Renye Yan

According to our database, Renye Yan authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Preference-Driven Methodology for Efficient Code Generation.

Yuqi Li, Zijie Zhou, Zhiyuan Peng, Junhao Dong, Haochen You, Renye Yan, Shiping Wen, Yingli Tian, Tingwen Huang

IEEE Trans. Artif. Intell., June, 2026

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?

Renye Yan, Jikang Cheng, Shikun Sun, Yi Sun, You Wu, Wei Peng, Zongwei Wang, Ling Liang, Junliang Xing, Yimao Cai

CoRR, May, 2026

CHIP-MAP: A Collaborative Optimization Framework for Macro Placement Using Large Language Models.

Yiming Du, Renye Yan, Yunfan Yang, Frank Qu, Jiajun Tan, ZhiYu Zheng, Yiming Gan, Ling Liang, Zongwei Wang, Yimao Cai

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World.

Jikang Cheng, Renye Yan, Zhiyuan Yan, Yaozhong Gan, Xueyi Zhang, Zhongyuan Wang, Wei Peng, Ling Liang

CoRR, December, 2025

When Generative Replay Meets Evolving Deepfakes: Domain-Aware Relative Weighting for Incremental Face Forgery Detection.

Hao Shen, Jikang Cheng, Renye Yan, Zhongyuan Wang, Wei Peng, Baojin Huang

CoRR, November, 2025

Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment.

Renye Yan, Jikang Cheng, Yaozhong Gan, Shikun Sun, You Wu, Yunfan Yang, Ling Liang, Jinlong Lin, Yeshuang Zhu, Jie Zhou, Jinchao Zhang, Junliang Xing, Yimao Cai, Ru Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning.

Renye Yan, Yaozhong Gan, You Wu, Junliang Xing, Ling Liang, Yeshang Zhu, Yimao Cai

CoRR, 2024

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs.

Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang

CoRR, 2024

The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective.

Renye Yan, Yaozhong Gan, You Wu, Ling Liang, Junliang Xing, Yimao Cai, Ru Huang

CoRR, 2024

Transductive Off-policy Proximal Policy Optimization.

Yaozhong Gan, Renye Yan, Xiaoyang Tan, Zhe Wu, Junliang Xing

CoRR, 2024

Autoencoder Reconstruction Model for Long-Horizon Exploration.

Renye Yan, You Wu, Yaozhong Gan, Yunfan Yang, Zhaoke Yu, Zongxi Liu, Xin Zhang, Ling Liang, Yimao Cai

Proceedings of the International Joint Conference on Neural Networks, 2024

Absorb What You Need: Accelerating Exploration via Valuable Knowledge Extraction.

You Wu, Zhe Wu, Renye Yan, Pin Tao, Junliang Xing

Proceedings of the International Joint Conference on Neural Networks, 2024

Reflective Policy Optimization.

Yaozhong Gan, Renye Yan, Zhe Wu, Junliang Xing

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration.

Zhe Wu, Haofei Lu, Junliang Xing, You Wu, Renye Yan, Yaozhong Gan, Yuanchun Shi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning.

Renye Yan, Zhe Wu, Yuan Zhan, Pin Tao, Zongwei Wang, Yimao Cai, Junliang Xing

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning.

Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation.

Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing

Proceedings of the International Joint Conference on Neural Networks, 2021