Lianghao Xia 夏良昊

Lianghao Xia 夏良昊

Full Professor

About Me

I am a professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). I was a research assistant professor at The University of Hong Kong. I received my Ph.D. (2021) and Bachelor's (2017) from South China University of Technology.

My research focuses on LLM agents, AI-Generated Content (AIGC), graph foundation models, retrieval-augmented generation, and recommendation systems.

Join Us!

I am actively recruiting Ph.D. (2027) and M.S. (2026) students. I also regularly accept undergraduate and graduate student interns, with remote internship opportunities available. Please feel free to contact me at xialh@hit.edu.cn along with your CV.

Honors and Awards

  • 📊 Google Scholar citation 8000+, h-index 44, i-10 index 60
  • 🏆 World’s Top 2% Scientists 2024 and 2025 published by Stanford University
  • 🌟 2025 World AI Conference “Rising Star” Candidate Award
  • 🎖️ AI 2000 Most Influential Scholars by Aminer.
  • ACM MM 2024 Best Paper Nomination & Honorable Mention Award
  • WWW 2023 Best Paper Nomination & Spotlight Paper
  • WSDM 2022 Best Paper Nomination & Top-3 Most Cited Paper
  • WSDM 2023 Top-1 Most Cited Paper
  • ICLR 2023 Spotlight Paper (Top 25%)
  • 1 × KDD 2024 Most Influential Papers (Rank 6th / 559 Accepted Papers)
  • 1 × WWW 2024 Most Influential Papers (Rank 1st / 405 Accepted Papers)
  • 3 × WWW 2023 Most Influential Papers (Rank 3th, 5th, 8th / 323 Accepted Papers)
  • 1 × SIGIR 2023 Most Influential Papers (Rank 7th / 165 Accepted Papers)
  • 2 × KDD 2023 Most Influential Papers (Rank 6th, 7th / 497 Accepted Papers)
  • 2 × SIGIR 2022 Most Influential Papers (Rank 2nd, 3rd / 161 Accepted Papers)
  • 2 × KDD 2022 Most Influential Papers (Rank 12th, 15th / 450 Accepted Papers)
  • 1 × SIGIR 2021 Most Influential Papers (Rank 13th / 151 Accepted Papers)

Selected Publications

* Equal contribution   † Corresponding author

  • [Under Review] “ViMax: Agentic Video Generation”
    #14 Repo of the Day, GitHub Trending Board, GitHub Stars 1400+
    L. Huang*, S. He*, H. Zhou*, Y. Huang, S. Wu, L. Xia†, C. Huang†
    [code & demos]

  • [Under Review] “VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking”
    Receives over 300 GitHub Stars
    H. Zhou*, L. Huang*, S. Wu, L. Xia†, C. Huang†
    [code & demos]

  • [NeurIPS’25] “AI-Researcher: Autonomous Scientific Innovation”
    Receives over 3.8k GitHub Stars
    J. Tang*, L. Xia*, Z. Li, C. Huang
    [pdf] [code]

  • [EMNLP’25] “LightRAG: Simple and Fast Retrieval-Augmented Generation”
    Receives over 12k GitHub Stars
    Z. Guo, L. Xia, Y. Yu, T. Ao, and C. Huang
    [pdf] [code]

  • [EMNLP’24] “OpenGraph: Towards Open Graph Foundation Models”
    Receives over 300 GitHub Stars, Citation 70+
    L. Xia, B. Kao, and C. Huang
    [pdf] [code]

  • [KDD’24] “UrbanGPT: Spatio-Temporal Large Language Models”
    Most Influential Papers of KDD’24 (Rank 6 / 559)
    Z. Li, L. Xia, J. Tang, Y. Xu, L. Xia, D. Yin, and C. Huang
    [pdf] [code]

  • [MM’24] “DiffMM: Multi-Modal Diffusion Model for Recommendation”
    Best Paper Nomination & Honorable Mention Award
    Y. Jiang, L. Xia, W. Wei, D. Luo, K. Lin, and C. Huang
    [pdf] [code]

