Lianghao Xia - RankMe

131 papers A* 40A 16Journal 72Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. ACM Comput. Surv. Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2025	J	`jnl`	AI-Researcher: Autonomous Scientific Innovation. CoRR Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang
2025	J	`jnl`	Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity. CoRR Guowen Yuan, Tien-Hsuan Wu, Lianghao Xia, Ben Kao
2025	A*	`conf`	Collaborative Diffusion Models for Recommendation. SIGIR Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
2025	A	`conf`	DiffGraph: Heterogeneous Graph Diffusion Model. WSDM Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025	J	`jnl`	DiffGraph: Heterogeneous Graph Diffusion Model. CoRR Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025	A*	`conf`	GraphAgent: Agentic Graph Language Assistant. EMNLP Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2025	A	`conf`	LightGNN: Simple Graph Neural Network for Recommendation. WSDM Guoxuan Chen, Lianghao Xia, Chao Huang
2025	J	`jnl`	LightGNN: Simple Graph Neural Network for Recommendation. CoRR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	—	`conf`	LightRAG: Simple and Fast Retrieval-Augmented Generation. EMNLP (Findings) Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2025	J	`jnl`	MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs. CoRR Jiani Huang, Xingchen Zou, Lianghao Xia, Qing Li
2025	A	`conf`	MixRec: Heterogeneous Graph Collaborative Filtering. WSDM Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2025	A*	`conf`	Pre-training for Recommendation Unlearning. SIGIR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	J	`jnl`	Pre-training for Recommendation Unlearning. CoRR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	A*	`conf`	RecGPT: A Foundation Model for Sequential Recommendation. EMNLP Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	RecGPT: A Foundation Model for Sequential Recommendation. CoRR Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	—	`conf`	RecLM: Recommendation Instruction Tuning. ACL (1) Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. ACM Trans. Intell. Syst. Technol. Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2024	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2024	J	`jnl`	AnyGraph: Graph Foundation Model in the Wild. CoRR Lianghao Xia, Chao Huang
2024	A	`conf`	DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2024	A*	`conf`	DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	A	`conf`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CIKM Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	J	`jnl`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	A*	`conf`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	J	`jnl`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	A*	`conf`	Graph Augmentation for Recommendation. ICDE Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024	J	`jnl`	Graph Augmentation for Recommendation. CoRR Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024	J	`jnl`	GraphAgent: Agentic Graph Language Assistant. CoRR Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2024	J	`jnl`	GraphEdit: Large Language Models for Graph Structure Learning. CoRR Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
2024	A*	`conf`	GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	LightRAG: Simple and Fast Retrieval-Augmented Generation. CoRR Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2024	J	`jnl`	MixRec: Heterogeneous Graph Collaborative Filtering. CoRR Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2024	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2024	—	`conf`	OpenGraph: Towards Open Graph Foundation Models. EMNLP (Findings) Lianghao Xia, Ben Kao, Chao Huang
2024	J	`jnl`	OpenGraph: Towards Open Graph Foundation Models. CoRR Lianghao Xia, Ben Kao, Chao Huang
2024	A*	`conf`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang
2024	J	`jnl`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
2024	A	`conf`	RecDiff: Diffusion Model for Social Recommendation. CIKM Zongwei Li, Lianghao Xia, Chao Huang
2024	J	`jnl`	RecDiff: Diffusion Model for Social Recommendation. CoRR Zongwei Li, Lianghao Xia, Chao Huang
2024	J	`jnl`	RecLM: Recommendation Instruction Tuning. CoRR Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	A*	`conf`	Representation Learning with Large Language Models for Recommendation. WWW Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	A	`conf`	SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2024	A*	`conf`	SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. SIGIR Yuxi Liu, Lianghao Xia, Chao Huang
2024	J	`jnl`	SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. CoRR Yuxi Liu, Lianghao Xia, Chao Huang
2024	A*	`conf`	UrbanGPT: Spatio-Temporal Large Language Models. KDD Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	UrbanGPT: Spatio-Temporal Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2023	J	`jnl`	Adaptive Graph Contrastive Learning for Recommendation. CoRR Yangqin Jiang, Chao Huang, Lianghao Xia
2023	A*	`conf`	Automated Self-Supervised Learning for Recommendation. WWW Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	J	`jnl`	Automated Self-Supervised Learning for Recommendation. CoRR Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	A*	`conf`	Automated Spatio-Temporal Graph Contrastive Learning. WWW Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
2023	J	`jnl`	Automated Spatio-Temporal Graph Contrastive Learning. CoRR Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
2023	A*	`conf`	Debiased Contrastive Learning for Sequential Recommendation. WWW Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	J	`jnl`	Debiased Contrastive Learning for Sequential Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	A*	`conf`	Denoised Self-Augmented Learning for Social Recommendation. IJCAI Tianle Wang, Lianghao Xia, Chao Huang
