Deheng Ye - RankMe

136 papers A* 28A 3B 2Misc 3Journal 92Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Domain Offline Policy Adaptation via Selective Transition Correction. CoRR Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li
2026	J	`jnl`	HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning. CoRR Zhicong Lu, Zichuan Lin, Wei Jia, Changyuan Tian, Deheng Ye, Peiguang Li, Li Jin, Nayu Liu, Guangluan Xu, Wei Feng
2026	A*	`conf`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. AAAI Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2026	J	`jnl`	Point-In-Context: Understanding Point Cloud via In-Context Learning. Int. J. Comput. Vis. Mengyuan Liu, Zhongbin Fang, Xia Li, Joachim M. Buhmann, Deheng Ye, Xiangtai Li, Chen Change Loy
2026	J	`jnl`	ProAct: Agentic Lookahead in Interactive Environments. CoRR Yangbin Yu, Mingyu Yang, Junyou Li, Yiming Gao, Feiyu Liu, Yijun Yang, Zichuan Lin, Jiafei Lyu, Yicheng Liu, Zhicong Lu, Deheng Ye, Jie Jiang
2026	J	`jnl`	Temporal Difference Learning with Constrained Initial Representations. CoRR Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li
2026	J	`jnl`	UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience. CoRR Zichuan Lin, Feiyu Liu, Yijun Yang, Jiafei Lyu, Yiming Gao, Yicheng Liu, Zhicong Lu, Yangbin Yu, Mingyu Yang, Junyou Li, Deheng Ye, Jie Jiang
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`	Ad Hoc Teamwork via Offline Goal-Based Decision Transformers. ICML Xinzhi Zhang, Hohei Chan, Deheng Ye, Yi Cai, Mengchen Zhao
2025	J	`jnl`	AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition. CoRR Zichuan Lin, Yicheng Liu, Yang Yang, Lvfang Tao, Deheng Ye
2025	—	`conf`	Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. ACL (Findings) Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, Yang Xiao, Deheng Ye
2025	J	`jnl`	Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. CoRR Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, Yang Xiao, Deheng Ye
2025	J	`jnl`	CORD: Generalizable Cooperation via Role Diversity. CoRR Kanefumi Matsuyama, Kefan Su, Jiangxing Wang, Deheng Ye, Zongqing Lu
2025	—	`conf`	CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks. EMNLP (Findings) Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
2025	J	`jnl`	CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks. CoRR Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
2025	A*	`conf`	Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. ICLR Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li
2025	A*	`conf`	Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making. ICML Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao
2025	J	`jnl`	Enhancing Jailbreak Attacks on LLMs via Persona Prompts. CoRR Zheng Zhang, Peilin Zhao, Deheng Ye, Hao Wang
2025	J	`jnl`	EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control. CoRR Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang
2025	J	`jnl`	From Coefficients to Directions: Rethinking Model Merging with Directional Alignment. CoRR Zhikang Chen, Sen Cui, Deheng Ye, Min Zhang, Gang Niu, Yu Zhang, Masashi Sugiyama, Tingting Zhu
2025	J	`jnl`	GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training. CoRR Tong Wei, Yijun Yang, Changhao Zhang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye
2025	J	`jnl`	GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training. CoRR Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye
2025	J	`jnl`	Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming. CoRR Zheng Zhang, Jiarui He, Yuchen Cai, Deheng Ye, Peilin Zhao, Ruili Feng, Hao Wang
2025	J	`jnl`	Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning. CoRR Mengyuan Liu, Xinshun Wang, Zhongbin Fang, Deheng Ye, Xia Li, Tao Tang, Songtao Wu, Xiangtai Li, Ming-Hsuan Yang
2025	J	`jnl`	IC-World: In-Context Generation for Shared World Modeling. CoRR Fan Wu, Jiacheng Wei, Ruibo Li, Yi Xu, Junyou Li, Deheng Ye, Guosheng Lin
2025	J	`jnl`	Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models. IEEE Trans. Neural Networks Learn. Syst. Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	J	`jnl`	Leading the Follower: Learning Persuasive Agents in Social Deduction Games. CoRR Zhang Zheng, Deheng Ye, Peilin Zhao, Hao Wang
2025	J	`jnl`	Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport. CoRR Zecheng Pan, Zhikang Chen, Ding Li, Min Zhang, Sen Cui, Hongshuo Jin, Luqi Tao, Yi Yang, Deheng Ye, Yu Zhang, Tingting Zhu, Tianling Ren
2025	J	`jnl`	Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models. CoRR Zhifei Xie, Ziyang Ma, Zihang Liu, Kaiyu Pang, Hongyu Li, Jialin Zhang, Yue Liao, Deheng Ye, Chunyan Miao, Shuicheng Yan
