Contour Extraction Based on Human Visual System. - Xiaosheng Yang; Yinfeng Li (CCCV (2), 2015)

Precoding Design and Power Allocation in Two-User MU-MIMO Wireless Ad Hoc Networks. - Haole Chen; Lin Xiao 001; Yinfeng Li; Dingcheng Yang; Xiaoxiao Zhou (Symmetry, 2017)

Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data. - Junxuan Zhao; Yinfeng Li; Hao Xu 004; Hongchao Liu (IEEE Access, 2019)

Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks. - Yinfeng Li; Dingcheng Yang; Yu Xu; Lin Xiao 001; Haole Chen (Sensors, 2019)

Progressive Feature Interaction Search for Deep Sparse Network. - Chen Gao 001; Yinfeng Li; Quanming Yao; Depeng Jin; Yong Li 008 (NeurIPS, 2021)

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. - Chen Gao 001; Yu Zheng 010; Nian Li; Yinfeng Li; Yingrong Qin; Jinghua Piao; Yuhan Quan; Jianxin Chang; Depeng Jin; Xiangnan He 001; Yong Li 008 (CoRR, 2021)

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. - Yinfeng Li; Chen Gao 001; Xiaoyi Du; Huazhou Wei; Hengliang Luo; Depeng Jin; Yong Li 008 (CIKM, 2022)

Automatically Discovering User Consumption Intents in Meituan. - Yinfeng Li; Chen Gao 001; Xiaoyi Du; Huazhou Wei; Hengliang Luo; Depeng Jin; Yong Li 008 (KDD, 2022)

Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. - Yinfeng Li; Chen Gao 001; Hengliang Luo; Depeng Jin; Yong Li 008 (SIGIR, 2022)

Dual Contrastive Network for Sequential Recommendation. - Guanyu Lin; Chen Gao 001; Yinfeng Li; Yu Zheng 010; Zhiheng Li 001; Depeng Jin; Yong Li 008 (SIGIR, 2022)

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. - Yinfeng Li; Chen Gao 001; Quanming Yao; Tong Li 013; Depeng Jin; Yong Li 008 (CoRR, 2022)

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. - Guanyu Lin; Chen Gao 001; Yinfeng Li; Yu Zheng 010; Zhiheng Li 001; Depeng Jin; Yong Li 008 (CoRR, 2022)

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. - Chen Gao 001; Yu Zheng 010; Nian Li; Yinfeng Li; Yingrong Qin; Jinghua Piao; Yuhan Quan; Jianxin Chang; Depeng Jin; Xiangnan He 001; Yong Li 008 (Trans. Recomm. Syst., 2023)

Effect analysis of neural network robot system in music relaxation training to alleviate adverse reactions of chemotherapy in patients with breast cancer. - Yue Teng; Jinlei Bao; Yinfeng Li; Haichun Ye (Frontiers Neurorobotics, 2023)

SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. - Kepu Zhang; Teng Shi; Sunhao Dai; Xiao Zhang 034; Yinfeng Li; Jing Lu; Xiaoxue Zang; Yang Song 008; Jun Xu 001 (CIKM, 2024)

Inverse Learning with Extremely Sparse Feedback for Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Yinfeng Li; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Zhiheng Li 001; Depeng Jin; Yong Li 008 (WSDM, 2024)

A minimal coalition logic. - Yinfeng Li; Fengkui Ju (CoRR, 2024)

Completeness of two fragments of a logic for conditional strategic reasoning. - Yinfeng Li; Fengkui Ju (CoRR, 2024)

Completeness of coalition logics with seriality, independence of agents, or determinism. - Yinfeng Li; Fengkui Ju (CoRR, 2024)

Iterative Sparse Attention for Long-sequence Recommendation. - Guanyu Lin; Jinwei Luo; Yinfeng Li; Chen Gao 001; Qun Luo; Depeng Jin (AAAI, 2025)

Rational Capability in Concurrent Games. - Yinfeng Li; Emiliano Lorini; Munyque Mittelmann (AAMAS, 2025)

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model. - Wencheng Zhang; Shiqin Qiao; Lingjie Luo; Yinfeng Li; Chuanyang Zheng; Qian Xu; Meng Li; Yong Gui; Yijun He; Jianing Qiu; Jindong Hong; Jiankai Sun (CoRR, 2025)