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ORCIDHeng Huang 0001
Person information
- affiliation: University of Maryland at College Park, MD, USA
- affiliation (former): University of Pittsburgh, PA, USA
Other persons with the same name
- Heng Huang — disambiguation page
- Heng Huang 0002
![[0000-0003-3036-2961]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3036-2961")
— University of Science and Technology of China, Hefei, Anhui, China - Heng Huang 0003 — Zhejiang Normal University, Jinhua, China
- Heng Huang 0004 — Guangdong Province Environmental Monitoring Center, Guangzhou, China
- Heng Huang 0005 — Xiaohongshu, Shanghai, China
- Heng Huang 0006 — Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
- Heng Huang 0007 — NeZha Smart Port & Shipping Technology (Shanghai) Co., Ltd, Shanghai, China
- Heng Huang 0008 — National and local joint Engineering Research Center for industrial friction and lubrication technology, Guangzhou, China
- Heng Huang 0009 — National University of Defense Technology, Changsha, China
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2020 – today
- 2025
[j112]Yanshuo Chen, Zhengmian Hu, Yihan Wu, Ruibo Chen, Yongrui Jin, Marcus Zhan, Chengjin Xie, Wei Chen, Heng Huang:
Enhancing privacy in biosecurity with watermarked protein design. Bioinform. 41(7) (2025)- [j111]Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang:
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. Bioinform. 41(Supplement_1): i513-i522 (2025) - [j110]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) - [j109]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) - [j108]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
On Structuring Hyperspherical Manifold for Probing Novel Biomedical Entities. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11446-11463 (2025) - [j107]Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang:
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. Trans. Mach. Learn. Res. 2025 (2025) - [j106]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) - [j105]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) - [c338]Frederick H. Xu, Duy Duong-Tran, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Yize Zhao, Li Shen:
Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. BCB 2025: 17:1-17:9 - [c337]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 - [c336]Qi He, Peiran Yu, Ziyi Chen, Heng Huang:
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. ICML 2025 - [c335]Wenhan Xian, Feihu Huang, Heng Huang:
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. IJCAI 2025: 6659-6668 - [c334]Florence X. Doo, Huiwen Han, Bradley A. Maron, Heng Huang:
Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES). Agentic AI/CREATE/Clinical MLLMs@MICCAI 2025: 239-248 - [c333]Kai Huang, Xiangyu Yin, Heng Huang, Wei Gao:
Modality Plug-and-Play: Runtime Modality Adaptation in LLM-Driven Autonomous Mobile Systems. MobiCom 2025: 543-558 - [c332]Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson:
Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data. SIPAIM 2025: 1-4 - [i111]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
Client-Centric Federated Adaptive Optimization. CoRR abs/2501.09946 (2025) - [i110]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) - [i109]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) - [i108]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) - [i107]Qi He, Peiran Yu, Ziyi Chen, Heng Huang:
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. CoRR abs/2507.08913 (2025) - [i106]Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao:
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning. CoRR abs/2508.11049 (2025) - [i105]Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang:
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. CoRR abs/2508.17448 (2025) - [i104]Ruibo Chen, Sheng Zhang, Yihan Wu, Tong Zheng, Peihua Mai, Heng Huang:
Model Correlation Detection via Random Selection Probing. CoRR abs/2509.24171 (2025) - [i103]Ziyi Chen, Heng Huang:
Achieve Performatively Optimal Policy for Performative Reinforcement Learning. CoRR abs/2510.04430 (2025) - [i102]Ziyi Chen, Su Zhang, Heng Huang:
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning. CoRR abs/2510.04432 (2025) - [i101]Ziyi Chen, Peiran Yu, Heng Huang:
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization. CoRR abs/2510.04446 (2025) - [i100]Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang:
Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment. CoRR abs/2510.05526 (2025) - [i99]Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan:
Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. CoRR abs/2512.13747 (2025) - [i98]Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Lifang He, Liang Zhan, Haoteng Tang:
R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression. CoRR abs/2512.18986 (2025) - 2024
- [j104]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) - [j103]Chenkang Zhang, Heng Huang, Bin Gu:
Tackle balancing constraints in semi-supervised ordinal regression. Mach. Learn. 113(5): 2575-2595 (2024) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]Peiran Yu, Junyi Li, Heng Huang:
Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. Trans. Mach. Learn. Res. 2024 (2024) - [j97]Zhou Zhai, Heng Huang, Bin Gu:
Kernel Path for Semisupervised Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1512-1522 (2024) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [c331]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [c330]Taeuk Jang, Xiaoqian Wang, Heng Huang:
Adversarial Fairness Network. AAAI 2024: 22159-22166 - [c329]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 - [c328]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 - [c327]Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang:
Device-Wise Federated Network Pruning. CVPR 2024: 12342-12352 - [c326]Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang:
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. CVPR 2024: 16090-16100 - [c325]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 - [c324]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. ECCV (14) 2024: 107-123 - [c323]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 - [c322]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 - [c321]Ziyi Chen, Yi Zhou, Heng Huang:
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. ICLR 2024 - [c320]Kai Huang, Hanyun Yin, Heng Huang, Wei Gao:
