Hi there! I am Haoran Ye (叶皓然), a Ph.D. student at SIST, Peking University, advised by Prof. Guojie Song and co-advised by Prof. Xin Zhang. My research interests include AI agents, AI + psychology, human-centered AI, and learning to optimize.

📖 Education

• Sep 2024 - Jun 2029 (anticipated), Ph.D. Student in AI, School of Intelligence Science and Technology (SIST), Peking University
  • Advised by Guojie Song and co-advised by Xin Zhang
  • Rank: 1/33
  • GPA: 3.87/4.00
• Sep 2020 - Jun 2024, B.Eng. in AI, School of Computer Science and Technology, Soochow University
  • Advised by Zhiguang Cao, Helan Liang, and Yong Li
  • Rank: 1/250
  • Average Grade: 95/100
  • Student of the Year 2024, Jiangsu (江苏) Province (Ranked 2nd among all undergraduate students in Jiangsu Province)

📑 Selected Publications (Full List)

AI agents and foundation models

• NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution, Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
• Meta-R1: Empowering Large Reasoning Models with Metacognition, Haonan Dong, Haoran Ye, Wenhao Zhu, Kehan Jiang, Guojie Song

Learning for (combinatorial) optimization

• NeurIPS 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization, Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li
• AAAI 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time, Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
• KDD 2025 TransPlace: Transferable Circuit Global Placement via Graph Neural Network, Yunbo Hou, Haoran Ye, Shuwen Yang, Yingxue Zhang, Siyuan Xu, Guojie Song
• KDD 2024 RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network, Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song
• KDD 2025 D&B Track RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark, Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, and more authors

Human-centered AI; AI + Psychology; Safety and value alignment

• Survey Psychometrics with AI Foundation Models, Haoran Ye, Tianrui Huo, Zheng Guo, Xin Zhang, Haonan Dong, Guojie Song
• Survey Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement, Haoran Ye, Jing Jin, Yuhang Xie, Xin Zhang, Guojie Song
• ACL 2025 Main, Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models, Haoran Ye, Tianze Zhang, Yuhang Xie, Liyuan Zhang, Yuanyi Ren, Xin Zhang, Guojie Song
• AAAI 2025 Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models, Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song
• ACL 2024 Main ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models, Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song

🎖 Selected Honors and Awards

• Sep 2025, National Scholarship
• Jun 2025, PKU Presidential Scholarship (the only recipient in the 2024 SIST cohort)
• Dec 2024, “Building Heart” (立心) Scholarship, SIST, Peking University

• Oct 2024, Excellent Undergraduate Thesis of Jiangsu (江苏) Province
• Jun 2024, Student of the Year, Jiangsu (江苏) Province (Ranked 2nd among all undergraduate students in Jiangsu Province)
• Mar 2024, May Fourth Medal of Innovation, Soochow University (I was the only undergraduate student who received this award)
• May 2023, Excellent Student in Study and Research, Soochow University (I was the only junior-year undergraduate student who received this award)
• Dec 2022, National Scholarship; Provincial Merit Student; Pacemaker to Merit Student

🚀 Featured Projects

Live Demo

AI-Powered Tutoring & Notes Platform

An intelligent learning platform powered by advanced AI agents that provides personalized tutoring and smart note-taking capabilities. The system leverages multi-agent collaboration to enhance learning engagement and boost learning efficiency.

Key Features:

• AI-driven personalized tutoring sessions
• Intelligent note-taking and organization
• Adaptive learning pathways
• Interactive learning assistance

Visit Platform →

Live Demo

Co-Psychologist: AI-Assisted Psychological Scale Design

A collaborative AI agent system designed to assist psychologists and researchers in developing, refining, and validating psychological assessment scales. The platform combines domain expertise with AI capabilities to streamline the scale development process.

Key Features:

• Autonomous and collaborative scale design workflows
• Evidence-based research integration
• Psychometric validation tools
• Psychology domain expert knowledge base

Visit Platform →

💼 Services

• Reviewer (since 2024): NeurIPS, ICML, ICLR, ACL ARR, TMLR, etc.

🌈 Language Proficiency

• Mandarin (Native)
• English (Fluent; CET-6: 636)

⛹️‍♀️ Extracurricular Activities

• 2024 - Present:
  • 🥳 Individual Medals in PKU Sports Festival and PKU Cup: 🥇x3, 🥈x4, 🥉x1
  • 🤸 Member of the PKU Rope Skipping Team; won the silver medal 🥈 at the National Rope Skipping Competition of China
  • 🏀 Captain of the Men’s Basketball Team, SIST, PKU; scored 10+ points on average in 2025 PKU Cup; led the team to its first-ever top 8 finish
  • 🏊‍♂️ 6th place in the Men’s 100m Breaststroke, PKU Cup
  • 💪 4th place in Men’s Physique (Group B) at the first Fitness and Bodybuilding Championship of PKU
• 2020 - 2024:
  • 💬 Debating Team of SUDA; Participated in a series of debating competitions, including the Chinese Debate World Cup
  • 🏀 Captain of the Men’s Basketball Team, SCST, SUDA
  • 💪 Full marks in the National Student Physical Health Standard Test