Junzhou Huang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 323

Top Venues

Publications

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 (2024)
Qichuan Yin, Junzhou Huang, Huaxiu Yao, Linjun Zhang
Distribution-Free Fair Federated Learning with Small Samples. CoRR (2024)
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 (2024)
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 (2024)
Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
MIVC: Multiple Instance Visual Component for Visual-Language Models. WACV (2024)
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) (2024)
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. 31 (3) (2024)
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 (2024)
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)
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 (2024)
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 (2024)
Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
MIVC: Multiple Instance Visual Component for Visual-Language Models. CoRR (2023)
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)
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 (2023)
Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. WACV (2023)
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)
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)
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) (2023)
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)
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE (2023)
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) (2023)
Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR (2023)
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 (2023)
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 (2023)
Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) (2023)
Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang
NuSegDA: Domain adaptation for nuclei segmentation. Frontiers Big Data 6 (2023)
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) (2023)
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)
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)
Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang
Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss. J. Comput. Biol. 30 (1) (2023)
Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS (2023)
Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
Curriculum Graph Poisoning. WWW (2023)
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)
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 (2023)
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)
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) (2022)
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Equivariant Graph Mechanics Networks with Constraints. ICLR (2022)
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 (2022)
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 (2022)
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)
Mohammad MinHazul Haq, Junzhou Huang
Self-supervised Pre-training for Nuclei Segmentation. MICCAI (2) (2022)
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 (2022)
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)
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
Robust self-training strategy for various molecular biology prediction tasks. BCB (2022)
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) (2022)
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)
Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
Frustratingly Easy Transferability Estimation. ICML (2022)
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) (2022)
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 (2022)
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) (2022)
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 (2022)
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) (2022)
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)
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 (2022)
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Equivariant Graph Mechanics Networks with Constraints. CoRR (2022)
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)
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 (2022)
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)
Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR (2022)
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 (2022)
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 (2022)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI (2022)
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) (2022)
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 (2022)
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR (2022)
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) (2022)
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)
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 (2022)
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)
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)
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) (2022)
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)
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR (2022)
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) (2022)
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)
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) (2022)
Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR (2022)
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) (2022)
Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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) (2022)
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE (2022)
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 (2022)
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) (2022)
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 (2021)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM (2021)
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)
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
On Self-Distilling Graph Neural Network. IJCAI (2021)
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 (2021)
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
Towards Expectation-Maximization by SQL in RDBMS. CoRR (2021)
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang
Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR (2021)
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) (2021)
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 (2021)
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)
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
Hierarchical Graph Capsule Network. AAAI (2021)
Ying Wei, Peilin Zhao, Junzhou Huang
Meta-learning Hyperparameter Performance Prediction with Neural Processes. ICML (2021)
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)

Junzhou Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Junzhou Huang