 |
陈若桐
Ruotong Chen
1st year M.Sc. Student
LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University
email: chenrt at lamda.nju.edu.cn |
|
Currently I am a 1st year M.Sc. student of School of Artificial Intelligence in
Nanjing University advised
by Prof. Chao Qian and a member of
LAMDA Group, led by Prof. Zhi-Hua Zhou.
EditBiography
Sep 2025 - Now : M.Sc. candidate in Computer Science, School of Artificial Intelligence,
Nanjing University.
Sep 2021 - Jun 2025 : B.Sc. in Computer Science, School of Artificial Intelligence,
Nanjing University.
Edit
Research Interest
I am interested in Reinforcement Learning and AI4EDA, with a focus on Physical Design.
EditPublications
-
Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou.
How Can Reinforcement Learning Achieve Expert-level Placement?
In: Proceedings of the 63rd ACM/IEEE Design Automation Conference (DAC'26) (CCF-A), Long Beach, CA, 2026.
-
Peng Xie, Ke Xue, Yunqi Shi, Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Chenjian Ding, Mingxuan Yuan, and Chao Qian.
FlowPlace: Flow Matching for Chip Placement.
In: Proceedings of the 63rd ACM/IEEE Design Automation Conference (DAC'26) (CCF-A), Long Beach, CA, 2026.
-
Chengrui Gao, Yunqi Shi, Ke Xue, Ruo-Tong Chen, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou.
Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement.
In: Proceedings of the 14th International Conference on Learning Representations (ICLR'26) (CCF-A), Rio de Janeiro, Brazil, 2026.
-
Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou.
Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization.
In: Proceedings of 2026 Design, Automation & Test in Europe Conference & Exhibition (DATE'26) (CCF-B), Verona, Italy, 2026.
-
Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, and Zhi-Hua Zhou.
Dynamic Algorithm Configuration for Global Placement.
In: Proceedings of 2026 Design, Automation & Test in Europe Conference & Exhibition (DATE'26) (CCF-B), Verona, Italy, 2026.
-
Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, and Chao Qian.
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer.
In: Advances in Neural Information Processing Systems (NeurIPS'24) (CCF-A), Vancouver, Canada, 2024.
[PDF]
[Code]
-
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, and Lei Yuan.
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'24) (CCF-A), Jeju, Korea, 2024.
[PDF]
[Code]
EditAwards and Experiences
2025 : Excellent Graduate;
2025 : Excellent Undergraduate Thesis;
2024 : Ruli Scholarship;
2023 : Academic Research (Competition) Star Scholarship;
2023 : Renmin Scholarship;
2022 : China Undergraduate Mathematical Contest in Modeling, Second Price, (Ruotong Chen, Hongjie You, Rongxi tan);
2022 : Tencent Scholarship.
Contact:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia
District, Nanjing 210023, China
(南京市栖霞区仙林大道163号，南京大学仙林校区603信箱，软件新技术国家重点实验室，210023)