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Chi-Heng Lin
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Mine your own view: A self-supervised approach for learning representations of neural activity
M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ...
47*
Drop, swap, and generate: A self-supervised approach for generating neural activity
R Liu, M Azabou, M Dabagia, CH Lin, M Gheshlaghi Azar, K Hengen, ...
Advances in neural information processing systems 34, 10587-10599, 2021
37*2021
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
JK Wang, CH Lin, J Abernethy
International Conference on Machine Learning (ICML) 2021, 2021
252021
Escaping saddle points faster with stochastic momentum
JK Wang, CH Lin, J Abernethy
International Conference on Learning Representations (ICLR) 2020, 2020
202020
Provable acceleration of heavy ball beyond quadratics for a class of Polyak-Lojasiewicz functions when the non-convexity is averaged-out
JK Wang, CH Lin, A Wibisono, B Hu
International conference on machine learning, 22839-22864, 2022
192022
Half-Hop: A graph upsampling approach for slowing down message passing
M Azabou, V Ganesh, S Thakoor, CH Lin, L Sathidevi, R Liu, M Valko, ...
ICML 2023, 2023
142023
Making transport more robust and interpretable by moving data through a small number of anchor points
CH Lin, M Azabou, EL Dyer
International Conference on Machine Learning (ICML) 2021, 2021
142021
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
CH Lin, C Kaushik, EL Dyer, V Muthukumar
Journal of Machine Learning Research, 2024
132024
Efficient error-resilient multicasting for multi-view 3D videos in wireless network
CH Lin, DN Yang, JT Lee, W Liao
2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016
112016
In-network computations of machine-to-machine communications for wireless robotics
FM Tseng, CH Lin, KC Chen
Wireless personal communications 70 (3), 1097-1119, 2013
62013
Bayesian optimization for modular black-box systems with switching costs
CH Lin, JD Miano, EL Dyer
Uncertainty in Artificial Intelligence (UAI) 2021, 2021
52021
Using self-supervision and augmentations to build insights into neural coding
M Azabou, M Dabagia, R Liu, CH Lin, KB Hengen, EL Dyer
Proceedings of Workshop on Self-Supervised Learning-Theory and Practice on …, 2021
22021
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
C Kaushik, R Liu, CH Lin, A Khera, MY Jin, W Ma, V Muthukumar, EL Dyer
ICML 2024, 2024
12024
Multicast Group Management for Multi-View 3D Videos in Wireless Networks
CH Lin, DN Yang, CC Lin, W Liao
arXiv preprint arXiv:1409.8352, 2014
12014
MoDeGPT: Modular Decomposition for Large Language Model Compression
CH Lin, S Gao, JS Smith, A Patel, S Tuli, Y Shen, H Jin, YC Hsu
arXiv preprint arXiv:2408.09632, 2024
2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
HJ Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj Jha, Yilin Shen
NAACL, 2024
2024
SLiM: Speculative Decoding with Hypothesis Reduction
HJ Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen
NAACL findings, 2024
2024
Understanding Data Manipulation and How to Leverage it To Improve Generalization
CH Lin
Georgia Institute of Technology, 2022
2022
Downlink Linear Precoders Based on Statistical CSI for Multicell MIMO‐OFDM
E Baktash, CH Lin, X Wang, M Karimi
Wireless Communications and Mobile Computing 2017 (1), 5981659, 2017
2017
Error-Resilient Multicasting for Multi-View 3D Videos in IEEE 802.11 Networks
CH Lin, DN Yang, JT Lee, W Liao
arXiv preprint arXiv:1503.08726, 2015
2015
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