| 2026 | AAAI | Multi-agent In-context Coordination via Decentralized Memory Retrieval. | Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye |
| 2026 | ACL | The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games. | Zheng Zhang, Deheng Ye, Peilin Zhao, Hao Wang |
| 2025 | ACL | Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. | Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, Yang Xiao, Deheng Ye |
| 2025 | EMNLP | CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks. | Qi Chai, Zheng Zhang, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang |
| 2025 | EMNLP | VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft. | Honghao Fu, Junlong Ren, Qi Chai, Deheng Ye, Yujun Cai, Hao Wang |
| 2025 | ICCV | GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training. | Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye |
| 2025 | ICLR | Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. | Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li |
| 2025 | ICML | Ad Hoc Teamwork via Offline Goal-Based Decision Transformers. | Xinzhi Zhang, Hohei Chan, Deheng Ye, Yi Cai, Mengchen Zhao |
| 2025 | ICML | Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making. | Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao |
| 2024 | ACL | Language Model Adaption for Reinforcement Learning with Natural Language Action Space. | Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu |
| 2024 | EMNLP | LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. | Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang |
| 2023 | AAAI | RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. | Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang |
| 2023 | ICLR | More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. | Jiangxing Wang, Deheng Ye, Zongqing Lu |
| 2023 | ICML | Future-conditioned Unsupervised Pretraining for Decision Transformer. | Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li |
| 2023 | ICSE | SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. | Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu |
| 2022 | IJCAI | JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. | Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang |
| 2021 | IJCAI | Boosting Offline Reinforcement Learning with Residual Generative Modeling. | Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li |
| 2021 | IJCAI | MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. | Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang |
| 2021 | ICSE | Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. | Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li |
| 2021 | ICSE | UIS-Hunter: Detecting UI Design Smells in Android Apps. | Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li |
| 2020 | AAAI | Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. | 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 | IJCAI | Relation-Aware Transformer for Portfolio Policy Learning. | Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan |
| 2019 | IJCAI | Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. | Jing Li, Deheng Ye, Shuo Shang |
| 2017 | ICECCS | Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking. | Sa Gao, Zhenchang Xing, Yukun Ma, Deheng Ye, Shang-Wei Lin |
| 2017 | IJCNN | Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. | Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria |
| 2016 | FPGA | GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths. | Nachiket Kapre, Deheng Ye |
| 2016 | SAC | From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow. | Jing Li, Zhenchang Xing, Deheng Ye, Xuejiao Zhao |
| 2016 | SAC | Software-specific part-of-speech tagging: an experimental study on stack overflow. | Deheng Ye, Zhenchang Xing, Jing Li, Nachiket Kapre |
| 2014 | FCCM | MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. | Deheng Ye, Nachiket Kapre |