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 (ICMLC, 2011)

Online Batch Decision-Making with High-Dimensional Covariates. - Chi-Hua Wang; Guang Cheng 003 (AISTATS, 2020)

Residual Bootstrap Exploration for Bandit Algorithms. - Chi-Hua Wang; Yang Yu 052; Botao Hao; Guang Cheng 003 (CoRR, 2020)

Online Regularization for High-Dimensional Dynamic Pricing Algorithms. - Chi-Hua Wang; Zhanyu Wang; Will Wei Sun; Guang Cheng 003 (CoRR, 2020)

Online Forgetting Process for Linear Regression Models. - Yuantong Li; Chi-Hua Wang; Guang Cheng 003 (AISTATS, 2021)

Optimum-statistical collaboration towards efficient black-box optimization. - Wenjie Li; Chi-Hua Wang; Guang Cheng 003 (CoRR, 2021)

Residual bootstrap exploration for stochastic linear bandit. - Shuang Wu; Chi-Hua Wang; Yuantong Li; Guang Cheng 003 (UAI, 2022)

Rate-Optimal Contextual Online Matching Bandit. - Yuantong Li; Chi-Hua Wang; Guang Cheng 003; Will Wei Sun (CoRR, 2022)

Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing. - Po-Yi Liu; Chi-Hua Wang; Heng-Hsui Tsai (CoRR, 2022)

Always Valid Risk Monitoring for Online Matrix Completion. - Chi-Hua Wang; Wenjie Li (CoRR, 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 003 (CoRR, 2022)

Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization. - Wenjie Li; Chi-Hua Wang; Guang Cheng 003; Qifan Song (Trans. Mach. Learn. Res., 2023)

Federated High-Dimensional Online Decision Making. - Chi-Hua Wang; Wenjie Li; Guang Lin (Trans. Mach. Learn. Res., 2023)

Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective. - Din-Yin Hsieh; Chi-Hua Wang; Guang Cheng 003 (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 003 (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 003 (CoRR, 2024)

BadGD: A unified data-centric framework to identify gradient descent vulnerabilities. - Chi-Hua Wang; Guang Cheng 003 (CoRR, 2024)

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models. - Joshua Ward; Chi-Hua Wang; Guang Cheng 003 (CoRR, 2024)

Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data. - Yu Xia; Chi-Hua Wang; Joshua Mabry; Guang Cheng 003 (CoRR, 2024)

Data Deletion for Linear Regression with Noisy SGD. - Zhangjie Xia; Chi-Hua Wang; Guang Cheng (CoRR, 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)

GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction. - Tung Sum Thomas Kwok; Chi-Hua Wang; Guang Cheng (CoRR, 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, 2025)