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- affiliation: University of Texas at Arlington, Arlington, TX, USA
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2020 – today
- 2024
[j72]Feng Jiang, Yuzhi Guo, Hehuan Ma
, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang:
GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Briefings Bioinform. 25(4) (2024)- [j71]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. 31(3): 213-228 (2024) - [j70]Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong:
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024) - [j69]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1650-1663 (2024) - [c227]Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang:
MIVC: Multiple Instance Visual Component for Visual-Language Models. WACV 2024: 8102-8111 - [i122]Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang:
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation. CoRR abs/2401.13220 (2024) - [i121]Qichuan Yin, Junzhou Huang, Huaxiu Yao, Linjun Zhang:
Distribution-Free Fair Federated Learning with Small Samples. CoRR abs/2402.16158 (2024) - [i120]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR abs/2403.08967 (2024) - [i119]Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas:
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR abs/2405.21050 (2024) - [i118]Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang:
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. CoRR abs/2406.02987 (2024) - [i117]Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao:
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR abs/2406.06007 (2024) - 2023
- [j68]Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang:
NuSegDA: Domain adaptation for nuclei segmentation. Frontiers Big Data 6 (2023) - [j67]Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang:
Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss. J. Comput. Biol. 30(1): 82-94 (2023) - [j66]Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. 83: 102645 (2023) - [j65]Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. 84: 102703 (2023) - [j64]Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han:
Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. 84: 102705 (2023) - [j63]Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang:
Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 722-737 (2023) - [j62]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - [j61]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35(5): 4499-4513 (2023) - [j60]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang:
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. 2023 (2023) - [c226]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 2023: 8023-8031 - [c225]Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan:
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. CIKM 2023: 4545-4551 - [c224]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops 2023: 2248-2258 - [c223]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE 2023: 3771-3772 - [c222]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c221]Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao:
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) 2023: 560-569 - [c220]Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang:
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) 2023: 674-684 - [c219]Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao:
An Unsupervised Multispectral Image Registration Network for Skin Diseases. MICCAI (10) 2023: 720-729 - [c218]Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan:
Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS 2023 - [c217]Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang:
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. WACV 2023: 520-530 - [c216]Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu:
Curriculum Graph Poisoning. WWW 2023: 2011-2021 - [i116]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR abs/2305.03513 (2023) - [i115]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR abs/2306.12091 (2023) - [i114]Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang:
MIVC: Multiple Instance Visual Component for Visual-Language Models. CoRR abs/2312.17109 (2023) - 2022
- [j59]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Cross-dependent graph neural networks for molecular property prediction. Bioinform. 38(7): 2003-2009 (2022) - [j58]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. 38(8): 2178-2186 (2022) - [j57]Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han:
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. 20(5): 989-1001 (2022) - [j56]Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li:
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14(1): 44 (2022) - [j55]Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. 81: 102559 (2022) - [j54]Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, Jianhua Yao:
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data. Nat. Mac. Intell. 4(10): 852-866 (2022) - [j53]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j52]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4035-4051 (2022) - [j51]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6209-6223 (2022) - [j50]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6501-6516 (2022) - [j49]Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He:
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [j48]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [j47]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [j46]Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han:
Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging 41(12): 3939-3951 (2022) - [j45]Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo:
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5361-5373 (2022) - [c215]Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. AAAI 2022: 2135-2143 - [c214]Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI 2022: 4014-4021 - [c213]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang:
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI 2022: 6801-6809 - [c212]Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang:
MoDNA: motif-oriented pre-training for DNA language model. BCB 2022: 5:1-5:5 - [c211]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Robust self-training strategy for various molecular biology prediction tasks. BCB 2022: 34:1-34:5 - [c210]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CVPR 2022: 15650-15659 - [c209]Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han:
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR 2022: 18791-18801 - [c208]Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao:
