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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
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2020 – today
- 2025
[j48]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)- [j47]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) - [j46]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) - [j45]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) - [c90]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 - [c89]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 - 2024
- [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]Zhou Zhai, Heng Huang, Bin Gu:
Kernel Path for Semisupervised Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1512-1522 (2024) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [c88]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. ECCV (14) 2024: 107-123 - [c87]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 - 2023
- [j35]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j34]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) - [j33]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) - [c86]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c85]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 - [c84]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 - 2022
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j26]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) - [c83]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) 2022: 278-296 - [c82]Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang:
Disentangled Differentiable Network Pruning. ECCV (11) 2022: 328-345 - [c81]Yanfu Zhang, Shangqian Gao, Heng Huang:
Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) 2022: 481-498 - 2021
- [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - 2020
- [j20]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) - [j19]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) - [p1]Zhiyuan Dang, Bin Gu, Heng Huang:
Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning 2020: 66-80
2010 – 2019
- 2019
- [j18]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c80]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 - [i7]Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019) - [i6]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) - 2018
- [j17]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) - [j16]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) - 2017
- [j15]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j14]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) - [j13]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) - [c79]Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. AAAI 2017: 1905-1911 - [c78]Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI 2017: 2294-2300 - [c77]Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. AAAI 2017: 2415-2421 - [c76]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 - [c75]Feiping Nie, Zhouyuan Huo, Heng Huang:
Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI 2017: 2557-2563 - [c74]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 - [c73]Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang:
Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS 2017: 4129-4138 - 2016
- [j12]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) - [c72]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 - [c71]Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. AAAI 2016: 1969-1976 - [c70]De Wang, Feiping Nie, Heng Huang:
Learning Task Relational Structure for Multi-task Feature Learning. ICDM 2016: 1239-1244 - [c69]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [c68]Feiping Nie, Heng Huang:
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. IJCAI 2016: 1874-1880 - [c67]De Wang, Feiping Nie, Heng Huang:
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. IJCAI 2016: 2104-2110 - [c66]Xiaoqian Wang, Feiping Nie, Heng Huang:
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. KDD 2016: 1245-1254 - [c65]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 - [i5]Feiping Nie, Heng Huang:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. CoRR abs/1603.08293 (2016) - [i4]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) - [i3]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) - 2015
- [j11]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) - [j10]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) - [j9]De Wang, Feiping Nie, Heng Huang:
Feature Selection via Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 27(10): 2743-2755 (2015) - [c64]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 - [c63]Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang:
Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI 2015: 2750-2756 - [c62]Hua Wang, Feiping Nie, Heng Huang:
Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI 2015: 3059-3065 - [c61]Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM 2015: 871-880 - [c60]Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang:
Multi-view Subspace Clustering. ICCV 2015: 4238-4246 - [c59]Jin Huang, Feiping Nie, Heng Huang:
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. IJCAI 2015: 3569-3575 - [c58]Wenhao Jiang, Feiping Nie, Heng Huang:
Robust Dictionary Learning with Capped l1-Norm. IJCAI 2015: 3590-3596 - [c57]Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang:
Discriminative Unsupervised Dimensionality Reduction. IJCAI 2015: 3925-3931 - [c56]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 - [i2]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
- [j8]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) - [c55]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. AAAI 2014: 1171-1177 - [c54]Hua Wang, Feiping Nie, Heng Huang:
Globally and Locally Consistent Unsupervised Projection. AAAI 2014: 1328-1333 - [c53]Hua Wang, Feiping Nie, Heng Huang:
Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI 2014: 2846-2852 - [c52]Feiping Nie, Yizhen Huang, Heng Huang:
