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ORCIDChao Huang 0001
Person information
- affiliation: University of Hong Kong, Department of Computer Science, Data Mining and Intelligence Lab@HKU, Hong Kong
- affiliation: JD Finance America Corporation, Mountain View, CA, USA
- affiliation: University of Notre Dame, Department of Computer Science and Engineering, IN, USA
Other persons with the same name
- Chao Huang — disambiguation page
- Chao Huang 0002
![[0000-0002-8012-3697]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8012-3697")
— University of Science and Technology Beijing, School of Computer and Communication Engineering, China (and 2 more) - Chao Huang 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Chao Huang 0004 — Shenzhen University, College of Mathematics and Statistics, China (and 1 more)
- Chao Huang 0005 — Florida State University, Department of Statistics, Tallahassee, FL, USA (and 2 more)
- Chao Huang 0006 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 2 more)
- Chao Huang 0007 — Nanjing Audit University, Institute for Social and Economic Research, China (and 1 more)
- Chao Huang 0008 — Harbin Institute of Technology, Shenzhen, China (and 1 more)
- Chao Huang 0009 — Zhejiang University, School of Public Health / Women's Hospital School of Medicine, Hangzhou, China (and 1 more)
- Chao Huang 0010 — Fujian Normal University, College of Mathematics and Informatics / Digital Fujian Internet-of-Things Laboratory of Environmental Monitoring , Fuzhou, China
- Chao Huang 0011 — Microsoft Research Asia, Beijing, China
- Chao Huang 0012 — Beihang University, School of Cyber Science and Technology, Beijing, China (and 1 more)
- Chao Huang 0013 — University of Tokyo, Department of Mechanical Engineering, Japan (and 1 more)
- Chao Huang 0014 — National Institute of Informatics, Tokyo, Japan (and 1 more)
- Chao Huang 0015 — University of Liverpool, Department of Computer Science, Liverpool, UK (and 1 more)
- Chao Huang 0016 — Tencent Hippocrates Research Lab, Palo Alto, CA, USA (and 2 more)
- Chao Huang 0017 — Tianjin University of Technology, China
- Chao Huang 0018 — Tongji University, Department of Control Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Shanghai, China (and 3 more)
- Chao Huang 0019 — Chinese Academy of Sciences, Shanghai Astronomical Observatory, Shanghai, China (and 1 more)
- Chao Huang 0020 — Kyoto University, Disaster Prevention Research Institute, Kyoto, Japan
- Chao Huang 0021 — Nanjing Normal University, School of Electrical and Automation Engineering, Nanjing, China
- Chao Huang 0022 — Jinzhou Medical University, Medical Department of the First Affiliated Hospital, Jinzhou, China
- Chao Huang 0023 — Wuhan University, School of Geodesy and Geomatics, Wuhan, China
- Chao Huang 0024 — Xiamen Great Power Geo Information Technology Company Ltd., Xiamen, China
- Chao Huang 0025 — Chongqing University of Science and Technology, School of Safety Engineering, Chongqing, China
- Chao Huang 0026 — Alibaba Group (and 1 more)
- Chao Huang 0027 — Kent State University, Cognitive Robotics and AI Lab, CRAI, College of Aeronautics and Engineering, OH, USA
- Chao Huang 0028 — UC Davis, Department of Computer Science, CA, USA (and 1 more)
- Chao Huang 0029 — University of Illinois, Urbana-Champaign, Department of Computer Science, Thomas M.Siebel Center, Department of Computer Science, Urbana, IL, USA
- Chao Huang 0030 — Northwest A&F University, Lab of Systems Pharmacology, Center of Bioinformatics, College of Life Science, Yangling, China,
- Chao Huang 0031 — Jiangxi Agricultural University, College of Forestry, Nanchang, China (and 1 more)
- Chao Huang 0032 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, China (and 1 more)
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2020 – today
- 2024
[j18]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): 51:1-51:25 (2024)- [j17]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): 85:1-85:22 (2024) - [j16]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): 5473-5487 (2024) - [j15]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): 105:1-105:26 (2024) - [c117]Zongwei Li, Lianghao Xia, Chao Huang:
RecDiff: Diffusion Model for Social Recommendation. CIKM 2024: 1346-1355 - [c116]Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang:
EasyST: A Simple Framework for Spatio-Temporal Prediction. CIKM 2024: 2220-2229 - [c115]Qiyao Ma, Xubin Ren, Chao Huang:
XRec: Large Language Models for Explainable Recommendation. EMNLP (Findings) 2024: 391-402 - [c114]Lianghao Xia, Ben Kao, Chao Huang:
OpenGraph: Towards Open Graph Foundation Models. EMNLP (Findings) 2024: 2365-2379 - [c113]Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen:
Graph Augmentation for Recommendation. ICDE 2024: 557-569 - [c112]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML 2024 - [c111]Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu:
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. KDD 2024: 2651-2662 - [c110]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. KDD 2024: 2842-2853 - [c109]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c108]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. KDD 2024: 6616-6626 - [c107]Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang:
DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia 2024: 7591-7599 - [c106]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) 2024: 21-38 - [c105]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: 491-500 - [c104]Yuxi Liu, Lianghao Xia, Chao Huang:
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. SIGIR 2024: 1609-1618 - [c103]Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM 2024: 313-321 - [c102]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM 2024: 567-575 - [c101]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: 806-815 - [c100]Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) 2024: 1284-1287 - [c99]Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW 2024: 3217-3228 - [c98]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: 3464-3475 - [c97]Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang:
GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW 2024: 3690-3699 - [i83]Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu:
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline. CoRR abs/2402.15113 (2024) - [i82]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 abs/2402.15183 (2024) - [i81]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. CoRR abs/2402.16024 (2024) - [i80]Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR abs/2402.17188 (2024) - [i79]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i78]Lianghao Xia, Ben Kao, Chao Huang:
OpenGraph: Towards Open Graph Foundation Models. CoRR abs/2403.01121 (2024) - [i77]Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu:
Dual-Channel Multiplex Graph Neural Networks for Recommendation. CoRR abs/2403.11624 (2024) - [i76]Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen:
Graph Augmentation for Recommendation. CoRR abs/2403.16656 (2024) - [i75]Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang:
A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR abs/2404.03354 (2024) - [i74]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. CoRR abs/2405.08011 (2024) - [i73]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR abs/2405.17898 (2024) - [i72]Yuxi Liu, Lianghao Xia, Chao Huang:
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. CoRR abs/2405.20878 (2024) - [i71]Zongwei Li, Lianghao Xia, Chao Huang:
RecDiff: Diffusion Model for Social Recommendation. CoRR abs/2406.01629 (2024) - [i70]Qiyao Ma, Xubin Ren, Chao Huang:
XRec: Large Language Models for Explainable Recommendation. CoRR abs/2406.02377 (2024) - [i69]Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang:
DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR abs/2406.11781 (2024) - [i68]Xubin Ren, Chao Huang:
EasyRec: Simple yet Effective Language Models for Recommendation. CoRR abs/2408.08821 (2024) - [i67]Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang:
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR abs/2408.10269 (2024) - [i66]Lianghao Xia, Chao Huang:
AnyGraph: Graph Foundation Model in the Wild. CoRR abs/2408.10700 (2024) - [i65]Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang:
EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR abs/2409.06748 (2024) - [i64]Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR abs/2410.02736 (2024) - [i63]Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang:
LightRAG: Simple and Fast Retrieval-Augmented Generation. CoRR abs/2410.05779 (2024) - [i62]Xiang Li, Changsheng Shui, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong:
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion. CoRR abs/2411.01376 (2024) - 2023
- [j14]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: 110725 (2023) - [j13]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): 53:1-53:22 (2023) - [j12]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35(6): 6099-6112 (2023) - [c96]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: 4356-4364 - [c95]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: 4578-4586 - [c94]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CIKM 2023: 173-182 - [c93]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CIKM 2023: 2412-2421 - [c92]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CIKM 2023: 2432-2441 - [c91]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE 2023: 246-258 - [c90]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. ICDE 2023: 2332-2344 - [c89]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR 2023 - [c88]Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang:
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML 2023: 41133-41150 - [c87]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han:
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. ICML 2023: 41151-41163 - [c86]Tianle Wang, Lianghao Xia, Chao Huang:
Denoised Self-Augmented Learning for Social Recommendation. IJCAI 2023: 2324-2331 - [c85]Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong:
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. KDD 2023: 482-494 - [c84]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD 2023: 3046-3056 - [c83]Yangqin Jiang, Chao Huang, Lianghao Huang:
Adaptive Graph Contrastive Learning for Recommendation. KDD 2023: 4252-4261 - [c82]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS 2023 - [c81]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 - [c80]Wei Wei, Lianghao Xia, Chao Huang:
Multi-Relational Contrastive Learning for Recommendation. RecSys 2023: 338-349 - [c79]Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. SIGIR 2023: 321-330 - [c78]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c77]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. SIGIR 2023: 1680-1689 - [c76]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. WSDM 2023: 544-552 - [c75]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. WWW 2023: 17-27 - [c74]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: 28-38 - [c73]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu:
Automated Spatio-Temporal Graph Contrastive Learning. WWW 2023: 295-305 - [c72]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. WWW 2023: 790-800 - [c71]Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao:
Automated Self-Supervised Learning for Recommendation. WWW 2023: 992-1002 - [c70]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin:
Debiased Contrastive Learning for Sequential Recommendation. WWW 2023: 1063-1073 - [i61]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 abs/2301.12603 (2023) - [i60]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR abs/2302.08191 (2023) - [i59]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. CoRR abs/2302.08678 (2023) - [i58]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. CoRR abs/2302.10632 (2023) - [i57]Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong:
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. CoRR abs/2302.10903 (2023) - [i56]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. CoRR abs/2303.00995 (2023) - [i55]Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao:
Automated Self-Supervised Learning for Recommendation. CoRR abs/2303.07797 (2023) - [i54]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. CoRR abs/2303.07810 (2023) - [i53]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. CoRR abs/2303.08537 (2023) - [i52]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin:
Debiased Contrastive Learning for Sequential Recommendation. CoRR abs/2303.11780 (2023) - [i51]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - [i50]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu:
Automated Spatio-Temporal Graph Contrastive Learning. CoRR abs/2305.03920 (2023) - [i49]Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. CoRR abs/2305.04619 (2023) - [i48]Yangqin Jiang, Chao Huang, Lianghao Xia:
Adaptive Graph Contrastive Learning for Recommendation. CoRR abs/2305.10837 (2023) - [i47]Tianle Wang, Lianghao Xia, Chao Huang:
Denoised Self-Augmented Learning for Social Recommendation. CoRR abs/2305.12685 (2023) - [i46]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. CoRR abs/2306.02330 (2023) - [i45]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 abs/2306.08259 (2023) - [i44]Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han:
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. CoRR abs/2306.10683 (2023) - [i43]Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. CoRR abs/2307.02759 (2023) - [i42]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR abs/2308.05697 (2023) - [i41]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CoRR abs/2308.11127 (2023) - [i40]Wei Wei, Lianghao Xia, Chao Huang:
Multi-Relational Contrastive Learning for Recommendation. CoRR abs/2309.01103 (2023) - [i39]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 abs/2310.13023 (2023) - [i38]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 abs/2310.15950 (2023) - [i37]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CoRR abs/2310.17149 (2023) - [i36]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CoRR abs/2310.17678 (2023) - [i35]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. CoRR abs/2311.00423 (2023) - [i34]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR abs/2311.04245 (2023) - [i33]Jiahao Ji, Wentao Zhang, Jingyuan Wang, Yue He, Chao Huang:
Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling. CoRR abs/2311.12472 (2023) - [i32]Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang:
Graph Pre-training and Prompt Learning for Recommendation. CoRR abs/2311.16716 (2023) - [i31]Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. CoRR abs/2312.16890 (2023) - 2022
- [j11]Kai Wang, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong:
Heterogeneous graph neural network for attribute completion. Knowl. Based Syst. 251: 109171 (2022) - [j10]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): 97:1-97:21 (2022) - [j9]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): 10:1-10:22 (2022) - [c69]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: 2519-2528 - [c68]Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommendation. CIKM 2022: 5136-5139 - [c67]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - [c66]Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong:
Scalable Motif Counting for Large-scale Temporal Graphs. ICDE 2022: 2656-2668 - [c65]