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. ICLR 2024 - [c319]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. ICLR 2024 - [c318]Peiran Yu, Junyi Li, Heng Huang:
Dropout Enhanced Bilevel Training. ICLR 2024 - [c317]Ziyi Chen, Heng Huang:
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. ICML 2024: 6847-6880 - [c316]Wenhan Xian, Ziyi Chen, Heng Huang:
Delving into the Convergence of Generalized Smooth Minimax Optimization. ICML 2024: 54191-54211 - [c315]Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang:
Retrieval Across Any Domains via Large-scale Pre-trained Model. ICML 2024: 55901-55912 - [c314]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. ISBI 2024: 1-5 - [c313]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI 2024: 1-5 - [c312]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 - [c311]Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang:
Robust Reinforcement Learning with General Utility. NeurIPS 2024 - [c310]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. NeurIPS 2024 - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]Junyi Li, Heng Huang:
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. CoRR abs/2411.05868 (2024) - [i89]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) - 2023
- [j92]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) - [j91]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) - [j90]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) - [j89]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j88]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) - [j87]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) - [c309]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. AAAI 2023: 10379-10387 - [c308]Zhou Zhai, Lei Luo, Heng Huang, Bin Gu:
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. AAAI 2023: 11918-11925 - [c307]Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang:
Structural Alignment for Network Pruning through Partial Regularization. ICCV 2023: 17356-17366 - [c306]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 - [c305]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 - [c304]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c303]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 - [c302]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 - [c301]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 - [c300]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 - [c299]Junyi Li, Heng Huang:
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. NeurIPS 2023 - [c298]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. NeurIPS 2023 - [c297]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c296]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [i88]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR abs/2302.06103 (2023) - [i87]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR abs/2302.06701 (2023) - [i86]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i85]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i84]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) - [i83]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR abs/2308.03035 (2023) - [i82]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) - [i81]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i80]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) - [i79]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - 2022
- [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [j79]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) - [j78]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) - [j77]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j76]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) - [c295]Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. AAAI 2022: 1350-1358 - [c294]Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. AAAI 2022: 6765-6773 - [c293]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI 2022: 7426-7434 - [c292]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM 2022: 57-66 - [c291]Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Towards Fairer Classifier via True Fairness Score Path. CIKM 2022: 3113-3121 - [c290]Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang:
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR 2022: 31-40 - [c289]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) 2022: 278-296 - [c288]Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang:
Disentangled Differentiable Network Pruning. ECCV (11) 2022: 328-345 - [c287]Yanfu Zhang, Shangqian Gao, Heng Huang:
Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) 2022: 481-498 - [c286]Xidong Wu, Feihu Huang, Heng Huang:
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM 2022: 578-587 - [c285]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. ICDM 2022: 1245-1250 - [c284]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 - [c283]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. ICLR 2022 - [c282]Hongchang Gao, Junyi Li, Heng Huang:
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML 2022: 7017-7035 - [c281]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 - [c280]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c279]Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang:
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD 2022: 2515-2523 - [c278]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c277]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c276]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) 2022: 356-365 - [c275]Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS 2022 - [c274]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [c273]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 - [c272]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 - [c271]Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW 2022: 1352-1361 - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]Junyi Li, Feihu Huang, Heng Huang:
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR abs/2205.01608 (2022) - [i73]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) - [i72]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR abs/2206.05558 (2022) - [i71]Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. CoRR abs/2207.03650 (2022) - [i70]Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan:
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR abs/2207.07650 (2022) - [i69]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CoRR abs/2208.06058 (2022) - [i68]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. CoRR abs/2210.07454 (2022) - [i67]Junyi Li, Heng Huang:
