Publications

Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar (2022). [Preprint] The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective.

Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer (2021). Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity. NeurIPS 2021 (oral presentation).

Chi-Heng Lin, Mehdi Azabou, Eva L Dyer (2021). Making transport more robust and interpretable by moving data through a small number of anchor points. ICML 2021.

PDF Cite Project

Chi-Heng Lin, Joseph D Miano, Eva L Dyer (2021). Bayesian optimization for modular black-box systems with switching costs. UAI 2021.

PDF Cite Project

Jun-Kun Wang, Chi-Heng Lin, Jacob Abernethy (2021). A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network. ICML 2021.

Jun-Kun Wang, Chi-Heng Lin, Jacob Abernethy (2020). Escaping Saddle Points Faster with Stochastic Momentum. ICLR 2020.

Ebrahim Baktash, Chi-Heng Lin, Xiaodong Wang, and Mahmood Karimi (2017). Downlink Linear Precoders Based on Statistical CSI for Multicell MIMO-OFDM. Wireless Communications and Mobile Computing.

Chi-Heng Lin, De-Niang Yang, Ji-Tang Lee, Wanjium Liao (2016). Efficient Error-Resilient Multicasting for Multi-View 3D Videos in Wireless Networks. GLOBECOM 2016.

Fan-Min Tseng, Chi-Heng Lin, Kwang-Cheng Chen (2013). In-Network Computations of Machine-to-Machine Communications for Wireless Robotics. Wireless Personal Communication.