| Incentivized bandit learning with self-reinforcing user preferences T Zhou, J Liu, C Dong, J Deng International Conference on Machine Learning, 12824-12834, 2021 | 4 | 2021 |
| 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 | 3 | 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 | 2 | 2023 |
| 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 | 1 | 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: 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 | | 2022 |
| GraphTrack: An unsupervised graph-based cross-device tracking framework T Zhou | | 2019 |
Chaosheng DongAmazonVerified email at amazon.com