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. CoRR abs/2210.13686 (2022) - [i66]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) - [i65]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. CoRR abs/2212.00974 (2022) - 2021
- [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [c270]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI 2021: 7883-7890 - [c269]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. AAAI 2021: 10405-10413 - [c268]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021: 10896-10904 - [c267]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 - [c266]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 - [c265]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 - [c264]Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang:
Network Pruning via Performance Maximization. CVPR 2021: 9270-9280 - [c263]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Unsupervised Hyperbolic Metric Learning. CVPR 2021: 12465-12474 - [c262]Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang:
Nearest Neighbor Matching for Deep Clustering. CVPR 2021: 13693-13702 - [c261]Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang:
Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV 2021: 2198-2207 - [c260]Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang:
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. ICCV 2021: 9898-9907 - [c259]Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Finding Age Path of Self-Paced Learning. ICDM 2021: 151-160 - [c258]Yanfu Zhang, Lei Luo, Heng Huang:
Unified Fairness from Data to Learning Algorithm. ICDM 2021: 1499-1504 - [c257]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 - [c256]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 - [c255]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 - [c254]Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang:
SwitchFlow: preemptive multitasking for deep learning. Middleware 2021: 146-158 - [c253]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. NeurIPS 2021: 9074-9085 - [c252]Feihu Huang, Xidong Wu, Heng Huang:
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. NeurIPS 2021: 10431-10443 - [c251]Zhengmian Hu, Feihu Huang, Heng Huang:
Optimal Underdamped Langevin MCMC Method. NeurIPS 2021: 19363-19374 - [c250]Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang:
A Faster Decentralized Algorithm for Nonconvex Minimax Problems. NeurIPS 2021: 25865-25877 - [i64]Zhengmian Hu, Feihu Huang, Heng Huang:
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. CoRR abs/2102.04613 (2021) - [i63]Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang:
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. CoRR abs/2102.09026 (2021) - [i62]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR abs/2103.00958 (2021) - [i61]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Doubly Contrastive Deep Clustering. CoRR abs/2103.05484 (2021) - [i60]Zhou Zhai, Bin Gu, Heng Huang:
Learning Sampling Policy for Faster Derivative Free Optimization. CoRR abs/2104.04405 (2021) - [i59]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR abs/2106.08208 (2021) - [i58]Feihu Huang, Junyi Li, Heng Huang:
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR abs/2106.11264 (2021) - [i57]Feihu Huang, Heng Huang:
BiAdam: Fast Adaptive Bilevel Optimization Methods. CoRR abs/2106.11396 (2021) - [i56]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. CoRR abs/2106.12112 (2021) - [i55]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) - [i54]Feihu Huang, Heng Huang:
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. CoRR abs/2106.16101 (2021) - [i53]Feihu Huang, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. CoRR abs/2107.12301 (2021) - [i52]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR abs/2111.00006 (2021) - [i46]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR abs/2112.04660 (2021) - 2020
- [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [c249]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 - [c248]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. AAAI 2020: 6981-6988 - [c247]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 - [c246]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c245]Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR 2020: 1896-1905 - [c244]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 - [c243]Guanghan Ning, Jian Pei, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CVPR Workshops 2020: 4456-4465 - [c242]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR 2020: 6657-6666 - [c241]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 - [c240]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 - [c239]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 - [c238]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML 2020: 653-663 - [c237]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. ICML 2020: 4422-4433 - [c236]Guodong Liu, Hong Chen, Heng Huang:
Sparse Shrunk Additive Models. ICML 2020: 6194-6204 - [c235]Lei Luo, Yanfu Zhang, Heng Huang:
Adversarial Nonnegative Matrix Factorization. ICML 2020: 6479-6488 - [c234]Lei Luo, Jian Pei, Heng Huang:
Sinkhorn Regression. IJCAI 2020: 2598-2604 - [c233]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 - [c232]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD 2020: 2483-2493 - [c231]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD 2020: 2706-2714 - [c230]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 - [c229]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 - [c228]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 - [c227]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 - [c226]Kamran Ghasedi Dizaji, Wei Chen, Heng Huang:
Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. RECOMB 2020: 19-36 - [p1]Zhiyuan Dang, Bin Gu, Heng Huang:
Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning 2020: 66-80 - [i45]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Training Does Not Need Warmup. CoRR abs/2002.01576 (2020) - [i44]Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR abs/2002.02090 (2020) - [i43]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) - [i42]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) - [i41]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR abs/2006.10091 (2020) - [i40]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR abs/2006.16433 (2020) - [i39]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) - [i38]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. CoRR abs/2007.06680 (2020) - [i37]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR abs/2008.01296 (2020) - [i36]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR abs/2008.06197 (2020) - [i35]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) - [i34]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR abs/2008.08170 (2020) - [i33]Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR abs/2009.00690 (2020) - [i32]Feihu Huang, Shangqian Gao, Heng Huang:
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. CoRR abs/2010.06097 (2020) - [i31]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) - [i30]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
- [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c225]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c224]Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI 2019: 3697-3704 - [c223]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c222]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - [c221]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 - [c220]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 - [c219]Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang:
Balanced Self-Paced Learning for Generative Adversarial Clustering Network. CVPR 2019: 4391-4400 - [c218]Shangqian Gao, Cheng Deng, Heng Huang:
Cross Domain Model Compression by Structurally Weight Sharing. CVPR 2019: 8973-8982 - [c217]Runxue Bao, Bin Gu, Heng Huang:
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM 2019: 958-963 - [c216]Hongchang Gao, Jian Pei, Heng Huang:
Demystifying Dropout. ICML 2019: 2112-2121 - [c215]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. ICML 2019: 2839-2848 - [c214]Bin Gu, Wenhan Xian, Heng Huang:
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. IJCAI 2019: 737-743 - [c213]Feng Zheng, Cheng Deng, Heng Huang:
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. IJCAI 2019: 1032-1040 - [c212]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI 2019: 2364-2370 - [c211]Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI 2019: 2549-2555 - [c210]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 - [c209]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 - [c208]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 - [c207]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 - [c206]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 - [c205]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Weidong Cai:
Mask-Driven Mitosis Detection In Histopathology Images. ISBI 2019: 1855-1859 - [c204]Hongchang Gao, Jian Pei, Heng Huang:
Conditional Random Field Enhanced Graph Convolutional Neural Networks. KDD 2019: 276-284 - [c203]Hongchang Gao, Jian Pei, Heng Huang:
ProGAN: Network Embedding via Proximity Generative Adversarial Network. KDD 2019: 1308-1316 - [c202]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 - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]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 - [c196]Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang:
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) 2019: 214-222 - [c195]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 - [c194]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [c193]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS 2019: 5520-5530 - [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] - [i29]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) - [i28]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) - [i27]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) - [i26]Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019) - [i25]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) - [i24]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) - [i23]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) - [i22]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. CoRR abs/1907.13463 (2019) - [i21]Xiaoqian Wang, Heng Huang:
Approaching Machine Learning Fairness through Adversarial Network. CoRR abs/1909.03013 (2019) - [i20]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR abs/1909.06695 (2019) - [i19]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) - [i18]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) - [i17]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. CoRR abs/1912.11217 (2019) - 2018
- [j48]Xiaoqian Wang, Kamran Ghasedi Dizaji, Heng Huang:
Conditional generative adversarial network for gene expression inference. Bioinform. 34(17): i603-i611 (2018) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [c192]Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI 2018: 3085-3092 - [c191]Bin Gu, De Wang, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI 2018: 3093-3100 - [c190]Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI 2018: 3287-3294 - [c189]Lei Luo, Heng Huang:
Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. AAAI 2018: 3722-3729 - [c188]Feng Zheng, Heng Huang:
Direct Hashing Without Pseudo-Labels. AAAI 2018: 4539-4546 - [c187]Bin Gu, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS 2018: 1791-1800 - [c186]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 - [c185]Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang:
Unsupervised Deep Generative Adversarial Hashing Network. CVPR 2018: 3664-3673 - [c184]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 - [c183]Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML 2018: 1807-1816 - [c182]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. ICML 2018: 2103-2111 - [c181]Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang:
New Balanced Active Learning Model and Optimization Algorithm. IJCAI 2018: 2826-2832 - [c180]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI 2018: 2919-2925 - [c179]Feng Zheng, Xin Miao, Heng Huang:
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. IJCAI 2018: 3697-3703 - [c178]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 - [c177]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 - [c176]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 - [c175]Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang:
Semi-Supervised Generative Adversarial Network for Gene Expression Inference. KDD 2018: 1435-1444 - [c174]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018: 1475-1484 - [c173]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD 2018: 2555-2564 - [c172]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 - [c171]Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang:
