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ORCIDHeng Huang
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- affiliation: University of Pittsburgh, PA, USA
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2020 – today
- 2022
[i83]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)- [i82]Xin Jin, Hao Lou, Heng Huang, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. CoRR abs/2201.02714 (2022) - 2021
- [j82]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) - [j81]Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang:
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. 110(8): 2005-2033 (2021) - [j80]Haoteng Tang
, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143: 669-677 (2021) - [j79]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang:
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. 68(11): 3336-3346 (2021) - [j78]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. IEEE Trans. Image Process. 30: 2045-2059 (2021) - [j77]Feiping Nie, Lai Tian, Heng Huang, Chris Ding:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30: 5277-5286 (2021) - [j76]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging 40(1): 154-165 (2021) - [j75]Xiang Jiang, Shikui Wei, Ting Liu, Ruizhen Zhao, Yao Zhao, Heng Huang:
Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization. IEEE Trans. Multim. 23: 2602-2613 (2021) - [j74]Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang:
Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2373-2387 (2021) - [j73]Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang:
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [j72]Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang:
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4111-4122 (2021) - [c305]Hongchang Gao, An Xu, Heng Huang:
On the Convergence of Communication-Efficient Local SGD for Federated Learning. AAAI 2021: 7510-7518 - [c304]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI 2021: 7883-7890 - [c303]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. AAAI 2021: 10405-10413 - [c302]An Xu, Zhouyuan Huo, Heng Huang:
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI 2021: 10478-10486 - [c301]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021: 10896-10904 - [c300]Shupei Ding, Mengmeng Li, Xiaoqin Wang, Ruijiao Wu, Heng Huang:
The use of Google Earth Engine and Geographical Detectors to monitor farmland changes in Fujian province. Agro-Geoinformatics 2021: 1-5 - [c299]Naixuan Wang, Jian Cao, Heng Huang, Yihua Ding, Qiang Ling:
A Strategy to Optimize the Timing of Prediction Information Release for Container Ships' Operation Process. BESC 2021: 1-5 - [c298]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 - [c297]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 - [c296]Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang:
Network Pruning via Performance Maximization. CVPR 2021: 9270-9280 - [c295]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Unsupervised Hyperbolic Metric Learning. CVPR 2021: 12465-12474 - [c294]Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang:
Nearest Neighbor Matching for Deep Clustering. CVPR 2021: 13693-13702 - [c293]Zhengmian Hu, Heng Huang:
On the Random Conjugate Kernel and Neural Tangent Kernel. ICML 2021: 4359-4368 - [c292]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 - [c291]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 - [c290]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 - [c289]Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu:
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) 2021: 634-643 - [c288]Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang:
SwitchFlow: preemptive multitasking for deep learning. Middleware 2021: 146-158 - [c287]Hao Lou, Heng Huang, Chaoen Xiao, Xin Jin:
Aesthetic Evaluation and Guidance for Mobile Photography. ACM Multimedia 2021: 2780-2782 - [c286]Hongchang Gao, Heng Huang:
Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. SDM 2021: 405-413 - [i81]An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. CoRR abs/2102.03970 (2021) - [i80]Zhengmian Hu, Feihu Huang, Heng Huang:
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. CoRR abs/2102.04613 (2021) - [i79]Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang:
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. CoRR abs/2102.09026 (2021) - [i78]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR abs/2103.00958 (2021) - [i77]Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang:
Data Augmentation for Object Detection via Differentiable Neural Rendering. CoRR abs/2103.02852 (2021) - [i76]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Doubly Contrastive Deep Clustering. CoRR abs/2103.05484 (2021) - [i75]Zhou Zhai, Bin Gu, Heng Huang:
Learning Sampling Policy for Faster Derivative Free Optimization. CoRR abs/2104.04405 (2021) - [i74]Feihu Huang, Junyi Li, Heng Huang:
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR abs/2106.08208 (2021) - [i73]Feihu Huang, Junyi Li, Heng Huang:
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR abs/2106.11264 (2021) - [i72]Feihu Huang, Heng Huang:
BiAdam: Fast Adaptive Bilevel Optimization Methods. CoRR abs/2106.11396 (2021) - [i71]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. CoRR abs/2106.12112 (2021) - [i70]Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR abs/2106.14033 (2021) - [i69]Feihu Huang, Heng Huang:
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. CoRR abs/2106.16101 (2021) - [i68]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - [i67]Feihu Huang, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. CoRR abs/2107.12301 (2021) - [i66]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i65]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - [i64]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR abs/2109.05788 (2021) - [i63]Xiyuan Wei, Bin Gu, Heng Huang:
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization. CoRR abs/2109.08858 (2021) - [i62]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i61]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR abs/2111.00006 (2021) - [i60]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR abs/2112.04660 (2021) - 2020
- [j71]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j70]Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang:
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21: 190:1-190:53 (2020) - [j69]Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen:
Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. 2(2): 141-150 (2020) - [j68]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j67]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [j66]Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu:
Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 536-546 (2020) - [j65]Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai:
