ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. - Chang Zhou; Jinze Bai; Junshuai Song; Xiaofei Liu; Zhengchao Zhao; Xiusi Chen; Jun Gao 003 (AAAI, 2018)

UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. - Junshuai Song; Xiongcai Luo; Jun Gao 003; Chang Zhou; Hu Wei; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2018)

FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. - Zhao Li 007; Junshuai Song; Shichang Hu; Shasha Ruan; Long Zhang; Zehong Hu; Jun Gao 003 (ICDE, 2019)

Personalized Bundle List Recommendation. - Jinze Bai; Chang Zhou; Junshuai Song; Xiaoru Qu; Weiting An; Zhao Li 007; Jun Gao 003 (WWW, 2019)

PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. - Junshuai Song; Zhao Li 007; Zehong Hu; Yucheng Wu; Zhenpeng Li; Jian Li; Jun Gao 003 (ICDE, 2020)

Co-Displayed Items Aware List Recommendation. - Junshuai Song; Zhao Li 007; Chang Zhou; Jinze Bai; Zhenpeng Li; Jian Li; Jun Gao 003 (IEEE Access, 2020)

A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. - Junshuai Song; Xiaoru Qu; Zehong Hu; Zhao Li 007; Jun Gao 003; Ji Zhang 001 (Neurocomputing, 2021)

TRAttack": " Text Rewriting Attack Against Text Retrieval. - Junshuai Song; Jiangshan Zhang; Jifeng Zhu; Mengyun Tang; Yong Yang (RepL4NLP@ACL, 2022)

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. - Zhao Li 007; Junshuai Song; Zehong Hu; Zhen Wang 037; Jun Gao 003 (ACM Trans. Knowl. Discov. Data, 2022)

Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks. - Zhao Li 007; Xia Chen 004; Junshuai Song; Jun Gao 003 (IEEE Trans. Knowl. Data Eng., 2023)

Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. - Zhen Yang 034; Ming Ding 004; Tinglin Huang 002; Yukuo Cen; Junshuai Song; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)