Temporal Correlation Structure Learning for MCI Conversion Prediction. MICCAI (3) 2018: 446-454 - [c170]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 - [c169]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS 2018: 4202-4211 - [c168]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. NeurIPS 2018: 6660-6669 - [c167]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c166]Zhouyuan Huo, Dinggang Shen, Heng Huang:
Genotype-Phenotype association study via new multi-task learning model. PSB 2018: 353-364 - [i16]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR abs/1804.10574 (2018) - [i15]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. CoRR abs/1807.04511 (2018) - [i14]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
- [j39]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) - [j38]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) - [j37]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) - [j36]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j35]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) - [j34]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) - [j33]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) - [c165]Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. AAAI 2017: 1905-1911 - [c164]Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI 2017: 2294-2300 - [c163]Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. AAAI 2017: 2415-2421 - [c162]Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
Video Recovery via Learning Variation and Consistency of Images. AAAI 2017: 4082-4088 - [c161]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 - [c160]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 - [c159]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 - [c158]Feiping Nie, Zhouyuan Huo, Heng Huang:
Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI 2017: 2557-2563 - [c157]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 - [c156]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 - [c155]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 - [c154]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 - [c153]Bin Gu, Guodong Liu, Heng Huang:
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. KDD 2017: 185-193 - [c152]Yang Song, Hang Chang, Heng Huang, Weidong Cai:
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. MICCAI (3) 2017: 99-106 - [c151]Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang:
Group Sparse Additive Machine. NIPS 2017: 198-208 - [c150]Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang:
Regularized Modal Regression with Applications in Cognitive Impairment Prediction. NIPS 2017: 1448-1458 - [c149]Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang:
Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS 2017: 4129-4138 - [c148]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 - [i13]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) - [i12]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) - [i11]Zhouyuan Huo, Bin Gu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR abs/1711.03937 (2017) - 2016
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [c147]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 - [c146]Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang:
The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. AAAI 2016: 1723-1729 - [c145]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 - [c144]Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. AAAI 2016: 1969-1976 - [c143]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 - [c142]Hongchang Gao, Xiaoqian Wang, Heng Huang:
New Robust Clustering Model for Identifying Cancer Genome Landscapes. ICDM 2016: 151-160 - [c141]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 - [c140]De Wang, Feiping Nie, Heng Huang:
Learning Task Relational Structure for Multi-task Feature Learning. ICDM 2016: 1239-1244 - [c139]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [c138]Feiping Nie, Heng Huang:
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. IJCAI 2016: 1874-1880 - [c137]De Wang, Feiping Nie, Heng Huang:
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. IJCAI 2016: 2104-2110 - [c136]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 - [c135]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 - [c134]Xiaoqian Wang, Feiping Nie, Heng Huang:
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. KDD 2016: 1245-1254 - [c133]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 - [c132]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 - [c131]Zhouyuan Huo, Dinggang Shen, Heng Huang:
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) 2016: 317-325 - [c130]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 - [c129]Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai:
Error Analysis of Generalized Nyström Kernel Regression. NIPS 2016: 2541-2549 - [i10]Feiping Nie, Heng Huang:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. CoRR abs/1603.08293 (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
- [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]De Wang, Feiping Nie, Heng Huang:
Feature Selection via Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 27(10): 2743-2755 (2015) - [j22]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) - [c128]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 - [c127]Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang:
Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI 2015: 2750-2756 - [c126]Hua Wang, Feiping Nie, Heng Huang:
Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI 2015: 3059-3065 - [c125]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 - [c124]Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM 2015: 871-880 - [c123]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 - [c122]Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang:
Fusing subcategory probabilities for texture classification. CVPR 2015: 4409-4417 - [c121]Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang:
Multi-view Subspace Clustering. ICCV 2015: 4238-4246 - [c120]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 - [c119]Jin Huang, Feiping Nie, Heng Huang:
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. IJCAI 2015: 3569-3575 - [c118]Wenhao Jiang, Feiping Nie, Heng Huang:
Robust Dictionary Learning with Capped l1-Norm. IJCAI 2015: 3590-3596 - [c117]Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang:
Discriminative Unsupervised Dimensionality Reduction. IJCAI 2015: 3925-3931 - [c116]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 - [c115]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 - [c114]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