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR 2022: 20675-20685 - [c207]Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao:
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. ECCV (21) 2022: 523-539 - [c206]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE 2022: 1539-1540 - [c205]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. ICLR 2022 - [c204]Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang:
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR 2022 - [c203]Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei:
Frustratingly Easy Transferability Estimation. ICML 2022: 9201-9225 - [c202]Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. ICML 2022: 14054-14072 - [c201]Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR 2022: 4256-4262 - [c200]Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang:
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD 2022: 4838-4839 - [c199]Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao:
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. MICCAI (2) 2022: 66-76 - [c198]Mohammad MinHazul Haq, Junzhou Huang:
Self-supervised Pre-training for Nuclei Segmentation. MICCAI (2) 2022: 303-313 - [c197]Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS 2022 - [c196]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao:
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR 2022: 353-362 - [c195]Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou:
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW 2022: 1148-1158 - [i113]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR abs/2201.09637 (2022) - [i112]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou:
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR abs/2201.13311 (2022) - [i111]Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang:
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR abs/2202.07114 (2022) - [i110]Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong:
Transformer for Graphs: An Overview from Architecture Perspective. CoRR abs/2202.08455 (2022) - [i109]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CoRR abs/2202.10401 (2022) - [i108]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. CoRR abs/2203.06442 (2022) - [i107]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan:
Boost Test-Time Performance with Closed-Loop Inference. CoRR abs/2203.10853 (2022) - [i106]Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian:
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR abs/2203.16939 (2022) - [i105]Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han:
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR abs/2204.03257 (2022) - [i104]Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang:
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. CoRR abs/2204.07742 (2022) - [i103]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i102]Jiangpeng Yan, ChengHui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang, Xiu Li, Jianhua Yao:
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction. CoRR abs/2206.07364 (2022) - [i101]Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang:
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR abs/2206.11959 (2022) - [i100]Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao:
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. CoRR abs/2207.06733 (2022) - [i99]Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao:
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR abs/2209.13178 (2022) - [i98]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR abs/2210.07634 (2022) - [i97]Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR abs/2211.16632 (2022) - 2021
- [j44]Qifeng Bai, Shuoyan Tan, Tingyang Xu, Huanxiang Liu, Junzhou Huang, Xiaojun Yao:
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. 22(3) (2021) - [j43]Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li:
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. Int. J. Comput. Vis. 129(5): 1506-1525 (2021) - [j42]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao:
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [j41]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning. J. Comput. Biol. 28(4): 346-361 (2021) - [j40]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. 28(4): 362-364 (2021) - [j39]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144: 553-564 (2021) - [j38]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c194]Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan:
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI 2021: 47-54 - [c193]Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui:
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI 2021: 617-625 - [c192]Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI 2021: 697-705 - [c191]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. AAAI 2021: 10603-10611 - [c190]Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang:
Gradient-Norm Based Attentive Loss for Molecular Property Prediction. BIBM 2021: 497-502 - [c189]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM 2021: 556-561 - [c188]Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM 2021: 1008-1017 - [c187]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM 2021: 2905-2909 - [c186]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) 2021: 778-794 - [c185]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [c184]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. ICLR 2021 - [c183]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. ICML 2021: 2880-2891 - [c182]Ying Wei, Peilin Zhao, Junzhou Huang:
Meta-learning Hyperparameter Performance Prediction with Neural Processes. ICML 2021: 11058-11067 - [c181]Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li:
Improving Generalization in Meta-learning via Task Augmentation. ICML 2021: 11887-11897 - [c180]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. IJCAI 2021: 2278-2284 - [c179]Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. ISBI 2021: 358-361 - [c178]Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao:
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. MICCAI (8) 2021: 153-163 - [c177]Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han:
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) 2021: 186-195 - [c176]Hanbo Chen, Kang Wang, Yuyao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, Junzhou Huang, Shuqun Cheng, Jianhua Yao:
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks. MICCAI (8) 2021: 196-205 - [c175]Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao:
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) 2021: 206-216 - [c174]Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) 2021: 529-539 - [c173]Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li:
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS 2021: 8256-8268 - [c172]Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu:
Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS 2021: 25058-25071 - [c171]Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. WACV 2021: 514-524 - [c170]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. WISE (1) 2021: 423-437 - [i96]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. CoRR abs/2101.09094 (2021) - [i95]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. CoRR abs/2102.01886 (2021) - [i94]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR abs/2102.10301 (2021) - [i93]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - [i92]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang:
Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR abs/2103.09754 (2021) - [i91]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR abs/2103.11155 (2021) - [i90]Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR abs/2104.02847 (2021) - [i89]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR abs/2104.03583 (2021) - [i88]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i87]Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang:
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR abs/2105.04350 (2021) - [i86]Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang:
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR abs/2105.04771 (2021) - [i85]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.10843 (2021) - [i84]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR abs/2105.12419 (2021) - [i83]Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo:
Learning Graphon Autoencoders for Generative Graph Modeling. CoRR abs/2105.14244 (2021) - [i82]Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang:
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR abs/2106.02938 (2021) - [i81]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang:
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR abs/2106.07451 (2021) - [i80]Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang:
Frustratingly Easy Transferability Estimation. CoRR abs/2106.09362 (2021) - [i79]Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang:
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. CoRR abs/2108.05988 (2021) - [i78]Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. CoRR abs/2109.03856 (2021) - [i77]Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR abs/2111.11652 (2021) - [i76]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - [i75]Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao:
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR abs/2112.08439 (2021) - [i74]Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang:
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. CoRR abs/2112.11225 (2021) - 2020
- [j37]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao:
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399: 296-306 (2020) - [j36]Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang:
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Anal. 65: 101789 (2020) - [j35]Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang:
50 FPS Object-Level Saliency Detection via Maximally Stable Region. IEEE Trans. Image Process. 29: 1384-1396 (2020) - [j34]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j33]Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang:
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. 32(6): 1036-1049 (2020) - [c169]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI 2020: 549-556 - [c168]Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu:
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. AAAI 2020: 1145-1152 - [c167]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI 2020: 3389-3396 - [c166]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-Shot Learning via Knowledge Transfer. AAAI 2020: 6656-6663 - [c165]Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang:
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. AAAI 2020: 8838-8845 - [c164]Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB 2020: 54:1-54:7 - [c163]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM 2020: 17-22 - [c162]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang:
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM 2020: 72-75 - [c161]Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang:
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. BIBM 2020: 2779-2784 - [c160]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. ECCV (23) 2020: 448-465 - [c159]Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. ECCV (27) 2020: 480-498 - [c158]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c157]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR 2020 - [c156]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML 2020: 3822-3831 - [c155]Han Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao, Junzhou Huang:
Supervised Augmentation: Leverage Strong Annotation for Limited Data. ISBI 2020: 1134-1138 - [c154]Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang:
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD 2020: 368-378 - [c153]Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma:
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - [c152]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) 2020: 457-467 - [c151]Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang:
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. MICCAI (5) 2020: 529-539 - [c150]Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang, Jianhua Yao:
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection. MICCAI (3) 2020: 722-731 - [c149]Mohammad MinHazul Haq, Junzhou Huang:
Adversarial Domain Adaptation for Cell Segmentation. MIDL 2020: 277-287 - [c148]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [c147]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS 2020 - [c146]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020 - [c145]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. NeurIPS 2020 - [c144]Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang:
Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS 2020 - [c143]Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang:
