Nan Tang @ LAMDA, NJU-AI

汤楠 Nan Tang M.Sc. Student, LAMDA Group School of Artificial Intelligence Nanjing University, Nanjing 210023, China Supervisor: Professor Yang Yu Email: tangn@lamda.nju.edu.cn

Biography

Currently I am a first year Ph.d student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou. I got my B.Sc. degree in Kuang Yaming Honors School in June 2022 from Nanjing University, majored in statistics. In the same year, I was admitted to pursue my master degree in Nanjing University without entrance examination.

My research interests include Embodied AI for Robotics, Learning from Demonstrations and World Model.

Conference Paper

Jingcheng Pang*, Nan Tang* , Kaiyuan Li, Yang Yu. Learning View-invariant World Models for Visual Robotic Manipulation, In: Proceedings of the 13th International Conference on Learning Representations (ICLR'25) , Singapore, 2025. [paper] [code]

Projects and Contests

1. Lead a quant project for market-trend prediction and trading-policy training:

• Utilize history k-line data to build a world model for future market-trend prediction;
• Train a RL trading-policy with the predicted trend;
• Achieved profits in both simulated and live trading backtests.

2. Achieve 4th place in the in the RL-Quant Contest organized by Kafang.

Correspondence

Email: tangn@lamda.nju.edu.cn

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China