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

Error-Resilient Multicast for Multi-View 3D Videos in IEEE 802.11 Networks. - Chi-Heng Lin; De-Nian Yang; Ji-Tang Lee; Wanjiun Liao (CoRR, 2015)

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

Downlink Linear Precoders Based on Statistical CSI for Multicell MIMO-OFDM. - Ebrahim Baktash; Chi-Heng Lin; Xiaodong Wang 001; Mahmood Karimi (Wirel. Commun. Mob. Comput., 2017)

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

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

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

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

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

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. - Mehdi Azabou; Mohammad Gheshlaghi Azar; Ran Liu; Chi-Heng Lin; Erik C. Johnson; Kiran Bhaskaran-Nair; Max Dabagia; Keith B. Hengen; William R. Gray Roncal; Michal Valko; Eva L. Dyer (CoRR, 2021)

Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out. - Jun-Kun Wang; Chi-Heng Lin; Andre Wibisono; Bin Hu (ICML, 2022)

Half-Hop: A graph upsampling approach for slowing down message passing. - Mehdi Azabou; Venkataramana Ganesh; Shantanu Thakoor; Chi-Heng Lin; Lakshmi Sathidevi; Ran Liu; Michal Valko; Petar Velickovic; Eva L. Dyer (ICML, 2023)

Understanding Data Manipulation and How to Leverage it To Improve Generalization. - Chi-Heng Lin (2023)

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance. - Chiraag Kaushik; Ran Liu; Chi-Heng Lin; Amrit Khera; Matthew Y. Jin; Wenrui Ma; Vidya Muthukumar; Eva L. Dyer (ICML, 2024)

SLiM: Speculative Decoding with Hypothesis Reduction. - Chi-Heng Lin; Shikhar Tuli; James Seale Smith; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (NAACL-HLT (Findings), 2024)

DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. - Shikhar Tuli; Chi-Heng Lin; Yen-Chang Hsu; Niraj K. Jha; Yilin Shen; Hongxia Jin (NAACL-HLT, 2024)

Your contrastive learning problem is secretly a distribution alignment problem. - Zihao Chen; Chi-Heng Lin; Ran Liu; Jingyun Xiao; Eva L. Dyer (NeurIPS, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Zheng Tang; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (NeurIPS, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Tang Zheng; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (CoRR, 2024)

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective. - Chi-Heng Lin; Chiraag Kaushik; Eva L. Dyer; Vidya Muthukumar (J. Mach. Learn. Res., 2024)

MoDeGPT: Modular Decomposition for Large Language Model Compression. - Chi-Heng Lin; Shangqian Gao; James Seale Smith; Abhishek Patel; Shikhar Tuli; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (ICLR, 2025)

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing. - James Seale Smith; Chi-Heng Lin; Shikhar Tuli; Haris Jeelani; Shangqian Gao; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (NAACL (Long Papers), 2025)

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. - Shangqian Gao; Ting Hua; Reza Shirkavand; Chi-Heng Lin; Zhen Tang; Zhengao Li; Longge Yuan; Fangyi Li; Zeyu Zhang; Alireza Ganjdanesh; Qian Lou; Xu Jie; et al. (CoRR, 2025)