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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