MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. - Deheng Ye; Nachiket Kapre (FCCM, 2014)

ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. - Lingfeng Bao; Deheng Ye; Zhenchang Xing; Xin Xia 001; Xinyu Wang 001 (ASE, 2015)

GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths. - Nachiket Kapre; Deheng Ye (FPGA, 2016)

Learning to Extract API Mentions from Informal Natural Language Discussions. - Deheng Ye; Zhenchang Xing; Chee Yong Foo; Jing Li 034; Nachiket Kapre (ICSME, 2016)

Predicting semantically linkable knowledge in developer online forums via convolutional neural network. - Bowen Xu; Deheng Ye; Zhenchang Xing; Xin Xia 001; Guibin Chen; Shanping Li (ASE, 2016)

From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow. - Jing Li 034; Zhenchang Xing; Deheng Ye; Xuejiao Zhao (SAC, 2016)

Software-specific part-of-speech tagging: an experimental study on stack overflow. - Deheng Ye; Zhenchang Xing; Jing Li 034; Nachiket Kapre (SAC, 2016)

Software-Specific Named Entity Recognition in Software Engineering Social Content. - Deheng Ye; Zhenchang Xing; Chee Yong Foo; Zi Qun Ang; Jing Li 034; Nachiket Kapre (SANER, 2016)

Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking. - Sa Gao; Zhenchang Xing; Yukun Ma; Deheng Ye; Shang-Wei Lin 001 (ICECCS, 2017)

Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. - Guibin Chen; Deheng Ye; Zhenchang Xing; Jieshan Chen; Erik Cambria (IJCNN, 2017)

The structure and dynamics of knowledge network in domain-specific Q&A sites: a case study of stack overflow. - Deheng Ye; Zhenchang Xing; Nachiket Kapre (Empir. Softw. Eng., 2017)

On domain knowledge organization and extraction in software engineering - Deheng Ye (2017)

APIReal: an API recognition and linking approach for online developer forums. - Deheng Ye; Lingfeng Bao; Zhenchang Xing; Shang-Wei Lin 001 (Empir. Softw. Eng., 2018)

Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. - Jing Li 034; Deheng Ye; Shuo Shang (IJCAI, 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)

Relation-Aware Transformer for Portfolio Policy Learning. - Ke Xu; Yifan Zhang 004; Deheng Ye; Peilin Zhao; Mingkui Tan (IJCAI, 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)

Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. - Bo Yang; Zhenchang Xing; Xin Xia 001; Chunyang Chen 001; Deheng Ye; Shanping Li (ICSE, 2021)

UIS-Hunter: Detecting UI Design Smells in Android Apps. - Bo Yang; Zhenchang Xing; Xin Xia 001; Chunyang Chen 001; Deheng Ye; Shanping Li (ICSE (Companion Volume), 2021)

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)

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)

Coordinated Proximal Policy Optimization. - Zifan Wu; Chao Yu 004; Deheng Ye; Junge Zhang; Haiyin Piao; Hankz Hankui Zhuo (NeurIPS, 2021)

Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. - Jiamou Sun; Zhenchang Xing; Hao Guo; Deheng Ye; Xiaohong Li 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2021)

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. - Shiyu Huang 001; Wenze Chen; Longfei Zhang; Ziyang Li; Fengming Zhu; Deheng Ye; Ting Chen 006; Jun Zhu 001 (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)

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)

GPN: A Joint Structural Learning Framework for Graph Neural Networks. - Qianggang Ding; Deheng Ye; Tingyang Xu; Peilin Zhao (CoRR, 2022)

Quantized Adaptive Subgradient Algorithms and Their Applications. - Ke Xu; Jianqiao Wangni; Yifan Zhang 004; Deheng Ye; Jiaxiang Wu 001; Peilin Zhao (CoRR, 2022)

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

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. - Chengqian Gao; Ke Xu; Liu Liu 014; Deheng Ye; Peilin Zhao; Zhiqiang Xu 003 (CoRR, 2022)

Curriculum-based Asymmetric Multi-task Reinforcement Learning. - Hanchi Huang; Deheng Ye; Li Shen 005; Wei Liu 005 (CoRR, 2022)

Pretraining in Deep Reinforcement Learning: A Survey. - Zhihui Xie 002; Zichuan Lin; Junyou Li; Shuai Li 010; Deheng Ye (CoRR, 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)

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)

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. - Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (ICLR, 2023)

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

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. - Dehai Zhao; Zhenchang Xing; Xin Xia 001; Deheng Ye; Xiwei Xu 001; Liming Zhu 001 (ICSE, 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)

Mutual-Information Regularized Multi-Agent Policy Iteration. - Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (NeurIPS, 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)

Deploying Offline Reinforcement Learning with Human Feedback. - Ziniu Li; Ke Xu; Liu Liu 014; Lanqing Li; Deheng Ye; Peilin Zhao (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)

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints. - Hanchi Huang; Li Shen 008; Deheng Ye; Wei Liu 005 (CoRR, 2023)

Replay-enhanced Continual Reinforcement Learning. - Tiantian Zhang 002; Kevin Z. Shen; Zichuan Lin; Bo Yuan 003; Xueqian Wang 001; Xiu Li 001; Deheng Ye (Trans. Mach. Learn. Res., 2023)