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS 2020 - [c142]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB 2020: 88-103 - [c141]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. WWW 2020: 259-270 - [c140]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. WWW 2020: 917-927 - [i73]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-aware Network Pruning for Deep Model Compression. CoRR abs/2001.01050 (2020) - [i72]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR abs/2001.06362 (2020) - [i71]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. CoRR abs/2001.06631 (2020) - [i70]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. CoRR abs/2001.07933 (2020) - [i69]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR abs/2002.01169 (2020) - [i68]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i67]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i66]Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04010 (2020) - [i65]Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04614 (2020) - [i64]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network. CoRR abs/2003.07450 (2020) - [i63]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i62]Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li:
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. CoRR abs/2003.14226 (2020) - [i61]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i60]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. CoRR abs/2005.13201 (2020) - [i59]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Dual Message Passing Neural Network for Molecular Property Prediction. CoRR abs/2005.13607 (2020) - [i58]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR abs/2007.02835 (2020) - [i57]Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang:
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR abs/2007.05970 (2020) - [i56]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i55]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i54]Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li:
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR abs/2007.13040 (2020) - [i53]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020) - [i52]Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR abs/2008.09864 (2020) - [i51]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR abs/2009.02455 (2020) - [i50]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020) - [i49]Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang:
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. CoRR abs/2009.11169 (2020) - [i48]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i47]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. CoRR abs/2010.05563 (2020) - [i46]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. CoRR abs/2011.02255 (2020) - [i45]Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang:
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR abs/2011.02893 (2020) - [i44]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. CoRR abs/2011.05005 (2020) - [i43]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. CoRR abs/2012.08734 (2020)
2010 – 2019
- 2019
- [j32]Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang:
Weakly supervised mitosis detection in breast histopathology images using concentric loss. Medical Image Anal. 53: 165-178 (2019) - [j31]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [c139]Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI 2019: 3510-3517 - [c138]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI 2019: 5281-5288 - [c137]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - [c136]Yue Yu, Jiaxiang Wu, Junzhou Huang:
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. AISTATS 2019: 674-683 - [c135]Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian:
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS 2019: 2868-2876 - [c134]Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, Junzhou Huang:
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction. BCB 2019: 429-436 - [c133]Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR 2019: 627-636 - [c132]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c131]Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang:
RaFM: Rank-Aware Factorization Machines. ICML 2019: 1132-1140 - [c130]Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang:
Collaborative Channel Pruning for Deep Networks. ICML 2019: 5113-5122 - [c129]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. ICML 2019: 7045-7054 - [c128]Sheng Wang, Zheng Xu, Chaochao Yan, Junzhou Huang:
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos. IPMI 2019: 467-478 - [c127]He Zheng, Hanbo Chen, Junzhou Huang, Xuzhi Li, Xiao Han, Jianhua Yao:
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. ISBI 2019: 79-82 - [c126]Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang:
Integrating 3D Geometry of Organ for Improving Medical Image Segmentation. MICCAI (5) 2019: 318-326 - [c125]Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua Yao:
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. MICCAI (1) 2019: 351-359 - [c124]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c123]Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Huang:
Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning. MICCAI (5) 2019: 431-439 - [c122]Jiawen Yao, Xinliang Zhu, Junzhou Huang:
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI (1) 2019: 496-504 - [c121]Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong:
Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia 2019: 2505-2513 - [c120]Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan:
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. NeurIPS 2019: 239-249 - [c119]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [c118]Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. NeurIPS 2019: 6801-6812 - [c117]Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran:
DTWNet: a Dynamic Time Warping Network. NeurIPS 2019: 11636-11646 - [c116]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW 2019: 972-982 - [i42]Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. CoRR abs/1901.01703 (2019) - [i41]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR abs/1904.05003 (2019) - [i40]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. CoRR abs/1905.05301 (2019) - [i39]Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang:
RaFM: Rank-Aware Factorization Machines. CoRR abs/1905.07570 (2019) - [i38]Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng:
Semi-supervised Learning with Contrastive Predicative Coding. CoRR abs/1905.10514 (2019) - [i37]Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi:
Adversarial Representation Learning on Large-Scale Bipartite Graphs. CoRR abs/1906.11994 (2019) - [i36]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i35]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
The Truly Deep Graph Convolutional Networks for Node Classification. CoRR abs/1907.10903 (2019) - [i34]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
The General Black-box Attack Method for Graph Neural Networks. CoRR abs/1908.01297 (2019) - [i33]Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang:
