Exploring the Choice Under Conflict for Social Event Participation. - Xiangyu Zhao 001; Tong Xu 001; Qi Liu 003; Hao Guo 016 (DASFAA (1), 2016)

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. - Tong Xu 001; Hengshu Zhu; Xiangyu Zhao 001; Qi Liu 003; Hao Zhong 002; Enhong Chen; Hui Xiong 001 (KDD, 2016)

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. - Hao Guo 016; Xin Li 064; Ming He; Xiangyu Zhao 001; Guiquan Liu; Guandong Xu (KSEM, 2016)

Modeling Temporal-Spatial Correlations for Crime Prediction. - Xiangyu Zhao 001; Jiliang Tang (CIKM, 2017)

Exploring Transfer Learning for Crime Prediction. - Xiangyu Zhao 001; Jiliang Tang (ICDM Workshops, 2017)

Incorporating Spatio-Temporal Smoothness for Air Quality Inference. - Xiangyu Zhao 001; Tong Xu 001; Yanjie Fu; Enhong Chen; Hao Guo 016 (ICDM, 2017)

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. - Xiangyu Zhao 001; Liang Zhang; Zhuoye Ding; Long Xia; Jiliang Tang; Dawei Yin (KDD, 2018)

Deep reinforcement learning for page-wise recommendations. - Xiangyu Zhao 001; Long Xia; Liang Zhang; Zhuoye Ding; Dawei Yin; Jiliang Tang (RecSys, 2018)

Deep Reinforcement Learning for List-wise Recommendations. - Xiangyu Zhao 001; Liang Zhang; Zhuoye Ding; Dawei Yin; Yihong Zhao 002; Jiliang Tang (CoRR, 2018)

Reinforcement Learning for Online Information Seeking. - Xiangyu Zhao 001; Long Xia; Jiliang Tang; Dawei Yin (CoRR, 2018)

Crime in Urban Areas: : A Data Mining Perspective. - Xiangyu Zhao 001; Jiliang Tang (SIGKDD Explor., 2018)

Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform. - Xiangyu Zhao 001; Yutao Qin; Yogesh B. Gianchandani (IEEE SENSORS, 2019)

Model-Based Reinforcement Learning for Whole-Chain Recommendations. - Xiangyu Zhao 001; Long Xia; Yihong Zhao 002; Dawei Yin; Jiliang Tang (CoRR, 2019)

Toward Simulating Environments in Reinforcement Learning Based Recommendations. - Xiangyu Zhao 001; Long Xia; Zhuoye Ding; Dawei Yin; Jiliang Tang (CoRR, 2019)

Deep Reinforcement Learning for Online Advertising in Recommender Systems. - Xiangyu Zhao 001; Changsheng Gu; Haoshenglun Zhang; Xiaobing Liu; Xiwang Yang; Jiliang Tang (CoRR, 2019)

Deep reinforcement learning for search, recommendation, and online advertising: a survey. - Xiangyu Zhao 001; Long Xia; Jiliang Tang; Dawei Yin (SIGWEB Newsl., 2019)

Whole-Chain Recommendations. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin; Jiliang Tang (CIKM, 2020)

Jointly Learning to Recommend and Advertise. - Xiangyu Zhao 001; Xudong Zheng; Xiwang Yang; Xiaobing Liu; Jiliang Tang (KDD, 2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang; Alex Beutel (SIGIR, 2020)

Automated Embedding Size Search in Deep Recommender Systems. - Haochen Liu; Xiangyu Zhao 001; Chong Wang; Xiaobing Liu; Jiliang Tang (SIGIR, 2020)

Neural Interactive Collaborative Filtering. - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao 001; Weidong Liu 001; Jimmy Xiangji Huang; Dawei Yin (SIGIR, 2020)

Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. - Xiangyu Zhao 001; Jiliang Tang (CoRR, 2020)

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. - Xiangyu Zhao 001; Chong Wang; Ming Chen; Xudong Zheng; Xiaobing Liu; Jiliang Tang (CoRR, 2020)

Memory-efficient Embedding for Recommendations. - Xiangyu Zhao 001; Haochen Liu; Hui Liu 031; Jiliang Tang; Weiwei Guo; Jun Shi; Sida Wang 002; Huiji Gao; Bo Long (CoRR, 2020)

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. - Xiangyu Zhao 001; Changsheng Gu; Haoshenglun Zhang; Xiwang Yang; Xiaobing Liu; Jiliang Tang; Hui Liu 031 (AAAI, 2021)

Attacking Black-box Recommendations via Copying Cross-domain User Profiles. - Wenqi Fan; Tyler Derr; Xiangyu Zhao 001; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang; Qing Li 001 (ICDE, 2021)

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. - Xiangyu Zhao 001; Haochen Liu; Wenqi Fan; Hui Liu 031; Jiliang Tang; Chong Wang; Ming Chen; Xudong Zheng; Xiaobing Liu; Xiwang Yang (ICDM, 2021)

AutoLoss: Automated Loss Function Search in Recommendations. - Xiangyu Zhao 001; Haochen Liu; Wenqi Fan; Hui Liu 031; Jiliang Tang; Chong Wang (KDD, 2021)

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2021)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. - Xiangyu Zhao 001; Haochen Liu; Hui Liu 031; Jiliang Tang; Weiwei Guo; Jun Shi; Sida Wang 002; Huiji Gao; Bo Long (WWW, 2021)

UserSim: User Simulation via Supervised GenerativeAdversarial Network. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin; Jiliang Tang (WWW, 2021)

Data-Efficient Reinforcement Learning for Malaria Control. - Lixin Zou; Long Xia; Linfang Hou; Xiangyu Zhao 001; Dawei Yin (CoRR, 2021)

