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Hao Wang

Hao Wang  王 皓

Associate Professor
School of Computer Science and Technology, University of Science and Technology of China (USTC)
Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA)
Key Laboratory of Cognitive Intelligence(认知智能全国重点实验室)

Email: wanghao3 [AT] ustc.edu.cn
Office: B709, Xinzhi Building, USTC High-tech Campus, Hefei, Anhui, China, 230027.

Biography

Hao Wang is an Associate Professor in the School of Computer Science and Technology at USTC. He is affiliated with the Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA) and the Key Laboratory of Cognitive Intelligence.

His work focuses on data science, artificial intelligence, large language models, recommender systems, and AI4Science. His research has been deployed in industrial systems (including Huawei Pangu foundation-model applications and Tencent industrial advertising), and the group open-source ecosystem has accumulated 2K+ GitHub stars.

Research Interests:

  • Data-centric AI: data selection, curation, and regeneration.
  • Recommender Systems: large recommendation models, sequential recommendation, and cross-domain recommendation.
  • Large Language Models: efficient inference, reasoning, and knowledge discovery.
  • AI for Science: machine learning methods for chemistry and biology.

He is actively recruiting self-motivated graduate and undergraduate students. Prospective students are welcome to contact him by email with a CV and research interests.

Experience

  • Apr 2025 - Present: Associate Professor, School of Computer Science and Technology, USTC.
  • Jan 2022 - Mar 2025: Associate Researcher, School of Computer Science and Technology, USTC.
  • Jan 2020 - Jan 2021: Visiting Student, Department of Computer Science, University of Illinois Urbana-Champaign (Advisor: Prof. Hanghang Tong).
  • Sep 2015 - Dec 2021: Ph.D. in Computer Science, USTC (Advisor: Prof. Enhong Chen).
  • Sep 2011 - Jul 2015: B.S. in Computer Science and Information Engineering, Hefei University of Technology.
News

  • Nov 2026: Four papers appeared at CIKM 2026 in Rome (November 7–11) and are already in the ACM Digital Library, including 1 as corresponding author.
  • Oct 2026: Nine papers appeared at EMNLP 2026 (4 main conference, 1 Industry Track, and 4 Findings), including 6 as corresponding author.
  • 2026: ChemEval is accepted by ICLR 2026 (corresponding author).
  • 2026: One paper is accepted by ICML 2026 (corresponding author).
  • 2026: Two papers are accepted by KDD 2026, one by The Web Conference (WWW 2026), and two by ACL 2026.
  • 2026: Additional papers appeared at SIGIR 2026, DASFAA 2026, and IJCNN 2026.
  • 2025: P-Law and RAG-IGBench are accepted by NeurIPS 2025.
  • 2025: One paper is accepted by ICML 2025 (corresponding author).
  • Nov 2025: Two papers are accepted by Findings of EMNLP 2025 (1 as corresponding author).
  • Feb 2025: Served as Program Committee member for ICML 2025, SIGIR 2025, KDD 2025 (Research & ADS), ACL ARR, and NeurIPS 2025.
  • Jan 2025: One paper accepted by DASFAA 2025.
  • Jan 2025: Three papers and one tutorial accepted by WWW 2025.
  • Dec 2024: Released a survey, Scaling New Frontiers: Insights into Large Recommendation Models. See paper and project repository.
  • Oct 2024: Dataset Regeneration for Sequential Recommendation receives the sole Best Student Paper Award at KDD 2024 (corresponding author).
Publications   (Google Scholar Full List, Grouped by Year)   Google Scholar   GitHub

* indicates corresponding author. # indicates equal contribution.

Open-source Projects (USTC-StarTeam)

中文

课题组 GitHub: USTC-StarTeam。 截至 2026-04-14,共有 38 个公开仓库。

  • Awesome-Large-Recommendation-Models(119 stars):大推荐模型进展汇总。
    链接:https://github.com/USTC-StarTeam/Awesome-Large-Recommendation-Models
  • DR4SR(72 stars):KDD 2024 Best Student Paper 代码。
    链接:https://github.com/USTC-StarTeam/DR4SR
  • GE4Rec(36 stars):ICML 2025 CTR 生成式建模项目。
    链接:https://github.com/USTC-StarTeam/GE4Rec
  • ChemEval(32 stars):AI4Science/Chemistry 评测工具。
    链接:https://github.com/USTC-StarTeam/ChemEval

English

Group GitHub: USTC-StarTeam. As of April 14, 2026, the organization hosts 38 public repositories.

