Yen-Chang Hsu
25 papers · 2018–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
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Renaissance Researcher
(5)
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Taxonomy Completionist
(48)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(19)
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(86)
π₯
Unstoppable
(8)
π
Century Club
(25)
Conferences
ICLR (5)
NAACL (5)
NIPS (4)
CVPR (2)
EMNLP (2)
IJCNLP (2)
AACL (1)
ACL (1)
ICCV (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
model compression
(6)
language model
(4)
singular value decomposition
(3)
efficient computing
(3)
large language model
(3)
neural network
(3)
mixture of expert
(2)
continual learning
(2)
multi-head attention
(2)
domain generalization
(2)
transformer architecture
(2)
state-space model
(2)
matrix decomposition
(2)
out-of-distribution detection
(2)
low-rank approximation
(2)
spoken language understanding
(2)
intent classification
(2)
neural network optimization
(2)
knowledge distillation
(2)
out-of-domain detection
(2)
Papers
Retraining-free Merging of Sparse MoE via Hierarchical Clustering
ICML 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
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
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
SLiM: Speculative Decoding with Hypothesis Reduction
NAACL 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NIPS 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Adaptive Rank Selections for Low-Rank Approximation of Language Models
NAACL 2024
Training Energy-Based Normalizing Flow with Score-Matching Objectives
NIPS 2023
Dynamic Low-rank Estimation for Transformer-based Language Models
EMNLP 2023
Language model compression with weighted low-rank factorization
ICLR 2022
DictFormer: Tiny Transformer with Shared Dictionary
ICLR 2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
EMNLP 2022
Lite-MDETR: A Lightweight Multi-Modal Detector
CVPR 2022
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
NIPS 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 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
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
IJCNLP 2021
Posterior Re-calibration for Imbalanced Datasets
NIPS 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
CVPR 2020
Multi-class classification without multi-class labels
ICLR 2019
Learning to cluster in order to transfer across domains and tasks
ICLR 2018