Chi-Hua Wang

According to our database, Chi-Hua Wang authored at least 26 papers between 2011 and 2025.

Collaborative distances:

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

2025

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis.

Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng

CoRR, September, 2025

Ensembling Membership Inference Attacks Against Tabular Generative Models.

Joshua Ward, Yuxuan Yang, Chi-Hua Wang, Guang Cheng

CoRR, September, 2025

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks.

Joshua Ward, Chi-Hua Wang, Guang Cheng

CoRR, August, 2025

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering.

Tung Sum Thomas Kwok, Zeyong Zhang, Chi-Hua Wang, Guang Cheng

CoRR, July, 2025

GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction.

Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng

Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

2024

DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room.

Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng

CoRR, 2024

Data Deletion for Linear Regression with Noisy SGD.

Zhangjie Xia, Chi-Hua Wang, Guang Cheng

CoRR, 2024

Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data.

Yu Xia, Chi-Hua Wang, Joshua Mabry, Guang Cheng

CoRR, 2024

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models.

Joshua Ward, Chi-Hua Wang, Guang Cheng

CoRR, 2024

BadGD: A unified data-centric framework to identify gradient descent vulnerabilities.

Chi-Hua Wang, Guang Cheng

CoRR, 2024

Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data.

Lan Tao, Shirong Xu, Chi-Hua Wang, Namjoon Suh, Guang Cheng

CoRR, 2024

Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models.

Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng

CoRR, 2024

Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective.

Din-Yin Hsieh, Chi-Hua Wang, Guang Cheng

CoRR, 2024

2023

Federated High-Dimensional Online Decision Making.

Chi-Hua Wang, Wenjie Li, Guang Lin

Trans. Mach. Learn. Res., 2023

Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization.

Wenjie Li, Chi-Hua Wang, Guang Cheng, Qifan Song

Trans. Mach. Learn. Res., 2023

2022

On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation.

Yucong Liu, Chi-Hua Wang, Guang Cheng

CoRR, 2022

Always Valid Risk Monitoring for Online Matrix Completion.

Chi-Hua Wang, Wenjie Li

CoRR, 2022

Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing.

Po-Yi Liu, Chi-Hua Wang, Heng-Hsui Tsai

CoRR, 2022

Rate-Optimal Contextual Online Matching Bandit.

Yuantong Li, Chi-Hua Wang, Guang Cheng, Will Wei Sun

CoRR, 2022

Residual bootstrap exploration for stochastic linear bandit.

Shuang Wu, Chi-Hua Wang, Yuantong Li, Guang Cheng

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Optimum-statistical collaboration towards efficient black-box optimization.

Wenjie Li, Chi-Hua Wang, Guang Cheng

CoRR, 2021

Online Forgetting Process for Linear Regression Models.

Yuantong Li, Chi-Hua Wang, Guang Cheng

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Online Regularization for High-Dimensional Dynamic Pricing Algorithms.

Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng

CoRR, 2020

Residual Bootstrap Exploration for Bandit Algorithms.

Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng

CoRR, 2020

Online Batch Decision-Making with High-Dimensional Covariates.

Chi-Hua Wang, Guang Cheng

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2011

Constant speed VSC of a spherical robot driven by Omni wheels.

Chi-Hua Wang, Yu-Hsiang Lin, Kun-Shu Huang, Bore-Kuen Lee, Kuo-Bin Lin, Chi-Kuang Hwang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011