Transferable Neural Processes for Hyperparameter Optimization. CoRR abs/1909.03209 (2019) - [i32]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. CoRR abs/1909.03252 (2019) - [i31]Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR abs/1910.00698 (2019) - [i30]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-shot Learning via Knowledge Transfer. CoRR abs/1910.03053 (2019) - [i29]Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan:
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. CoRR abs/1910.04417 (2019) - [i28]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - [i27]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i26]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - 2018
- [j30]Zhibin Zhu, Jiawen Yao, Zheng Xu, Junzhou Huang, Benxin Zhang:
A simple primal-dual algorithm for nuclear norm and total variation regularization. Neurocomputing 289: 1-12 (2018) - [j29]Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang:
An efficient algorithm for dynamic MRI using low-rank and total variation regularizations. Medical Image Anal. 44: 14-27 (2018) - [j28]Chen Chen, Lei He, Hongsheng Li, Junzhou Huang:
Fast iteratively reweighted least squares algorithms for analysis-based sparse reconstruction. Medical Image Anal. 49: 141-152 (2018) - [j27]Zheng Xu, Sheng Wang, Yeqing Li, Feiyun Zhu, Junzhou Huang:
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction. Neuroinformatics 16(3-4): 425-430 (2018) - [j26]Yeqing Li, Wei Liu, Junzhou Huang:
Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1526-1532 (2018) - [j25]Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang:
Hierarchical Sparse Representation for Robust Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2151-2164 (2018) - [j24]Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang:
A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation. IEEE Signal Process. Lett. 25(8): 1126-1130 (2018) - [c115]Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Adaptive Graph Convolutional Neural Networks. AAAI 2018: 3546-3553 - [c114]Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang:
Deep Multi-instance Learning with Dynamic Pooling. ACML 2018: 662-677 - [c113]Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang:
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. BCB 2018: 103-110 - [c112]Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang, Junzhou Huang:
Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery. BCB 2018: 404-413 - [c111]Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB 2018: 482-491 - [c110]Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang:
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. BCB 2018: 492-501 - [c109]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CVPR 2018: 6016-6025 - [c108]Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang:
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) 2018: 457-473 - [c107]Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) 2018: 370-386 - [c106]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. ICML 2018: 706-714 - [c105]Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang:
Transfer Learning via Learning to Transfer. ICML 2018: 5072-5081 - [c104]Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang:
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. ICML 2018: 5321-5329 - [c103]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [c102]Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang:
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. MLMI@MICCAI 2018: 10-18 - [c101]Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang:
Graph CNN for Survival Analysis on Whole Slide Pathological Images. MICCAI (2) 2018: 174-182 - [c100]Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang:
Group-Driven Reinforcement Learning for Personalized mHealth Intervention. MICCAI (1) 2018: 590-598 - [c99]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS 2018: 883-894 - [c98]Xuguang Duan, Wen-bing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang:
Weakly Supervised Dense Event Captioning in Videos. NeurIPS 2018: 3063-3073 - [c97]Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang:
Adaptive Sampling Towards Fast Graph Representation Learning. NeurIPS 2018: 4563-4572 - [c96]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c95]Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang:
Online Compact Convexified Factorization Machine. WWW 2018: 1633-1642 - [i25]Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Adaptive Graph Convolutional Neural Networks. CoRR abs/1801.03226 (2018) - [i24]Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang:
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. CoRR abs/1802.09714 (2018) - [i23]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CoRR abs/1804.00413 (2018) - [i22]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018) - [i21]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. CoRR abs/1806.04895 (2018) - [i20]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang:
Nonparametric Topic Modeling with Neural Inference. CoRR abs/1806.06583 (2018) - [i19]Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang:
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. CoRR abs/1806.08054 (2018) - [i18]Jie Liu, Yu Rong, Martin Takác, Junzhou Huang:
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. CoRR abs/1807.05328 (2018) - [i17]Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang:
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. CoRR abs/1807.06067 (2018) - [i16]Lijie Fan, Wen-bing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. CoRR abs/1808.02992 (2018) - [i15]Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang:
Adaptive Sampling Towards Fast Graph Representation Learning. CoRR abs/1809.05343 (2018) - [i14]Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR abs/1809.07099 (2018) - [i13]Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. CoRR abs/1810.06305 (2018) - [i12]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR abs/1810.11809 (2018) - [i11]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018) - [i10]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR abs/1811.08979 (2018) - [i9]Xuguang Duan, Wen-bing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang:
Weakly Supervised Dense Event Captioning in Videos. CoRR abs/1812.03849 (2018) - 2017
- [j23]Yuanjie Zheng, Shaoting Zhang, Junzhou Huang, Weidong Cai:
Guest Editorial: Special issue on advances in computing techniques for big medical image data. Neurocomputing 229: 1-2 (2017) - [j22]Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli:
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing 229: 13-22 (2017) - [c94]Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma:
