Chi-Heng Lin
18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8)
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Interdisciplinary Bridge
π
Conference Polyglot
(8)
π
Academic Marathon
(5)
ποΈ
Keyword Collector
(69)
π
Century Club
(17)
π₯
Unstoppable
(6)
β‘
Prolific Year
(6)
Conferences
ICML (5)
NAACL (3)
NIPS (3)
ICLR (2)
AACL (1)
ACL (1)
IJCNLP (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
neural network optimization
(3)
self-supervised learning
(3)
large language model
(3)
language model
(3)
optimal transport
(2)
model compression
(2)
mixture of expert
(2)
state-space model
(2)
multi-head attention
(2)
distribution alignment
(2)
gradient descent
(2)
efficient computing
(1)
model architecture
(1)
synthetic data generation
(1)
hyperparameter optimization
(1)
representation learning
(1)
ridge regression
(1)
model pruning
(1)
language modeling
(1)
non-convex optimization
(1)
Papers
VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
ACL 2026
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
IJCNLP 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
AACL 2025
MoDeGPT: Modular Decomposition for Large Language Model Compression
ICLR 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
ICML 2024
SLiM: Speculative Decoding with Hypothesis Reduction
NAACL 2024
Your contrastive learning problem is secretly a distribution alignment problem
NIPS 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NIPS 2024
Half-Hop: A graph upsampling approach for slowing down message passing
ICML 2023
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
ICML 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NIPS 2021
A Modular Analysis of Provable Acceleration via Polyakβs Momentum: Training a Wide ReLU Network and a Deep Linear Network
ICML 2021
Making transport more robust and interpretable by moving data through a small number of anchor points
ICML 2021
Bayesian optimization for modular black-box systems with switching costs
UAI 2021
Escaping Saddle Points Faster with Stochastic Momentum
ICLR 2020