Lianghao Xia

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 101

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)
Lianghao Xia, Ben Kao, Chao Huang
OpenGraph: Towards Open Graph Foundation Models. CoRR (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)
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)
Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR (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)
Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
A Comprehensive Survey on Self-Supervised Learning for Recommendation. 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)
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)
Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
Automated Self-Supervised Learning for Recommendation. WWW (2023)
Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
Graph-less Collaborative Filtering. CoRR (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)
Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
Heterogeneous Graph Contrastive Learning for Recommendation. WSDM (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)
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)
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD (2023)
Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
Multi-Modal Self-Supervised Learning for Recommendation. CoRR (2023)
Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
Graph Pre-training and Prompt Learning for Recommendation. CoRR (2023)
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
Debiased Contrastive Learning for Sequential Recommendation. CoRR (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)
Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
Automated Self-Supervised Learning for Recommendation. CoRR (2023)
Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
Heterogeneous Graph Contrastive Learning for Recommendation. CoRR (2023)
Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
Graph-less Collaborative Filtering. WWW (2023)
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. ICML (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)
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)
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)
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)
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. 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)
Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
Disentangled Graph Social Recommendation. CoRR (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)
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)
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. 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)
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)
Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR (2022)
Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
Self-Supervised Learning for Recommendation. CIKM (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)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
Hypergraph Contrastive Collaborative Filtering. SIGIR (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)
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)
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM (2022)
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD (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)
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)
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lianghao Xia