2025	J	`jnl`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. CoRR Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	J	`jnl`	Multi-objective Large Language Model Alignment with Hierarchical Experts. CoRR Zhuo Li, Guodong Du, Weiyang Guo, Yigeng Zhou, Xiucheng Li, Wenya Wang, Fangming Liu, Yequan Wang, Deheng Ye, Min Zhang, Jing Li
2025	A*	`conf`	MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind. ACM Multimedia Zheng Zhang, Nuoqian Xiao, Qi Chai, Deheng Ye, Hao Wang
2025	J	`jnl`	MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind. CoRR Zheng Zhang, Nuoqian Xiao, Qi Chai, Deheng Ye, Hao Wang
2025	J	`jnl`	PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation. CoRR Zichuan Lin, Xiaokai Huang, Jiate Liu, Yuxuan Han, Jia Chen, Xiapeng Wu, Deheng Ye
2025	J	`jnl`	PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning. CoRR Shengjie Sun, Jiafei Lyu, Runze Liu, Mengbei Yan, Bo Liu, Deheng Ye, Xiu Li
2025	J	`jnl`	PhyCustom: Towards Realistic Physical Customization in Text-to-Image Generation. CoRR Fan Wu, Cheng Chen, Zhoujie Fu, Jiacheng Wei, Yi Xu, Deheng Ye, Guosheng Lin
2025	J	`jnl`	Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning. CoRR Ziyi Zhang, Li Shen, Deheng Ye, Yong Luo, Huangxuan Zhao, Lefei Zhang
2025	J	`jnl`	Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption. CoRR Longxiang He, Deheng Ye, Junbo Tan, Xueqian Wang, Li Shen
2025	J	`jnl`	SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization. CoRR Zhengcheng Wang, Zichuan Lin, Yijun Yang, Haobo Fu, Deheng Ye
2025	J	`jnl`	Think Consistently, Reason Efficiently: Energy-Based Calibration for Implicit Chain-of-Thought. CoRR Zhikang Chen, Sen Cui, Deheng Ye, Yu Zhang, Yatao Bian, Tingting Zhu
2025	A*	`conf`	VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft. EMNLP Honghao Fu, Junlong Ren, Qi Chai, Deheng Ye, Yujun Cai, Hao Wang
2025	J	`jnl`	VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft. CoRR Honghao Fu, Junlong Ren, Qi Chai, Deheng Ye, Yujun Cai, Hao Wang
2025	A*	`conf`	Vul-R2: A Reasoning LLM for Automated Vulnerability Repair. ASE Xin-Cheng Wen, Zirui Lin, Yijun Yang, Cuiyun Gao, Deheng Ye
2025	J	`jnl`	Vul-R2: A Reasoning LLM for Automated Vulnerability Repair. CoRR Xin-Cheng Wen, Zirui Lin, Yijun Yang, Cuiyun Gao, Deheng Ye
2025	J	`jnl`	WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
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`	A Survey on Self-play Methods in Reinforcement Learning. CoRR Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang
2024	J	`jnl`	Affordable Generative Agents. CoRR Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye
2024	J	`jnl`	Affordable Generative Agents. Trans. Mach. Learn. Res. Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye
2024	J	`jnl`	Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. CoRR Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao
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	—	`conf`	HGAttack: Transferable Heterogeneous Graph Adversarial Attack. ICA He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao
2024	J	`jnl`	HGAttack: Transferable Heterogeneous Graph Adversarial Attack. CoRR He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao
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`	Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2024	A*	`conf`	LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. EMNLP Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
2024	—	`conf`	Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu
2024	A*	`conf`	Learning Versatile Skills with Curriculum Masking. NeurIPS Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024	J	`jnl`	Learning Versatile Skills with Curriculum Masking. CoRR Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024	J	`jnl`	Master-Slave Deep Architecture for Top-K Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints. IEEE Trans. Neural Networks Learn. Syst. Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
2024	J	`jnl`	More Agents Is All You Need. CoRR Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye
2024	J	`jnl`	More Agents Is All You Need. Trans. Mach. Learn. Res. Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye
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`	Revisiting Discrete Soft Actor-Critic. Trans. Mach. Learn. Res. Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye
2024	J	`jnl`	WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. CoRR Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	J	`jnl`	Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
2023	J	`jnl`	Deploying Offline Reinforcement Learning with Human Feedback. CoRR Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
