| Incentivized bandit learning with self-reinforcing user preferences T Zhou, J Liu, C Dong, J Deng International Conference on Machine Learning, 12824-12834, 2021 | 6 | 2021 |
| Bandit learning to rank with position-based click models: Personalized and equal treatments T Zhou, J Liu, Y Jiao, C Dong, Y Chen, Y Gao, Y Sun arXiv preprint arXiv:2311.04528, 2023 | 5 | 2023 |
| Adaselection: Accelerating deep learning training through data subsampling M Zhang, C Dong, J Fu, T Zhou, J Liang, J Liu, B Liu, M Momma, B Wang, ... arXiv preprint arXiv:2306.10728, 2023 | 5 | 2023 |
| Multi-task learning on heterogeneous graph neural network for substitute recommendation T Zhou, M Momma, C Dong, F Yang, C Guo, J Shang, JK Liu | 4 | 2023 |
| GraphTrack: A Graph-based Cross-Device Tracking Framework B Wang, T Zhou, S Li, Y Cao, N Gong ACM ASIA Conference on Computer and Communications Security, 2022 | 2 | 2022 |
| Finite-time convergence and sample complexity of actor-critic multi-objective reinforcement learning T Zhou, FNU Hairi, H Yang, J Liu, T Tong, F Yang, M Momma, Y Gao ICML, 2024 | 1 | 2024 |
| AdaSelection: Accelerating deep learning training through adaptive data subsampling M Zhang, C Dong, J Fu, T Zhou, J Liang, JK Liu, B Liu, M Momma, ... | | 2024 |
| Bandit Learning Problems in Recommendation Systems: Self-Reinforcing User Preferences, Delayed Feedback, and Online Learning to Rank T Zhou The Ohio State University, 2023 | | 2023 |
| Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences T Zhou, J Liu, C Dong, Y Sun International Conference on Learning Representations, 2022 | | 2022 |
| GraphTrack: An unsupervised graph-based cross-device tracking framework T Zhou | | 2019 |
Chaosheng DongSenior Applied Scientist, AmazonVerified email at amazon.com