About

I am an undergraduate at Peking University, pursuing a dual degree in Mathematics and Computer Science. I expect to graduate in June 2027.

My research focuses on large language models, including agentic reasoning, reinforcement learning and post-training, safety alignment, and decoding for language diffusion models.

Outside research, I share course notes and small projects on my blog, and enjoy listening to JJ Lin.

News

  • 1 paper accepted by EMNLP 2026. Publication details
  • I joined Optiver as a quantitative trader intern.
  • We open-sourced SearchSwarm, a multi-agent framework for long-horizon deep research. GitHub
  • I joined the BaiLing Foundation Model Team at Ant Group as an LLM post-training research intern.
  • 1 paper accepted by ICML 2025 Workshop on Models of Human Feedback for AI Alignment. Publication details

Education

Peking University

Sep 2023 – Jun 2027 (expected)

Dual degree in Computer Science

School of Mathematical Sciences

Shanghai High School

Sep 2020 – Jun 2023

High school

Publications

* Equal contribution.

Advancing LLM Safe Alignment with Safety Representation Ranking

Tianqi Du*, Zeming Wei*, Quan Chen*, Chenheng Zhang, Yisen Wang

ICML 2025 Workshop: Models of Human Feedback for AI Alignment.

A safety-alignment method that ranks candidate responses using intermediate Transformer representations and a lightweight similarity scorer.

Awards

  • Exemplary Student LeaderPeking University
    2025
  • National ScholarshipPeking University
    2024
  • Outstanding StudentPeking University
    2024
  • Silver Medal, 37th Chinese Mathematical Olympiad (CMO)
    2021
  • First Prize, China Mathematical Olympiad, Shanghai Division
    2021, 2022
  • First Prize, National Olympiad in Informatics in ProvincesShanghai Senior High School Division
    2019

Service

President, Student Union

Mar 2025 – Mar 2026

School of Mathematical Sciences, Peking University

Head of External Relations, Student Union

Mar 2024 – Mar 2025

School of Mathematical Sciences, Peking University

Projects

SearchSwarm

2026

An open-source multi-agent framework for long-horizon deep research. Trains research agents to delegate subtasks and use compact, evidence-grounded reports for active context management.

LLM agents · Deep research · Supervised fine-tuning

Deep Reinforcement Learning for Chinese Official Mahjong

Dec 2025 – Jan 2026

Built an agent trained through behavior cloning and self-play PPO, with an asymmetric actor-critic model and IMPALA-style asynchronous training. Ranked 5th out of 28 teams in the final round of the Botzone competition.

Reinforcement learning · Self-play · Multi-process training

PKU Venue Booking

2025

Maintenance and updates to a campus venue-booking tool.

Python · Campus tools