Lau Luk Peter, Chen
Logo Department of Mathematics, Columbia University

I do theoretical-grounded LLM post training, via optimization theory and reinforcement learning to advance LLM reasoning and alignment. Apart from that, I enjoy doing optimal transport and geometry processing.

I am an undergradute student from Columbia, advised by Prof. Andrew Blumberg and Prof. Tianyi Lin. I am now working closely with Prof. Mengdi Wang and her group in Princeton.


Education
  • Columbia College, Columbia University
    Columbia College, Columbia University
    B.A. in Mathematics, Computer Science
    May. 2026
Experience
  • Princeton University
    Princeton University
    Research Intern; Hosted by Mengdi Wang
    Feb. 2025
  • HKU Musketeers Foundation Institute of Data Science
    HKU Musketeers Foundation Institute of Data Science
    Research Intern; Hosted by Yue Xie, Qingpeng Zhang
    May. 2024
Teaching & Service
  • TA for Analysis & Optimization (Sp 24/Fa 24/Sp 25/Fa 25/Sp 26)
  • Reviewer for NeurIPS, ICLR, ICML, AAAI
Selected Publications (view all )
ComPO: Preference Alignment via Comparison Oracles
ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

Exploration v.s. Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
Exploration v.s. Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Learning Representations (ICLR 2026)

Exploration v.s. Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Learning Representations (ICLR 2026)

3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence

Peter Chen, Bryan Chang, Olivia Annette Creasey, Julie Beth Sneddon, Zev Gartner, Yining Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)

3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence

Peter Chen, Bryan Chang, Olivia Annette Creasey, Julie Beth Sneddon, Zev Gartner, Yining Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)

All publications