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging 39(2): 447-457 (2020) - [j64]Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang:
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging 39(6): 1845-1855 (2020) - [j63]Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng:
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4610-4621 (2020) - [j62]Yangli-ao Geng, Qingyong Li, Mingfei Liang, Chong-Yung Chi, Juan Tan, Heng Huang:
Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. 31(8): 1799-1814 (2020) - [c285]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI 2020: 5734-5741 - [c284]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. AAAI 2020: 6981-6988 - [c283]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - [c282]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c281]Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR 2020: 1896-1905 - [c280]An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR 2020: 2085-2094 - [c279]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR 2020: 4242-4251 - [c278]Guanghan Ning, Jian Pei, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CVPR Workshops 2020: 4456-4465 - [c277]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR 2020: 6657-6666 - [c276]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Tom Weidong Cai:
Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. DICTA 2020: 1-7 - [c275]Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu:
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. ECAI 2020: 2022-2029 - [c274]Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao:
Binarized Neural Network for Single Image Super Resolution. ECCV (4) 2020: 91-107 - [c273]Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang:
A Heterogeneous Spatiotemporal Network for Lightning Prediction. ICDM 2020: 1034-1039 - [c272]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML 2020: 653-663 - [c271]Hongchang Gao, Heng Huang:
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML 2020: 3377-3386 - [c270]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. ICML 2020: 4422-4433 - [c269]Guodong Liu, Hong Chen, Heng Huang:
Sparse Shrunk Additive Models. ICML 2020: 6194-6204 - [c268]Lei Luo, Yanfu Zhang, Heng Huang:
Adversarial Nonnegative Matrix Factorization. ICML 2020: 6479-6488 - [c267]Lei Luo, Jian Pei, Heng Huang:
Sinkhorn Regression. IJCAI 2020: 2598-2604 - [c266]Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan:
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI 2020: 288-291 - [c265]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD 2020: 2483-2493 - [c264]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD 2020: 2706-2714 - [c263]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) 2020: 74-84 - [c262]Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang:
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) 2020: 480-490 - [c261]Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang:
Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) 2020: 635-645 - [c260]Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen:
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB 2020: 7-18 - [c259]Kamran Ghasedi Dizaji, Wei Chen, Heng Huang:
Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. RECOMB 2020: 19-36 - [c258]Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu:
Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. SIGIR 2020: 119-128 - [p1]Zhiyuan Dang, Bin Gu, Heng Huang:
Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning 2020: 66-80 - [i59]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Training Does Not Need Warmup. CoRR abs/2002.01576 (2020) - [i58]Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR abs/2002.02090 (2020) - [i57]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. CoRR abs/2002.06345 (2020) - [i56]An Xu, Zhouyuan Huo, Heng Huang:
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR abs/2002.11082 (2020) - [i55]An Xu, Zhouyuan Huo, Heng Huang:
Exploit Where Optimizer Explores via Residuals. CoRR abs/2004.05298 (2020) - [i54]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR abs/2005.02066 (2020) - [i53]Junyi Li, Heng Huang:
Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR abs/2006.10091 (2020) - [i52]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR abs/2006.16433 (2020) - [i51]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR abs/2007.00243 (2020) - [i50]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. CoRR abs/2007.06680 (2020) - [i49]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR abs/2008.01296 (2020) - [i48]An Xu, Zhouyuan Huo, Heng Huang:
Training Faster with Compressed Gradient. CoRR abs/2008.05823 (2020) - [i47]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR abs/2008.06197 (2020) - [i46]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - [i45]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR abs/2008.08170 (2020) - [i44]Hongchang Gao, Heng Huang:
Adaptive Serverless Learning. CoRR abs/2008.10422 (2020) - [i43]Hongchang Gao, Heng Huang:
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training. CoRR abs/2008.10435 (2020) - [i42]Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR abs/2009.00690 (2020) - [i41]Feihu Huang, Shangqian Gao, Heng Huang:
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. CoRR abs/2010.06097 (2020) - [i40]Xin Jin, Xiqiao Li, Heng Huang, Xiaodong Li, Xinghui Zhou:
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction. CoRR abs/2010.07661 (2020) - [i39]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR abs/2012.05980 (2020) - [i38]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR abs/2012.15318 (2020)
2010 – 2019
- 2019
- [j61]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j60]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j59]Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang:
Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. 91: 147-161 (2019) - [j58]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [j57]Wenhao Jiang, Hongchang Gao, Wei Lu, Wei Liu, Fu-Lai Chung, Heng Huang:
Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(3): 561-574 (2019) - [j56]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c257]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c256]Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI 2019: 3697-3704 - [c255]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c254]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - [c253]Heng Huang, Milin Zhang, Guolin Li, Zhihua Wang:
A 2Mbps sub-100µW Crystal-less RF Transmitter with Energy Harvesting for Multi-Channel Neural Signal Acquisition. A-SSCC 2019: 157-160 - [c252]Heng Huang:
Large-Scale Machine Learning Algorithms for Biomedical Data Science. BCB 2019: 4 - [c251]