A Hybrid-Distributed Base Station Wake-up Algorithm in Dense Heterogeneous Cellular Networks. - Da Li; Wen'an Zhou; Jianlong Liu; Bingqian Li (BWCCA, 2017)

A Macro-Assisted Cooperative Edge Caching in Heterogeneous Mobile Networks. - Bingqian Li; Wenan Zhou; Xuhui Yang (IMIS, 2017)

Research on General Wearable Technology Based on Embedded Operating System. - Ting Zhang; Bingqian Li; Chenwang Xu; Jiahao Wang (CSIA, 2019)

A Novel RFDI-FTC System for Thrust-Vectoring Aircraft Undergoing Control Surface Damage and Actuator Faults During Supermaneuverable Flight. - Xiaoshan Ma; Wenhan Dong; Bingqian Li (IEEE Access, 2019)

Comprehensive Fault-Tolerant control of Leader-follower Unmanned Aerial Vehicles (UAVs) formation. - Xiaoshan Ma; Wenhan Dong; Bingqian Li (Int. J. Robotics Autom., 2019)

Seizure Detection Based on Improved Genetic Algorithm Optimized Multilayer Network. - Yuhuan Xiong; Fang Dong 003; Duanpo Wu; Lurong Jiang; Junbiao Liu; Bingqian Li (IEEE Access, 2022)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Daoyuan Wang; Hongyu Wang; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao (CIKM, 2024)

Hybrid Reinforcement Learning based on Human Preference and Advice for Efficient Robot Skill Learning. - Bingqian Li; Xing Liu 009; Zhengxiong Liu; Panfeng Huang (ICARM, 2024)

SC-WGAN: GAN-Based Oversampling Method for Network Intrusion Detection. - Wuxia Bai; Kailong Wang 001; Kai Chen 012; Shenghui Li; Bingqian Li; Ning Zhang (ICECCS, 2024)

UARC:Unsupervised Anomalous Traffic Detection with Improved U-Shaped Autoencoder and RetNet Based Multi-clustering. - Yunyang Xie; Kai Chen; Shenghui Li; Bingqian Li; Ning Zhang (ICICS (1), 2024)

Mutual Compromised Multi-feature Fusion Method for Cross-modal Hashing Retrieval. - Kangnan Bai; Pengyi Gao; Kai Chen; Xin Nie; Shenghui Li; Bingqian Li (ICME, 2024)

Enhancing Natural Language Understanding in Large Language Models by Symbolic Representation. - Bingqian Li; Baiyang Song; Yi Zhou (KiL@KDD, 2024)

Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2024)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao (CoRR, 2024)

LLMBox: A Comprehensive Library for Large Language Models. - Tianyi Tang; Yiwen Hu; Bingqian Li; Wenyang Luo; Zijing Qin; Haoxiang Sun; Jiapeng Wang; Shiyi Xu; Xiaoxue Cheng; Geyang Guo; Han Peng; Bowen Zheng 005; et al. (CoRR, 2024)

Fast metric multi-view hashing for multimedia retrieval. - Jian Zhu; Pengbo Hu; Bingqian Li; Yi Zhou (Inf. Fusion, 2024)

Episode-Fuzzy-COACH Method for Fast Robot Skill Learning. - Bingqian Li; Xing Liu 009; Zhengxiong Liu; Panfeng Huang (IEEE Trans. Ind. Electron., 2024)

Quality Assessment and Application Scenario Analysis of AGRI Land Aerosol Product from the Geostationary Satellite Fengyun-4B in China. - Nan Wang 019; Bingqian Li; Zhili Jin; Wei Wang 107 (Sensors, 2024)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao; Ji-Rong Wen (ACM Trans. Knowl. Discov. Data, 2025)