Chao Huang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 166

Top Venues

Publications

Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
Graph Augmentation for Recommendation. CoRR (2024)
Yuxi Liu, Lianghao Xia, Chao Huang
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. CoRR (2024)
Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM (2024)
Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Lianghao Xia, Ben Kao, Chao Huang
OpenGraph: Towards Open Graph Foundation Models. CoRR (2024)
Chaofan Fu, Pengyang Yu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Zongwei Li, Lianghao Xia, Chao Huang
RecDiff: Diffusion Model for Social Recommendation. CoRR (2024)
Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
HiGPT: Heterogeneous Graph Language Model. KDD (2024)
Yuxi Liu, Lianghao Xia, Chao Huang
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. SIGIR (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. CoRR (2024)
Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
Graph Augmentation for Recommendation. ICDE (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR (2024)
Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) (2024)
Shuzhe Li, Wei Chen, Bin Wang, Chao Huang, Yanwei Yu, Junyu Dong
MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR (2024)
Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
A Survey of Large Language Models for Graphs. KDD (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. KDD (2024)
Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu
Dual-Channel Multiplex Graph Neural Networks for Recommendation. CoRR (2024)
Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
A Survey of Large Language Models for Graphs. CoRR (2024)
Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
HiGPT: Heterogeneous Graph Language Model. CoRR (2024)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
GraphEdit: Large Language Models for Graph Structure Learning. CoRR (2024)
Qiyao Ma, Xubin Ren, Chao Huang
XRec: Large Language Models for Explainable Recommendation. CoRR (2024)
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM (2024)
Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW (2024)
Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM (2024)
Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR (2024)
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
Representation Learning with Large Language Models for Recommendation. WWW (2024)
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR (2024)
Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
Multi-Modal Self-Supervised Learning for Recommendation. WWW (2023)
Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. AAAI (2023)
Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
Automated Self-Supervised Learning for Recommendation. WWW (2023)
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
Knowledge Graph Self-Supervised Rationalization for Recommendation. CoRR (2023)
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
Automated Spatio-Temporal Graph Contrastive Learning. WWW (2023)
Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW (2023)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
Spatio-Temporal Meta Contrastive Learning. CoRR (2023)
Jiahao Ji, Wentao Zhang, Jingyuan Wang, Yue He, Chao Huang
Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling. CoRR (2023)
Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR (2023)
Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
Graph Transformer for Recommendation. CoRR (2023)
Yunfei Shi, Bin Wang, Yanwei Yu, Xianfeng Tang, Chao Huang, Junyu Dong
Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. Knowl. Based Syst. 275 (2023)
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD (2023)
Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
Graph Pre-training and Prompt Learning for Recommendation. CoRR (2023)
Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong
Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
Automated Spatio-Temporal Graph Contrastive Learning. CoRR (2023)
Wei Wei, Lianghao Xia, Chao Huang
Multi-Relational Contrastive Learning for Recommendation. RecSys (2023)
Jiabin Tang, Lianghao Xia, Chao Huang
Explainable Spatio-Temporal Graph Neural Networks. CoRR (2023)
Jiabin Tang, Lianghao Xia, Chao Huang
Explainable Spatio-Temporal Graph Neural Networks. CIKM (2023)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. CoRR (2023)
Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
How Expressive are Graph Neural Networks in Recommendation? CoRR (2023)
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS (2023)
Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
DiffKG: Knowledge Graph Diffusion Model for Recommendation. CoRR (2023)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR (2023)
Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
Graph-less Collaborative Filtering. WWW (2023)
Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. KDD (2023)
Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR (2023)
Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
Spatio-Temporal Meta Contrastive Learning. CIKM (2023)
Yaowen Ye, Lianghao Xia, Chao Huang
Graph Masked Autoencoder for Sequential Recommendation. SIGIR (2023)
Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
Graph Transformer for Recommendation. SIGIR (2023)
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR (2023)
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
Representation Learning with Large Language Models for Recommendation. CoRR (2023)
Tianle Wang, Lianghao Xia, Chao Huang
Denoised Self-Augmented Learning for Social Recommendation. IJCAI (2023)
Tianle Wang, Lianghao Xia, Chao Huang
Denoised Self-Augmented Learning for Social Recommendation. CoRR (2023)
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR (2023)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. SIGIR (2023)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
Multi-Behavior Graph Neural Networks for Recommender System. CoRR (2023)
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR (2023)
Yaowen Ye, Lianghao Xia, Chao Huang
Graph Masked Autoencoder for Sequential Recommendation. CoRR (2023)
Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong
Graph Structure Learning on User Mobility Data for Social Relationship Inference. AAAI (2023)
Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
Disentangled Graph Social Recommendation. ICDE (2023)
Wei Wei, Lianghao Xia, Chao Huang
Multi-Relational Contrastive Learning for Recommendation. CoRR (2023)
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
Debiased Contrastive Learning for Sequential Recommendation. WWW (2023)
Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
How Expressive are Graph Neural Networks in Recommendation? CIKM (2023)
Yangqin Jiang, Chao Huang, Lianghao Huang
Adaptive Graph Contrastive Learning for Recommendation. KDD (2023)
Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR (2023)
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS (2023)
Yangqin Jiang, Chao Huang, Lianghao Xia
Adaptive Graph Contrastive Learning for Recommendation. CoRR (2023)
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR (2022)
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR (2022)
Lianghao Xia, Chao Huang, Chuxu Zhang
Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR (2022)
Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
Mutual Distillation Learning Network for Trajectory-User Linking. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
Hypergraph Contrastive Collaborative Filtering. CoRR (2022)
Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
Knowledge Graph Contrastive Learning for Recommendation. CoRR (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE (2022)
Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM (2022)
Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR (2022)
Kai Wang, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
Heterogeneous graph neural network for attribute completion. Knowl. Based Syst. 251 (2022)
Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
Scalable Motif Counting for Large-scale Temporal Graphs. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR (2022)
Lianghao Xia, Chao Huang, Chuxu Zhang
Self-Supervised Hypergraph Transformer for Recommender Systems. KDD (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
Hypergraph Contrastive Collaborative Filtering. SIGIR (2022)
Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. CoRR (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI (2022)
Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
Mutual Distillation Learning Network for Trajectory-User Linking. IJCAI (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chao Huang