  • [WWW’24] “RLMRec: Representation Learning with Large Language Models for Recommendation”
    Most Influential Papers of WWW’24 (Rank 1 / 405)
    X. Ren, W. Wei, L. Xia, L. Su, S. Cheng, J. Wang, D. Yin and C. Huang
    [pdf] [code]

  • [WWW’23] “Automated Self-Supervised Learning for Recommendation”
    Spotlight Paper & Best Paper Nomination (16 / 323), Most Influential Papers of WWW’23 (Rank 8 / 323)
    L. Xia, C. Huang, C.Z. Huang, K. Lin, T. Yu and B. Kao
    [pdf] [code]

  • [WWW’23] “Graph-less Collaborative Filtering”
    L. Xia, C. Huang, J. Shi and Y. Xu
    Citation 70+
    [pdf] [code]

  • [ICLR’23] “LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation”
    Selected as Spotlight Paper (Top 25%), Citation 500+
    X. Cai, C. Huang, L. Xia and X. Ren
    [pdf] [code]

  • [SIGIR’22] “Hypergraph Contrastive Collaborative Filtering”
    Most Influential Papers of SIGIR’22 (Rank 3 / 161), Citation 500+
    L. Xia, C. Huang, Y. Xu, J. Zhao, D. Yin and J. Huang
    [pdf] [code]

  • [KDD’22] “Self-Supervised Hypergraph Transformer for Recommender Systems”
    Most Influential Papers of KDD’22 (Rank 15 / 450), Citation 180+
    L. Xia, C. Huang and C. Zhang
    [pdf] [code]

  • [TKDE’22] “Multi-Behavior Sequential Recommendation with Temporal Graph Transformer”
    Citation 100+
    L. Xia, C. Huang Y. Xu, and J. Pei
    [pdf] [code]

  • [WSDM’22] “Contrastive Meta Learning with Behavior Multiplicity for Recommendation”
    Best Paper Nomination & Most Cited Papers of WSDM’22 (Rank 3 / 159)
    W. Wei, C. Huang, L. Xia, Y. Xu, J. Zhao, D. Yin
    [pdf] [code]

  • [SIGIR’21] “Graph Meta Network for Multi-Behavior Recommendation”
    Most Influential Papers of SIGIR’21 (Rank 13 / 151), Citation 270+
    L. Xia, Y. Xu, C. Huang, P. Dai and L. Bo
    [pdf] [code]

  • [AAAI’21] “Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation”
    Citation 280+
    L. Xia, C. Huang, Y. Xu, P. Dai, M. Lu and L. Bo
    [pdf] [code]

  • [IJCAI’21] “Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning”
    Citation 100+
    L. Xia, C. Huang, Y. Xu, P. Dai, L. Bo, X. Zhang, T. Chen
    [pdf] [code]

  • [SIGIR’20] “Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network”
    Citation 180+
    L. Xia, C. Huang, Y. Xu, P. Dai, B. Zhang and L. Bo
    [pdf] [code]

Work Experience

  • Harbin Institute of Technology (Shenzhen)   11/2025 - Present
    Professor, School of Computer Science and Technology

  • The University of Hong Kong   11/2024 - 11/2025
    Research Assistant Professor, School of Computing and Data Science

  • The University of Hong Kong   04/2022 - 11/2024
    Postdoctoral Fellow, Department of Computer Science

Education Background

  • South China University of Technology   09/2017 - 12/2021
    Ph.D. in Computer Science and Technology

  • South China University of Technology   09/2013 - 06/2017
    Bachelor in Computer Science and Technology (English-Taught Class)

Services

Senior PC / Area Chair: AAAI, ARR

PC Member / Reviewer: SIGIR, KDD, WWW, AAAI, NeurIPS, ICLR, ICML, ARR, CIKM, SDM

Journal Reviewer: IEEE TKDE, IEEE TBD, IEEE TNNLS, IEEE TLT, IEEE TNSE, ACM TOIS, ACM TWEB, ACM TKDD, ACM TIST, APIN, DMKD, Neural Networks, Information Science