Chao Huang
Assistant Professor
Department of Computer Science & Institute of Data Science
π§ chaohuang75@gmail.comΒ Β π Google Scholar Β Β π Lab GithubΒ Β Β
π Β ε’ιε ¬δΌε· Β Β π£Β TwitterΒ Β π Linkedin Β π ε°ηΊ’δΉ¦
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Selected Publications in Recent Years:
Selected Publications in Recent Years:
Google Scholar Citation 14,000+, h-index 61
π¨βπ»β¨ Our Research Works are Open-Sourced β Explore Them on Our Lab GitHub RepositoryΒ Β
(In Chronological Order, * Indicates Corresponding Author, + Indicates Supervised Student)
(In Chronological Order, * Indicates Corresponding Author, + Indicates Supervised Student)
In the Year of 2025:
[EMNLP'2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Z. Guo+, L. Xia, Y. Yu, T. Ao, and C. Huang*
[paper] (~160 Citations π) [code]
[NeurIPS'2025] "AI-Researcher: Autonomous Scientific Innovation"
J. Tang+, L. Xia, Z. Li, and C. Huang*
[ACL'2025] "Aria-UI: Visual Grounding for GUI Instructions"
Y. Yang+, Y. Wang, D. Li, Z. Luo, B. Chen, C. Huang*, and J. Li*
[ICLR'2025] "Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge"
J. Ye, Y. Wang, Y. Huang, D. Chen, Q. Zhang, N. Moniz, T. Gao, W. Geyer, C. Huang, P. Chen, X. Zhang
[paper] (~140 Citations π) [code]
[ICML'2025] "SepLLM: Accelerate LLMs by Compressing One Segment into One Separator"
G. Chen+, H. Shi, J. Li, Y. Gao, X. Ren, Y. Chen, X. Jiang, Z. Li, W. Liu, and C. Huang
In the Year of 2024:
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
X. Ren+, W. Wei, L. Xia, L. Su, S. Cheng, J. Wang, D. Yin and C. Huang*
π (Top-1 Most Influential Paper: 1 / 405 Accepted Papers) π
π (Top-1 Most Cited Paper: 1 / 405 Accepted Papers) π
[paper] (~280 Citations π) [code]
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
J. Tang+, Y. Yang, W. Wei, L. Shi, L. Su, S. Cheng, D. Yin and C. Huang*
π (Top-4 Most Influential Paper: 4 / 159 Accepted Papers) π
π (Top-2 Most Cited Paper: 2 / 159 Accepted Papers) π
[paper] (~320 Citations π) [code]
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
Z. Li+, L. Xia, J. Tang, Y. Xu, L. Shi, L. Xia, D. Yin and C. Huang*
π (Top-6 Most Influential Paper: 8/ 559 Accepted Papers) π
π (Top-2 Most Cited Paper: 2 / 559 Accepted Papers) π
[paper] (~170 Citations π) [code]
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
J. Tang+, Y. Yang, W. Wei, L. Shi, L. Xia, D. Yin and C. Huang*
π (Top-15 Most Cited Paper: 15 / 559 Accepted Papers) π
[KDD'2024] "Large Language Models for Graphs"
X. Ren+, J. Tang, D. Yin, N. Chawla and C. Huang*
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
L. Xia+, B. Kao, and C. Huang*
[WSDM'2024] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
W. Wei+, X. Ren, J. Tang, Q. Wang, L. Su, S. Cheng, J. Wang, D. Yin and C. Huang*
π (Top-1 Most Cited Paper: 1 / 112 Accepted Papers) π
[paper] (~330 Citations π) [code]
[WSDM'2024] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
Y. Jiang+, Y. Yang, L. Xia and C. Huang*
π (Top-6 Most Cited Paper: 6 / 112 Accepted Papers) π
[paper] (~120 Citations π) [code]
[WSDM'2024] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
X. Ren+, L. Xia, Y. Yang, W. Wei, T. Wang, X. Cai and C. Huang*
π (Top-13 Most Cited Paper: 13 / 112 Accepted Papers) π
[MM'2024] "DiffMM: Multi-Modal Diffusion Model for Recommendation"
Y. Jiang+, L. Xia, W. Wei, D. Luo, K. Lin and C. Huang*
π (Best Paper Honorable Mention Award: 10 / 1149) π
[CIKM'2024] "Recdiff: Diffusion model for social recommendation"
Z. Li+, L. Xia, and C. Huang*
π (Top-6 Most Cited Paper: 6 / 347 Accepted Papers) π
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Z. Li, L. Xia, Y. Xu, C. Huang*
In the Year of 2023:
[WWW'2023] "Automated Self-Supervised Learning for Recommendation"
L. Xia+, C. Huang*, C. Huang, K. Lin, T. Yu and B. Kao
π (Top-8 Most Influential Paper: 8/ 365 Accepted Papers) π
π (Top-9 Most Cited Paper: 9 / 365 Accepted Papers) π
π (Spotlight Paper: 16 / 365 Accepted Papers) π
[paper] (~130 Citations π) [code]
[WWW'2023] "Multi-Modal Self-Supervised Learning for Recommendation"
W. Wei+, C. Huang*, L. Xia and C. Zhang
π (Top-3 Most Influential Paper: 3 / 365 Accepted Papers) π
π (Top-3 Most Cited Paper: 3 / 365 Accepted Papers) π
[paper] (~210 Citations π) [code]
[WWW'2023] "Debiased Contrastive Learning for Sequential Recommendation"
Y. Yang+, C. Huang*, L. Xia, C. Huang, D. Luo and K. Li
π (Top-5 Most Influential Paper: 5 / 365 Accepted Papers) π
π (Top-5 Most Cited Paper: 5 / 365 Accepted Papers) π
[paper] (~170 Citations π) [code]
[WWW'2023] "Automated Spatio-Temporal Graph Contrastive Learning"
Q. Zhang+, C. Huang*, L. Xia, Z. Wang, Z. Li and S. Yiu
π (Top-8% Most Cited Paper among 365 Accepted Papers) π
[WWW'23] "Graph-less Collaborative Filtering"
L. Xia+, C. Huang*, J. Shi and Y. Xu
π (Top-10% Most Cited Paper among 365 Accepted Papers) π
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
X. Cai+, C. Huang*, L. Xia and X. Ren
π (Top-5% Most Cited Paper among 1,574 Accepted Papers) π
[paper] (~420 Citations π) [code] (~180 GitHub Stars π)
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
M. Chen+, C. Huang*, L. Xia, Β W. Wei, Y. Xu and R. Luo
π (Top-1 Most Cited Paper: 1 / 123 Accepted Papers) π
[paper] (~240 Citations π) [code]
[KDD'2023] "Adaptive Graph Contrastive Learning for Recommendation"
Y. Jiang+, C. Huang* and L. Xia
π (Top-8 Most Influential Paper: 8 / 497 Accepted Papers) π
π (Top-7 Most Cited Paper: 7 / 497 Accepted Papers) π
[paper] (~160 Citations π) [code]
[KDD'2023] "Knowledge Graph Self-Supervised Rationalization for Recommendation"
Y. Yang+, C. Huang*, L. Xia and C. Huang
π (Top-10 Most Influential Paper: 10 / 497 Accepted Papers) π
π (Top-8 Most Cited Paper: 8 / 497 Accepted Papers) π
[paper] (~150 Citations π) [code]
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
Z. Li+, L. Xia, Y. Xu and C. Huang*
[paper] (~60 Citations π) [code]
[NeurIPS'2023] "LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting"
X. Liu, Y. Xia, Y. Liang, J. Hu, Y. Wang, L. Bai, C. Huang, Z. Liu, B. Hooi, R. ZimmermannΒ
[paper] (~150 Citations π) [code]
[SIGIR'2023] "Disentangled Contrastive Collaborative Filtering"
X. Ren+, L. Xia, J. Zhao, D. Yin and C. Huang*
π (Top-12 Most Influential Paper: 12/ 165 Accepted Papers) π
π (Top-6 Most Cited Paper: 6 / 165 Accepted Papers) π
[paper] (~150 Citations π) [code]
[SIGIR'2023] "Graph Transformer for Recommendation"
C. Li+, L. Xia, X. Ren, Y. Ye, Y. Xu and C. Huang*
π (Top-14% Most Cited Paper among 165 Accepted Papers) π
[paper] (~80 Citations π) [code]
[SIGIR'2023] "Graph Masked Autoencoder for Sequential Recommendation"
Y. Ye+, L. Xia and C. Huang*
π (Top-15% Most Cited Paper among 165 Accepted Papers) π
[paper] (~70 Citations π) [code]
[AAAI'2023] "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction"
J. Ji+, J. Wang, C. Huang, J. Wu, B. Xu, Z. Wu, J. Zhang and Y. Zheng
π (Top-11 Most Influential Paper: 11 / 1721 Accepted Papers) π
π (Top-11 Most Cited Paper: 11 / 1721 Accepted Papers) π
[paper] (~260 Citations π) [code]
[ICML'2023] "Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Q. Zhang, C. Huang*, L. Xia, Z. Wang, S. Yiu, R. Han
[paper] (~40 Citations π) [code]
In the Year of 2022:
[SIGIR'2022] "Hypergraph Contrastive Collaborative Filtering"
L. Xia+, C. Huang*, Y. Xu, J. Zhao, D. Yin and J. Huang
π (Top-3 Most Influential Paper: 3/ 161 Accepted Papers) π
π (Top-2 Most Cited Paper: 2 / 161 Accepted Papers) π
[paper] (~480 Citations π) [code]
[SIGIR'2022] "Knowledge Graph Contrastive Learning for Recommendation"
Y. Yang+, C. Huang*, L. Xia and C. Li
π (Top-3 Most Influential Paper: 2/ 161 Accepted Papers) π
π (Top-3 Most Cited Paper: 3 / 161 Accepted Papers) π
[paper] (~470 Citations π) [code]
[WSDM'2022] "Contrastive Meta Learning with Behavior Multiplicity for Recommendation"
W. Wei+, C. Huang*, L. Xia,Β Y. Xu, J. Zhao and D. Yin
π (Best Paper Award Nomination) π
π (Top-3 Most Cited Paper: 3 / 159 Accepted Papers) π
[paper] (~210 Citations π) [code]
[KDD'22] "Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation"
Y. Yang+, C. Huang*, L. Xia, Y. Liang, Y. Yu and C. Li
π (Top-12 Most Influential Paper: 12 / 450 Accepted Papers) π
π (Top-16 Most Cited Paper: 16 / 450 Accepted Papers) π
[paper] (~170 Citations π) [code]
[KDD'22] "Self-Supervised Hypergraph Transformer for Recommender Systems"
L. Xia+, C. Huang*, and C. Zhang
π (Top-15 Most Influential Paper: 15 / 450 Accepted Papers) π
π (Top-18 Most Cited Paper: 18 / 450 Accepted Papers) π
[paper] (~160 Citations π) [code]
[KDD'22] "Multiplex Heterogeneous Graph Convolutional Network"
P. Yu, C. Fu, Y. Yu, C. Huang, Z. Zhao and J. Dong
π (Top-28 Most Cited Paper: 28 / 450 Accepted Papers) π
[paper] (~110 Citations π) [code]
[ICDE'22] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
Z. Li+, C. Huang*, L. Xia,Β Y. Xu and J. Pei
π (Top-5 Most Cited Paper: 5 / 221 Accepted Papers) π
[paper] (~100 Citations π) [code]
In the Year of 2021:
[AAAI'21] "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network"Β
X. Zhang+, C Huang*, Y. Xu, L. Xia, P Dai, L. Bo, J. Zhang and Y. Zheng
[paper] (~250 Citations π) [code]
[AAAI'21] "Knowledge-aware Coupled Graph Neural Network for Social Recommendation"Β
C. Huang, H. Xu, Y. Xu, P. Dai, L. Xia, M. Lu, L. Bo, H. Xing, X. Lai, Y. Ye
[paper] (~230 Citations π) [code]
[AAAI'21] "Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation"
C. Huang, J. Chen, L. Xia, Y. Xu, P. Dai, Y. Chen, L. Bo, J. Zhao and J. Huang
[paper] (~130 Citations π) [code]
[AAAI'21] "Knowledge-Enhanced Hierarchical Graph Transformer for Multi-Behavior Recommendation"
L. Xia+, C. Huang*, Y. Xu, P. Dai, M. Lu and L. Bo
[paper] (~250 Citations π) [code]
[SIGIR'2021] "Graph Meta Network for Multi-Behavior Recommendation"Β
L. Xia+, Y. Xu, C. Huang*, P. Dai and L. Bo
π (Top-13 Most Influential Paper: 13/ 151 Accepted Papers) π
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