About

I am HE ZHU (朱赫), an M.Phil. student in Smart City and Big Data at Peking University, advised by Prof. Wenjia Zhang and Prof. Guanhua Chen. I previously received my B.E. in Computer Science from the Southern University of Science and Technology, where I was advised by Prof. Xuan Song. My research centers on large language models for urban intelligence, focusing on instruction data synthesis, supervised fine-tuning (SFT) mechanisms, and domain-specific deployment. I lead the PlanGPT series and am currently a research intern at Microsoft Research Asia (GENAI Group, advised by Prof. Li Dong).

🔥 News

• Oct 2025

  PlanGPT-VL was accepted to EMNLP Industry 2025.

• Aug 2025

  PlanGPT was selected as the oral paper of ACL Industry 2025. (Top 1%)

• May 2025

  Three First-Author papers (FANNO, Tag-Instruct and PlanGPT) were accepted by ACL 2025.

Education

• 
  Peking University — M.S. Smart City & Big Data, Advisor: Prof. Wenjia Zhang (Sep 2024 – Present).
• 
  Southern University of Science and Technology — B.E. Computer Science, Advisor: Prof. Xuan Song (Sep 2020 – Jul 2024, GPA 90.2/100, top 10%).

Projects

I am the first author and technical lead of PlanGPT, the first systematic study of LLMs for urban planning. The suite includes:

Learn more: plangpt.github.io

• PlanGPT — Text LLM for planning scheme generation, powering Urban-Thinking, CoPlanner, and AuditPlanner.
• PlanGPT-VL — Vision-language model for planning maps with hallucination control and hybrid training. Outperforms larger general VLMs on PlanBench-V.
• PlanGPT-R1 — Reasoning-enhanced model for long-form planning documents.
• UP-Bench & PlanBench-V — Benchmarks covering text, vision, and multimodal planning tasks.

First Author Paper

• PlanGPT: Enhancing Urban Planning with Tailored Language Model ACL Industry 2025 · Oral
  HE ZHU, Wenjia Zhang, Guanhua Chen Paper
• Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only ACL 2025 (Findings)
  HE ZHU, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li, Wenjia Zhang, Yun Chen, Guanhua Chen Paper
• Tag-Instruct: A Scalable Framework for Controlled Instruction-Tuning Data Synthesis ACL 2025 (Findings)
  HE ZHU, Zhiwen Ruan, Junyou Su, Xingwei He, Yun Chen, Wenjia Zhang, Guanhua Chen Paper
• PlanGPT-VL: Vision-Language Model for Urban Planning Maps EMNLP Industry 2025
  HE ZHU*, Junyou Su*, Minxin Chen*, Yun Chen, Guanhua Chen, Wenjia Zhang Paper
• Personalized Individual Trajectory Prediction via Meta-Learning ACM SIGSPATIAL 2022 · Oral
  HE ZHU, Liyu Zhang, Zipei Fan Paper
• Anchored Supervised Fine-Tuning ICLR 2026 Submission · Score: 6/6/6/4 (After Rebuttal)
  HE ZHU*, Junyou Su*, Peng Lai*, Wenjia Zhang, Linyi Yang, Guanhua Chen
• AlignDiff: Exploiting Model-Intrinsic Information for Better Data Selection ICLR 2026 Submission · Score: 6/6/6/4 (After Rebuttal)
  Peng Lai*, HE ZHU*, Zhiwen Ruan, Dongdong Zhang, Yun Chen, Peng Li, Furu Wei, Yang Liu, Guanhua Chen
• Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems ACL 2026 Submission
  Wanxing Wu*, HE ZHU*, Yixia Li*, Yun Chen, Guanhua Chen

Experience

• 
  Microsoft Research Asia · GENAI Group — Research Intern, Prof. Li Dong (Oct 2025 – Present).
• 
  Shanghai AI Laboratory · OpenData Lab — Researcher, foundation language models (May 2025 – Oct 2025).
• 
  SenseTime · Foundation Language Model Center — Researcher, foundation models (Jun 2024 – Sep 2024).
• 
  LocationMind, Tokyo — Project Assistant, autonomous driving algorithms (Jun 2023 – Dec 2023).

Research Appointments

• 
  SUSTech-NLP Group — Research Assistant, Prof. Guanhua Chen (Nov 2023 – Present).
• 
  Center for Spatial Information Science, UTokyo — Research Assistant (Feb 2022 – May 2022; Jul 2023 – Sep 2023).
• 
  School of Computing, NUS — Visiting Student (May 2022 – Jul 2022).

Honors & Service

• Outstanding Graduate, Dept. of CS, SUSTech (Top 5%, 2024)
• Outstanding Graduate, SUSTech (Top 5%, 2024)
• Outstanding Thesis, SUSTech (Top 10%, 2024)
• Annual Outstanding Student, SUSTech (2021, 2022, 2023)