Graph Trend Networks for Recommendations. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (CoRR, 2021)

Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses. - Weilin Liao; Xiangyu Zhao 001; Hsueh-Tsung Lu; Tsenguun Byambadorj; Yutao Qin; Yogesh B. Gianchandani (Sensors, 2021)

Multi-Type Urban Crime Prediction. - Xiangyu Zhao 001; Wenqi Fan; Hui Liu 031; Jiliang Tang (AAAI, 2022)

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. - Pengfei He; Haochen Liu; Xiangyu Zhao 001; Hui Liu 031; Jiliang Tang (CIKM, 2022)

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. - Xinhang Li 001; Zhaopeng Qiu; Xiangyu Zhao 001; Zihao Wang 001; Yong Zhang 002; Chunxiao Xing; Xian Wu 001 (CIKM, 2022)

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. - Chi Zhang 060; Yantong Du; Xiangyu Zhao 001; Qilong Han; Rui Chen 012; Li Li 035 (CIKM, 2022)

MAE4Rec: Storage-saving Transformer for Sequential Recommendations. - Kesen Zhao; Xiangyu Zhao 001; Zijian Zhang 009; Muyang Li (CIKM, 2022)

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. - Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (ICDM, 2022)

Automated Self-Supervised Learning for Graphs. - Wei Jin 009; Xiaorui Liu; Xiangyu Zhao 001; Yao Ma 001; Neil Shah; Jiliang Tang (ICLR, 2022)

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. - Muyang Li; Xiangyu Zhao 001; Chuan Lyu; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo (IJCAI, 2022)

Knowledge-enhanced Black-box Attacks for Recommendations. - Jingfan Chen; Wenqi Fan; Guanghui Zhu; Xiangyu Zhao 001; Chunfeng Yuan; Qing Li 001; Yihua Huang 001 (KDD, 2022)

AdaFS: Adaptive Feature Selection in Deep Recommender System. - Weilin Lin; Xiangyu Zhao 001; Yejing Wang; Tong Xu 001; Xian Wu 001 (KDD, 2022)

DDR: Dialogue Based Doctor Recommendation for Online Medical Service. - Zhi Zheng 008; Zhaopeng Qiu; Hui Xiong 001; Xian Wu 001; Tong Xu 001; Enhong Chen; Xiangyu Zhao 001 (KDD, 2022)

Graph Trend Filtering Networks for Recommendation. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (SIGIR, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Xiangyu Zhao 001; Xin Xin 003; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. - Haochen Liu; Da Tang; Ji Yang; Xiangyu Zhao 001; Hui Liu 031; Jiliang Tang; Youlong Cheng (WWW, 2022)

AutoField: Automating Feature Selection in Deep Recommender Systems. - Yejing Wang; Xiangyu Zhao 001; Tong Xu 001; Xian Wu 001 (WWW, 2022)

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. - Zhi Zheng 008; Zhaopeng Qiu; Tong Xu 001; Xian Wu 001; Xiangyu Zhao 001; Enhong Chen; Hui Xiong 001 (WWW, 2022)

Automated Machine Learning for Deep Recommender Systems: A Survey. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (CoRR, 2022)

Federated Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (CoRR, 2022)

A Comprehensive Survey on Trustworthy Recommender Systems. - Wenqi Fan; Xiangyu Zhao 001; Xiao Chen 016; Jingran Su; Jingtong Gao; Lin Wang 040; Qidong Liu 002; Yiqi Wang 001; Han Xu 002; Lei Chen 002; Qing Li 001 (CoRR, 2022)

Data Augmentation on Graphs: A Survey. - Jiajun Zhou; Chenxuan Xie; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001 (CoRR, 2022)

Adaptive and automated deep recommender systems. - Xiangyu Zhao 001 (SIGWEB Newsl., 2022)

AutoSTL: Automated Spatio-Temporal Multi-Task Learning. - Zijian Zhang 009; Xiangyu Zhao 001; Hao Miao 001; Chunxu Zhang; Hongwei Zhao; Junbo Zhang (AAAI, 2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin Xin 003; Xiangyu Zhao 001; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (CIKM, 2023)

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. - Jiahao Chen 006; Zitao Liu 001; Shuyan Huang; Yaying Huang; Xiangyu Zhao 001; Boyu Gao 003; Weiqi Luo 002 (CIKM, 2023)

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning. - Xinhang Li 001; Zhaopeng Qiu; Xiangyu Zhao 001; Yong Zhang 002; Chunxiao Xing; Xian Wu 001 (CIKM, 2023)

HAMUR: Hyper Adapter for Multi-Domain Recommendation. - Xiaopeng Li; Fan Yan; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CIKM, 2023)

Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. - Xinhang Li 001; Xiangyu Zhao 001; Yong Zhang 002; Chunxiao Xing (CIKM, 2023)

Diffusion Augmentation for Sequential Recommendation. - Qidong Liu 002; Fan Yan; Xiangyu Zhao 001; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Feng Tian 002 (CIKM, 2023)

Counterfactual Adversarial Learning for Recommendation. - Jialin Liu; Zijian Zhang 009; Xiangyu Zhao 001; Jun Li 002 (CIKM, 2023)

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. - Qian Ma 012; Zijian Zhang 009; Xiangyu Zhao 001; Haoliang Li; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001; Wanyu Wang (CIKM, 2023)

MLPST: MLP is All You Need for Spatio-Temporal Prediction. - Zijian Zhang 009; Ze Huang; Zhiwei Hu; Xiangyu Zhao 001; Wanyu Wang; Zitao Liu 001; Junbo Zhang; S. Joe Qin; Hongwei Zhao (CIKM, 2023)

