Deheng Ye

According to our database, Deheng Ye authored at least 62 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.

Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents.

Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

CoRR, 2024

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

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

CoRR, 2024

A Survey on Self-play Methods in Reinforcement Learning.

Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang

CoRR, 2024

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models.

Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye

CoRR, 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, Wei Yang

CoRR, 2024

More Agents Is All You Need.

Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye

CoRR, 2024

Affordable Generative Agents.

Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye

CoRR, 2024

HGAttack: Transferable Heterogeneous Graph Adversarial Attack.

He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao

CoRR, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Model Adaption for Reinforcement Learning with Natural Language Action Space.

Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Curriculum-Based Asymmetric Multi-Task Reinforcement Learning.

Hanchi Huang, Deheng Ye, Li Shen, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

RLTF: Reinforcement Learning from Unit Test Feedback.

Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye

Trans. Mach. Learn. Res., 2023

A Survey on Transformers in Reinforcement Learning.

Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

Trans. Mach. Learn. Res., 2023

Replay-enhanced Continual Reinforcement Learning.

Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye

Trans. Mach. Learn. Res., 2023

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints.

Hanchi Huang, Li Shen, Deheng Ye, Wei Liu

CoRR, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li

CoRR, 2023

Deploying Offline Reinforcement Learning with Human Feedback.

Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao

CoRR, 2023

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization.

Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu

CoRR, 2023

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning.

Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun

CoRR, 2023

Mutual-Information Regularized Multi-Agent Policy Iteration.

Jiangxing Wang, Deheng Ye, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics.

Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

Proceedings of the International Conference on Machine Learning, 2023

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization.

Jiangxing Wang, Deheng Ye, Zongqing Lu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, 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

IEEE Trans. Neural Networks Learn. Syst., 2022

Pretraining in Deep Reinforcement Learning: A Survey.

Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye

CoRR, 2022

Curriculum-based Asymmetric Multi-task Reinforcement Learning.

Hanchi Huang, Deheng Ye, Li Shen, Wei Liu

CoRR, 2022

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation.

Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu

CoRR, 2022

Revisiting Discrete Soft Actor-Critic.

Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang

CoRR, 2022

Quantized Adaptive Subgradient Algorithms and Their Applications.

Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao

CoRR, 2022

GPN: A Joint Structural Learning Framework for Graph Neural Networks.

Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao

CoRR, 2022

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.

Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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, Qiang Fu, Wei Yang

IEEE Trans. Games, 2021

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations.

Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu

CoRR, 2021

Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization.

Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu

CoRR, 2021

Coordinated Proximal Policy Optimization.

Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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, 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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Learning Diverse Policies in MOBA Games via Macro-Goals.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling.

Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

UIS-Hunter: Detecting UI Design Smells in Android Apps.

Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Relation-Aware Transformer for Portfolio Policy Learning.

Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks.

Jing Li, Deheng Ye, Shuo Shang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

APIReal: an API recognition and linking approach for online developer forums.

Deheng Ye, Lingfeng Bao, Zhenchang Xing, Shang-Wei Lin

Empir. Softw. Eng., 2018

2017

On domain knowledge organization and extraction in software engineering

Deheng Ye

PhD thesis, 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

Ensemble application of convolutional and recurrent neural networks for multi-label text categorization.

Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking.

Sa Gao, Zhenchang Xing, Yukun Ma, Deheng Ye, Shang-Wei Lin

Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

2016

Software-Specific Named Entity Recognition in Software Engineering Social Content.

Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li, Nachiket Kapre

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Software-specific part-of-speech tagging: an experimental study on stack overflow.

Deheng Ye, Zhenchang Xing, Jing Li, Nachiket Kapre

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

From discussion to wisdom: web resource recommendation for hyperlinks in stack overflow.

Jing Li, Zhenchang Xing, Deheng Ye, Xuejiao Zhao

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Predicting semantically linkable knowledge in developer online forums via convolutional neural network.

Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, Shanping Li

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Learning to Extract API Mentions from Informal Natural Language Discussions.

Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, Nachiket Kapre

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

GPU-Accelerated High-Level Synthesis for Bitwidth Optimization of FPGA Datapaths.

Nachiket Kapre, Deheng Ye

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs.

Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

2014

MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations.

Deheng Ye, Nachiket Kapre

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014