| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 6995 | 2023 |
| Neural Logic Machines H Dong, J Mao, T Lin, C Wang, LL Li, D Zhou International Conference on Learning Representations, 2019 | 411 | 2019 |
| Combinatorial pure exploration of multi-armed bandits S Chen, T Lin, I King, MR Lyu, W Chen Advances in neural information processing systems 27, 2014 | 276 | 2014 |
| Robust influence maximization W Chen, T Lin, Z Tan, M Zhao, X Zhou Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 263 | 2016 |
| Real-time Topic-aware Influence Maximization Using Preprocessing W Chen, T Lin, C Yang Computational Social Networks 3 (1), 8, 2016 | 100 | 2016 |
| Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications T Lin, B Abrahao, R Kleinberg, JCS Lui, W Chen Proceedings of the 31st International Conference on Machine Learning 32 (1 …, 2014 | 68 | 2014 |
| Stochastic online greedy learning with semi-bandit feedbacks T Lin, J Li, W Chen Advances in Neural Information Processing Systems 28, 2015 | 44 | 2015 |
| Combining traditional marketing and viral marketing with amphibious influence maximization W Chen, F Li, T Lin, A Rubinstein Proceedings of the sixteenth ACM conference on economics and computation …, 2015 | 37 | 2015 |
| Adaptive mixture of low-rank factorizations for compact neural modeling T Chen, J Lin, T Lin, S Han, C Wang, D Zhou NeurIPS'19: Energy Efficient Machine Learning and Cognitive Computing (EMC …, 2018 | 26 | 2018 |
| Doubly sparse: Sparse mixture of sparse experts for efficient softmax inference S Liao, T Chen, T Lin, D Zhou, C Wang arXiv preprint arXiv:1901.10668, 2019 | 2 | 2019 |
| On the Combinatorial Pure Exploration of Multi-Armed Bandit Z Tan, T Lin, J Li, W Chen | | |
Wei Chen （陈 卫）Microsoft Research, ACM/IEEE FellowVerified email at microsoft.com
