Huigen Ye

Huigen Ye

Tsinghua University

😯 About Me

I am currently a third-year Ph.D. student in the THUIAR group in State Key Laboratory of Intelligent Technology and Systems at the Department of Computer Science and Technology in Tsinghua University, under the guidance of Prof. Hua Xu.

My primary research focus revolves around Large-scale Optimization. My research aims to address complex real-world problems by applying machine learning techniques to enhance computational efficiency.

📖 Educations

  • Sep. 2023 - now. Ph.D. student, Department of Computer Science and Technology, Tsinghua University, China.
  • Sep. 2019 - Jun. 2023. B.S., School of Computer Science and Engineering, Sun Yat-sen University, China.

📝 Publications

🔥 Solving Framework

👾 1. LLM-based Algorithm Generation

ICML 2025(Spotlight)
sym

Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
CCF-A CAAI-A TH-CPL-A
Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng

  • This paper introduces a dual-layer self-evolutionary LLM agent to automate neighborhood selection, discovering effective strategies with scant small-scale training data that generalize well to large-scale MILPs. [PDF] [Video] [BibTex]

🔗 2. GNN-based Algorithm

IEEE TEVC 2025
sym

Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultra-Large-Scale Mixed Integer Linear Programs
JCR Q1 CAAI-A Impact Factor=12.0
Huigen Ye, Hua Xu, Carlos A. Coello Coello

  • This paper proposes Light-EvoOPT, a Lightweight Evolutionary Optimization Framework for Ultra-Large-Scale Mixed Integer Linear Programs. [PDF] [BibTex]
ICLR 2024
sym

Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Small-scale Optimizer and Small Training Dataset
CAAI-A TH-CPL-A
Huigen Ye, Hua Xu, Hongyan Wang

  • This paper proposes Light-MILPopt, a lightweight large-scale optimization framework that only uses a small-scale optimizer and small training dataset to solve large-scale MILPs. [PDF] [Video] [BibTex]
ICML 2023
sym

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
CCF-A CAAI-A TH-CPL-A
Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang

  • This paper presents a GNN&GBDT-guided fast optimizing framework for large-scale IPs that only uses a small-scale optimizer to solve large-scale IPs efficiently. [PDF] [Video] [BibTex]

🧠 3. Heuristic-based Algorithm

AAAI 2023
sym

Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
CCF-A CAAI-A TH-CPL-A
Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang

  • This paper presents a general adaptive constraint partition-based optimization framework (ACP) for large-scale IPs that can efficiently use any existing optimization solver as a subroutine. [PDF] [BibTex]

🪵 Benchmark Dataset

GECCO 2025
sym

MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems
CAAI-B TH-CPL-B
Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin

  • This paper introduce MILPBench, a large-scale benchmark suite comprising 100,000 MILP instances organized into 60 wellcategorized classes, which also includes a comprehensive baseline library featuring 15 mainstream solving methods. [PDF] [BibTex]

🌲 Data Generator

🎤 Tutorial

GECCO 2025
sym

Intelligent Evolution Optimization: Guided from Deep Learning to Large Language Models
Hua Xu, Xiaodong Li, Yuan Sun, Huigen Ye

  • This tutorial will provide an overview of the latest research development in intelligent evolutionary optimization, focusing on the transition from traditional machine learning to deep learning, and then to business optimization and evolutionary optimization guided by large language models. [PDF] [Award]
IEEE CEC 2025
sym

Large Language Model Driven Evolutionary Optimization
Hua Xu, Xiaodong Li, Yuan Yuan, Yuan Sun, Huigen Ye

  • In recent years, evolutionary optimization guided by large language models has become a ma jor trend in the development of intelligent, learning-based optimization algorithms. This tutorial will present the latest research development in five key areas of this evolving field. [PDF] [Award]

🎖 Honors and Awards

Ph.D.

  • [Nov. 2024] Nomination for National Scholarship for Graduate Students. (Top 0.93%, 2/216 among peers of the same cohort)

Bachelor

  • [Jun. 2023] Outstanding undergraduate graduation thesis of Sun Yat-sen University (2023 No.2023134). (Top 5%)
  • [Dec. 2022] National Scholarship for Undergraduate Student (2022 No.07012). (Top 2.63%)
  • [Feb. 2022] Special first prize of Tencent scholarship for Undergraduate Student. (Top 5%)
  • [Apr. 2021] 🥈Silver Medal, International Collegiate Programming Contest (ICPC), Asia-East Continent Final(EC-Final).
  • [Dec. 2020] 🥇Gold Medal, International Collegiate Programming Contest (ICPC), Asia Nanjing Regional Contest.
  • [Dec. 2019] Top 0.08%(9/11359), 18th CCF Certified Software Professional (CSP).

💼 Professional Services

Reviewer

  • ICML: 2025
  • ICLR: 2024, 2025
  • NeurIPS: 2024, 2025
  • AISTATS: 2024, 2025

Problem Setter

  • [Aug. 2022] The 2022 China Collegiate Programming Contest (CCPC) Huawei Cloud Computing Challenge, Trigonometric functions (AC rate: 30.55% (391/1280)).
  • [Nov. 2021] The 2021 China Collegiate Programming Contest (CCPC) Weihai Site, Circular Billiard Table (AC rate: 30.18% (297 / 984)).

Others

  • [Aug. 2023] Expert Consultant for Olympiad in Informatics, Hangzhou Yima Science and Technology Co., Ltd.
  • [Dec. 2021] Chaser of Light, Huawei Technologies Co., Ltd. Optical Product Line.
  • [Sep. 2020] President of the ACMM Association, Sun Yat-sen University.