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2020 – today
- 2024
- [j10]Tiantian Zhang
, Zichuan Lin, Yuxing Wang, Deheng Ye
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14588-14602 (2024) - [j9]Hanchi Huang
Master-Slave Deep Architecture for Top-K Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17608-17619 (2024) - [c32]Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu:
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) 2024: 1620-1634 - [c31]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. EMNLP 2024: 128-145 - [c30]He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao:
HGAttack: Transferable Heterogeneous Graph Adversarial Attack. ICA 2024: 100-105 - [i43]He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao:
HGAttack: Transferable Heterogeneous Graph Adversarial Attack. CoRR abs/2401.09945 (2024) - [i42]Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye:
Affordable Generative Agents. CoRR abs/2402.02053 (2024) - [i41]Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye:
More Agents Is All You Need. CoRR abs/2402.05120 (2024) - [i40]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 abs/2403.03172 (2024) - [i39]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 abs/2407.03964 (2024) - [i38]Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang:
A Survey on Self-play Methods in Reinforcement Learning. CoRR abs/2408.01072 (2024) - [i37]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:
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR abs/2408.10556 (2024) - [i36]Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang:
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. CoRR abs/2410.07484 (2024) - [i35]Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li:
Learning Versatile Skills with Curriculum Masking. CoRR abs/2410.17744 (2024) - [i34]Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao:
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. CoRR abs/2411.11727 (2024) - [i33]Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye:
Playable Game Generation. CoRR abs/2412.00887 (2024) - 2023
- [j8]Hanchi Huang
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7258-7269 (2023) - [j7]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) - [j6]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) - [j5]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) - [c29]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: 3570-3578 - [c28]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR 2023 - [c27]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML 2023: 38187-38203 - [c26]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: 1946-1957 - [c25]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:
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS 2023 - [c24]Jiangxing Wang, Deheng Ye, Zongqing Lu:
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS 2023 - [i32]Wenzhe Li, Hao Luo
A Survey on Transformers in Reinforcement Learning. CoRR abs/2301.03044 (2023) - [i31]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 abs/2301.08442 (2023) - [i30]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 abs/2302.02299 (2023) - [i29]Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao:
Deploying Offline Reinforcement Learning with Human Feedback. CoRR abs/2303.07046 (2023) - [i28]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023) - [i27]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR abs/2305.16683 (2023) - [i26]Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye:
RLTF: Reinforcement Learning from Unit Test Feedback. CoRR abs/2307.04349 (2023) - [i25]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 abs/2308.12680 (2023) - [i24]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 abs/2310.14985 (2023) - [i23]Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye:
Replay-enhanced Continual Reinforcement Learning. CoRR abs/2311.11557 (2023) - 2022
- [j4]Deheng Ye
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33(3): 908-918 (2022) - [c23]Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI 2022: 3257-3263 - [c22]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 - [i22]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 abs/2202.10583 (2022) - [i21]Qianggang Ding, Deheng Ye, Tingyang Xu
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR abs/2205.05964 (2022) - [i20]Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao:
Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR abs/2208.05631 (2022) - [i19]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 abs/2209.00347 (2022) - [i18]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 abs/2209.08483 (2022) - [i17]Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang:
Revisiting Discrete Soft Actor-Critic. CoRR abs/2209.10081 (2022) - [i16]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR abs/2209.12681 (2022) - [i15]Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu:
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR abs/2210.10469 (2022) - [i14]Hanchi Huang, Deheng Ye, Li Shen, Wei Liu:
Curriculum-based Asymmetric Multi-task Reinforcement Learning. CoRR abs/2211.03352 (2022) - [i13]Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye:
Pretraining in Deep Reinforcement Learning: A Survey. CoRR abs/2211.03959 (2022) - [i12]Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR abs/2212.01737 (2022) - 2021
- [j3]Sheng Chen
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games 13(4): 410-421 (2021) - [c21]Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen
UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) 2021: 89-92 - [c20]Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen
Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE 2021: 761-772 - [c19]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: 3484-3491 - [c18]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: 3574-3580 - [c17]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: 13-28 - [c16]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: 16171-16182 - [c15]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. NeurIPS 2021: 26437-26448 - [i11]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 abs/2101.01431 (2021) - [i10]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 abs/2105.06350 (2021) - [i9]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 abs/2106.10411 (2021) - [i8]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 abs/2110.04507 (2021) - [i7]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 abs/2110.14221 (2021) - [i6]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. CoRR abs/2111.04051 (2021) - [i5]Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR abs/2112.04907 (2021) - 2020
- [c14]Deheng Ye, Zhao Liu, Mingfei Sun
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [c13]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [c12]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 - [i4]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 abs/2011.12582 (2020) - [i3]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 abs/2011.12692 (2020) - [i2]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 abs/2012.10171 (2020)
2010 – 2019
- 2019
- [c11]Jing Li, Deheng Ye, Shuo Shang:
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. IJCAI 2019: 5053-5059 - [i1]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 abs/1912.09729 (2019) - 2018
- [j2]Deheng Ye, Lingfeng Bao
APIReal: an API recognition and linking approach for online developer forums. Empir. Softw. Eng. 23(6): 3129-3160 (2018) - 2017
- [b1]Deheng Ye:
On domain knowledge organization and extraction in software engineering. Nanyang Technological University, Singapore, 2017 - [j1]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): 375-406 (2017) - [c10]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: 90-99 - [c9]Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. IJCNN 2017: 2377-2383 - 2016
- [c8]Nachiket Kapre, Deheng Ye:
GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths. FPGA 2016: 185-194 - [c7]Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, Nachiket Kapre:
Learning to Extract API Mentions from Informal Natural Language Discussions. ICSME 2016: 389-399 - [c6]Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE 2016: 51-62 - [c5]Jing Li, Zhenchang Xing, Deheng Ye, Xuejiao Zhao:
From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow. SAC 2016: 1127-1133 - [c4]Deheng Ye, Zhenchang Xing, Jing Li, Nachiket Kapre:
Software-specific part-of-speech tagging: an experimental study on stack overflow. SAC 2016: 1378-1385 - [c3]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: 90-101 - 2015
- [c2]Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia
ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE 2015: 864-869 - 2014
- [c1]Deheng Ye, Nachiket Kapre:
MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. FCCM 2014: 206-209
Coauthor Index
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