Yen-Chang Hsu
23 papers · 2018–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Venues
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Research topics
Machine Learning
(22)
Application Areas
(15)
Artificial Intelligence
(11)
Deep Learning
(11)
Core AI
(10)
Optimization & Theory Β· Machine Learning
(9)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Optimization & Theory Β· Deep Learning
(6)
Architectures
(5)
Computer Vision
(4)
Natural Language Processing
(4)
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(4)
Analysis
(2)
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(2)
Keywords
model compression
(9)
singular value decomposition
(5)
neural network
(4)
matrix decomposition
(4)
large language model
(4)
language model
(4)
domain adaptation
(2)
knowledge distillation
(2)
distribution shift
(2)
transformer architecture
(2)
low-rank approximation
(2)
neural network optimization
(2)
fisher information
(2)
continual learning
(2)
out-of-distribution detection
(2)
language modeling
(2)
efficient computing
(2)
bayesian inference
(1)
transfer learning
(1)
domain generalization
(1)
Papers
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
MoDeGPT: Modular Decomposition for Large Language Model Compression
ICLR 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
IJCNLP 2025
Retraining-free Merging of Sparse MoE via Hierarchical Clustering
ICML 2025
Adaptive Rank Selections for Low-Rank Approximation of Language Models
NAACL 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NeurIPS 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
SLiM: Speculative Decoding with Hypothesis Reduction
NAACL 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Dynamic Low-rank Estimation for Transformer-based Language Models
EMNLP 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
NeurIPS 2023
DictFormer: Tiny Transformer with Shared Dictionary
ICLR 2022
Language model compression with weighted low-rank factorization
ICLR 2022
Lite-MDETR: A Lightweight Multi-Modal Detector
CVPR 2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
EMNLP 2022
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
NeurIPS 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
ICCV 2021
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
ACL 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 2021
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
CVPR 2020
Posterior Re-calibration for Imbalanced Datasets
NeurIPS 2020
Multi-class classification without multi-class labels
ICLR 2019
Learning to cluster in order to transfer across domains and tasks
ICLR 2018