Adaptive Proximal Average Approximation for Composite Convex Minimization. AAAI 2017: 2513-2519 - [c93]Zheng Xu, Junzhou Huang:
A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. AAAI 2017: 2803-2809 - [c92]Zheng Xu, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery. BCB 2017: 285-294 - [c91]Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang:
WSISA: Making Survival Prediction from Whole Slide Histopathological Images. CVPR 2017: 6855-6863 - [c90]Sheng Wang, Ashwin Raju, Junzhou Huang:
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos. ISBI 2017: 620-623 - [c89]Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang:
Deep Correlational Learning for Survival Prediction from Multi-modality Data. MICCAI (2) 2017: 406-414 - [c88]Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang:
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS 2017: 3444-3454 - [p1]Junzhou Huang, Zheng Xu:
Cell Detection with Deep Learning Accelerated by Sparse Kernel. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 137-157 - [i8]Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang:
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR abs/1703.10039 (2017) - [i7]Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang:
Group-driven Reinforcement Learning for Personalized mHealth Intervention. CoRR abs/1708.04001 (2017) - [i6]Ruoyu Li, Junzhou Huang:
Learning Graph While Training: An Evolving Graph Convolutional Neural Network. CoRR abs/1708.04675 (2017) - [i5]Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang:
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm. CoRR abs/1708.05446 (2017) - 2016
- [j21]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Scalable histopathological image analysis via supervised hashing with multiple features. Medical Image Anal. 34: 3-12 (2016) - [j20]Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2212-2226 (2016) - [c87]Yeqing Li, Junzhou Huang, Wei Liu:
Scalable Sequential Spectral Clustering. AAAI 2016: 1809-1815 - [c86]Xinliang Zhu, Jiawen Yao, Guanghua Xiao, Yang Xie, Jaime Rodriguez-Canales, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba, Junzhou Huang:
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model. BIBM 2016: 455-459 - [c85]Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Deep convolutional neural network for survival analysis with pathological images. BIBM 2016: 544-547 - [c84]Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas:
Track Facial Points in Unconstrained Videos. BMVC 2016 - [c83]Xi Peng, Junzhou Huang, Dimitris N. Metaxas:
Sequential Face Alignment via Person-Specific Modeling in the Wild. CVPR Workshops 2016: 1558-1567 - [c82]Longwen Gao, Yeqing Li, Junzhou Huang, Shuigeng Zhou:
Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications. ECAI 2016: 507-514 - [c81]Zheng Xu, Yeqing Li, Junzhou Huang:
Accelerated sparse optimization for missing data completion. ICPR 2016: 1267-1272 - [c80]Zhongxing Peng, Zheng Xu, Junzhou Huang:
RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso. ISBI 2016: 318-321 - [c79]Xinliang Zhu, Jiawen Yao, Xin Luo, Guanghua Xiao, Yang Xie, Adi F. Gazdar, Junzhou Huang:
Lung cancer survival prediction from pathological images and genetic data - An integration study. ISBI 2016: 1173-1176 - [c78]Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang:
Subtype Cell Detection with an Accelerated Deep Convolution Neural Network. MICCAI (2) 2016: 640-648 - [c77]Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang:
Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) 2016: 649-657 - [c76]Zheng Xu, Junzhou Huang:
Detecting 10, 000 Cells in One Second. MICCAI (2) 2016: 676-684 - [i4]Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas:
Track Facial Points in Unconstrained Videos. CoRR abs/1609.02825 (2016) - 2015
- [j19]Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza:
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. Comput. Medical Imaging Graph. 46: 47-55 (2015) - [j18]Ruogu Fang, Haodi Jiang, Junzhou Huang:
Tissue-specific sparse deconvolution for brain CT perfusion. Comput. Medical Imaging Graph. 46: 64-72 (2015) - [j17]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. 136: 92-102 (2015) - [j16]Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas:
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Trans. Cybern. 45(3): 506-520 (2015) - [j15]Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas:
Learning Multiscale Active Facial Patches for Expression Analysis. IEEE Trans. Cybern. 45(8): 1499-1510 (2015) - [j14]Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang:
SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework. IEEE Trans. Image Process. 24(11): 4213-4224 (2015) - [c75]Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang:
Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI 2015: 2750-2756 - [c74]Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang:
Deep sparse representation for robust image registration. CVPR 2015: 4894-4901 - [c73]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Three-dimensional head pose estimation in-the-wild. FG 2015: 1-6 - [c72]Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao:
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information. IJCAI 2015: 3438-3444 - [c71]Chen Chen, Venkaiah C. Kavuri, Xinlong Wang, Ruoyu Li, Hanli Liu, Junzhou Huang:
Multi-frequency diffuse optical tomography for cancer detection. ISBI 2015: 67-70 - [c70]Ruogu Fang, Junzhou Huang, Wen-Ming Luh:
A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data. ISBI 2015: 498-502 - [c69]Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang:
Robust image registration in the gradient domain. ISBI 2015: 605-608 - [c68]Zheng Xu, Junzhou Huang:
Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network. Patch-MI@MICCAI 2015: 79-86 - [c67]Hao Pan, Zheng Xu, Junzhou Huang:
An Effective Approach for Robust Lung Cancer Cell Detection. Patch-MI@MICCAI 2015: 87-94 - [c66]Ruoyu Li, Junzhou Huang:
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images. Patch-MI@MICCAI 2015: 120-127 - [c65]Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li:
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. MCV@MICCAI 2015: 168-179 - [c64]Jiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan, Junzhou Huang:
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features. MLMI 2015: 288-295 - [c63]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. MICCAI (3) 2015: 366-373 - [c62]Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang:
Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction. MICCAI (2) 2015: 563-570 - [c61]Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang:
Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization. MICCAI (2) 2015: 635-642 - [c60]Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang:
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) 2015: 700-707 - 2014
- [j13]Chen Chen, Junzhou Huang:
The benefit of tree sparsity in accelerated MRI. Medical Image Anal. 18(6): 834-842 (2014) - [j12]Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang:
Feature Matching with Affine-Function Transformation Models. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2407-2422 (2014) - [j11]Chen Chen, Fenghua Tian, Hanli Liu, Junzhou Huang:
Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging. IEEE Trans. Medical Imaging 33(12): 2323-2331 (2014) - [j10]Chen Chen, Yeqing Li, Junzhou Huang:
Forest Sparsity for Multi-Channel Compressive Sensing. IEEE Trans. Signal Process. 62(11): 2803-2813 (2014) - [c59]Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang:
Sub-Selective Quantization for Large-Scale Image Search. AAAI 2014: 2803-2809 - [c58]Chen Chen, Junzhou Huang, Lei He, Hongsheng Li:
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction. CVPR 2014: 2713-2720 - [c57]Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang:
Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity. CVPR 2014: 2760-2765 - [c56]Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang, Laleh Shikh Gholamhossein Ghandehari:
Multimodal sparse representation classification with Fisher discriminative sample reduction. ICIP 2014: 5192-5196 - [c55]Chen Chen, Zhongxing Peng, Junzhou Huang:
O(1) Algorithms for Overlapping Group Sparsity. ICPR 2014: 1645-1650 - [c54]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Head Pose Estimation by Instance Parameterization. ICPR 2014: 1800-1805 - [c53]Yeqing Li, Chen Chen, Junzhou Huang:
Transformation-Invariant Collaborative Sub-representation. ICPR 2014: 3738-3743 - [c52]Chen Chen, Junzhou Huang:
Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI. ISBI 2014: 41-44 - [c51]Chen Chen, Fenghua Tian, Jixing Yao, Hanli Liu, Junzhou Huang:
2D diffuse optical imaging using clustered sparsity. ISBI 2014: 616-619 - [c50]Chen Chen, Yeqing Li, Leon Axel, Junzhou Huang:
Real Time Dynamic MRI with Dynamic Total Variation. MICCAI (1) 2014: 138-145 - [c49]Yeqing Li, Chen Chen, Xiaolei Huang, Junzhou Huang:
Instrument Tracking via Online Learning in Retinal Microsurgery. MICCAI (1) 2014: 464-471 - [i3]Chen Chen, Junzhou Huang, Lei He, Hongsheng Li:
Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction. CoRR abs/1411.5057 (2014) - [i2]Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang:
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework. CoRR abs/1411.5065 (2014) - 2013
- [j9]Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas:
3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. 117(9): 1061-1071 (2013) - [j8]Baiyang Liu, Junzhou Huang, Casimir A. Kulikowski, Lin Yang:
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2968-2981 (2013) - [c48]Xiang Yu, Fei Yang, Junzhou Huang, Dimitris N. Metaxas:
Explicit occlusion detection based deformable fitting for facial landmark localization. FG 2013: 1-6 - [c47]Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan, Dimitris N. Metaxas:
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model. ICCV 2013: 1944-1951 - [c46]Yang Yu, Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas, Leon Axel:
Sparse Deformable Models with Application to Cardiac Motion Analysis. IPMI 2013: 208-219 - [c45]Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris N. Metaxas, Leon Axel:
Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction. ISBI 2013: 820-823 - [c44]Chen Chen, Yeqing Li, Junzhou Huang:
Calibrationless Parallel MRI with Joint Total Variation Regularization. MICCAI (3) 2013: 106-114 - [c43]Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang:
The role of dictionary learning on sparse representation-based classification. PETRA 2013: 47:1-47:8 - 2012
- [j7]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Towards robust and effective shape modeling: Sparse shape composition. Medical Image Anal. 16(1): 265-277 (2012) - [j6]Shaoting Zhang, Junzhou Huang, Hongsheng Li, Dimitris N. Metaxas:
Automatic Image Annotation and Retrieval Using Group Sparsity. IEEE Trans. Syst. Man Cybern. Part B 42(3): 838-849 (2012) - [c42]Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas:
Learning active facial patches for expression analysis. CVPR 2012: 2562-2569 - [c41]Xinyi Cui, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Background Subtraction Using Low Rank and Group Sparsity Constraints. ECCV (1) 2012: 612-625 - [c40]Fei Yang, Junzhou Huang, Xiang Yu, Xinyi Cui, Dimitris N. Metaxas:
Robust face tracking with a consumer depth camera. ICIP 2012: 561-564 - [c39]Fei Yang, Xiang Yu, Junzhou Huang, Peng Yang, Dimitris N. Metaxas:
Robust eyelid tracking for fatigue detection. ICIP 2012: 1829-1832 - [c38]Xinyi Cui, Shaoting Zhang, Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel:
Left endocardium segmentation using spatio-temporal Metamorphs. ISBI 2012: 226-229 - [c37]Junzhou Huang, Fei Yang:
Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation. ISBI 2012: 968-971 - [c36]Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas:
3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. MeshMed 2012: 12-21 - [c35]Junzhou Huang, Chen Chen, Leon Axel:
Fast Multi-contrast MRI Reconstruction. MICCAI (1) 2012: 281-288 - [c34]Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas:
Simplified Labeling Process for Medical Image Segmentation. MICCAI (2) 2012: 387-394 - [c33]Chen Chen, Junzhou Huang:
Compressive Sensing MRI with Wavelet Tree Sparsity. NIPS 2012: 1124-1132 - [i1]Chen Chen, Yeqing Li, Junzhou Huang:
Learning with Forest Sparsity. CoRR abs/1211.4657 (2012) - 2011
- [j5]Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas:
Robust mesh editing using Laplacian coordinates. Graph. Model. 73(1): 10-19 (2011) - [j4]Junzhou Huang, Shaoting Zhang, Hongsheng Li, Dimitris N. Metaxas:
Composite splitting algorithms for convex optimization. Comput. Vis. Image Underst. 115(12): 1610-1622 (2011) - [j3]Junzhou Huang, Tong Zhang, Dimitris N. Metaxas:
Learning with Structured Sparsity. J. Mach. Learn. Res. 12: 3371-3412 (2011) - [j2]Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Efficient MR image reconstruction for compressed MR imaging. Medical Image Anal. 15(5): 670-679 (2011) - [c32]Athina P. Petropulu, Yao Yu, Junzhou Huang:
On exploring sparsity in widely separated MIMO radar. ACSCC 2011: 1496-1500 - [c31]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Sparse shape composition: A new framework for shape prior modeling. CVPR 2011: 1025-1032 - [c30]Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski:
