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Journal Articles
- 2022
[j4]Li Ye
, Hong Xie, Yishi Lin, John C. S. Lui:
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization. IEEE Trans. Knowl. Data Eng. 34(9): 4410-4424 (2022)- 2018
- [j3]Yishi Lin, Wei Chen, John C. S. Lui:
Boosting Information Spread: An Algorithmic Approach. IEEE Trans. Comput. Soc. Syst. 5(2): 344-357 (2018) - 2015
- [j2]Yishi Lin, John C. S. Lui:
Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework. Perform. Evaluation 91: 187-204 (2015) - 2014
- [j1]Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim:
Modelling multi-state diffusion process in complex networks: theory and applications. J. Complex Networks 2(4): 431-459 (2014)
Conference and Workshop Papers
- 2022
- [c9]Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li:
Generative Adversarial Framework for Cold-Start Item Recommendation. SIGIR 2022: 2565-2571 - 2021
- [c8]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin:
Stable Adversarial Learning under Distributional Shifts. AAAI 2021: 8662-8670 - [c7]Ye Li, Hong Xie, Yishi Lin, John C. S. Lui:
Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. WWW 2021: 2291-2303 - 2019
- [c6]Ye Li, Hong Xie, Yishi Lin, John C. S. Lui:
To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. ICDM 2019: 1180-1185 - [c5]Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin:
Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD 2019: 668-676 - 2017
- [c4]Yishi Lin, Wei Chen, John C. S. Lui:
Boosting Information Spread: An Algorithmic Approach. ICDE 2017: 883-894 - 2015
- [c3]Yishi Lin, Xiaowei Chen, John C. S. Lui:
I/O Efficient Algorithms for Exact Distance Queries on Disk-Resident Dynamic Graphs. ASONAM 2015: 440-447 - 2014
- [c2]Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui:
A provable algorithmic approach to product selection problems for market entry and sustainability. SSDBM 2014: 19:1-19:12 - 2013
- [c1]Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim:
Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. SITIS 2013: 506-513
Informal and Other Publications
- 2020
- [i5]Li Ye, Yishi Lin, Hong Xie, John C. S. Lui:
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. CoRR abs/2001.05699 (2020) - [i4]Qiaoan Chen, Hao Gu, Lingling Yi, Yishi Lin, Peng He, Chuan Chen, Yangqiu Song:
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems. CoRR abs/2005.04361 (2020) - [i3]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin:
Invariant Adversarial Learning for Distributional Robustness. CoRR abs/2006.04414 (2020) - 2016
- [i2]Yishi Lin, Wei Chen, John C. S. Lui:
Boosting Information Spread: An Algorithmic Approach. CoRR abs/1602.03111 (2016) - 2014
- [i1]Yishi Lin, John C. S. Lui:
Algorithmic Design for Competitive Influence Maximization Problems. CoRR abs/1410.8664 (2014)
Coauthor Index
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