2023	J	`jnl`	Denoised Self-Augmented Learning for Social Recommendation. CoRR Tianle Wang, Lianghao Xia, Chao Huang
2023	J	`jnl`	DiffKG: Knowledge Graph Diffusion Model for Recommendation. CoRR Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2023	A*	`conf`	Disentangled Contrastive Collaborative Filtering. SIGIR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	J	`jnl`	Disentangled Contrastive Collaborative Filtering. CoRR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	A*	`conf`	Disentangled Graph Social Recommendation. ICDE Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	J	`jnl`	Disentangled Graph Social Recommendation. CoRR Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	A	`conf`	Explainable Spatio-Temporal Graph Neural Networks. CIKM Jiabin Tang, Lianghao Xia, Chao Huang
2023	J	`jnl`	Explainable Spatio-Temporal Graph Neural Networks. CoRR Jiabin Tang, Lianghao Xia, Chao Huang
2023	A*	`conf`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	J	`jnl`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	A*	`conf`	Graph Masked Autoencoder for Sequential Recommendation. SIGIR Yaowen Ye, Lianghao Xia, Chao Huang
2023	J	`jnl`	Graph Masked Autoencoder for Sequential Recommendation. CoRR Yaowen Ye, Lianghao Xia, Chao Huang
2023	J	`jnl`	Graph Pre-training and Prompt Learning for Recommendation. CoRR Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2023	A*	`conf`	Graph Transformer for Recommendation. SIGIR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	J	`jnl`	Graph Transformer for Recommendation. CoRR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	A*	`conf`	Graph-less Collaborative Filtering. WWW Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	J	`jnl`	Graph-less Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	A	`conf`	Heterogeneous Graph Contrastive Learning for Recommendation. WSDM Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Heterogeneous Graph Contrastive Learning for Recommendation. CoRR Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	A	`conf`	How Expressive are Graph Neural Networks in Recommendation? CIKM Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	J	`jnl`	How Expressive are Graph Neural Networks in Recommendation? CoRR Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	A*	`conf`	Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023	J	`jnl`	Knowledge Graph Self-Supervised Rationalization for Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023	A*	`conf`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2023	J	`jnl`	Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2023	A*	`conf`	Multi-Modal Self-Supervised Learning for Recommendation. WWW Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	J	`jnl`	Multi-Modal Self-Supervised Learning for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	A	`conf`	Multi-Relational Contrastive Learning for Recommendation. RecSys Wei Wei, Lianghao Xia, Chao Huang
2023	J	`jnl`	Multi-Relational Contrastive Learning for Recommendation. CoRR Wei Wei, Lianghao Xia, Chao Huang
2023	J	`jnl`	Representation Learning with Large Language Models for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	J	`jnl`	SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2023	A*	`conf`	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. ICML Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han
2023	J	`jnl`	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. CoRR Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han
2023	A	`conf`	Spatio-Temporal Meta Contrastive Learning. CIKM Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
2023	J	`jnl`	Spatio-Temporal Meta Contrastive Learning. CoRR Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	A	`conf`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	A*	`conf`	Hypergraph Contrastive Collaborative Filtering. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022	J	`jnl`	Hypergraph Contrastive Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
2022	A*	`conf`	Knowledge Graph Contrastive Learning for Recommendation. SIGIR Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022	J	`jnl`	Knowledge Graph Contrastive Learning for Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022	J	`jnl`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2022	A*	`conf`	Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022	J	`jnl`	Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022	J	`jnl`	Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2022	A*	`conf`	Self-Supervised Hypergraph Transformer for Recommender Systems. KDD Lianghao Xia, Chao Huang, Chuxu Zhang
2022	J	`jnl`	Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Chuxu Zhang
2022	A	`conf`	Self-Supervised Learning for Recommendation. CIKM Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022	A*	`conf`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	J	`jnl`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2021	A*	`conf`	Graph Meta Network for Multi-Behavior Recommendation. SIGIR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Graph Meta Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	A*	`conf`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	A*	`conf`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	J	`jnl`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	A*	`conf`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	A*	`conf`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2021	J	`jnl`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2021	A	`conf`	Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	J	`jnl`	Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	A*	`conf`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	A*	`conf`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021	J	`jnl`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2020	A*	`conf`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020	A*	`conf`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2020	A	`conf`	Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia