Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. - Xiyue Zhang 006; Chao Huang 001; Yong Xu 007; Lianghao Xia (CIKM, 2020)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. - Huance Xu; Chao Huang 001; Yong Xu 007; Lianghao Xia; Hao Xing; Dawei Yin (ICDM, 2020)

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Bo Zhang; Liefeng Bo (SIGIR, 2020)

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. - Chao Huang 001; Jiahui Chen; Lianghao Xia; Yong Xu 007; Peng Dai 001; Yanqing Chen; Liefeng Bo; Jiashu Zhao; Jimmy Xiangji Huang (AAAI, 2021)

Knowledge-aware Coupled Graph Neural Network for Social Recommendation. - Chao Huang 001; Huance Xu; Yong Xu 007; Peng Dai 001; Lianghao Xia; Mengyin Lu; Liefeng Bo; Hao Xing; Xiaoping Lai; Yanfang Ye 001 (AAAI, 2021)

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Xiyue Zhang 006; Hongsheng Yang; Jian Pei 001; Liefeng Bo (AAAI, 2021)

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. - Xiyue Zhang 006; Chao Huang 001; Yong Xu 007; Lianghao Xia; Peng Dai 001; Liefeng Bo; Junbo Zhang; Yu Zheng 004 (AAAI, 2021)

Social Recommendation with Self-Supervised Metagraph Informax Network. - Xiaoling Long; Chao Huang 001; Yong Xu 007; Huance Xu; Peng Dai 001; Lianghao Xia; Liefeng Bo (CIKM, 2021)

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Mengyin Lu; Liefeng Bo (ICDE, 2021)

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Liefeng Bo; Xiyue Zhang 006; Tianyi Chen (IJCAI, 2021)

Graph Meta Network for Multi-Behavior Recommendation. - Lianghao Xia; Yong Xu 007; Chao Huang 001; Peng Dai 001; Liefeng Bo (SIGIR, 2021)

Self-Supervised Learning for Recommendation. - Chao Huang 001; Lianghao Xia; Xiang Wang 010; Xiangnan He 001; Dawei Yin (CIKM, 2022)

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. - Zhonghang Li; Chao Huang 001; Lianghao Xia; Yong Xu 007; Jian Pei 001 (ICDE, 2022)

Self-Supervised Hypergraph Transformer for Recommender Systems. - Lianghao Xia; Chao Huang 001; Chuxu Zhang (KDD, 2022)

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Yuxuan Liang; Yanwei Yu; Chenliang Li (KDD, 2022)

Hypergraph Contrastive Collaborative Filtering. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Jiashu Zhao; Dawei Yin; Jimmy X. Huang (SIGIR, 2022)

Knowledge Graph Contrastive Learning for Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Chenliang Li (SIGIR, 2022)

Contrastive Meta Learning with Behavior Multiplicity for Recommendation. - Wei Wei 027; Chao Huang 001; Lianghao Xia; Yong Xu 007; Jiashu Zhao; Dawei Yin (WSDM, 2022)

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Liefeng Bo; Xiyue Zhang 006; Tianyi Chen (CoRR, 2022)

Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Huance Xu; Xiang Li 111; Weiguo Zhang 002 (ACM Trans. Inf. Syst., 2022)

How Expressive are Graph Neural Networks in Recommendation? - Xuheng Cai; Lianghao Xia; Xubin Ren; Chao Huang 001 (CIKM, 2023)

Spatio-Temporal Meta Contrastive Learning. - Jiabin Tang; Lianghao Xia; Jie Hu 007; Chao Huang 001 (CIKM, 2023)

Explainable Spatio-Temporal Graph Neural Networks. - Jiabin Tang; Lianghao Xia; Chao Huang 001 (CIKM, 2023)

Disentangled Graph Social Recommendation. - Lianghao Xia; Yizhen Shao; Chao Huang 001; Yong Xu 007; Huance Xu; Jian Pei 001 (ICDE, 2023)

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. - Xuheng Cai; Chao Huang 001; Lianghao Xia; Xubin Ren (ICLR, 2023)

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. - Qianru Zhang; Chao Huang 001; Lianghao Xia; Zheng Wang 046; Siu Ming Yiu; Ruihua Han (ICML, 2023)

