019) - [i26]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR abs/1909.06695 (2019) - [i25]Zhouyuan Huo, Heng Huang:
Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. CoRR abs/1910.04235 (2019) - [i24]Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai:
Region and Object based Panoptic Image Synthesis through Conditional GANs. CoRR abs/1912.06840 (2019) - [i23]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. CoRR abs/1912.11193 (2019) - [i22]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. CoRR abs/1912.11217 (2019) - 2018
- [j55]Xiaoqian Wang, Kamran Ghasedi Dizaji, Heng Huang:
Conditional generative adversarial network for gene expression inference. Bioinform. 34(17): i603-i611 (2018) - [j54]Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. 34(17): i866-i874 (2018) - [j53]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25(7): 809-824 (2018) - [j52]Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018) - [j51]Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu:
Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics 16(3-4): 309-324 (2018) - [j50]Nha Nguyen, An P. N. Vo, Haibin Sun, Heng Huang:
Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1625-1635 (2018) - [j49]Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu:
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37(7): 1551-1561 (2018) - [j48]Afaf Tareef, Yang Song, Heng Huang, Dagan Feng, Mei Chen, Yue Wang, Weidong Cai:
Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells. IEEE Trans. Medical Imaging 37(9): 2044-2059 (2018) - [j47]Lei Luo, Jian Yang, Bob Zhang, Jielin Jiang, Heng Huang:
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5330-5344 (2018) - [c219]Kamran Ghasedi Dizaji, Heng Huang:
Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. AAAI 2018: 1563-1570 - [c218]Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI 2018: 3085-3092 - [c217]Bin Gu, De Wang, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI 2018: 3093-3100 - [c216]Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI 2018: 3287-3294 - [c215]Lei Luo, Heng Huang:
Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. AAAI 2018: 3722-3729 - [c214]Feng Zheng, Heng Huang:
Direct Hashing Without Pseudo-Labels. AAAI 2018: 4539-4546 - [c213]Bin Gu, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS 2018: 1791-1800 - [c212]Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai:
Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. CVPR Workshops 2018: 2212-2220 - [c211]Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang:
Unsupervised Deep Generative Adversarial Hashing Network. CVPR 2018: 3664-3673 - [c210]Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. CVPR 2018: 5040-5049 - [c209]Zhouyuan Huo, Xue Jiang, Heng Huang:
Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. ICDM 2018: 167-176 - [c208]Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML 2018: 1807-1816 - [c207]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. ICML 2018: 2103-2111 - [c206]Hongchang Gao, Heng Huang:
Joint Generative Moment-Matching Network for Learning Structural Latent Code. IJCAI 2018: 2121-2127 - [c205]Hongchang Gao, Heng Huang:
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. IJCAI 2018: 2128-2134 - [c204]Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang:
New Balanced Active Learning Model and Optimization Algorithm. IJCAI 2018: 2826-2832 - [c203]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI 2018: 2919-2925 - [c202]Hongchang Gao, Heng Huang:
Deep Attributed Network Embedding. IJCAI 2018: 3364-3370 - [c201]Feng Zheng, Xin Miao, Heng Huang:
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. IJCAI 2018: 3697-3703 - [c200]Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu:
Modeling task fMRI data via mixture of deep expert networks. ISBI 2018: 82-86 - [c199]Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu:
Latent source mining of fMRI data via deep belief network. ISBI 2018: 595-598 - [c198]Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li:
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. ISBI 2018: 903-907 - [c197]Hongchang Gao, Heng Huang:
Self-Paced Network Embedding. KDD 2018: 1406-1415 - [c196]Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang:
Semi-Supervised Generative Adversarial Network for Gene Expression Inference. KDD 2018: 1435-1444 - [c195]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018: 1475-1484 - [c194]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD 2018: 2555-2564 - [c193]Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai:
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) 2018: 237-244 - [c192]Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang:
Temporal Correlation Structure Learning for MCI Conversion Prediction. MICCAI (3) 2018: 446-454 - [c191]Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) 2018: 555-562 - [c190]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS 2018: 4202-4211 - [c189]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. NeurIPS 2018: 6660-6669 - [c188]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c187]Zhouyuan Huo, Dinggang Shen, Heng Huang:
Genotype-Phenotype association study via new multi-task learning model. PSB 2018: 353-364 - [c186]Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, Yuliang Yan:
An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds. eCOM@SIGIR 2018 - [c185]Kamran Ghasedi Dizaji, Yanhua Yang, Heng Huang:
Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels. WSDM 2018: 144-152 - [i21]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR abs/1804.10574 (2018) - [i20]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. CoRR abs/1807.04511 (2018) - [i19]Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR abs/1807.06742 (2018) - 2017
- [j46]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, Dagan Feng, Mei Chen:
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. Neurocomputing 221: 94-107 (2017) - [j45]Afaf Tareef, Yang Song, Heng Huang, Yue Wang, Dagan Feng, Mei Chen, Weidong Cai:
