Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. - Yishi Lin; John C. S. Lui; Kyomin Jung; Sungsu Lim (SITIS, 2013)

A provable algorithmic approach to product selection problems for market entry and sustainability. - Silei Xu; Yishi Lin; Hong Xie 004; John C. S. Lui (SSDBM, 2014)

Modelling multi-state diffusion process in complex networks: theory and applications. - Yishi Lin; John C. S. Lui; Kyomin Jung; Sungsu Lim (J. Complex Networks, 2014)

Algorithmic Design for Competitive Influence Maximization Problems. - Yishi Lin; John C. S. Lui (CoRR, 2014)

I/O Efficient Algorithms for Exact Distance Queries on Disk-Resident Dynamic Graphs. - Yishi Lin; Xiaowei Chen 002; John C. S. Lui (ASONAM, 2015)

Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework. - Yishi Lin; John C. S. Lui (Perform. Evaluation, 2015)

Boosting Information Spread: An Algorithmic Approach. - Yishi Lin; Wei Chen 013; John C. S. Lui (IEEE Trans. Comput. Soc. Syst., 2018)

To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. - Ye Li; Hong Xie 004; Yishi Lin; John C. S. Lui (ICDM, 2019)

Fates of Microscopic Social Ecosystems: Keep Alive or Dead? - Haoyang Li 001; Peng Cui 001; Chengxi Zang; Tianyang Zhang 001; Wenwu Zhu 001; Yishi Lin (KDD, 2019)

Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. - Li Ye; Yishi Lin; Hong Xie 004; John C. S. Lui (CoRR, 2020)

SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems. - Qiaoan Chen; Hao Gu; Lingling Yi; Yishi Lin; Peng He; Chuan Chen; Yangqiu Song (CoRR, 2020)

Invariant Adversarial Learning for Distributional Robustness. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (CoRR, 2020)

Stable Adversarial Learning under Distributional Shifts. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (AAAI, 2021)

Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. - Ye Li; Hong Xie 004; Yishi Lin; John C. S. Lui (WWW, 2021)

Generative Adversarial Framework for Cold-Start Item Recommendation. - Hao Chen 062; Zefan Wang; Feiran Huang; Xiao Huang 001; Yue Xu; Yishi Lin; Peng He; Zhoujun Li 001 (SIGIR, 2022)

Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization. - Li Ye; Hong Xie 004; Yishi Lin; John C. S. Lui (IEEE Trans. Knowl. Data Eng., 2022)