Wei Yang - RankMe

75 papers A* 22Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ASRQ-VC: ASR-Guided Speech Content Quantization for High-Fidelity Voice Conversion. APSIPA Songting Liu, Deheng Ye, Wei Yang, Haoyang Li, Eng Siong Chng
2025	A*	`conf`	CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling. SIGGRAPH Asia Yuze He, Yanning Zhou, Wang Zhao, Jingwen Ye, Yushi Bai, Kaiwen Xiao, Yong-Jin Liu, Zhongqian Sun, Wei Yang
2025	—	`conf`	PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive transformer. SIGGRAPH (Conference Paper Track) Jingwen Ye, Yuze He, Yanning Zhou, Yiqin Zhu, Kaiwen Xiao, Yong-Jin Liu, Wei Yang, Xiao Han
2025	J	`jnl`	Yan: Foundational Interactive Video Generation. CoRR Deheng Ye, Fangyun Zhou, Jiacheng Lv, Jianqi Ma, Jun Zhang, Junyan Lv, Junyou Li, Minwen Deng, Mingyu Yang, Qiang Fu, Wei Yang, Wenkai Lv, Yangbin Yu, Yewen Wang, Yonghang Guan, Zhihao Hu, Zhongbin Fang, Zhongqian Sun
2024	J	`jnl`	Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. CoRR Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
2024	J	`jnl`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu
2024	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Trans. Neural Networks Learn. Syst. Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2024	A*	`conf`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. ICLR Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2024	J	`jnl`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. CoRR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Dehua Zheng, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2024	J	`jnl`	Ensembling Diffusion Models via Adaptive Feature Aggregation. CoRR Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang
2024	J	`jnl`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji
2024	J	`jnl`	Playable Game Generation. CoRR Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye
2024	J	`jnl`	Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination. CoRR Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang
2024	J	`jnl`	V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. CoRR Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang
2023	A*	`conf`	A Robust and Opponent-Aware League Training Method for StarCraft II. NeurIPS Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang
2023	J	`jnl`	A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	J	`jnl`	Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. CoRR Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
2023	J	`jnl`	Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Comput. Biol. Medicine Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu
2023	A*	`conf`	Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. ACM Multimedia Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023	J	`jnl`	Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023	J	`jnl`	Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	J	`jnl`	Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
2023	A*	`conf`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji
2023	J	`jnl`	IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. CoRR Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
2023	J	`jnl`	Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. CoRR Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	J	`jnl`	Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han
2023	A*	`conf`	Opponent-Limited Online Search for Imperfect Information Games. ICML Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang
2023	A*	`conf`	Policy Space Diversity for Non-Transitive Games. NeurIPS Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	Policy Space Diversity for Non-Transitive Games. CoRR Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	A*	`conf`	Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
2023	J	`jnl`	RLTF: Reinforcement Learning from Unit Test Feedback. CoRR Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
2023	J	`jnl`	RLTF: Reinforcement Learning from Unit Test Feedback. Trans. Mach. Learn. Res. Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
2023	A*	`conf`	RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2023	J	`jnl`	RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	J	`jnl`	Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun
2023	J	`jnl`	Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
2023	A*	`conf`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. ICLR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2023	J	`jnl`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. CoRR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2023	A*	`conf`	Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. ACM Multimedia Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	J	`jnl`	Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. CoRR Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2022	A*	`conf`	Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang
2022	J	`jnl`	DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2022	A*	`conf`	Greedy when Sure and Conservative when Uncertain about the Opponents. ICML Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
2022	A*	`conf`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022	A*	`conf`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2022	A*	`conf`	Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
2022	J	`jnl`	Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han
2022	J	`jnl`	RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2022	J	`jnl`	Revisiting Discrete Soft Actor-Critic. CoRR Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang
2022	A*	`conf`	SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2022	J	`jnl`	Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2021	A*	`conf`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	J	`jnl`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	J	`jnl`	CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han
2021	J	`jnl`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2021	A*	`conf`	Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang
2021	J	`jnl`	Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang
2021	A*	`conf`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	J	`jnl`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2021	—	`conf`	TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han
2021	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2020	A*	`conf`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2020	J	`jnl`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2020	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2019	—	`conf`	Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning. MICCAI (5) Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Huang
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
2018	J	`jnl`	Hierarchical Macro Strategy Model for MOBA Game AI. CoRR Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu