Chao Huang

发表

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Knowledge Graph Contrastive Learning for Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Mutual Distillation Learning Network for Trajectory-User Linking

W. Chen, Junyu Dong, Chao Huang, 2022, IJCAI.

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).

Knowledge Graph Contrastive Learning for Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, SIGIR.

Hypergraph Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2022, SIGIR.

Quantifying the Impact of Label Noise on Federated Learning

Chao Huang, Shuqi Ke, Xin Liu, 2022, ArXiv.

When do contrastive learning signals help spatio-temporal graph forecasting?

Bryan Hooi, Roger Zimmermann, Yu Zheng, 2021, SIGSPATIAL/GIS.

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation

Xiangliang Zhang, Chao Huang, Chuxu Zhang, 2022, CIKM.

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning

Chao Huang, Chuxu Zhang, Yanfang Ye, 2022, ArXiv.

Self-Supervised Hypergraph Transformer for Recommender Systems

Chao Huang, Lianghao Xia, Chuxu Zhang, 2022, KDD.

Quantifying the Impact of Label Noise on Federated Learning

Chao Huang, Shuqi Ke, Xin Liu, 2022, ArXiv.

Incentivizing Data Contribution in Cross-Silo Federated Learning

Chao Huang, Huan Zhang, Xin Liu, 2022, ArXiv.

Multi-Behavior Graph Neural Networks for Recommender System

Liefeng Bo, Chao Huang, Lianghao Xia, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Graph Masked Autoencoder for Sequential Recommendation

Chao Huang, Lianghao Xia, Yaowen Ye, 2023, ArXiv.

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Xubin Ren, 2023, ArXiv.

Heterogeneous Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, WSDM.

Multi-Modal Self-Supervised Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WWW.

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

Jiashu Zhao, Dawei Yin, Chao Huang, 2022, WSDM.

Fair Graph Representation Learning via Diverse Mixture-of-Experts

Chao Huang, Chuxu Zhang, Yanfang Ye, 2023, WWW.

Disentangled Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2023, arXiv.org.

Automated Self-Supervised Learning for Recommendation

Chao Huang, Lianghao Xia, Ben Kao, 2023, WWW.

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Xubin Ren, 2023, ICLR.

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, KDD.

Graph Transformer for Recommendation

Chao Li, Chao Huang, Lianghao Xia, 2023, SIGIR.

Automated Spatio-Temporal Graph Contrastive Learning

Zheng Wang, Qianru Zhang, Chao Huang, 2023, WWW.

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation

Zheng Wang, Qianru Zhang, Chao Huang, 2023, ArXiv.

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer

Chao Huang, Lianghao Xia, Yong Xu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Multi-Modal Self-Supervised Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WWW.

Knowledge Graph Self-Supervised Rationalization for Recommendation

Chao Huang, Lianghao Xia, Chunzhen Huang, 2023, KDD.

Adaptive Graph Contrastive Learning for Recommendation

Chao Huang, Ya Jiang, Liang-Ying Huang, 2023, KDD.

Denoised Self-Augmented Learning for Social Recommendation

Chao Huang, Lianghao Xia, Tianle Wang, 2023, International Joint Conference on Artificial Intelligence.

SSLRec: A Self-Supervised Learning Library for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, ArXiv.

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

N. Chawla, Ronald Metoyer, Chao Huang, 2022, IJCAI.

Disentangled Graph Social Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Inductive Contextual Relation Learning for Personalization

Nitesh V. Chawla, Dongjin Song, Huaxiu Yao, 2021, ACM Trans. Inf. Syst..

Self-Supervised Learning for Recommender System

Xiangnan He, Xiang Wang, Dawei Yin, 2022, SIGIR.

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations

Chao Huang, Chuxu Zhang, Yanfang Ye, 2023, ICML.

GraphPro: Graph Pre-training and Prompt Learning for Recommendation

Chao Huang, Lianghao Xia, Kangyi Lin, 2023, WWW.

Graph-less Collaborative Filtering

Chao Huang, Lianghao Xia, Yong Xu, 2023, WWW.

A Collaborative Deep and Shallow Semisupervised Learning Framework for Mobile App Classification

Ting Wang, Chao Huang, Mingqi Lv, 2020, Mob. Inf. Syst..

Recent Advances in Heterogeneous Relation Learning for Recommendation pdf

Chao Huang, Chao Huang, 2021, IJCAI.

When do contrastive learning signals help spatio-temporal graph forecasting?

Bryan Hooi, Roger Zimmermann, Yu Zheng, 2021, SIGSPATIAL/GIS.

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction

Chao Huang, Lianghao Xia, Yong Xu, 2024, ArXiv.

Heterogeneous Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, WSDM.

RecDiff: Diffusion Model for Social Recommendation

Chao Huang, Lianghao Xia, Zongwei Li, 2024, 2406.01629.

DiffKG: Knowledge Graph Diffusion Model for Recommendation

Chao Huang, Lianghao Xia, Ya Jiang, 2023, WSDM.

Disentangled Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2023, SIGIR.

Self-Supervised Learning for Recommendation

Xiangnan He, Xiang Wang, Dawei Yin, 2022, CIKM.

Debiased Contrastive Learning for Sequential Recommendation

Chao Huang, Lianghao Xia, Dave Luo, 2023, The Web Conference.

SSLRec: A Self-Supervised Learning Framework for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WSDM.

Graph Masked Autoencoder for Sequential Recommendation

Chao Huang, Lianghao Xia, Yaowen Ye, 2023, SIGIR.

Multi-Relational Contrastive Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, RecSys.