2023	A*	`conf`	Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
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`	LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. CoRR Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
2023	J	`jnl`	Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints. CoRR Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
2023	A*	`conf`	More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR Jiangxing Wang, Deheng Ye, Zongqing Lu
2023	A*	`conf`	Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS Jiangxing Wang, Deheng Ye, Zongqing Lu
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`	Replay-enhanced Continual Reinforcement Learning. CoRR Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
2023	J	`jnl`	Replay-enhanced Continual Reinforcement Learning. Trans. Mach. Learn. Res. Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
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`	SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
2023	J	`jnl`	SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
2022	J	`jnl`	Curriculum-based Asymmetric Multi-task Reinforcement Learning. CoRR Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
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	J	`jnl`	GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
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`	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	J	`jnl`	More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR Jiangxing Wang, Deheng Ye, Zongqing Lu
2022	J	`jnl`	Pretraining in Deep Reinforcement Learning: A Survey. CoRR Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
2022	J	`jnl`	Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
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	J	`jnl`	Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu
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
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	A*	`conf`	Coordinated Proximal Policy Optimization. NeurIPS Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
2021	J	`jnl`	Coordinated Proximal Policy Optimization. CoRR Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
2021	A*	`conf`	Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
2021	J	`jnl`	Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. CoRR Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu
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	J	`jnl`	TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. CoRR Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu
2021	—	`conf`	UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
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	A*	`conf`	Relation-Aware Transformer for Portfolio Policy Learning. IJCAI Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan
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	A*	`conf`	Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. IJCAI Jing Li, Deheng Ye, Shuo Shang
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`	APIReal: an API recognition and linking approach for online developer forums. Empir. Softw. Eng. Deheng Ye, Lingfeng Bao, Zhenchang Xing, Shang-Wei Lin
2017	B	`conf`	Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking. ICECCS Sa Gao, Zhenchang Xing, Yukun Ma, Deheng Ye, Shang-Wei Lin
2017	B	`conf`	Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. IJCNN Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria
2017	—	`—`	On domain knowledge organization and extraction in software engineering Deheng Ye
2017	J	`jnl`	The structure and dynamics of knowledge network in domain-specific Q&A sites: a case study of stack overflow. Empir. Softw. Eng. Deheng Ye, Zhenchang Xing, Nachiket Kapre
2016	Misc	`conf`	From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow. SAC Jing Li, Zhenchang Xing, Deheng Ye, Xuejiao Zhao
2016	A	`conf`	GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths. FPGA Nachiket Kapre, Deheng Ye
2016	A	`conf`	Learning to Extract API Mentions from Informal Natural Language Discussions. ICSME Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, Nachiket Kapre
2016	A*	`conf`	Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, Shanping Li
2016	A	`conf`	Software-Specific Named Entity Recognition in Software Engineering Social Content. SANER Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li, Nachiket Kapre
2016	Misc	`conf`	Software-specific part-of-speech tagging: an experimental study on stack overflow. SAC Deheng Ye, Zhenchang Xing, Jing Li, Nachiket Kapre
2015	A*	`conf`	ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang
2014	Misc	`conf`	MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. FCCM Deheng Ye, Nachiket Kapre