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. - Zijian Zhang 009; Xiangyu Zhao 001; Qidong Liu 002; Chunxu Zhang; Qian Ma 012; Wanyu Wang; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001 (CIKM, 2023)

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. - Maolin Wang 001; Dun Zeng; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001 (ICDM, 2023)

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. - Qiongqiong Liu; Yaying Huang; Zitao Liu 001; Shuyan Huang; Jiahao Chen 006; Xiangyu Zhao 001; Guimin Lin; Yuyu Zhou; Weiqi Luo 002 (ITS, 2023)

Trustworthy Recommender Systems: Foundations and Frontiers. - Wenqi Fan; Xiangyu Zhao 001; Lin Wang 040; Xiao Chen 016; Jingtong Gao; Qidong Liu 002; Shijie Wang 002 (KDD, 2023)

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. - Xiao Han 004; Xiangyu Zhao 001; Liang Zhang; Wanyu Wang (KDD, 2023)

Doctor Specific Tag Recommendation for Online Medical Record Management. - Yejing Wang; Shen Ge; Xiangyu Zhao 001; Xian Wu 001; Tong Xu 001; Chen Ma 001; Zhi Zheng 008 (KDD, 2023)

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. - Zitao Liu 001; Qiongqiong Liu; Teng Guo; Jiahao Chen 006; Shuyan Huang; Xiangyu Zhao 001; Jiliang Tang; Weiqi Luo 002; Jian Weng 001 (NeurIPS, 2023)

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. - Haoran Yang; Xiangyu Zhao 001; Yicong Li 001; Hongxu Chen 002; Guandong Xu (NeurIPS, 2023)

KuaiSim: A Comprehensive Simulator for Recommender Systems. - Kesen Zhao; Shuchang Liu 006; Qingpeng Cai 001; Xiangyu Zhao 001; Ziru Liu; Dong Zheng; Peng Jiang 002; Kun Gai (NeurIPS, 2023)

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis. - Yuanshao Zhu; Yongchao Ye; Ying Wu; Xiangyu Zhao 001; James Jian Qiao Yu (NeurIPS, 2023)

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. - Yuanshao Zhu; Yongchao Ye; Shiyao Zhang; Xiangyu Zhao 001; James Yu (NeurIPS, 2023)

STRec: Sparse Transformer for Sequential Recommendations. - Chengxi Li 013; Yejing Wang; Qidong Liu 002; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Lixin Zou; Wenqi Fan; Qing Li 001 (RecSys, 2023)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. - Xin Gan; Yuhao Wang 006; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001 (SIGIR, 2023)

AutoTransfer: Instance Transfer for Cross-Domain Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Bo Chen 023; Fan Yan; Huifeng Guo; Ruiming Tang (SIGIR, 2023)

Towards Robust Knowledge Tracing Models via k-Sparse Attention. - Shuyan Huang; Zitao Liu 001; Xiangyu Zhao 001; Weiqi Luo 002; Jian Weng 001 (SIGIR, 2023)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Liu Cai; Chi Zhang 060; Xiangyu Zhao 001; Jingtong Gao; Wanyu Wang; Yifu Lv; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (SIGIR, 2023)

Continuous Input Embedding Size Search For Recommender Systems. - Yunke Qu; Tong Chen 005; Xiangyu Zhao 001; Lizhen Cui; Kai Zheng 001; Hongzhi Yin (SIGIR, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. - Yuhao Wang 006; Xiangyu Zhao 001; Bo Chen 023; Qidong Liu 002; Huifeng Guo; Huanshuo Liu; Yichao Wang 002; Rui Zhang 003; Ruiming Tang (SIGIR, 2023)

AutoML for Deep Recommender Systems: Fundamentals and Advances. - Ruiming Tang; Bo Chen 023; Yejing Wang; Huifeng Guo; Yong Liu 020; Wenqi Fan; Xiangyu Zhao 001 (WSDM, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang (WWW, 2023)

Denoising and Prompt-Tuning for Multi-Behavior Recommendation. - Chi Zhang 060; Rui Chen 012; Xiangyu Zhao 001; Qilong Han; Li Li 035 (WWW, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

IMF: Interactive Multimodal Fusion Model for Link Prediction. - Xinhang Li 001; Xiangyu Zhao 001; Jiaxing Xu; Yong Zhang 002; Chunxiao Xing (WWW, 2023)

AutoMLP: Automated MLP for Sequential Recommendations. - Muyang Li; Zijian Zhang 009; Xiangyu Zhao 001; Wanyu Wang; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo (WWW, 2023)

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. - Jiahao Liang; Xiangyu Zhao 001; Muyang Li; Zijian Zhang 009; Wanyu Wang; Haochen Liu; Zitao Liu 001 (WWW, 2023)

AutoDenoise: Automatic Data Instance Denoising for Recommendations. - Weilin Lin; Xiangyu Zhao 001; Yejing Wang; Yuanshao Zhu; Wanyu Wang (WWW, 2023)

Multi-Task Recommendations with Reinforcement Learning. - Ziru Liu; Jiejie Tian; Qingpeng Cai 001; Xiangyu Zhao 001; Jingtong Gao; Shuchang Liu 006; Dayou Chen; Tonghao He; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Xiangyu Zhao 001; Guandong Xu (WWW, 2023)

User Retention-oriented Recommendation with Decision Transformer. - Kesen Zhao; Lixin Zou; Xiangyu Zhao 001; Maolin Wang 001; Dawei Yin (WWW, 2023)

