Profit-based on-demand broadcast scheduling of real-time multi-item requests. - Jingsong Lv; Victor C. S. Lee; Minming Li; Enhong Chen (SAC, 2010)

Admission Control and Channel Allocation of Multi-item Requests for Real-Time Data Broadcast. - Jingsong Lv; Victor C. S. Lee; Minming Li; Enhong Chen (RTCSA, 2012)

Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems. - Jingsong Lv; Victor C. S. Lee; Minming Li; Enhong Chen (Data Knowl. Eng., 2012)

Random Walk with Pre-filtering for Social Link Prediction. - Ting Jin; Tong Xu 001; Enhong Chen; Qi Liu 003; Haiping Ma; Jingsong Lv; Guoping Hu (CIS, 2013)

Personalized next-song recommendation in online karaokes. - Xiang Wu; Qi Liu 003; Enhong Chen; Liang He 010; Jingsong Lv; Can Cao; Guoping Hu (RecSys, 2013)

Admission Control-Based Multichannel Data Broadcasting for Real-Time Multi-Item Queries. - G. G. Md. Nawaz Ali; Victor C. S. Lee; Edward Chan; Minming Li; Kai Liu 001; Jingsong Lv; Jun Chen 020 (IEEE Trans. Broadcast., 2014)

Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation. - Chu Guan; Qi Liu 003; Jingsong Lv; Enhong Chen; Hengshu Zhu; Xin Li 064 (WI-IAT (1), 2015)

Supporting multi-level quality of services in data broadcast systems. - Jingsong Lv; Victor C. S. Lee; Minming Li; Enhong Chen (Int. J. Sens. Networks, 2015)

Optimization of Dynamic Preventive Maintenance for Multicomponent Systems. - Zhigang Chen; Hong Xiao; Rongyue Zhang; Xiucong Shi; YuBing Zhou; Jingsong Lv; Shengyun Xu (iThings/GreenCom/CPSCom/SmartData, 2018)

Safety Analysis of Metro Turnouts Based on Fuzzy FMECA. - Jingsong Lv; Shengyun Xu; Rongyue Zhang; Hong Xiao; Zhigang Chen (iThings/GreenCom/CPSCom/SmartData, 2018)

Path-aware Siamese Graph Neural Network for Link Prediction. - Jingsong Lv; Zhao Li 007; Hongyang Chen; Yao Qi; Chunqi Wu (CoRR, 2022)

Learning Invariant Molecular Representation in Latent Discrete Space. - Xiang Zhuang; Qiang Zhang 026; Keyan Ding; Yatao Bian; Xiao Wang 014; Jingsong Lv; Hongyang Chen; Huajun Chen (NeurIPS, 2023)

Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer? - Jingsong Lv; Hongyang Chen; Yao Qi; Lei Yu (CoRR, 2023)

UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition. - Jiazhen Lou; Zhao Li; Hong Wen 002; Jingsong Lv; Jing Zhang 037; Fuyu Lv; Zulong Chen; Jia Wu (ADMA (6), 2024)

Path-Aware Siamese Graph Neural Network for Link Prediction. - Jingsong Lv; Zhao Li 007; Hongyang Chen; Ting Li (ADMA (3), 2024)

LEMTL: Enhancing the pharmacokinetic predictions of multitask learning with existing pharmacokinetics. - Ying Li; Xiao Deng; Jingsong Lv; Hongyang Chen; Yao Yang (BIBM, 2024)

Improving Graph Out-of-distribution Generalization on Real-world Data. - Can Xu; Yao Cheng; Jianxiang Yu 001; Haosen Wang; Jingsong Lv; Xiang Li 067 (CoRR, 2024)

GQWformer: A Quantum-based Transformer for Graph Representation Learning. - Lei Yu; Hongyang Chen; Jingsong Lv; Linyao Yang (CoRR, 2024)

Knowledge-Flow Contrastive Learning for recommendation. - Wenhe Xing; Jingsong Lv; Yipeng Zhou; Shiting Wen; Detian Zhang (Inf. Fusion, 2026)