  • Awesome-Large-Recommendation-Models (119 stars): curated advances on large recommendation models.
    URL: https://github.com/USTC-StarTeam/Awesome-Large-Recommendation-Models
  • DR4SR (72 stars): KDD 2024 Best Student Paper codebase.
    URL: https://github.com/USTC-StarTeam/DR4SR
  • GE4Rec (36 stars): ICML 2025 project on generative CTR feature modeling.
    URL: https://github.com/USTC-StarTeam/GE4Rec
  • ChemEval (32 stars): chemistry/AI evaluation toolkit.
    URL: https://github.com/USTC-StarTeam/ChemEval
Services

中文

  • 编委/客座编辑:Entropy 专刊 Guest Editor。
  • 期刊审稿:IEEE TKDE、IEEE TSMC、ACM TOIS、ACM TIST、ACM TKDD、JCST、FCS。
  • 程序委员会:2025(ICML/NeurIPS/WWW/SIGIR/KDD);2024(CIKM/NeurIPS/AAAI/WWW/SDM/SIGIR/KDD)。

English

  • Editorial Roles: Entropy Special Issue Guest Editor.
  • Journal Reviewer: IEEE TKDE, IEEE TSMC, ACM TOIS, ACM TIST, ACM TKDD, JCST, and FCS.
  • Program Committee: 2025 (ICML/NeurIPS/WWW/SIGIR/KDD); 2024 (CIKM/NeurIPS/AAAI/WWW/SDM/SIGIR/KDD).
Honors and Awards

中文

  • 2025:王宽诚育才奖(校教育基金会奖)
  • 2025:HW 青年学者计划(HW)
  • 2024:中国电子学会自然科学一等奖
  • 2024:安徽省科技进步一等奖
  • 2024:省青年科技人才托举计划(安徽省科学技术协会)
  • 2024:CCF-A类国际会议KDD2024 唯一最佳学生论文奖
  • 2024:腾讯精英人才计划入选学生导师
  • 2023:CCF-腾讯犀牛鸟基金入选学者
  • 2023:第九届中国智能技术与大数据会议优秀论文
  • 2023:美团最佳合作奖
  • 2022:中国科学技术大学“墨子杰出青年特资津贴”
  • 2019:国家公派联合培养博士研究生(CSC)

English

  • 2025: Wang Kuancheng Talent Award (USTC Education Foundation)
  • 2025: HW Young Scholar Program (HW)
  • 2024: Natural Science First Prize, Chinese Institute of Electronics
  • 2024: First Prize of Anhui Provincial Science and Technology Progress Award
  • 2024: Anhui Young S&T Talent Support Program (Anhui Association for Science and Technology)
  • 2024: The only Best Student Paper Award at KDD 2024 (a CCF-A international conference)
  • 2024: Selected student mentor of Tencent Elite Talent Program
  • 2023: CCF-Tencent Rhino-Bird Open Research Fund (selected scholar)
  • 2023: Excellent Paper Award, 9th China Conference on Intelligent Technology and Big Data
  • 2023: Meituan Best Collaboration Award
  • 2022: USTC Mozi Distinguished Young Talent Special Allowance
  • 2019: China Scholarship Council Joint Ph.D. Program (CSC)
Research Grants

中文

  • 2025-2028:国家自然科学基金面上项目。
  • 2025-2027:国家自然科学基金重点项目课题负责人。
  • 2023-2025:国家自然科学基金青年项目。
  • 2024-2027:安徽省科技创新攻坚重点项目课题负责人兼技术总师。

English

  • 2025-2028: NSFC General Program.
  • 2025-2027: NSFC Key Program (subtask PI).
  • 2023-2025: NSFC Young Scientists Fund.
  • 2024-2027: Anhui Provincial Key S&T Innovation Program (subtask lead and chief technical architect).
Teaching

中文

  • 深度学习:硕士选修课(2022,2024)。
  • 深度学习导论:本科核心课(2023,2024)。
  • 工程硕士专业英语(电子信息):硕士基础课(2023,2024)。

English

  • Deep Learning: postgraduate elective (2022, 2024).
  • Introduction to Deep Learning: undergraduate core course (2023, 2024).
  • Professional English for Engineering (Electronic Information): postgraduate foundational course (2023, 2024).
Recruitment

中文招生(重点)

  • 欢迎对数据科学、大语言模型、推荐系统与 AI4Science 感兴趣的同学加入中国科学技术大学 USTC-StarTeam 实验室。
  • 实验室现面向本科科研训练与大创、保研、硕士研究生、博士研究生及博士后开放申请。
  • 请将个人简历、成绩单及代表性成果(论文、代码或项目说明)发送至 wanghao3 [AT] ustc.edu.cn,邮件标题建议注明「申请类型-姓名-目前学校」,例如「博士申请-张三-某某大学」。
  • 欢迎低年级本科生提前联系,参与大创或科研实习。

Recruitment (Highlighted)

  • We welcome applications from undergraduate researchers, master's students, Ph.D. students, and postdoctoral researchers in data science, large language models, recommender systems, and AI for Science.
  • Please email a CV, transcript, and representative work (papers, code, or project notes) to wanghao3 [AT] ustc.edu.cn, with a subject line such as "PhD application – Name – Current institution."
  • Undergraduates are welcome to join earlier through research internships or innovation projects.