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling. Neurocomputing 248: 28-40 (2017) - [j44]Yang Song, Qing Li, Fan Zhang, Heng Huang, Dagan Feng, Yue Wang, Mei Chen, Weidong Cai:
Dual discriminative local coding for tissue aging analysis. Medical Image Anal. 38: 65-76 (2017) - [j43]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j42]Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data 3(4): 405-414 (2017) - [j41]Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding:
From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 503-513 (2017) - [j40]Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Weidong Cai:
Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification. IEEE Trans. Medical Imaging 36(8): 1636-1649 (2017) - [c184]Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. AAAI 2017: 1905-1911 - [c183]Zhouyuan Huo, Heng Huang:
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. AAAI 2017: 2043-2049 - [c182]Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI 2017: 2294-2300 - [c181]Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. AAAI 2017: 2415-2421 - [c180]Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
Video Recovery via Learning Variation and Consistency of Images. AAAI 2017: 4082-4088 - [c179]Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai:
Locally-Transferred Fisher Vectors for Texture Classification. ICCV 2017: 4922-4930 - [c178]Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang:
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. ICCV 2017: 5747-5756 - [c177]Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang:
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. IJCAI 2017: 1958-1964 - [c176]Feiping Nie, Zhouyuan Huo, Heng Huang:
Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI 2017: 2557-2563 - [c175]Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang:
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI 2017: 3154-3160 - [c174]Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang:
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. IJCAI 2017: 3880-3886 - [c173]Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI 2017: 198-209 - [c172]Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu:
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI 2017: 411-424 - [c171]Bin Gu, Guodong Liu, Heng Huang:
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. KDD 2017: 185-193 - [c170]Yang Song, Hang Chang, Heng Huang, Weidong Cai:
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. MICCAI (3) 2017: 99-106 - [c169]Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang:
Group Sparse Additive Machine. NIPS 2017: 198-208 - [c168]Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang:
Regularized Modal Regression with Applications in Cognitive Impairment Prediction. NIPS 2017: 1448-1458 - [c167]Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang:
Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS 2017: 4129-4138 - [c166]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB 2017: 287-302 - [i18]Kamran Ghasedi Dizaji, Amirhossein Herandi, Heng Huang:
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. CoRR abs/1704.06327 (2017) - [i17]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics. CoRR abs/1710.08961 (2017) - [i16]Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li:
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. CoRR abs/1711.00049 (2017) - [i15]Zhouyuan Huo, Bin Gu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR abs/1711.03937 (2017) - 2016
- [j39]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32(10): 1544-1551 (2016) - [j38]Yang Song, Weidong Cai, Heng Huang, Dagan Feng, Yue Wang, Mei Chen:
Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors. BMC Bioinform. 17: 465:1-465:15 (2016) - [j37]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10(S-3): 68 (2016) - [j36]Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang:
Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data 11(1): 3:1-3:16 (2016) - [c165]Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang:
Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. AAAI 2016: 1324-1330 - [c164]Zhouyuan Huo, Ji Liu, Heng Huang:
Optimal Discrete Matrix Completion. AAAI 2016: 1687-1693 - [c163]Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang:
The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. AAAI 2016: 1723-1729 - [c162]Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang:
New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI 2016: 1962-1968 - [c161]Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. AAAI 2016: 1969-1976 - [c160]Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai:
Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors. ECCV Workshops (1) 2016: 306-317 - [c159]Dongdong Ye, Dinghao Sun, Wei-Jen Lee, Heng Huang, Yang Zhang:
Performance evaluation of two magnetic recovery circuits of forward converter. IAS 2016: 1-6 - [c158]Hongchang Gao, Xiaoqian Wang, Heng Huang:
New Robust Clustering Model for Identifying Cancer Genome Landscapes. ICDM 2016: 151-160 - [c157]Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang:
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM 2016: 301-310 - [c156]De Wang, Feiping Nie, Heng Huang:
Learning Task Relational Structure for Multi-task Feature Learning. ICDM 2016: 1239-1244 - [c155]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [c154]Feiping Nie, Heng Huang:
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. IJCAI 2016: 1874-1880 - [c153]De Wang, Feiping Nie, Heng Huang:
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. IJCAI 2016: 2104-2110 - [c152]Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu:
Latent source mining in FMRI data via deep neural network. ISBI 2016: 638-641 - [c151]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, David Dagan Feng, Yue Wang, Mei Chen:
Texture analysis of tissue aging using global and cluster constrained local coding. ISBI 2016: 1229-1232 - [c150]Xiaoqian Wang, Feiping Nie, Heng Huang:
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. KDD 2016: 1245-1254 - [c149]Zhouyuan Huo, Feiping Nie, Heng Huang:
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. KDD 2016: 1605-1614 - [c148]Xiaoqian Wang, Dinggang Shen, Heng Huang:
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. MICCAI (1) 2016: 273-281 - [c147]Zhouyuan Huo, Dinggang Shen, Heng Huang:
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) 2016: 317-325 - [c146]Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) 2016: 344-352 - [c145]Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai:
Error Analysis of Generalized Nyström Kernel Regression. NIPS 2016: 2541-2549 - [c144]Peng Li, Heng Huang:
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation. SemEval@NAACL-HLT 2016: 584-587 - [c143]Peng Li, Heng Huang:
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports. SemEval@NAACL-HLT 2016: 1268-1273 - [i14]Feiping Nie, Heng Huang:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. CoRR abs/1603.08293 (2016) - [i13]Peng Li, Heng Huang:
Clinical Information Extraction via Convolutional Neural Network. CoRR abs/1603.09381 (2016) - [i12]Peng Li, Heng Huang:
Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding. CoRR abs/1603.09405 (2016) - [i11]Zhouyuan Huo, Heng Huang:
Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. CoRR abs/1604.03584 (2016) - [i10]Zhouyuan Huo, Heng Huang:
Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. CoRR abs/1605.09066 (2016) - [i9]Zhouyuan Huo, Bin Gu, Heng Huang:
Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. CoRR abs/1609.06804 (2016) - [i8]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR abs/1610.04631 (2016) - [i7]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. CoRR abs/1610.04668 (2016) - [i6]Bin Gu, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. CoRR abs/1610.09447 (2016) - [i5]Bin Gu, Zhouyuan Huo, Heng Huang:
Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. CoRR abs/1612.01425 (2016) - [i4]Bin Gu, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. CoRR abs/1612.06003 (2016) - 2015
- [j35]Hua Wang, Heng Huang, Chris H. Q. Ding:
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. 22(6): 546-562 (2015) - [j34]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. Knowl. Inf. Syst. 42(3): 525-544 (2015) - [j33]Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu:
Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 20(1): 112-134 (2015) - [j32]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, David Dagan Feng:
Locality-constrained Subcluster Representation Ensemble for lung image classification. Medical Image Anal. 22(1): 102-113 (2015) - [j31]Hua Wang, Feiping Nie, Heng Huang:
Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. ACM Trans. Knowl. Discov. Data 10(1): 1:1-1:29 (2015) - [j30]De Wang, Feiping Nie, Heng Huang:
Feature Selection via Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 27(10): 2743-2755 (2015) - [j29]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Yue Wang, Michael J. Fulham, Mei Chen:
Large Margin Local Estimate With Applications to Medical Image Classification. IEEE Trans. Medical Imaging 34(6): 1362-1377 (2015) - [j28]Franklin L. Quilumba, Wei-Jen Lee, Heng Huang, David Yanshi Wang, Robert L. Szabados:
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities. IEEE Trans. Smart Grid 6(2): 911-918 (2015) - [c142]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. AAAI 2015: 1973-1979 - [c141]Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang:
Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI 2015: 2750-2756 - [c140]Hua Wang, Feiping Nie, Heng Huang:
Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI 2015: 3059-3065 - [c139]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH 2015: 275-284 - [c138]Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM 2015: 871-880 - [c137]Peng Li, Tom Weidong Cai, Heng Huang:
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization. CIKM 2015: 1401-1410 - [c136]Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang:
Fusing subcategory probabilities for texture classification. CVPR 2015: 4409-4417 - [c135]Xin Wang, Wei-Jen Lee, Heng Huang, Robert Louis Szabados, David Yanshi Wang, Peter Van Olinda:
Factors that impact the accuracy of clustering based load forecasting. IAS 2015: 1-6 - [c134]Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang:
Multi-view Subspace Clustering. ICCV 2015: 4238-4246 - [c133]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen:
Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. ICONIP (1) 2015: 390-400 - [c132]Jin Huang, Feiping Nie, Heng Huang:
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. IJCAI 2015: 3569-3575 - [c131]Wenhao Jiang, Feiping Nie, Heng Huang:
Robust Dictionary Learning with Capped l1-Norm. IJCAI 2015: 3590-3596 - [c130]Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang:
Discriminative Unsupervised Dimensionality Reduction. IJCAI 2015: 3925-3931 - [c129]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, David Dagan Feng:
Bone texture characterization with fisher encoding of local descriptors. ISBI 2015: 5-8 - [c128]Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang:
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. KDD 2015: 339-348 - [c127]Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang:
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) 2015: 169-176 - [i3]Wenhao Jiang, Feiping Nie, Korris Fu-Lai Chung, Heng Huang:
Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers. CoRR abs/1509.01710 (2015) - 2014
- [j27]Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen:
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30(17): 564-571 (2014) - [j26]Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen:
A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. 18(6): 881-890 (2014) - [j25]Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon:
Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization. Pers. Ubiquitous Comput. 18(1): 27-35 (2014) - [j24]