- [j21]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) - [j20]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) - [j19]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) - [j18]Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J. Fulham, David Dagan Feng:
Lung Nodule Classification With Multilevel Patch-Based Context Analysis. IEEE Trans. Biomed. Eng. 61(4): 1155-1166 (2014) - [j17]Vangelis Metsis, Fillia Makedon, Dinggang Shen, Heng Huang:
DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 168-181 (2014) - [j16]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael J. Fulham, David Dagan Feng:
Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. IEEE Trans. Medical Imaging 33(2): 408-421 (2014) - [j15]Hua Wang, Heng Huang, Fillia Makedon:
Emotion Detection via Discriminant Laplacian Embedding. Univers. Access Inf. Soc. 13(1): 23-31 (2014) - [c113]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. AAAI 2014: 1171-1177 - [c112]Hua Wang, Feiping Nie, Heng Huang:
Globally and Locally Consistent Unsupervised Projection. AAAI 2014: 1328-1333 - [c111]Hua Wang, Feiping Nie, Heng Huang:
Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI 2014: 2846-2852 - [c110]Feiping Nie, Yizhen Huang, Heng Huang:
Linear Time Solver for Primal SVM. ICML 2014: 505-513 - [c109]Feiping Nie, Jianjun Yuan, Heng Huang:
Optimal Mean Robust Principal Component Analysis. ICML 2014: 1062-1070 - [c108]Hua Wang, Feiping Nie, Heng Huang:
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML 2014: 1836-1844 - [c107]Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen:
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI 2014: 665-668 - [c106]De Wang, Feiping Nie, Heng Huang:
Large-scale adaptive semi-supervised learning via unified inductive and transductive model. KDD 2014: 482-491 - [c105]Feiping Nie, Xiaoqian Wang, Heng Huang:
Clustering and projected clustering with adaptive neighbors. KDD 2014: 977-986 - [c104]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Mei Chen:
Large Margin Aggregation of Local Estimates for Medical Image Classification. MICCAI (2) 2014: 196-203 - [c103]De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang:
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) 2014: 313-320 - [c102]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) 2014: 329-336 - [c101]De Wang, Feiping Nie, Heng Huang:
Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). ECML/PKDD (3) 2014: 306-321 - [c100]Feiping Nie, Xiao Cai, Heng Huang:
Flexible Shift-Invariant Locality and Globality Preserving Projections. ECML/PKDD (2) 2014: 485-500 - [c99]Hua Wang, Heng Huang, Chris H. Q. Ding:
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB 2014: 311-325 - [i2]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Sparse PCA for Feature Analysis. CoRR abs/1411.6233 (2014) - 2013
- [j14]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng, Mei Chen:
Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling. BMC Bioinform. 14: 173 (2013) - [j13]Hua Wang, Heng Huang, Chris H. Q. Ding:
Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. 20(4): 322-343 (2013) - [j12]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. 20(4): 344-358 (2013) - [j11]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Toward structural sparsity: an explicit ℓ2/ℓ0 approach. Knowl. Inf. Syst. 36(2): 411-438 (2013) - [j10]Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, Yu Lei:
Social trust prediction using heterogeneous networks. ACM Trans. Knowl. Discov. Data 7(4): 17:1-17:21 (2013) - [j9]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 8(3): 11:1-11:21 (2013) - [c98]Jin Huang, Feiping Nie, Heng Huang:
Robust Discrete Matrix Completion. AAAI 2013: 424-430 - [c97]Jin Huang, Feiping Nie, Heng Huang:
Spectral Rotation versus K-Means in Spectral Clustering. AAAI 2013: 431-437 - [c96]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. AAAI 2013: 438-444 - [c95]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR 2013: 3097-3102 - [c94]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
New Graph Structured Sparsity Model for Multi-label Image Annotations. ICCV 2013: 801-808 - [c93]Hua Wang, Feiping Nie, Weidong Cai, Heng Huang:
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV 2013: 1145-1152 - [c92]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. ICCV 2013: 1737-1744 - [c91]Hua Wang, Feiping Nie, Heng Huang:
Robust and Discriminative Self-Taught Learning. ICML (3) 2013: 298-306 - [c90]Hua Wang, Feiping Nie, Heng Huang:
Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) 2013: 352-360 - [c89]Xiao Cai, Feiping Nie, Heng Huang:
Exact Top-k Feature Selection via l2, 0-Norm Constraint. IJCAI 2013: 1240-1246 - [c88]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI 2013: 1565-1571 - [c87]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI 2013: 1572-1578 - [c86]Hua Wang, Heng Huang, Chris H. Q. Ding:
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI 2013: 2049-2056 - [c85]Xiao Cai, Feiping Nie, Heng Huang:
Multi-View K-Means Clustering on Big Data. IJCAI 2013: 2598-2604 - [c84]Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding:
Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI 2013: 2647-2653 - [c83]De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI 2013: 536-547 - [c82]Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD 2013: 1124-1132 - [c81]Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA 2013: 202-210 - [c80]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Similarity Guided Feature Labeling for Lesion Detection. MICCAI (1) 2013: 284-291 - [c79]Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen:
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) 2013: 625-632 - [e1]Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin:
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings. Lecture Notes in Computer Science 8159, Springer 2013, ISBN 978-3-319-02125-6 [contents] - 2012
- [j8]Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. 28(2): 229-237 (2012) - [j7]Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint stage recognition and anatomical annotation of drosophila gene expression patterns. Bioinform. 28(12): 16-24 (2012) - [j6]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. 28(12): 127-136 (2012) - [j5]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28(18): 619-625 (2012) - [c78]Feiping Nie, Heng Huang, Chris H. Q. Ding:
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012: 655-661 - [c77]Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu:
Trust prediction via aggregating heterogeneous social networks. CIKM 2012: 1774-1778 - [c76]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng:
Object localization in medical images based on graphical model with contrast and interest-region terms. CVPR Workshops 2012: 1-7 - [c75]Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao:
Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR 2012: 2352-2359 - [c74]Hua Wang, Feiping Nie, Heng Huang:
Robust and discriminative distance for Multi-Instance Learning. CVPR 2012: 2919-2924 - [c73]Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding:
Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) 2012: 823-836 - [c72]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012: 489-498 - [c71]Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding:
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM 2012: 566-574 - [c70]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c69]Hua Wang, Dhiraj Joshi, Jiebo Luo, Heng Huang, Minwoo Park:
Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. ISM 2012: 69-72 - [c68]Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen:
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA 2012: 1-17 - [c67]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng:
Context Enhanced Graphical Model for Object Localization in Medical Images. MCV 2012: 194-205 - [c66]Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang:
Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. MICCAI (2) 2012: 271-279 - [c65]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS 2012: 1286-1294 - [c64]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - [c63]Hua Wang, Heng Huang, Chris H. Q. Ding:
Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB 2012: 302-313 - [c62]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB 2012: 314-325 - 2011
- [c61]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011: 417-422 - [c60]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011: 423-428 - [c59]Hua Wang, Feiping Nie, Heng Huang:
Learning Instance Specific Distance for Multi-Instance Classification. AAAI 2011: 507-512 - [c58]Hua Wang, Heng Huang, Chris H. Q. Ding:
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM 2011: 279-284 - [c57]Deguang Kong, Chris H. Q. Ding, Heng Huang:
Robust nonnegative matrix factorization using L21-norm. CIKM 2011: 673-682 - [c56]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image annotation using bi-relational graph of images and semantic labels. CVPR 2011: 793-800 - [c55]Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar:
Heterogeneous image feature integration via multi-modal spectral clustering. CVPR 2011: 1977-1984 - [c54]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 - [c53]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c52]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV 2011: 1443-1448 - [c51]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 - [c50]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c49]Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 - [c48]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM 2011: 774-783 - [c47]Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang:
Cauchy Graph Embedding. ICML 2011: 553-560 - [c46]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI 2011: 1384-1389 - [c45]Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang:
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438 - [c44]Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon:
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI 2011: 1553-1558 - [c43]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) 2011: 115-123 - [c42]Hua Wang, Feiping Nie, Heng Huang, Yi Yang:
Learning frame relevance for video classification. ACM Multimedia 2011: 1345-1348 - [c41]Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding:
Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 - [c40]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) 2011: 148-159 - [c39]Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon:
Cost effective depression patient thought record categorization via self-taught learning. PETRA 2011: 41 - [c38]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) 2011: 390-404 - [c37]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c36]Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding:
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR 2011: 933-942 - 2010
- [j4]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Mach. Learn. 81(1): 37-51 (2010) - [c35]Hua Wang, Heng Huang, Chris H. Q. Ding:
Discriminant Laplacian Embedding. AAAI 2010: 618-623 - [c34]Hua Wang, Chris H. Q. Ding, Heng Huang:
Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI 2010: 1264-1266 - [c33]Hua Wang, Chris H. Q. Ding, Heng Huang:
Multi-label Linear Discriminant Analysis. ECCV (6) 2010: 126-139 - [c32]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image Categorization Using Directed Graphs. ECCV (3) 2010: 762-775 - [c31]Hua Wang, Heng Huang, Chris H. Q. Ding:
Multi-label Feature Transform for Image Classifications. ECCV (4) 2010: 793-806 - [c30]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM 2010: 344-353 - [c29]Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding:
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS 2010: 1813-1821 - [c28]Fillia Makedon, Rong Zhang, Georgios Alexandrakis, Charles B. Owen, Heng Huang, Andrew J. Saykin:
An interactive user interface system for Alzheimer's intervention. PETRA 2010 - [c27]Hua Wang, Heng Huang, Yanzi Hu, Mindi Anderson, Pamela R. Rollins, Fillia Makedon:
Emotion detection via discriminative kernel method. PETRA 2010 - [c26]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466 - [c25]Hua Wang, Chris H. Q. Ding, Heng Huang:
Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) 2010: 451-466
2000 – 2009
- 2009
- [j3]Fillia Makedon, Zhengyi Le, Heng Huang, Eric Becker, Dimitrios I. Kosmopoulos:
An event driven framework for assistive CPS environments. SIGBED Rev. 6(2): 3 (2009) - [c24]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827 - [c23]Hua Wang, Heng Huang, Chris H. Q. Ding:
Image annotation using multi-label correlated Green's function. ICCV 2009: 2029-2034 - [c22]Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li:
Non-negative Laplacian Embedding. ICDM 2009: 337-346 - [c21]Vangelis Metsis, Heng Huang, Fillia Makedon, Aria Tzika:
Heterogeneous Data Fusion to Type Brain Tumor Biopsies. AIAI 2009: 233-240 - [i1]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms. CoRR abs/0902.4521 (2009) - 2008
- [c20]Chris H. Q. Ding, Heng Huang, Dijun Luo:
Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008 - [c19]Heng Huang, Chris H. Q. Ding:
Robust tensor factorization using R1 norm. CVPR 2008 - [c18]Heng Huang, Fillia Makedon, Roderick W. McColl:
High dimensional statistical shape model for medical image analysis. ISBI 2008: 1541-1544 - [c17]Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li:
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD 2008: 327-335 - [c16]Eric Becker, Yurong Xu, Heng Huang, Fillia Makedon:
Requirements for implementation of localization into real-world assistive environments. PETRA 2008: 13 - 2007
- [j2]Heng Huang, Li Shen, Nha Nguyen:
Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ. Simul. 83(4): 321-327 (2007) - [j1]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Andrew J. Saykin, Justin D. Pearlman:
A Novel Surface Registration Algorithm With Biomedical Modeling Applications. IEEE Trans. Inf. Technol. Biomed. 11(4): 474-482 (2007) - [c15]Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang:
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE 2007: 211-217 - [c14]Li Shen, Heng Huang, Fillia Makedon, Andrew J. Saykin:
Efficient Registration of 3D SPHARM Surfaces. CRV 2007: 81-88 - [c13]Heng Huang, Li Shen:
Surface Harmonics for Shape Modeling. ICIP (2) 2007: 553-556 - [c12]Heng Huang, Fillia Makedon, Dan O. Popa, Harry E. Stephanou, James Ford, Yurong Xu:
A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks. WIAMIS 2007: 79 - 2006
- [c11]Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman:
Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. 3DPVT 2006: 381-388 - [c10]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman:
A Spatio-Temporal Modeling Method for Shape Representation. 3DPVT 2006: 1034-1040 - [c9]Li Shen, Heng Huang, James Ford, Chia-Hsin Lu, Ling Gao, Wei Zheng, Fillia Makedon, Justin D. Pearlman:
Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. Image-Guided Procedures 2006: 61412I - [c8]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling. Image Processing 2006: 614434 - 2005
- [c7]Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon, Li Shen, Bruce Hettleman, Justin D. Pearlman:
K-means+ Method for Improving Gene Selection for Classification of Microarray Data. CSB Workshops 2005: 110-111 - [c6]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. MICCAI 2005: 67-74 - [c5]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. MICCAI 2005: 704-711 - [c4]Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin D. Pearlman:
An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. Image-Guided Procedures 2005 - [c3]Heng Huang, Li Shen, James Ford, Fillia Makedon, Rong Zhang, Ling Gao, Justin D. Pearlman:
Functional analysis of cardiac MR images using SPHARM modeling. Image Processing 2005 - [c2]Fei Xiong, Heng Huang, James C. Ford, Fillia Makedon, Justin D. Pearlman:
A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis. Panhellenic Conference on Informatics 2005: 437-447 - [c1]Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman:
A clustering-based approach for prediction of cardiac resynchronization therapy. SAC 2005: 260-266
Coauthor Index
[j108] [i109] [i108] [c328] [c327] [c323] [i96] [i92] [i89] [j92] [j87] [c305] [i84] [j83] [j80] [j79] [i78] [i77] [i76] [j70] [j68] [c266] [c264] [c256] [i55] [i52] [i51] [i50] [j58] [c247] [c244] [c241] [c230] [c229] [c228] [i43] [i42] [i39] [i30] [c221] [c205] [c198] [c196] [i19] [j41] [c186] [c172] [c171] [i14] [j39] [j38] [j37] [j33] [c162] [c161] [c160] [c152] [c150] [j31] [c143] [c135] [c129] [j25] [j22] [c124] [c123] [c122] [c120] [c116] [c115] [j18] [j16] [c104] [c103] [j14] [c94] [c93] [c92] [c80] [c79] [c76] [c67]
[j109] [j100] [j95] [c315] [j89] [c301] [j82] [j81] [j77] [j76] [c290] [c274] [i75] [j74] [j73] [j67] [j66] [j65] [c268] [c265] [c263] [c262] [c261] [c257] [i62] [i61] [i48] [i47] [j63] [j56] [c246] [c242] [i35] [c223] [c222] [c219] [c218] [c213] [c185] [c184] [c183] [c180] [c173] [c169] [c160] [c159] [c157] [c156] [c151] [c149] [c147] [c145]
Chris Ding
aka: Chris H. Q. Ding
aka: Chris H. Q. Ding
[j69] [c254] [j49] [j34] [c139] [i8] [i7] [j28] [j27] [c128] [c99] [j13] [j12] [j11] [j9] [c96] [c95] [c88] [c87] [c86] [c84] [c82] [j7] [c78] [c75] [c73] [c72] [c71] [c70] [c64] [c63] [c62] [c61] [c60] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c41] [c40] [c38] [c37] [c36] [j4] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c26] [c25] [c24] [c23] [c22] [i1] [c20] [c19] [c17]
[j109] [j106] [j105] [j103] [j102] [j97] [j95] [j94] [c329] [i91] [j90] [c308] [j82] [j81] [j76] [c294] [c293] [c292] [c291] [i75] [i71] [i69] [j74] [j73] [j66] [j65] [c270] [c268] [c265] [c259] [c257] [i63] [i62] [i60] [i49] [i48] [i46] [j63] [c249] [c248] [c238] [c232] [p1] [i45] [i44] [i40] [i36] [i35] [i33] [c225] [c224] [c217] [c214] [c212] [c210] [c202] [i29] [i24] [i23] [i18] [i17] [c192] [c191] [c190] [c187] [c183] [c182] [c174] [c168] [i16] [i15] [c153] [i11] [i9] [i6] [i5] [i4]
[j93] [j88] [j69] [j49] [i26] [i25] [j36] [c165] [c164] [c163] [c159] [c158] [c157] [c149] [j29] [c145] [c144] [c140] [c139] [c138] [c137] [c134] [c133] [i10] [i8] [i7] [j27] [j24] [j23] [c128] [c127] [c126] [c124] [c121] [c119] [c118] [c117] [c114] [i3] [j20] [c113] [c112] [c111] [c110] [c109] [c108] [c106] [c105] [c103] [c101] [c100] [i2] [j12] [j10] [j9] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c85] [c84] [c83] [c82] [c79] [j8] [j6] [j5] [c78] [c77] [c74] [c71] [c70] [c66] [c65] [c64] [c62] [c59] [c55] [c54] [c53] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c37] [c36] [j4] [c29] [c26]
[c338] [c332] [j104] [c302] [i85] [j71] [c267] [j57] [c227] [c197] [e2] [j47] [j46] [c170] [c167] [c155] [c148] [j32] [j30] [c141] [c125] [c114] [j21] [c107] [c103] [c102] [c83] [c81] [c79] [e1] [j8] [j6] [j5] [c68] [c65] [c53] [c43] [j2] [j1] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c1]
[j93] [j71] [j57] [c227] [c197] [i26] [c170] [j34] [c164] [c147] [c145] [j28] [j27] [j24] [c126] [j19] [j15] [c112] [c111] [c108] [c99] [j13] [j12] [c95] [c93] [c91] [c90] [c88] [c87] [c86] [j8] [j7] [j6] [j5] [c74] [c73] [c71] [c69] [c68] [c65] [c63] [c62] [c59] [c58] [c56] [c54] [c53] [c51] [c48] [c45] [c44] [c43] [c42] [c41] [c39] [c36] [c35] [c34] [c33] [c32] [c31] [c27] [c25] [c23]
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