Yong Li

发表

Causal Inference in Recommender Systems: A Survey and Future Directions

Xiangnan He, Fuli Feng, Wenjie Wang, 2022, ACM Trans. Inf. Syst..

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction

Quanming Yao, Depeng Jin, Chen Gao, 2022, ArXiv.

Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design

Zhicong Lu, Chen Gao, J. Piao, 2022, Proc. ACM Hum. Comput. Interact..

An Exploratory Study of Information Cocoon on Short-form Video Platform

Q. Liao, Chen Gao, J. Piao, 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

DPLCF: Differentially Private Local Collaborative Filtering

Depeng Jin, Chao Huang, Yong Li, 2020, SIGIR.

Bringing Friends into the Loop of Recommender Systems: An Exploratory Study

Zhilong Chen, Yong Li, Chen Gao, 2021, Proc. ACM Hum. Comput. Interact..

Sequential Recommendation with Graph Neural Networks

Chen Gao, Depeng Jin, Yong Li, 2021, SIGIR.

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

Xiangnan He, Depeng Jin, Chen Gao, 2021, Trans. Recomm. Syst..

Neural Multi-task Recommendation from Multi-behavior Data

Chen Gao, Tat-Seng Chua, Xiangning Chen, 2018, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

CROSS: Cross-platform Recommendation for Social E-Commerce

Chen Gao, Tzu-Heng Lin, Yong Li, 2019, SIGIR.

Graph Neural Networks for Recommender System

Xiangnan He, Xiang Wang, Chen Gao, 2022, WSDM.

Profiling users by online shopping behaviors

Huan Yan, Depeng Jin, Yong Li, 2017, Multimedia Tools and Applications.

Automatically Discovering User Consumption Intents in Meituan

Depeng Jin, Chen Gao, Hengliang Luo, 2022, KDD.

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning

Changzheng Gao, Depeng Jin, Yuchen Wu, 2023, AAAI.

Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation

Yong Li, Depeng Jin, Chen Gao, 2022, SIGIR.

Sequential Recommendation with Graph Neural Networks

Depeng Jin, Yang Song, Chen Gao, 2021, SIGIR.

Disentangling Long and Short-Term Interests for Recommendation

Depeng Jin, Yang Song, Chen Gao, 2022, WWW.

Learning from Hierarchical Structure of Knowledge Graph for Recommendation

Depeng Jin, Yue Wang, Dong Li, 2023, ACM Transactions on Information Systems.

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System

Dong Li, Jianye Hao, Zhi Wang, 2023, WWW.

Dual-interest Factorization-heads Attention for Sequential Recommendation

Depeng Jin, Yang Song, Guanyu Lin, 2023, WWW.

Modeling Persuasion Factor of User Decision for Recommendation

Depeng Jin, Xinlei Shi, Yuan Yuan, 2022, KDD.

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation

Kun Gai, Depeng Jin, Yang Song, 2023, RecSys.

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives

Depeng Jin, Guanyu Lin, Chen Gao, 2022, arXiv.org.

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System

Depeng Jin, Yang Song, Nian Li, 2023, CIKM.

Dual Contrastive Network for Sequential Recommendation

Depeng Jin, Guanyu Lin, Chen Gao, 2022, SIGIR.

S3: Social-network Simulation System with Large Language Model-Empowered Agents

Depeng Jin, Huandong Wang, Jinzhu Mao, 2023, ArXiv.

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

Depeng Jin, Huandong Wang, Jinzhu Mao, 2023, KDD.

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives

Depeng Jin, Chen Gao, Y. Zheng, 2022, ArXiv.

S3: Social-network Simulation System with Large Language Model-Empowered Agents

Depeng Jin, Huandong Wang, Jinzhu Mao, 2023, SSRN Electronic Journal.

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

Xiangnan He, Depeng Jin, Yong Li, 2021, Trans. Recomm. Syst..

Alleviating Video-length Effect for Micro-video Recommendation

Depeng Jin, Lingling Yi, Chen Gao, 2023, ACM Transactions on Information Systems.

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation

Depeng Jin, Dong Li, Jianye Hao, 2023, SIGIR.

Learning Fine-grained User Interests for Micro-video Recommendation

M. Wang, Depeng Jin, Chen Gao, 2023, SIGIR.

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Yaqing Wang, Lingling Yi, Chen Gao, 2023, KDD.

Learning from Hierarchical Structure of Knowledge Graph for Recommendation

Depeng Jin, Yue Wang, Dong Li, 2023, ACM Trans. Inf. Syst..

Robust Preference-Guided Denoising for Graph based Social Recommendation

Depeng Jin, Lingling Yi, Chen Gao, 2023, WWW.

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks

Depeng Jin, Chen Gao, Hengliang Luo, 2022, CIKM.

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias

Depeng Jin, Lingling Yi, Chen Gao, 2022, ACM Multimedia.

Inverse Learning with Extremely Sparse Feedback for Recommendation

Depeng Jin, Chen Gao, Jianxin Chang, 2023, ArXiv.

Mutual Harmony: Sequential Recommendation with Dual Contrastive Network

Depeng Jin, Guanyu Lin, Chen Gao, 2022, 2209.08446.

Cross

Tzu-Heng Lin, Chen Gao, Yong Li, 2019, Definitions.

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

Wenjie Fu, Tao Jiang, Huandong Wang, 2023, ArXiv.

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions pdf

Xiangnan He, Yuhan Quan, Yong Li, 2021, ArXiv.

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks

Depeng Jin, Chen Gao, Hengliang Luo, 2022, CIKM.

Characterizing the Click and Share Dynamics of Micro-Videos in Social Media

Pan Hui, Depeng Jin, Yong Li, 2017, SIGCOMM Posters and Demos '17.