Yishi Lin

According to our database, Yishi Lin authored at least 16 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization.

Li Ye, Hong Xie, Yishi Lin, John C. S. Lui

IEEE Trans. Knowl. Data Eng., 2022

Generative Adversarial Framework for Cold-Start Item Recommendation.

Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision.

Ye Li, Hong Xie, Yishi Lin, John C. S. Lui

Proceedings of the WWW '21: The Web Conference 2021, 2021

Stable Adversarial Learning under Distributional Shifts.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Invariant Adversarial Learning for Distributional Robustness.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

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

Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions.

Li Ye, Yishi Lin, Hong Xie, John C. S. Lui

CoRR, 2020

2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks.

Ye Li, Hong Xie, Yishi Lin, John C. S. Lui

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Boosting Information Spread: An Algorithmic Approach.

Yishi Lin, Wei Chen, John C. S. Lui

IEEE Trans. Comput. Soc. Syst., 2018

2015

Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework.

Yishi Lin, John C. S. Lui

Perform. Evaluation, 2015

I/O Efficient Algorithms for Exact Distance Queries on Disk-Resident Dynamic Graphs.

Yishi Lin, Xiaowei Chen, John C. S. Lui

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Algorithmic Design for Competitive Influence Maximization Problems.

Yishi Lin, John C. S. Lui

CoRR, 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

A provable algorithmic approach to product selection problems for market entry and sustainability.

Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

2013

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications.

Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013