Tianhao Wang

According to our database, Tianhao Wang authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity.

Tianhao Wang, Ruoxi Jia

CoRR, 2022

2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia

Proc. Priv. Enhancing Technol., 2021

Concurrent Composition of Differential Privacy.

Salil P. Vadhan, Tianhao Wang

IACR Cryptol. ePrint Arch., 2021

Learning to Refit for Convex Learning Problems.

Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

CoRR, 2021

Zero-Round Active Learning.

Si Chen, Tianhao Wang, Ruoxi Jia

CoRR, 2021

Learnability of Learning Performance and Its Application to Data Valuation.

Tianhao Wang, Yu Yang, Ruoxi Jia

CoRR, 2021

A Unified Framework for Task-Driven Data Quality Management.

Tianhao Wang, Yi Zeng, Ming Jin, Ruoxi Jia

CoRR, 2021

One-Round Active Learning.

Tianhao Wang, Si Chen, Ruoxi Jia

CoRR, 2021

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization.

Tianhao Wang, Yuheng Zhang, Ruoxi Jia

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

2020

A Principled Approach to Data Valuation for Federated Learning.

Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Principled Approach to Data Valuation for Federated Learning.

Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song

CoRR, 2020