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Lianghao Xia

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

58

Venues

14

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

58 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLAnyGraph: Graph Foundation Model in the Wild.Lianghao Xia, Chao Huang
2025ACLRecLM: Recommendation Instruction Tuning.Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025EMNLPLightRAG: Simple and Fast Retrieval-Augmented Generation.Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2025EMNLPRecGPT: A Foundation Model for Sequential Recommendation.Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025EMNLPGraphAgent: Agentic Graph Language Assistant.Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2025SIGIRPre-training for Recommendation Unlearning.Guoxuan Chen, Lianghao Xia, Chao Huang
2025SIGIRCollaborative Diffusion Models for Recommendation.Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
2025WSDMLightGNN: Simple Graph Neural Network for Recommendation.Guoxuan Chen, Lianghao Xia, Chao Huang
2025WSDMDiffGraph: Heterogeneous Graph Diffusion Model.Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025WSDMMixRec: Heterogeneous Graph Collaborative Filtering.Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2024CIKMRecDiff: Diffusion Model for Social Recommendation.Zongwei Li, Lianghao Xia, Chao Huang
2024CIKMEasyST: A Simple Framework for Spatio-Temporal Prediction.Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024EMNLPOpenGraph: Towards Open Graph Foundation Models.Lianghao Xia, Ben Kao, Chao Huang
2024ICDEGraph Augmentation for Recommendation.Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024ICMLFlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024KDDUrbanGPT: Spatio-Temporal Large Language Models.Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024WWWGraphPro: Graph Pre-training and Prompt Learning for Recommendation.Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024WWWRepresentation Learning with Large Language Models for Recommendation.Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024WWWPromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang
2024SIGIRSelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.Yuxi Liu, Lianghao Xia, Chao Huang
2024WSDMDiffKG: Knowledge Graph Diffusion Model for Recommendation.Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2024WSDMSSLRec: A Self-Supervised Learning Framework for Recommendation.Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2023CIKMHow Expressive are Graph Neural Networks in Recommendation?Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023CIKMSpatio-Temporal Meta Contrastive Learning.Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
2023CIKMExplainable Spatio-Temporal Graph Neural Networks.Jiabin Tang, Lianghao Xia, Chao Huang
2023ICDEDisentangled Graph Social Recommendation.Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023ICLRLightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023ICMLSpatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han
2023IJCAIDenoised Self-Augmented Learning for Social Recommendation.Tianle Wang, Lianghao Xia, Chao Huang
2023KDDKnowledge Graph Self-Supervised Rationalization for Recommendation.Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023RecSysMulti-Relational Contrastive Learning for Recommendation.Wei Wei, Lianghao Xia, Chao Huang
2023WWWMulti-Modal Self-Supervised Learning for Recommendation.Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023WWWAutomated Self-Supervised Learning for Recommendation.Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023WWWGraph-less Collaborative Filtering.Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023WWWDebiased Contrastive Learning for Sequential Recommendation.Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023WWWAutomated Spatio-Temporal Graph Contrastive Learning.Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
2023SIGIRGraph Transformer for Recommendation.Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023SIGIRDisentangled Contrastive Collaborative Filtering.Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023SIGIRGraph Masked Autoencoder for Sequential Recommendation.Yaowen Ye, Lianghao Xia, Chao Huang
2023WSDMHeterogeneous Graph Contrastive Learning for Recommendation.Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2022CIKMSelf-Supervised Learning for Recommendation.Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022ICDESpatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022KDDSelf-Supervised Hypergraph Transformer for Recommender Systems.Lianghao Xia, Chao Huang, Chuxu Zhang
2022KDDMulti-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022SIGIRHypergraph Contrastive Collaborative Filtering.Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022SIGIRKnowledge Graph Contrastive Learning for Recommendation.Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022WSDMContrastive Meta Learning with Behavior Multiplicity for Recommendation.Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2021AAAIGraph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021AAAIKnowledge-aware Coupled Graph Neural Network for Social Recommendation.Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021AAAIKnowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021AAAITraffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021CIKMSocial Recommendation with Self-Supervised Metagraph Informax Network.Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021ICDEMulti-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2021IJCAISpatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021SIGIRGraph Meta Network for Multi-Behavior Recommendation.Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2020CIKMSpatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
2020ICDMGlobal Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020SIGIRMultiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo