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ORCIDHeng Huang
Person information
- affiliation: University of Maryland at College Park, MD, USA
- affiliation (former): University of Pittsburgh, PA, USA
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2020 – today
- 2023
[j105]Haozhe Jia
, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023)- [j104]Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83: 102674 (2023) - [j103]Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang:
A new large-scale learning algorithm for generalized additive models. Mach. Learn. 112(9): 3077-3104 (2023) - [j102]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j101]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang:
Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. 35(7): 7045-7055 (2023) - [j100]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai:
Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. IEEE Trans. Multim. 25: 1333-1344 (2023) - [c367]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. AAAI 2023: 7604-7612 - [c366]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI 2023: 10370-10378 - [c365]Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. AAAI 2023: 10379-10387 - [c364]Yihan Wu, Aleksandar Bojchevski, Heng Huang:
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. AAAI 2023: 10417-10425 - [c363]Zhou Zhai, Lei Luo, Heng Huang, Bin Gu:
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. AAAI 2023: 11918-11925 - [c362]Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang:
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CVPR 2023: 20564-20574 - [c361]Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin:
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR 2023 - [c360]Zhengmian Hu, Heng Huang:
Tighter Analysis for ProxSkip. ICML 2023: 13469-13496 - [c359]Zhengmian Hu, Xidong Wu, Heng Huang:
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML 2023: 13652-13678 - [c358]Yihan Wu, Heng Huang, Hongyang Zhang:
A Law of Robustness beyond Isoperimetry. ICML 2023: 37439-37455 - [c357]Heng Huang, Deng Luo, Wei Song, Milin Zhang, Zhihua Wang, Guolin Li:
A Compact 16-Channel Neural Signal Recorder with Wireless Power and Data Transmission. ISCAS 2023: 1-5 - [c356]Jiaxin Lei, Xiliang Liu, Wei Song, Heng Huang, Xiaoyan Ma, Junliang Wei, Milin Zhang:
A 1.8Gb/s, 2.3pJ/bit, Crystal-Less IR-UWB Transmitter for Neural Implants. ISSCC 2023: 464-465 - [c355]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c354]Xin Jin, Qianqian Qiao, Qiang Deng, Chaoen Xiao, Heng Huang, Hao Lou:
Language Guidance Generation Using Aesthetic Attribute Comparison for Human Photography and AIGC. MCGE@MM 2023: 127-135 - [c353]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 - [c352]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 - [c351]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 - [i133]Chuan He, Heng Huang, Zhaosong Lu:
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR abs/2301.04204 (2023) - [i132]Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR abs/2302.03825 (2023) - [i131]Junyi Li, Feihu Huang, Heng Huang:
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR abs/2302.06103 (2023) - [i130]Junyi Li, Feihu Huang, Heng Huang:
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR abs/2302.06701 (2023) - [i129]Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou:
When do you need Chain-of-Thought Prompting for ChatGPT? CoRR abs/2304.03262 (2023) - [i128]Xiangyu Xu, Lichang Chen, Changjiang Cai, Huangying Zhan, Qingan Yan, Pan Ji, Junsong Yuan, Heng Huang, Yi Xu:
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction. CoRR abs/2304.06178 (2023) - [i127]Lichang Chen, Heng Huang, Minhao Cheng:
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR abs/2305.02423 (2023) - [i126]Lichang Chen, Minhao Cheng, Heng Huang:
Backdoor Learning on Sequence to Sequence Models. CoRR abs/2305.02424 (2023) - [i125]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i124]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i123]Reza Shirkavand, Fei Zhang, Heng Huang:
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. CoRR abs/2306.00698 (2023) - [i122]Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou:
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR abs/2306.03082 (2023) - [i121]Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang:
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CoRR abs/2306.15482 (2023) - [i120]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR abs/2307.08701 (2023) - [i119]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR abs/2307.09218 (2023) - [i118]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) - [i117]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR abs/2308.03035 (2023) - [i116]Reza Shirkavand, Heng Huang:
Deep Prompt Tuning for Graph Transformers. CoRR abs/2309.10131 (2023) - [i115]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) - [i114]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i113]Yihan Wu, Brandon Y. Feng, Heng Huang:
Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation. CoRR abs/2310.03125 (2023) - [i112]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) - [i111]Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang:
DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. CoRR abs/2310.07710 (2023) - [i110]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. CoRR abs/2310.10669 (2023) - [i109]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou:
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR abs/2310.11716 (2023) - [i108]Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li:
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR abs/2310.14942 (2023) - [i107]Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang:
GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. CoRR abs/2310.18498 (2023) - [i106]Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023) - 2022
- [j99]Heng Huang, Xin Jin, Xinning Li, Shuai Cui, Chaoen Xiao:
Aesthetic evaluation of Asian and Caucasian photos with overall and attribute scores. Comput. Electr. Eng. 103: 108341 (2022) - [j98]Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan:
3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data 5 (2022) - [j97]Alireza Ganjdanesh, Jipeng Zhang, Sarah Yan, Wei Chen, Heng Huang:
Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. J. Comput. Biol. 29(12): 1324-1345 (2022) - [j96]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. 23: 36:1-36:70 (2022) - [j95]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. 78: 102420 (2022) - [j94]Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1385-1398 (2022) - [j93]Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang:
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3767-3778 (2022) - [j92]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [j91]Heng Huang, Donghua Zhu, Xuefeng Wang:
Evaluating scientific impact of publications: combining citation polarity and purpose. Scientometrics 127(9): 5257-5281 (2022) - [j90]Heng Huang, Shizhong He, Xiaopeng Xie, Wei Feng, Huanyi Zhen:
Research on the Influence of Coil LC Parallel Resonance on Detection Effect of Inductive Wear Debris Sensor. Sensors 22(19): 7493 (2022) - [j89]Heng Huang, Xiliang Liu, Zijian Tang, Wei Song, Yuwei Zhang, Xiaoyan Ma, Milin Zhang, Jintao Wang, Zhihua Wang, Guolin Li:
A 2 nJ/bit, 2.3% FSK Error Fully Integrated Sub-2.4 GHz Transmitter With Duty-Cycle Controlled PA for Medical Band. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 5018-5029 (2022) - [j88]Xin Jin, Hao Lou, Heng Huang, Xinning Li, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. IEEE Trans. Intell. Transp. Syst. 23(12): 25226-25235 (2022) - [j87]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41(8): 2180-2190 (2022) - [j86]Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao:
Wavelet-Based Dual Recursive Network for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 33(2): 707-720 (2022) - [j85]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j84]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [c350]Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. AAAI 2022: 1350-1358 - [c349]Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. AAAI 2022: 6765-6773 - [c348]Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI 2022: 7426-7434 - [c347]An Xu, Heng Huang:
Coordinating Momenta for Cross-Silo Federated Learning. AAAI 2022: 8735-8743 - [c346]Jiang Long, Mengmeng Li, Mingxing Cha, Xiaoqin Wang, Heng Huang:
Delineation of agricultural fields using Psi-Net from high-resolution remote sensing images. Agro-Geoinformatics 2022: 1-5 - [c345]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM 2022: 57-66 - [c344]Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Towards Fairer Classifier via True Fairness Score Path. CIKM 2022: 3113-3121 - [c343]Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang:
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR 2022: 31-40 - [c342]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c341]Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) 2022: 278-296 - [c340]Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang:
Disentangled Differentiable Network Pruning. ECCV (11) 2022: 328-345 - [c339]Yanfu Zhang, Shangqian Gao, Heng Huang:
Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) 2022: 481-498 - [c338]Xidong Wu, Feihu Huang, Heng Huang:
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM 2022: 578-587 - [c337]Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. ICDM 2022: 1245-1250 - [c336]Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang:
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM 2022: 1317-1322 - [c335]Feihu Huang, Shangqian Gao, Heng Huang:
Bregman Gradient Policy Optimization. ICLR 2022 - [c334]Xin Jin, Xinning Li, Heng Huang, Xiaodong Li, Chaoen Xiao, Xiqiao Li:
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction. ICME Workshops 2022: 1-6 - [c333]Hongchang Gao, Junyi Li, Heng Huang:
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML 2022: 7017-7035 - [c332]Yihan Wu, Hongyang Zhang, Heng Huang:
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. ICML 2022: 24266-24279 - [c331]An Xu, Heng Huang:
Detached Error Feedback for Distributed SGD with Random Sparsification. ICML 2022: 24550-24575 - [c330]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI 2022: 1916-1922 - [c329]Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan:
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI 2022: 1-5 - [c328]Wei Song, Heng Huang, Yusong Wu, Xiliang Liu, Chao Sun, Zijian Tang, Xiaoyan Ma, Tianhe Jiang, Xiong Zhong, Milin Zhang:
A 16-Channel Neural Recorder with 2.8 nJ/bit, 971.4 kbps sub-2.4 GHz polar transmitter. ISCAS 2022: 2710-2714 - [c327]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c326]Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang:
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD 2022: 2515-2523 - [c325]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c324]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c323]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) 2022: 356-365 - [c322]Xin Jin, Ke Liu, Dongqing Zou, Zhonglan Li, Heng Huang, Vajira Thambawita:
Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies. ACM Multimedia 2022: 7364-7367 - [c321]Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS 2022 - [c320]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [c319]Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang:
Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. RECOMB 2022: 209-229 - [c318]Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao:
Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones. SenSys 2022: 1182-1188 - [c317]Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW 2022: 1352-1361 - [i105]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai:
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. CoRR abs/2201.01929 (2022) - [i104]Xin Jin, Hao Lou, Heng Huang, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. CoRR abs/2201.02714 (2022) - [i103]Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR abs/2202.05268 (2022) - [i102]Hongyang Zhang, Yihan Wu, Heng Huang:
How Many Data Are Needed for Robust Learning? CoRR abs/2202.11592 (2022) - [i101]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai:
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR abs/2203.05709 (2022) - [i100]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - [i99]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR abs/2203.10329 (2022) - [i98]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR abs/2204.10981 (2022) - [i97]Junyi Li, Feihu Huang, Heng Huang:
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR abs/2205.01608 (2022) - [i96]Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR abs/2205.07854 (2022) - [i95]