Deheng Ye

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 73

Top Topics

Policy Iteration

Reinforcement Learning

Natural Language

Top Venues

Trans. Mach. Learn. Res.

Publications

Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) (2024)
Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR (2024)
Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye
More Agents Is All You Need. CoRR (2024)
Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye
Affordable Generative Agents. CoRR (2024)
Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination. CoRR (2024)
He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao
HGAttack: Transferable Heterogeneous Graph Adversarial Attack. CoRR (2024)
Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
Replay-enhanced Continual Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
RLTF: Reinforcement Learning from Unit Test Feedback. CoRR (2023)
Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR (2023)
Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE (2023)
Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. CoRR (2023)
Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS (2023)
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. CoRR (2023)
Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye
RLTF: Reinforcement Learning from Unit Test Feedback. Trans. Mach. Learn. Res. 2023 (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR (2023)
Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints. CoRR (2023)
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML (2023)
Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR (2023)
Jiangxing Wang, Deheng Ye, Zongqing Lu
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS (2023)
Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI (2023)
Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
Replay-enhanced Continual Reinforcement Learning. CoRR (2023)
Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
Deploying Offline Reinforcement Learning with Human Feedback. CoRR (2023)
Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Jiangxing Wang, Deheng Ye, Zongqing Lu
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR (2023)
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI (2022)
Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR (2022)
Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR (2022)
Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
Curriculum-based Asymmetric Multi-task Reinforcement Learning. CoRR (2022)
Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR (2022)
Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
Pretraining in Deep Reinforcement Learning: A Survey. CoRR (2022)
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
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR (2022)
Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR (2022)
Jiangxing Wang, Deheng Ye, Zongqing Lu
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR (2022)
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
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR (2022)
Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR (2022)
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
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
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
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS (2022)
Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang
Revisiting Discrete Soft Actor-Critic. CoRR (2022)
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
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. CoRR (2021)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI (2021)
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
Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR (2021)
Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) (2021)
Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE (2021)
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
Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS (2021)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI (2021)
Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games 13 (4) (2021)
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR (2021)
Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. CoRR (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. NeurIPS (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. CoRR (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR (2021)
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
Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS (2020)
Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI (2020)
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
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI (2020)
Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR (2020)
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
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR (2020)
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
Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR (2020)
Jing Li, Deheng Ye, Shuo Shang
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. IJCAI (2019)
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
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR (2019)
Deheng Ye, Lingfeng Bao, Zhenchang Xing, Shang-Wei Lin
APIReal: an API recognition and linking approach for online developer forums. Empir. Softw. Eng. 23 (6) (2018)
Sa Gao, Zhenchang Xing, Yukun Ma, Deheng Ye, Shang-Wei Lin
Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking. ICECCS (2017)
Deheng Ye, Zhenchang Xing, Nachiket Kapre
The structure and dynamics of knowledge network in domain-specific Q&A sites: a case study of stack overflow. Empir. Softw. Eng. 22 (1) (2017)
Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. IJCNN (2017)
Deheng Ye, Zhenchang Xing, Jing Li, Nachiket Kapre
Software-specific part-of-speech tagging: an experimental study on stack overflow. SAC (2016)
Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, Nachiket Kapre
Learning to Extract API Mentions from Informal Natural Language Discussions. ICSME (2016)
Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li, Nachiket Kapre
Software-Specific Named Entity Recognition in Software Engineering Social Content. SANER (2016)
Jing Li, Zhenchang Xing, Deheng Ye, Xuejiao Zhao
From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow. SAC (2016)
Nachiket Kapre, Deheng Ye
GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths. FPGA (2016)
Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, Shanping Li
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE (2016)
Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang
ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE (2015)
Deheng Ye, Nachiket Kapre
MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. FCCM (2014)