Robust tracking using local sparse appearance model and K-selection. CVPR 2011: 1313-1320 - [c29]Fei Yang, Junzhou Huang, Dimitris N. Metaxas:
Sparse shape registration for occluded facial feature localization. FG 2011: 272-277 - [c28]Fei Yang, Junzhou Huang, Peng Yang, Dimitris N. Metaxas:
Eye localization through multiscale sparse dictionaries. FG 2011: 514-518 - [c27]Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel:
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. FIMH 2011: 88-94 - [c26]Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel:
4D Cardiac Reconstruction Using High Resolution CT Images. FIMH 2011: 153-160 - [c25]Hongsheng Li, Junzhou Huang, Shaoting Zhang, Xiaolei Huang:
Optimal object matching via convexification and composition. ICCV 2011: 33-40 - [c24]Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, Junzhou Huang:
A 3D Laplacian-driven parametric deformable model. ICCV 2011: 279-286 - [c23]Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas:
3D segmentation of rodent brain structures using Active Volume Model with shape priors. ISBI 2011: 433-436 - [c22]Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe Restif, Xiaolei Huang, Dimitris N. Metaxas:
Group sparsity based classification for cervigram segmentation. ISBI 2011: 1425-1429 - [c21]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Deformable Segmentation via Sparse Shape Representation. MICCAI (2) 2011: 451-458 - [c20]Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas:
3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models. MICCAI (3) 2011: 611-618 - 2010
- [c19]Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris N. Metaxas:
Automatic image annotation using group sparsity. CVPR 2010: 3312-3319 - [c18]Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Fast Optimization for Mixture Prior Models. ECCV (3) 2010: 607-620 - [c17]Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski:
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization. ECCV (4) 2010: 624-637 - [c16]Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas, Wei Wang, Xiaolei Huang:
Discriminative sparse representations for cervigram image segmentation. ISBI 2010: 133-136 - [c15]Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Efficient MR Image Reconstruction for Compressed MR Imaging. MICCAI (1) 2010: 135-142 - [c14]Shaoting Zhang, Junzhou Huang, Wei Wang, Xiaolei Huang, Dimitris N. Metaxas:
Cervigram image segmentation based on reconstructive sparse representations. Medical Imaging: Image Processing 2010: 762313
2000 – 2009
- 2009
- [c13]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas:
Learning with dynamic group sparsity. ICCV 2009: 64-71 - [c12]Junzhou Huang, Tong Zhang, Dimitris N. Metaxas:
Learning with structured sparsity. ICML 2009: 417-424 - 2008
- [c11]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas:
Simultaneous image transformation and sparse representation recovery. CVPR 2008 - [c10]Junzhou Huang, Zhen Qian, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel:
Tag Separation in Cardiac Tagged MRI. MICCAI (2) 2008: 289-297 - [c9]Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou Huang, Dimitris N. Metaxas, Leon Axel:
Active Volume Models with Probabilistic Object Boundary Prediction Module. MICCAI (1) 2008: 331-341 - 2007
- [c8]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas:
Optimization and Learning for Registration of Moving Dynamic Textures. ICCV 2007: 1-8 - [c7]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel:
Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images. ISBI 2007: 852-855 - [c6]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel:
Adaptive Metamorphs Model for 3D Medical Image Segmentation. MICCAI (1) 2007: 302-310 - 2006
- [c5]Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Debarata Banerjee:
3D tumor shape reconstruction from 2D bioluminescence images. ISBI 2006: 606-609 - 2005
- [j1]Junzhou Huang, Tieniu Tan, Li Ma, Yunhong Wang:
Phase Correlation Based Iris Image Registration Model. J. Comput. Sci. Technol. 20(3): 419-425 (2005) - 2004
- [c4]Junzhou Huang, Yunhong Wang, Jiali Cui, Tieniu Tan:
Noise removal and impainting model for IRIS image. ICIP 2004: 869-872 - [c3]Jiali Cui, Yunhong Wang, Junzhou Huang, Tieniu Tan, Zhenan Sun:
An Iris Image Synthesis Method Based on PCA and Super-Resolution. ICPR (4) 2004: 471-474 - [c2]Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui:
A New Iris Segmentation Method for Recognition. ICPR (3) 2004: 554-557 - 2003
- [c1]Junzhou Huang, Li Ma, Tieniu Tan, Yunhong Wang:
Learning Based Resolution Enhancement of Iris Images. BMVC 2003: 1-10
Coauthor Index
[j63] [j61] [j60] [i115] [j59] [j51] [c205] [i110] [i108] [i101] [c187] [c170] [i84] [i81] [i76] [c169] [c167] [c157] [c153] [c147] [c145] [c141] [i72] [i69] [i64] [i59] [i58] [i57] [i52] [i44] [c139] [c133] [c132] [c121] [c120] [c116] [i41] [i37] [i36] [i35] [i34] [i32] [i29] [c109] [c98] [c97] [i23] [i16] [i15] [i11] [i9] [c88]
[i119] [c137] [j21] [j20] [c84] [c83] [i4] [j17] [j16] [j15] [c73] [c63] [c54] [j9] [c48] [c47] [c46] [c45] [j7] [j6] [c42] [c41] [c40] [c39] [c38] [c36] [c34] [j5] [j4] [j3] [j2] [c31] [c29] [c28] [c27] [c26] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
[j71] [j70] [j69] [j62] [j61] [j60] [c226] [i115] [j59] [j56] [j51] [j49] [j48] [c211] [c206] [c205] [c204] [c203] [c202] [c196] [c195] [i113] [i112] [i110] [i108] [i106] [i103] [i101] [j42] [c191] [c190] [c188] [c187] [c186] [c185] [c184] [c183] [c180] [c172] [c170] [i96] [i95] [i92] [i91] [i89] [i88] [i85] [i84] [i82] [i81] [i80] [i78] [i76] [c169] [c167] [c157] [c153] [c148] [c147] [c145] [c141] [c140] [i72] [i71] [i70] [i69] [i64] [i59] [i58] [i57] [i52] [i48] [i47] [i46] [i44] [i43] [c133] [c132] [c116] [i41] [i37] [i36] [i35] [i34] [i32] [c108] [c97] [i18] [i15] [i11]
[j69] [j61] [j60] [c226] [c216] [i115] [j59] [j56] [j49] [c205] [c204] [c202] [c196] [c195] [i113] [i112] [i110] [i108] [i106] [i103] [i101] [j44] [j42] [c188] [c187] [c184] [c180] [c172] [i92] [i91] [i84] [i82] [i81] [i78] [c169] [c167] [c164] [c157] [c153] [c147] [c145] [c141] [i72] [i69] [i64] [i59] [i58] [i57] [i52] [i47] [i46] [i44] [c133] [c117] [i36] [i35] [i34] [i31] [i11]
[c226] [c224] [c223] [c218] [c216] [j51] [j50] [j47] [c214] [c202] [c196] [c195] [i113] [i112] [i110] [i107] [i104] [i103] [i99] [i98] [j42] [j39] [j38] [c193] [c191] [c185] [c182] [c171] [i94] [i93] [i88] [i85] [i83] [i78] [i76] [i74] [j37] [j34] [j33] [c169] [c158] [c156] [c144] [c143] [i72] [i68] [i67] [i66] [i63] [i61] [i57] [i56] [i55] [i45] [i43] [j31] [c135] [c132] [c124] [c119] [c118] [i33] [i32] [i28] [i27] [i26] [c103] [c95] [i22] [i14] [i13]
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