Hierarchical Macro Strategy Model for MOBA Game AI. - Bin Wu; Qiang Fu 016; Jing Liang; Peng Qu; Xiaoqian Li; Liang Wang 015; Wei Liu 005; Wei Yang 032; Yongsheng Liu (CoRR, 2018)

Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning. - Hong Shang; Zhongqian Sun; Wei Yang 032; Xinghui Fu; Han Zheng; Jia Chang; Junzhou Huang (MICCAI (5), 2019)

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Zhao Liu; Mingfei Sun 001; Bei Shi; Peilin Zhao; Hao Wu; Hongsheng Yu; Shaojie Yang; Xipeng Wu; Qingwei Guo; Qiaobo Chen; Yinyuting Yin; et al. (AAAI, 2020)

Towards Playing Full MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Guibin Chen; Wen Zhang; Sheng Chen; Bo Yuan 008; Bo Liu; Jia Chen; Zhao Liu; Fuhao Qiu; Hongsheng Yu; Yinyuting Yin; Bei Shi; et al. (NeurIPS, 2020)

Boosting Offline Reinforcement Learning with Residual Generative Modeling. - Hua Wei 001; Deheng Ye; Zhao Liu; Hao Wu; Bo Yuan 008; Qiang Fu 016; Wei Yang 032; Zhenhui Li (IJCAI, 2021)

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. - Menghui Zhu; Minghuan Liu; Jian Shen 003; Zhicheng Zhang; Sheng Chen; Weinan Zhang 001; Deheng Ye; Yong Yu 001; Qiang Fu 016; Wei Yang 032 (IJCAI, 2021)

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Junzhou Huang; Wei Yang 032; Xiao Han 011 (MICCAI (8), 2021)

Learning Diverse Policies in MOBA Games via Macro-Goals. - Yiming Gao 007; Bei Shi; Xueying Du; Liang Wang 015; Guangwei Chen; Zhenjie Lian; Fuhao Qiu; Guoan Han; Weixuan Wang; Deheng Ye; Qiang Fu 016; Wei Yang 032; et al. (NeurIPS, 2021)

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Anssi Kanervisto; Stephanie Milani; Karolis Ramanauskas; Nicholay Topin; Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032; Weijun Hong; Zhongyue Huang; et al. (NeurIPS (Competition and Demos), 2021)

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Xin Zhang; Zixuan Liu 001; Kaiwen Xiao; Tian Shen; Junzhou Huang; Wei Yang 032; Dimitris Samaras; Xiao Han 011 (CoRR, 2021)

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. - Sheng Chen; Menghui Zhu; Deheng Ye; Weinan Zhang 001; Qiang Fu 016; Wei Yang 032 (IEEE Trans. Games, 2021)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. - Haobo Fu; Weiming Liu 004; Shuang Wu; Yijia Wang; Tao Yang; Kai Li 022; Junliang Xing; Bin Li 025; Bo Ma; Qiang Fu 016; Wei Yang 032 (ICLR, 2022)

Greedy when Sure and Conservative when Uncertain about the Opponents. - Haobo Fu; Ye Tian; Hongxiang Yu; Weiming Liu 004; Shuang Wu; Jiechao Xiong; Ying Wen 001; Kai Li 022; Junliang Xing; Qiang Fu 016; Wei Yang 032 (ICML, 2022)

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. - Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032 (IJCAI, 2022)

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. - Hua Wei 001; Jingxiao Chen; Xiyang Ji; Hongyang Qin; Minwen Deng; Siqin Li; Liang Wang 015; Weinan Zhang 001; Yong Yu 001; Liu Lin; Lanxiao Huang; Deheng Ye; et al. (NeurIPS, 2022)

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. - Xiyue Wang; Jinxi Xiang; Jun Zhang 018; Sen Yang 006; Zhongyi Yang; Ming-Hui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (NeurIPS, 2022)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

Revisiting Discrete Soft Actor-Critic. - Haibin Zhou; Zichuan Lin; Junyou Li; Deheng Ye; Qiang Fu 016; Wei Yang 032 (CoRR, 2022)

Transformer-based unsupervised contrastive learning for histopathological image classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2022)

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. - Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Xiyue Wang; Wei Yang 032; Junzhou Huang; Wenping Wang; Xiao Han 011 (IEEE Trans. Medical Imaging, 2022)

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Deheng Ye; Guibin Chen; Peilin Zhao; Fuhao Qiu; Bo Yuan 008; Wen Zhang; Sheng Chen; Mingfei Sun 001; Xiaoqian Li; Siqin Li; Jing Liang; Zhenjie Lian; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. - Sen Yang 006; Tao Shen; Yuqi Fang; Xiyue Wang; Jun Zhang 018; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Genom. Proteom. Bioinform., 2022)

RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. - Boxuan Zhao; Jun Zhang 018; Deheng Ye; Jian Cao; Xiao Han 011; Qiang Fu 016; Wei Yang 032 (AAAI, 2023)

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Zhenjie Lian; Weixuan Wang; Siqin Li; Xianliang Wang; Xianhan Zeng; Rundong Wang; Jiawei Wang; Qiang Fu 016; Wei Yang 032; et al. (ICLR, 2023)

Quality-Similar Diversity via Population Based Reinforcement Learning. - Shuang Wu; Jian Yao 008; Haobo Fu; Ye Tian; Chao Qian 001; Yaodong Yang 001; Qiang Fu 016; Wei Yang 032 (ICLR, 2023)

Opponent-Limited Online Search for Imperfect Information Games. - Weiming Liu 004; Haobo Fu; Qiang Fu 016; Wei Yang 032 (ICML, 2023)

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. - Yue Lv; Jinxi Xiang; Jun Zhang 018; Wenming Yang; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

A Robust and Opponent-Aware League Training Method for StarCraft II. - Ruozi Huang; Xipeng Wu; Hongsheng Yu; Zhong Fan; Haobo Fu; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

Policy Space Diversity for Non-Transitive Games. - Jian Yao 008; Weiming Liu 004; Haobo Fu; Yaodong Yang 001; Stephen McAleer; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. - Jinxi Xiang; Xiyue Wang; Xinran Wang; Jun Zhang 018; Sen Yang 006; Wei Yang 032; Xiao Han 011; Yueping Liu (Comput. Biol. Medicine, 2023)

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. - Haoxuan Pan; Deheng Ye; Xiaoming Duan; Qiang Fu 016; Wei Yang 032; Jianping He 001; Mingfei Sun 001 (CoRR, 2023)

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. - Zichuan Lin; Xiapeng Wu; Mingfei Sun 001; Deheng Ye; Qiang Fu 016; Wei Yang 032; Wei Liu 005 (CoRR, 2023)

Future-conditioned Unsupervised Pretraining for Decision Transformer. - Zhihui Xie 002; Zichuan Lin; Deheng Ye; Qiang Fu 016; Wei Yang 032; Shuai Li 010 (CoRR, 2023)

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. - Hu Ye; Jun Zhang 018; Sibo Liu; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. - Fei Shen; Hu Ye; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Effortless Cross-Platform Video Codec: A Codebook-Based Method. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. - Feng Luo; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. - Xiyue Wang; Yuexi Du; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. - Xiyue Wang; Jun Zhang 018; Sen Yang 006; Jingxi Xiang; Feng Luo; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

Merging nucleus datasets by correlation-based cross-training. - Wenhua Zhang; Jun Zhang 018; Xiyue Wang; Sen Yang 006; Junzhou Huang; Wei Yang 032; Wenping Wang; Xiao Han 011 (Medical Image Anal., 2023)

RLTF: Reinforcement Learning from Unit Test Feedback. - Jiate Liu; Yiqin Zhu; Kaiwen Xiao; Qiang Fu 016; Xiao Han 011; Wei Yang 032; Deheng Ye (Trans. Mach. Learn. Res., 2023)

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Dehua Zheng; Zhenjie Lian; Weixuan Wang; Wenjin Yang; Siqin Li; Xianliang Wang; Wenhui Chen; Jing Dai; Qiang Fu 016; et al. (ICLR, 2024)

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination. - Liangzhou Wang; Kaiwen Zhu; Fengming Zhu; Xinghu Yao; Shujie Zhang; Deheng Ye; Haobo Fu; Qiang Fu 016; Wei Yang 032 (CoRR, 2024)

Ensembling Diffusion Models via Adaptive Feature Aggregation. - Cong Wang 034; Kuan Tian; Yonghang Guan; Jun Zhang 018; Zhiwei Jiang 001; Fei Shen; Xiao Han 011; Qing Gu 001; Wei Yang 032 (CoRR, 2024)

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. - Cong Wang 034; Kuan Tian; Jun Zhang 018; Yonghang Guan; Feng Luo; Fei Shen; Zhiwei Jiang 001; Qing Gu 001; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. - Fei Shen; Hu Ye; Sibo Liu; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Junfeng Yang; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (CoRR, 2024)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (CoRR, 2024)

Playable Game Generation. - Mingyu Yang; Junyou Li; Zhongbin Fang; Sheng Chen; Yangbin Yu; Qiang Fu 016; Wei Yang 032; Deheng Ye (CoRR, 2024)

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. - Tiantian Zhang 002; Zichuan Lin; Yuxing Wang; Deheng Ye; Qiang Fu 016; Wei Yang 032; Xueqian Wang 001; Bin Liang 001; Bo Yuan 003; Xiu Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)