Multi-Task Deep Recommender Systems: A Survey. - Yuhao Wang 006; Ha Tsz Lam; Yi Wong; Ziru Liu; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CoRR, 2023)

Multimodal Recommender Systems: A Survey. - Qidong Liu 002; Jiaxi Hu; Yutian Xiao; Jingtong Gao; Xiangyu Zhao 001 (CoRR, 2023)

Diffusion Model for GPS Trajectory Generation. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; James J. Q. Yu (CoRR, 2023)

IFedRec: Item-Guided Federated Aggregation for Cold-Start. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Xiangyu Zhao 001; Zijian Zhang 009; Bo Yang 002 (CoRR, 2023)

Tensorized Hypergraph Neural Networks. - Maolin Wang 001; Yaoming Zhen; Yu Pan 005; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001 (CoRR, 2023)

OpenSiteRec: An Open Dataset for Site Recommendation. - Xinhang Li 001; Xiangyu Zhao 001; Yejing Wang; Yu Liu 016; Yong Li 008; Cheng Long 001; Yong Zhang 002; Chunxiao Xing (CoRR, 2023)

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CoRR, 2023)

Automatic Data Repair: Are We Ready to Deploy? - Wei Ni; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Jianwei Yin (CoRR, 2023)

Enhancing Traffic Prediction with Learnable Filter Module. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; James J. Q. Yu (CoRR, 2023)

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Derong Xu; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2023)

Embedding in Recommender Systems: A Survey. - Xiangyu Zhao 001; Maolin Wang 001; Xinjian Zhao; Jiansheng Li; Shucheng Zhou; Dawei Yin; Qing Li 001; Jiliang Tang; Ruocheng Guo (CoRR, 2023)

A General Neural Causal Model for Interactive Recommendation. - Jialin Liu; Xinyan Su; Peng Zhou; Xiangyu Zhao 001; Jun Li 002 (CoRR, 2023)

Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation. - Jialin Liu; Xinyan Su; Zeyu He; Xiangyu Zhao 001; Jun Li 002 (CoRR, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation. - Xinhang Li 001; Chong Chen 001; Xiangyu Zhao 001; Yong Zhang 002; Chunxiao Xing (CoRR, 2023)

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup. - Maolin Wang 001; Yao Zhao; Jiajia Liu 002; Jingdong Chen; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001 (CoRR, 2023)

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. - Xiaopeng Li; Lixin Su; Pengyue Jia; Xiangyu Zhao 001; Suqi Cheng; Junfeng Wang 009; Dawei Yin (CoRR, 2023)

Large Language Models for Generative Information Extraction: A Survey. - Derong Xu; Wei Chen 156; Wenjun Peng; Chao Zhang; Tong Xu 001; Xiangyu Zhao 001; Xian Wu 001; Yefeng Zheng 001; Enhong Chen (CoRR, 2023)

Interaction-aware Drug Package Recommendation via Policy Gradient. - Zhi Zheng 008; Chao Wang 086; Tong Xu 001; Dazhong Shen; Penggang Qin; Xiangyu Zhao 001; Baoxing Huai; Xian Wu 001; Enhong Chen (ACM Trans. Inf. Syst., 2023)

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (Inf. Sci., 2023)

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. - Wenqi Fan; Xiangyu Zhao 001; Qing Li 001; Tyler Derr; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang (IEEE Trans. Knowl. Data Eng., 2023)

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. - Pengyue Jia; Yichao Wang 002; Shanru Lin; Xiaopeng Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (AAAI, 2024)

IterClean: An Iterative Data Cleaning Framework with Large Language Models. - Wei Ni; Kaihang Zhang; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Jianwei Yin (ACM TUR-C, 2024)

Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training. - Jiashi Gao; Ziwei Wang; Xiangyu Zhao 001; Xin Yao 001; Xuetao Wei (AIES (1), 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations. - Jiahao Chen 006; Zitao Liu 001; Mingliang Hou; Xiangyu Zhao 001; Weiqi Luo 002 (CIKM, 2024)

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Efficient and Robust Regularized Federated Recommendation. - Langming Liu; Wanyu Wang; Xiangyu Zhao 001; Zijian Zhang 009; Chunxu Zhang; Shanru Lin; Yiqi Wang 001; Lixin Zou; Zitao Liu 001; Xuetao Wei; Hongzhi Yin; Qing Li 001 (CIKM, 2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation. - Yunke Qu; Liang Qu; Tong Chen 005; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Hongzhi Yin (CIKM, 2024)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Enhong Chen; Yefeng Zheng 001 (CIKM, 2024)

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. - Derong Xu; Ziheng Zhang; Zhenxi Lin; Xian Wu 001; Zhihong Zhu; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (LREC/COLING, 2024)

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (EMNLP (Findings), 2024)

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. - Chi Zhang 060; Qilong Han; Rui Chen 012; Xiangyu Zhao 001; Peng Tang; Hongtao Song (ICDE, 2024)

Bi-Level User Modeling for Deep Recommenders. - Yejing Wang; Dong Xu; Xiangyu Zhao 001; Zhiren Mao; Peng Xiang; Ling Yan; Yao Hu 002; Zijian Zhang 009; Xuetao Wei; Qidong Liu 002 (ICDM, 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou 001; Lixin Zou; Xiangyu Zhao 001; Dawei Yin; Shirui Pan; Yanan Cao 001 (ICML, 2024)

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. - Xueyi Li 005; Youheng Bai; Teng Guo; Zitao Liu 001; Yaying Huang; Xiangyu Zhao 001; Feng Xia 001; Weiqi Luo 002; Jian Weng 001 (IJCAI, 2024)

KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. - Yinghui Liu; Guojiang Shen; Chengyong Cui; Zhenzhen Zhao; Xiao Han 004; Jiaxin Du; Xiangyu Zhao 001; Xiangjie Kong 001 (IJCAI, 2024)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. - Xiao Han 004; Chen Zhu 003; Xiao Hu; Chuan Qin 002; Xiangyu Zhao 001; Hengshu Zhu (KDD, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (KDD, 2024)

Modeling User Retention through Generative Flow Networks. - Ziru Liu; Shuchang Liu 006; Bin Yang 042; Zhenghai Xue; Qingpeng Cai 001; Xiangyu Zhao 001; Zijian Zhang 009; Lantao Hu; Han Li 005; Peng Jiang 002 (KDD, 2024)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. - Yuanshao Zhu; James Jian Qiao Yu; Xiangyu Zhao 001; Qidong Liu 002; Yongchao Ye; Wei Chen 070; Zijian Zhang 009; Xuetao Wei; Yuxuan Liang (KDD, 2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. - Pengyue Jia; Yiding Liu; Xiangyu Zhao 001; Xiaopeng Li; Changying Hao; Shuaiqiang Wang; Dawei Yin (NAACL-HLT, 2024)

Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors. - Jiashi Gao; Ziwei Wang; Xiangyu Zhao 001; Xin Yao 001; Xuetao Wei (NeurIPS, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. - Pengyue Jia; Yiding Liu; Xiaopeng Li; Xiangyu Zhao 001; Yuhao Wang 006; Yantong Du; Xiao Han 004; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2024)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Yejing Wang; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001; Xiangyu Zhao 001 (NeurIPS, 2024)

Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation. - Junlei Zhou; Jiashi Gao; Xiangyu Zhao 001; Xin Yao 001; Xuetao Wei (NeurIPS, 2024)

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models. - Ziyi Zhou; Xinwei Guo; Jiashi Gao; Xiangyu Zhao 001; Shiyao Zhang; Xin Yao 001; Xuetao Wei (NeurIPS, 2024)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Xiangyu Zhao 001; Ruocheng Guo; Yao Zhao; Chenyi Zhuang; Jinjie Gu; Zijian Zhang 009; Hongzhi Yin (RecSys, 2024)

Tensorized Hypergraph Neural Networks. - Maolin Wang 001; Yaoming Zhen; Yu Pan 005; Yao Zhao; Chenyi Zhuang; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001 (SDM, 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2024)

Optimal Transport Enhanced Cross-City Site Recommendation. - Xinhang Li 001; Xiangyu Zhao 001; Zihao Wang 001; Yang Duan; Yong Zhang 002; Chunxiao Xing (SIGIR, 2024)

OpenSiteRec: An Open Dataset for Site Recommendation. - Xinhang Li 001; Xiangyu Zhao 001; Yejing Wang; Yu Liu 016; Chong Chen 001; Cheng Long 001; Yong Zhang 002; Chunxiao Xing (SIGIR, 2024)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Derong Xu; Feng Tian 002; Yefeng Zheng 001 (SIGIR, 2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. - Ziru Liu; Shuchang Liu 006; Zijian Zhang 009; Qingpeng Cai 001; Xiangyu Zhao 001; Kesen Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. - Dugang Liu; Chaohua Yang; Xing Tang 007; Yejing Wang; Fuyuan Lyu; Weihong Luo; Xiuqiang He 001; Zhong Ming 001; Xiangyu Zhao 001 (WSDM, 2024)

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. - Yuhao Wang 006; Ziru Liu; Yichao Wang 002; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang (WSDM, 2024)

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. - Maolin Wang 001; Yao Zhao; Jiajia Liu 002; Jingdong Chen; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001 (WWW (Companion Volume), 2024)

The 2nd Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yang Zhang 072; Xinyu Lin 001; Fuli Feng; Weiwen Liu; Yong Liu 020; Xiangyu Zhao 001; Wayne Xin Zhao; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2024)

Cumulative Distribution Function based General Temporal Point Processes. - Maolin Wang 001; Yu Pan 005; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001; Langming Liu (CoRR, 2024)

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Yao Zhao; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001; Zijian Zhang 009; Hongzhi Yin (CoRR, 2024)

Large Language Model Distilling Medication Recommendation Model. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

Rethinking Large Language Model Architectures for Sequential Recommendations. - Hanbing Wang; Xiaorui Liu; Wenqi Fan; Xiangyu Zhao 001; Venkataramana Kini; Devendra Yadav; Fei Wang; Zhen Wen; Jiliang Tang; Hui Liu 031 (CoRR, 2024)

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation. - Xinjian Zhao; Liang Zhang; Yang Liu 018; Ruocheng Guo; Xiangyu Zhao 001 (CoRR, 2024)

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. - Jiaxi Hu; Jingtong Gao; Xiangyu Zhao 001; Yuehong Hu; Yuxuan Liang; Yiqi Wang 001; Ming He; Zitao Liu 001; Hongzhi Yin (CoRR, 2024)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (CoRR, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yejing Wang; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Xiangyu Zhao 001 (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (CoRR, 2024)

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. - Xiao Han 004; Chen Zhu 003; Xiangyu Zhao 001; Hengshu Zhu (CoRR, 2024)

Bidirectional Gated Mamba for Sequential Recommendation. - Ziwei Liu; Qidong Liu 002; Yejing Wang; Wanyu Wang; Pengyue Jia; Maolin Wang 001; Zitao Liu 001; Yi Chang 001; Xiangyu Zhao 001 (CoRR, 2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Sirui Huang; Qing Li 001; Guandong Xu (CoRR, 2024)