Linear Time Solver for Primal SVM. ICML 2014: 505-513 - [c51]Feiping Nie, Jianjun Yuan, Heng Huang:
Optimal Mean Robust Principal Component Analysis. ICML 2014: 1062-1070 - [c50]Hua Wang, Feiping Nie, Heng Huang:
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML 2014: 1836-1844 - [c49]De Wang, Feiping Nie, Heng Huang:
Large-scale adaptive semi-supervised learning via unified inductive and transductive model. KDD 2014: 482-491 - [c48]Feiping Nie, Xiaoqian Wang, Heng Huang:
Clustering and projected clustering with adaptive neighbors. KDD 2014: 977-986 - [c47]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 - [c46]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 - [c45]Feiping Nie, Xiao Cai, Heng Huang:
Flexible Shift-Invariant Locality and Globality Preserving Projections. ECML/PKDD (2) 2014: 485-500 - [i1]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Sparse PCA for Feature Analysis. CoRR abs/1411.6233 (2014) - 2013
- [j7]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) - [j6]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) - [j5]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) - [c44]Jin Huang, Feiping Nie, Heng Huang:
Robust Discrete Matrix Completion. AAAI 2013: 424-430 - [c43]Jin Huang, Feiping Nie, Heng Huang:
Spectral Rotation versus K-Means in Spectral Clustering. AAAI 2013: 431-437 - [c42]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. AAAI 2013: 438-444 - [c41]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR 2013: 3097-3102 - [c40]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
New Graph Structured Sparsity Model for Multi-label Image Annotations. ICCV 2013: 801-808 - [c39]Hua Wang, Feiping Nie, Weidong Cai, Heng Huang:
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV 2013: 1145-1152 - [c38]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. ICCV 2013: 1737-1744 - [c37]Hua Wang, Feiping Nie, Heng Huang:
Robust and Discriminative Self-Taught Learning. ICML (3) 2013: 298-306 - [c36]Hua Wang, Feiping Nie, Heng Huang:
Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) 2013: 352-360 - [c35]Xiao Cai, Feiping Nie, Heng Huang:
Exact Top-k Feature Selection via l2, 0-Norm Constraint. IJCAI 2013: 1240-1246 - [c34]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI 2013: 1565-1571 - [c33]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI 2013: 1572-1578 - [c32]Xiao Cai, Feiping Nie, Heng Huang:
Multi-View K-Means Clustering on Big Data. IJCAI 2013: 2598-2604 - [c31]Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding:
Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI 2013: 2647-2653 - [c30]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 - [c29]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 - [c28]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 - 2012
- [j4]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) - [j3]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) - [j2]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) - [c27]Feiping Nie, Heng Huang, Chris H. Q. Ding:
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012: 655-661 - [c26]Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu:
Trust prediction via aggregating heterogeneous social networks. CIKM 2012: 1774-1778 - [c25]Hua Wang, Feiping Nie, Heng Huang:
Robust and discriminative distance for Multi-Instance Learning. CVPR 2012: 2919-2924 - [c24]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 - [c23]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c22]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 - [c21]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 - [c20]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 - [c19]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
- [c18]Hua Wang, Feiping Nie, Heng Huang:
Learning Instance Specific Distance for Multi-Instance Classification. AAAI 2011: 507-512 - [c17]Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar:
Heterogeneous image feature integration via multi-modal spectral clustering. CVPR 2011: 1977-1984 - [c16]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 - [c15]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 - [c14]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 - [c13]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c12]Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 - [c11]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 - [c10]Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang:
Cauchy Graph Embedding. ICML 2011: 553-560 - [c9]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 - [c8]Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon:
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI 2011: 1553-1558 - [c7]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 - [c6]Hua Wang, Feiping Nie, Heng Huang, Yi Yang:
Learning frame relevance for video classification. ACM Multimedia 2011: 1345-1348 - [c5]Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding:
Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 - [c4]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c3]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
- [j1]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Mach. Learn. 81(1): 37-51 (2010) - [c2]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 - [c1]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466
Coauthor Index
Chris Ding
aka: Chris H. Q. Ding
aka: Chris H. Q. Ding
[j36] [j34] [j24] [j18] [i7] [i6] [j15] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [j12] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [i5] [i4] [i3] [j11] [j10] [j9] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [i2] [j8] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [i1] [j7] [j6] [j5] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j4] [j3] [j2] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
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