A Survey on Transformers in Reinforcement Learning. - Wenzhe Li; Hao Luo 011; Zichuan Lin; Chongjie Zhang; Zongqing Lu 002; Deheng Ye (Trans. Mach. Learn. Res., 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)

Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. - Hanchi Huang; Deheng Ye; Li Shen 008; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Language Model Adaption for Reinforcement Learning with Natural Language Action Space. - Jiangxing Wang; Jiachen Li; Xiao Han; Deheng Ye; Zongqing Lu 002 (ACL (1), 2024)

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. - Yihuai Lan; Zhiqiang Hu; Lei Wang 185; Yang Wang 015; Deheng Ye; Peilin Zhao; Ee-Peng Lim; Hui Xiong 001; Hao Wang 094 (EMNLP, 2024)

HGAttack: Transferable Heterogeneous Graph Adversarial Attack. - He Zhao; Zhiwei Zeng; Yongwei Wang; Deheng Ye; Chunyan Miao (ICA, 2024)

Learning Versatile Skills with Curriculum Masking. - Yao Tang; Zhihui Xie 002; Zichuan Lin; Deheng Ye; Shuai Li 010 (NeurIPS, 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)

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. - Fuxiang Zhang; Junyou Li; Yi-Chen Li 001; Zongzhang Zhang; Yang Yu 001; Deheng Ye (CoRR, 2024)

A Survey on Self-play Methods in Reinforcement Learning. - Ruize Zhang 001; Zelai Xu; Chengdong Ma; Chao Yu 005; Wei-Wei Tu; Shiyu Huang 001; Deheng Ye; Wenbo Ding 001; Yaodong Yang 001; Yu Wang 002 (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)

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. - Ziyi Zhang 001; Li Shen 008; Sen Zhang 006; Deheng Ye; Yong Luo 002; Miaojing Shi; Bo Du 001; Dacheng Tao (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)

More Agents Is All You Need. - Junyou Li; Qin Zhang; Yangbin Yu; Qiang Fu 016; Deheng Ye (Trans. Mach. Learn. Res., 2024)

Affordable Generative Agents. - Yangbin Yu; Qin Zhang; Junyou Li; Qiang Fu 016; Deheng Ye (Trans. Mach. Learn. Res., 2024)

Revisiting Discrete Soft Actor-Critic. - Haibin Zhou; Tong Wei; Zichuan Lin; Junyou Li; Junliang Xing; Yuanchun Shi; Li Shen 008; Chao Yu 004; Deheng Ye (Trans. Mach. Learn. Res., 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)

Master-Slave Deep Architecture for Top-K Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints. - Hanchi Huang; Li Shen 008; Deheng Ye; Wei Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. - Xin-Cheng Wen; Yijun Yang; Cuiyun Gao; Yang Xiao; Deheng Ye (ACL (Findings), 2025)

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. - Jiafei Lyu; Mengbei Yan; Zhongjian Qiao; Runze Liu 002; Xiaoteng Ma; Deheng Ye; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICLR, 2025)

CORD: Generalizable Cooperation via Role Diversity. - Kanefumi Matsuyama; Kefan Su; Jiangxing Wang; Deheng Ye; Zongqing Lu 002 (CoRR, 2025)

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training. - Tong Wei; Yijun Yang; Junliang Xing; Yuanchun Shi; Zongqing Lu 002; Deheng Ye (CoRR, 2025)

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind. - Zheng Zhang; Nuoqian Xiao; Qi Chai; Deheng Ye; Hao Wang (CoRR, 2025)

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning. - Ziyi Zhang 001; Li Shen 008; Deheng Ye; Yong Luo 002; Huangxuan Zhao; Lefei Zhang (CoRR, 2025)

Multi-objective Large Language Model Alignment with Hierarchical Experts. - Zhuo Li; Guodong Du 002; Weiyang Guo; Yigeng Zhou; Xiucheng Li; Wenya Wang; Fangming Liu; Yequan Wang; Deheng Ye; Min Zhang 005; Jing Li 034 (CoRR, 2025)

Enhancing Jailbreak Attacks on LLMs via Persona Prompts. - Zheng Zhang; Peilin Zhao; Deheng Ye; Hao Wang (CoRR, 2025)

Yan: Foundational Interactive Video Generation. - Deheng Ye; Fangyun Zhou; Jiacheng Lv; Jianqi Ma; Jun Zhang; Junyan Lv; Junyou Li; Minwen Deng; Mingyu Yang; Qiang Fu; Wei Yang; Wenkai Lv; et al. (CoRR, 2025)

Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning. - Mengyuan Liu; Xinshun Wang; Zhongbin Fang; Deheng Ye; Xia Li 005; Tao Tang; Songtao Wu; Xiangtai Li; Ming-Hsuan Yang 001 (CoRR, 2025)

Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models. - Zhifei Xie; Ziyang Ma; Zihang Liu; Kaiyu Pang; Hongyu Li; Jialin Zhang; Yue Liao; Deheng Ye; Chunyan Miao; Shuicheng Yan (CoRR, 2025)