Denoised Self-Augmented Learning for Social Recommendation. - Tianle Wang 006; Lianghao Xia; Chao Huang 001 (IJCAI, 2023)

Knowledge Graph Self-Supervised Rationalization for Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Chunzhen Huang (KDD, 2023)

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. - Zhonghang Li; Lianghao Xia; Yong Xu 007; Chao Huang 001 (NeurIPS, 2023)

Multi-Relational Contrastive Learning for Recommendation. - Wei Wei 027; Lianghao Xia; Chao Huang 001 (RecSys, 2023)

Graph Transformer for Recommendation. - Chaoliu Li; Lianghao Xia; Xubin Ren; Yaowen Ye; Yong Xu 007; Chao Huang 001 (SIGIR, 2023)

Disentangled Contrastive Collaborative Filtering. - Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin; Chao Huang 001 (SIGIR, 2023)

Graph Masked Autoencoder for Sequential Recommendation. - Yaowen Ye; Lianghao Xia; Chao Huang 001 (SIGIR, 2023)

Heterogeneous Graph Contrastive Learning for Recommendation. - Mengru Chen; Chao Huang 001; Lianghao Xia; Wei Wei 027; Yong Xu 007; Ronghua Luo (WSDM, 2023)

Multi-Modal Self-Supervised Learning for Recommendation. - Wei Wei 027; Chao Huang 001; Lianghao Xia; Chuxu Zhang (WWW, 2023)

Automated Self-Supervised Learning for Recommendation. - Lianghao Xia; Chao Huang 001; Chunzhen Huang; Kangyi Lin; Tao Yu 009; Ben Kao (WWW, 2023)

Graph-less Collaborative Filtering. - Lianghao Xia; Chao Huang 001; Jiao Shi; Yong Xu 007 (WWW, 2023)

Debiased Contrastive Learning for Sequential Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Chunzhen Huang; Da Luo; Kangyi Lin (WWW, 2023)

Automated Spatio-Temporal Graph Contrastive Learning. - Qianru Zhang; Chao Huang 001; Lianghao Xia; Zheng Wang 046; Zhonghang Li; Siu-Ming Yiu (WWW, 2023)

Adaptive Graph Contrastive Learning for Recommendation. - Yangqin Jiang; Chao Huang 001; Lianghao Xia (CoRR, 2023)

SSLRec: A Self-Supervised Learning Library for Recommendation. - Xubin Ren; Lianghao Xia; Yuhao Yang 002; Wei Wei 027; Tianle Wang 006; Xuheng Cai; Chao Huang 001 (CoRR, 2023)

Graph Pre-training and Prompt Learning for Recommendation. - Yuhao Yang 002; Lianghao Xia; Da Luo; Kangyi Lin; Chao Huang 001 (CoRR, 2023)

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2023)

RecDiff: Diffusion Model for Social Recommendation. - Zongwei Li; Lianghao Xia; Chao Huang 001 (CIKM, 2024)

EasyST: A Simple Framework for Spatio-Temporal Prediction. - Jiabin Tang; Wei Wei 027; Lianghao Xia; Chao Huang 001 (CIKM, 2024)

OpenGraph: Towards Open Graph Foundation Models. - Lianghao Xia; Ben Kao; Chao Huang 001 (EMNLP (Findings), 2024)

Graph Augmentation for Recommendation. - Qianru Zhang; Lianghao Xia; Xuheng Cai; Siu-Ming Yiu; Chao Huang 001; Christian S. Jensen (ICDE, 2024)

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. - Zhonghang Li; Lianghao Xia; Yong Xu 007; Chao Huang 001 (ICML, 2024)

UrbanGPT: Spatio-Temporal Large Language Models. - Zhonghang Li; Lianghao Xia; Jiabin Tang; Yong Xu 007; Lei Shi; Long Xia; Dawei Yin; Chao Huang 001 (KDD, 2024)

DiffMM: Multi-Modal Diffusion Model for Recommendation. - Yangqin Jiang; Lianghao Xia; Wei Wei 027; Da Luo; Kangyi Lin; Chao Huang 001 (ACM Multimedia, 2024)