Large Language Model Empowered Embedding Generator for Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Wanyu Wang; Yejing Wang; Yuanshao Zhu; Xiangyu Zhao 001; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning. - Jiashi Gao; Ziwei Wang; Xiangyu Zhao 001; Xin Yao 001; Xuetao Wei (CoRR, 2024)

GPRec: Bi-level User Modeling for Deep Recommenders. - Yejing Wang; Dong Xu; Xiangyu Zhao 001; Zhiren Mao; Peng Xiang; Ling Yan; Yao Hu 002; Zijian Zhang 009; Xuetao Wei; Qidong Liu 002 (CoRR, 2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Xiangyu Zhao 001; Chi Zhang 060; Jingtong Gao; Wanyu Wang; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (CoRR, 2024)

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces. - Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao 001; Xuetao Wei; Yuxuan Liang (CoRR, 2024)

Sparser Training for On-Device Recommendation Systems. - Yunke Qu; Liang Qu; Tong Chen 005; Xiangyu Zhao 001; Jianxin Li; Hongzhi Yin (CoRR, 2024)

Tackling Data Heterogeneity in Federated Time Series Forecasting. - Wei Yuan 003; Guanhua Ye; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Yang Cao 011; Hongzhi Yin (CoRR, 2024)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval. - Suyuan Huang; Chao Zhang; Yuanyuan Wu; Haoxin Zhang; Yuan Wang; Maolin Wang 001; Shaosheng Cao; Tong Xu 001; Xiangyu Zhao 001; Zengchang Qin; Yan Gao 017; Yunhan Bai; et al. (CoRR, 2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Xiangyu Zhao 001; Pengyue Jia; Wanyu Wang; Yuan Wang; Yue Liu 008; Dapeng Liu; Jie Jiang 015 (CoRR, 2024)

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. - Pengyue Jia; Zhaocheng Du; Yichao Wang 001; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Stepwise Reasoning Error Disruption Attack of LLMs. - Jingyu Peng; Maolin Wang 001; Xiangyu Zhao 001; Kai Zhang 038; Wanyu Wang; Pengyue Jia; Qidong Liu 002; Ruocheng Guo; Qi Liu 003 (CoRR, 2024)

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future. - Qidong Liu 002; Xiangyu Zhao 001; Yuhao Wang 006; Yejing Wang; Zijian Zhang 009; Yuqi Sun; Xiang Li 113; Maolin Wang 001; Pengyue Jia; Chong Chen 001; Wei Huang; Feng Tian 002 (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li; Xiangyang Li; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. - Ziru Liu; Kecheng Chen; Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (Knowl. Inf. Syst., 2024)

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. - Hao Miao 001; Xiaolong Zhong; Jiaxin Liu; Yan Zhao 008; Xiangyu Zhao 001; Weizhu Qian; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2024)

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Muyang Li; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo; Yiding Liu; Dawei Yin (ACM Trans. Inf. Syst., 2024)

Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions. - Xiangjie Kong 001; Juntao Wang; Zehao Hu; Yuwei He; Xiangyu Zhao 001; Guojiang Shen (IEEE Internet Things J., 2024)

Automatic Data Repair: Are We Ready to Deploy? - Wei Ni; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Shuwei Liang; Jianwei Yin (Proc. VLDB Endow., 2024)

A Comprehensive Survey on Automated Machine Learning for Recommendations. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (Trans. Recomm. Syst., 2024)

Recommender Systems in the Era of Large Language Models (LLMs). - Zihuai Zhao; Wenqi Fan; Jiatong Li 003; Yunqing Liu; Xiaowei Mei; Yiqi Wang 001; Zhen Wen; Fei Wang; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Large language models for generative information extraction: a survey. - Derong Xu; Wei Chen 156; Wenjun Peng; Chao Zhang; Tong Xu 001; Xiangyu Zhao 001; Xian Wu 001; Yefeng Zheng 001; Yang Wang 001; Enhong Chen (Frontiers Comput. Sci., 2024)

Multi-Level Graph Knowledge Contrastive Learning. - Haoran Yang; Yuhao Wang 006; Xiangyu Zhao 001; Hongxu Chen 002; Hongzhi Yin; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Wanyu Wang; Yejing Wang; Yuanshao Zhu; Xiangyu Zhao 001; Feng Tian 002; Yefeng Zheng 001 (AAAI, 2025)

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Yuanshao Zhu; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (AAAI, 2025)

LLM-Powered User Simulator for Recommender System. - Zijian Zhang 009; Shuchang Liu 006; Ziru Liu; Rui Zhong; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Qidong Liu 002; Peng Jiang 002 (AAAI, 2025)

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. - Jiawei Cheng; Jingyuan Wang; Yichuan Zhang; Jiahao Ji; Yuanshao Zhu; Zhibo Zhang; Xiangyu Zhao 001 (AAAI, 2025)

SIGMA: Selective Gated Mamba for Sequential Recommendation. - Ziwei Liu; Qidong Liu 002; Yejing Wang; Wanyu Wang; Pengyue Jia; Maolin Wang 001; Zitao Liu 001; Yi Chang 001; Xiangyu Zhao 001 (AAAI, 2025)

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. - Derong Xu; Xinhang Li 002; Ziheng Zhang; Zhenxi Lin; Zhihong Zhu; Zhi Zheng 008; Xian Wu 001; Xiangyu Zhao 001; Tong Xu 001; Enhong Chen (AAAI, 2025)

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. - Yimin Deng; Yuxia Wu; Yejing Wang; Guoshuai Zhao; Li Zhu 003; Qidong Liu 002; Derong Xu; Zichuan Fu; Xian Wu 001; Yefeng Zheng 001; Xiangyu Zhao 001; Xueming Qian (ACL (Findings), 2025)

