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Deheng Ye

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
2020 · Deheng Ye, Zhao Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 338
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
2017 · Guibin Chen, Deheng Ye, et al. · International Joint Conference on Neural Networks (IJCNN) · 265
More Agents Is All You Need
2024 · Li, Junyou, Zhang, Qin, et al. · arXiv (Cornell University) · 253
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Predicting semantically linkable knowledge in developer online forums via convolutional neural network
2016 · Bowen Xu, Deheng Ye, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 146
Towards Playing Full MOBA Games with Deep Reinforcement Learning
2020 · Ye, Deheng, Chen, Guibin, et al. · arXiv (Cornell University) · 142
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Software-Specific Named Entity Recognition in Software Engineering Social Content
2016 · Deheng Ye, Zhenchang Xing, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 95
RLTF: Reinforcement Learning from Unit Test Feedback
2023 · Liu, Jiate, Zhu, Yiqin, et al. · arXiv (Cornell University) · 93
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LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
2024 · Yihuai Lan, Zhiqiang Hu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 66
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Relation-Aware Transformer for Portfolio Policy Learning
2020 · Ke Xu, Yifan Zhang, et al. · International Joint Conference on Artificial Intelligence · 65
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A Survey on Transformers in Reinforcement Learning
2023 · Li, Wenzhe, Luo, Hao, et al. · arXiv (Cornell University) · 64
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The structure and dynamics of knowledge network in domain-specific Q&A sites: a case study of stack overflow
2016 · Deheng Ye, Zhenchang Xing, et al. · Empirical Software Engineering · 60
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
2020 · Deheng Ye, Guibin Chen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 57
Don’t Do That! Hunting Down Visual Design Smells in Complex UIs Against Design Guidelines
2021 · Bo Yang, Zhenchang Xing, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 55
Learning to Extract API Mentions from Informal Natural Language Discussions
2016 · Deheng Ye, Zhenchang Xing, et al. · IEEE International Conference on Software Maintenance (ICSM) · 47
A Survey on Self-play Methods in Reinforcement Learning
2024 · Zhang, Ruize, Xu, Zelai, et al. · arXiv (Cornell University) · 45
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Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks
2019 · Jing Li, Deheng Ye, et al. · International Joint Conference on Artificial Intelligence · 38
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Coordinated Proximal Policy Optimization
2021 · Wu, Zifan, Yu, Chao, et al. · arXiv (Cornell University) · 33
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TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
2021 · Huang, Shiyu, Chen, Wenze, et al. · arXiv (Cornell University) · 32
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Pretraining in Deep Reinforcement Learning: A Survey
2022 · Xie, Zhihui, Lin, Zichuan, et al. · arXiv (Cornell University) · 31
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Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search
2021 · Sheng Chen, Menghui Zhu, et al. · IEEE Transactions on Games · 31
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Curriculum-Based Asymmetric Multi-Task Reinforcement Learning
2022 · Hanchi Huang, Deheng Ye, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 28
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Revisiting Discrete Soft Actor-Critic
2022 · Zhou, Haibin, Wei, Tong, et al. · arXiv (Cornell University) · 28
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Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization
2021 · Sun, Jiamou, Xing, Zhenchang, et al. · arXiv (Cornell University) · 27
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WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
2024 · Zhou, Siyu, Zhou, Tianyi, et al. · arXiv (Cornell University) · 26
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MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
2021 · Menghui Zhu, Minghuan Liu, et al. · International Joint Conference on Artificial Intelligence · 25
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Works count: 110
Citation count: 2,611
H-index: 25
I10-index: 47
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