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. - Yuxi Liu; Lianghao Xia; Chao Huang 001 (SIGIR, 2024)

DiffKG: Knowledge Graph Diffusion Model for Recommendation. - Yangqin Jiang; Yuhao Yang 002; Lianghao Xia; Chao Huang 001 (WSDM, 2024)

SSLRec: A Self-Supervised Learning Framework for Recommendation. - Xubin Ren; Lianghao Xia; Yuhao Yang 002; Wei Wei 027; Tianle Wang 006; Xuheng Cai; Chao Huang 001 (WSDM, 2024)

GraphPro: Graph Pre-training and Prompt Learning for Recommendation. - Yuhao Yang 002; Lianghao Xia; Da Luo; Kangyi Lin; Chao Huang 001 (WWW, 2024)

Representation Learning with Large Language Models for Recommendation. - Xubin Ren; Wei Wei 027; Lianghao Xia; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin; Chao Huang 001 (WWW, 2024)

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. - Wei Wei 027; Jiabin Tang; Lianghao Xia; Yangqin Jiang; Chao Huang 001 (WWW, 2024)

GraphEdit: Large Language Models for Graph Structure Learning. - Zirui Guo; Lianghao Xia; Yanhua Yu; Yuling Wang; Zixuan Yang; Wei Wei 027; Liang Pang; Tat-Seng Chua; Chao Huang 001 (CoRR, 2024)

A Comprehensive Survey on Self-Supervised Learning for Recommendation. - Xubin Ren; Wei Wei 027; Lianghao Xia; Chao Huang 001 (CoRR, 2024)

AnyGraph: Graph Foundation Model in the Wild. - Lianghao Xia; Chao Huang 001 (CoRR, 2024)

LightRAG: Simple and Fast Retrieval-Augmented Generation. - Zirui Guo; Lianghao Xia; Yanhua Yu; Tu Ao; Chao Huang 001 (CoRR, 2024)

GraphAgent: Agentic Graph Language Assistant. - Yuhao Yang 002; Jiabin Tang; Lianghao Xia; Xingchen Zou; Yuxuan Liang; Chao Huang 001 (CoRR, 2024)

Multi-Behavior Graph Neural Networks for Recommender System. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Peng Dai 001; Liefeng Bo (IEEE Trans. Neural Networks Learn. Syst., 2024)

RecLM: Recommendation Instruction Tuning. - Yangqin Jiang; Yuhao Yang 002; Lianghao Xia; Da Luo; Kangyi Lin; Chao Huang 001 (ACL (1), 2025)

Pre-training for Recommendation Unlearning. - Guoxuan Chen; Lianghao Xia; Chao Huang 001 (SIGIR, 2025)

Collaborative Diffusion Models for Recommendation. - Mengru Chen; Lianghao Xia; Yong Xu 007; Ronghua Luo (SIGIR, 2025)

LightGNN: Simple Graph Neural Network for Recommendation. - Guoxuan Chen; Lianghao Xia; Chao Huang 001 (WSDM, 2025)

DiffGraph: Heterogeneous Graph Diffusion Model. - Zongwei Li; Lianghao Xia; Hua Hua; Shijie Zhang; Shuangyang Wang; Chao Huang 001 (WSDM, 2025)

MixRec: Heterogeneous Graph Collaborative Filtering. - Lianghao Xia; Meiyan Xie; Yong Xu 007; Chao Huang 001 (WSDM, 2025)

Urban Computing in the Era of Large Language Models. - Zhonghang Li; Lianghao Xia; Xubin Ren; Jiabin Tang; Tianyi Chen; Yong Xu 007; Chao Huang 001 (CoRR, 2025)

AI-Researcher: Autonomous Scientific Innovation. - Jiabin Tang; Lianghao Xia; Zhonghang Li; Chao Huang 001 (CoRR, 2025)

RecGPT: A Foundation Model for Sequential Recommendation. - Yangqin Jiang; Xubin Ren; Lianghao Xia; Da Luo; Kangyi Lin; Chao Huang 001 (CoRR, 2025)

Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity. - Guowen Yuan; Tien-Hsuan Wu; Lianghao Xia; Ben Kao (CoRR, 2025)