Training-free LLM Merging for Multi-task Learning. - Zichuan Fu; Xian Wu 001; Yejing Wang; Wanyu Wang; Shanshan Ye; Hongzhi Yin; Yi Chang 001; Yefeng Zheng 001; Xiangyu Zhao 001 (ACL (1), 2025)

The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing. - Xinwei Guo; Jiashi Gao; Junlei Zhou; Jiaxin Zhang; Guanhua Chen 001; Xiangyu Zhao 001; Quanying Liu; Haiyan Wu; Xin Yao 001; Xuetao Wei (ACL (Findings), 2025)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation. - Yuxuan Li; Xinwei Guo; Jiashi Gao; Guanhua Chen 001; Xiangyu Zhao 001; Jiaxin Zhang; Quanying Liu; Haiyan Wu; Xin Yao 001; Xuetao Wei (ACL (1), 2025)

Stepwise Reasoning Disruption Attack of LLMs. - Jingyu Peng; Maolin Wang 001; Xiangyu Zhao 001; Kai Zhang 038; Wanyu Wang; Pengyue Jia; Qidong Liu 002; Ruocheng Guo; Qi Liu 003 (ACL (1), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

TAPO: Task-Referenced Adaptation for Prompt Optimization. - Wenxin Luo; Weirui Wang; Xiaopeng Li; Weibo Zhou; Pengyue Jia; Xiangyu Zhao 001 (ICASSP, 2025)

ZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning. - Wei Ni; Kaihang Zhang; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Yaoshu Wang; Jianwei Yin (ICDE, 2025)

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning. - Maolin Wang 001; Xiangyu Zhao 001; Ruocheng Guo; Junhui Wang (ICDE, 2025)

DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. - Chi Zhang 060; Qilong Han; Qiaoyu Tan; Shengjie Wang 001; Xiangyu Zhao 001; Rui Chen 012 (KDD (1), 2025)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Wanyu Wang; Jingtong Gao; Xiangyu Zhao 001; Yu Yang 001; Xuetao Wei; Zitao Liu 001; Tong Xu 001 (KDD (1), 2025)

NoteLLM-2: Multimodal Large Representation Models for Recommendation. - Chao Zhang; Haoxin Zhang; Shiwei Wu; Di Wu 055; Tong Xu 001; Xiangyu Zhao 001; Yan Gao 017; Yao Hu 002; Enhong Chen (KDD (1), 2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. - Maolin Wang 001; Sheng Zhang 028; Ruocheng Guo; Wanyu Wang; Xuetao Wei; Zitao Liu 001; Hongzhi Yin; Yi Chang 001; Xiangyu Zhao 001 (SIGIR, 2025)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. - Qidong Liu 002; Xiangyu Zhao 001; Yejing Wang; Zijian Zhang 009; Howard Zhong; Chong Chen 001; Xiang Li 113; Wei Huang; Feng Tian 002 (SIGIR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 2025)

FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval. - Bohan Hou; Haoqiang Lin; Xuemeng Song; Haokun Wen; Meng Liu 006; Yupeng Hu; Xiangyu Zhao 001 (SIGIR, 2025)

AgentIR: 2nd Workshop on Agent-based Information Retrieval. - Pengyue Jia; Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2025)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Pengyue Jia; Wanyu Wang; Maolin Wang 001; Zhixiang Feng; Xiaotian Li; Jie Jiang 015; Xiangyu Zhao 001 (SIGIR, 2025)

Multi-scenario Instance Embedding Learning for Deep Recommender Systems. - Chaohua Yang; Dugang Liu; Xing Tang 007; Yuwen Fu; Xiuqiang He 001; Xiangyu Zhao 001; Zhong Ming 001 (SIGIR, 2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 002; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

Behavior Modeling Space Reconstruction for E-Commerce Search. - Yejing Wang; Chi Zhang 060; Xiangyu Zhao 001; Qidong Liu 002; Maolin Wang 001; Xuetao Wei; Zitao Liu 001; Xing Shi; Xudong Yang; Ling Zhong; Wei Lin 016 (WWW, 2025)

PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images. - Kai Li 025; Yupeng Deng 001; Jingbo Chen; Yu Meng; Zhihao Xi; Junxian Ma; Chenhao Wang; Maolin Wang; Xiangyu Zhao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 001; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Behavior Modeling Space Reconstruction for E-Commerce Search. - Yejing Wang; Chi Zhang 060; Xiangyu Zhao 001; Qidong Liu 002; Maolin Wang 001; Xuewei Tao; Zitao Liu 001; Xing Shi; Xudong Yang; Ling Zhong; Wei Lin 016 (CoRR, 2025)

Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs. - Xi Zhu 004; Fake Lin; Ziwei Zhao 002; Tong Xu 001; Xiangyu Zhao 001; Zikai Yin; Xueying Li; Enhong Chen (ACM Trans. Inf. Syst., 2025)

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval. - Jian Jia; Jingtong Gao; Ben Xue; Junhao Wang; Qingpeng Cai 001; Quan Chen 006; Xiangyu Zhao 001; Peng Jiang 002; Kun Gai (CoRR, 2025)

Sliding Window Attention Training for Efficient Large Language Models. - Zichuan Fu; Wentao Song; Yejing Wang; Xian Wu 001; Yefeng Zheng 001; Yingying Zhang; Derong Xu; Xuetao Wei; Tong Xu 001; Xiangyu Zhao 001 (CoRR, 2025)

Joint Modeling in Recommendations: A Survey. - Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Jingtong Gao; Yuhao Wang 006; Xiaopeng Li; Pengyue Jia; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2025)

Multimodal Recommender Systems: A Survey. - Qidong Liu 002; Jiaxi Hu; Yutian Xiao; Xiangyu Zhao 001; Jingtong Gao; Wanyu Wang; Qing Li 001; Jiliang Tang (ACM Comput. Surv., 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)

An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations. - Qingqing Yi; Jingjing Tang; Xiangyu Zhao 001; Yujian Zeng; Zengchun Song; Jia Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-agents based User Values Mining for Recommendation. - Lijian Chen; Wei Yuan 003; Tong Chen 005; Xiangyu Zhao 001; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. - Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang 001; Yichao Wang 002; Zhaocheng Du; Huifeng Guo; Yong Liu 020; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

A Dataset for Spatiotemporal-Sensitive POI Question Answering. - Xiao Han 004; Dayan Pan; Xiangyu Zhao 001; Xuyuan Hu; Zhaolin Deng; Xiangjie Kong 001; Guojiang Shen (CoRR, 2025)

Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression. - Jingyu Peng; Maolin Wang 001; Nan Wang; Xiangyu Zhao 001; Jiatong Li; Kai Zhang 038; Qi Liu (CoRR, 2025)

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization. - Pengyue Jia; Seongheon Park; Song Gao; Xiangyu Zhao 001; Yixuan Li (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. - Derong Xu; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Maolin Wang 001; Qidong Liu 002; Xiangyu Zhao 001; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Enhong Chen; Tong Xu 001 (CoRR, 2025)

Flow Matching based Sequential Recommender Model. - Feng Liu; Lixin Zou; Xiangyu Zhao 001; Min Tang; Liming Dong 003; Dan Luo 004; Xiangyang Luo; Chenliang Li (CoRR, 2025)

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. - Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao 001; Xiao Han 004; Qidong Liu 002; Xuetao Wei; Yuxuan Liang (CoRR, 2025)

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration. - Jingtong Gao; Ling Pan; Yejing Wang; Rui Zhong; Chi Lu; Qingpeng Cai 001; Peng Jiang 002; Xiangyu Zhao 001 (CoRR, 2025)

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. - Derong Xu; Yi Wen 001; Pengyue Jia; Yingyi Zhang; Wen-Lin Zhang; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001; Enhong Chen; Tong Xu 001 (CoRR, 2025)

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement. - Bingguang Hao; Maolin Wang 001; Zengzhuang Xu; Cunyin Peng; Yicheng Chen; Xiangyu Zhao 001; Jinjie Gu; Chenyi Zhuang (CoRR, 2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. - Yi Wen 001; Yue Liu 008; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang 001; Ke Liang 006; Maolin Wang 001; Yiqi Wang 001; Fuzhen Zhuang; Xiangyu Zhao 001 (CoRR, 2025)

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation. - Qidong Liu 002; Zhaopeng Qiu; Xiangyu Zhao 001; Xian Wu 001; Zijian Zhang 009; Tong Xu 001; Feng Tian 002 (ACM Trans. Inf. Syst., 2025)

Model Merging for Knowledge Editing. - Zichuan Fu; Xian Wu 001; Guojing Li; Yingying Zhang; Yefeng Zheng 001; Tianshi Ming; Yejing Wang; Wanyu Wang; Xiangyu Zhao 001 (CoRR, 2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. - Yejing Wang; Shengyu Zhou; Jinyu Lu; Qidong Liu 002; Xinhang Li 001; Wenlin Zhang; Feng Li; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Xiangyu Zhao 001 (CoRR, 2025)

Dual Test-Time Training for Out-of-Distribution Recommender System. - Xihong Yang; Yiqi Wang 001; Jin Chen 008; Wenqi Fan; Xiangyu Zhao 001; En Zhu; Xinwang Liu 002; Defu Lian (IEEE Trans. Knowl. Data Eng., 2025)

On Mitigating Data Sparsity in Conversational Recommender Systems. - Sixiao Zhang; Mingrui Liu; Cheng Long 001; Wei Yuan 003; Hongxu Chen 002; Xiangyu Zhao 001; Hongzhi Yin (CoRR, 2025)

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. - Maolin Wang 001; Tianshuo Wei; Sheng Zhang 028; Ruocheng Guo; Wanyu Wang; Shanshan Ye; Lixin Zou; Xuetao Wei; Xiangyu Zhao 001 (CoRR, 2025)

Uniform Graph Pre-training and Prompting for Transferable Recommendation. - Qing Yu; Lixin Zou; Xiangyang Luo; Xiangyu Zhao 001; Chenliang Li (ACM Trans. Inf. Syst., 2025)

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs. - Dengzhao Fang; Jingtong Gao; Chengcheng Zhu; Yu Li 022; Xiangyu Zhao 001; Yi Chang 001 (CoRR, 2025)

Deep Research: A Survey of Autonomous Research Agents. - Wenlin Zhang; Xiaopeng Li; Yingyi Zhang; Pengyue Jia; Yichao Wang 002; Huifeng Guo; Yong Liu 020; Xiangyu Zhao 001 (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)

Data Augmentation on Graphs: A Technical Survey. - Jiajun Zhou; Chenxuan Xie; Shengbo Gong; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001; Xiaoniu Yang (ACM Comput. Surv., 2025)

CTKGRec: A context-aware temporal knowledge graph reasoning model for next POI recommendation. - Qihong Pan; Hong Zheng; Zhenzhen Zhao; Xiangjie Kong 001; Guojiang Shen; Xiangyu Zhao 001 (Expert Syst. Appl., 2026)