Chao Huang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 144

Top Venues

Publications

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)
Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
Knowledge Graph Contrastive Learning for Recommendation. SIGIR (2022)
Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
Scalable Motif Counting for Large-scale Temporal Graphs. ICDE (2022)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. 40 (1) (2022)
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR (2021)
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI (2021)
Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI (2021)
Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR (2021)
Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR (2021)
Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR (2021)
Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM (2021)
Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
Graph Meta Network for Multi-Behavior Recommendation. SIGIR (2021)
Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI (2021)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR (2021)
Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39 (3) (2021)
Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
Graph Meta Network for Multi-Behavior Recommendation. CoRR (2021)
Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI (2021)
Chao Huang, Dong Wang, Nitesh V. Chawla
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems. IEEE Trans. Big Data 6 (4) (2020)
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM (2020)
Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. CoRR (2020)
Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI (2020)
Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM (2020)
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
Few-Shot Knowledge Graph Completion. AAAI (2020)
Chao Huang, Dong Wang, Jun Tao, Brian Mann
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services. IEEE Trans. Big Data 6 (4) (2020)
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR (2020)
Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. CIKM (2020)
Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chao Huang