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 [email protected] 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