Aochuan Chen
8 papers · 2023–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Taxonomy Completionist
(28)
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Hot Topic Early Bird
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Triple Crown
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The Questioner
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Research topics
Machine Learning
(7)
Deep Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Learning Types · Deep Learning
(5)
Core AI
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory · Deep Learning
(3)
Core Methods
(2)
Learning Paradigms
(2)
Optimization & Theory · Machine Learning
(2)
Techniques
(2)
Architectures
(1)
Models
(1)
Keywords
foundation model
(3)
low-rank adaptation
(3)
large language model
(2)
transfer learning
(2)
model compression
(2)
self-supervised learning
(1)
supervised learning
(1)
model adaptation
(1)
graph representation
(1)
neural network optimization
(1)
gradient estimation
(1)
model pruning
(1)
fourier transform
(1)
feature mapping
(1)
deep neural network
(1)
adversarial defense
(1)
zeroth-order optimization
(1)
parameter-efficient fine-tuning
(1)
data efficiency
(1)
zero-shot transfer
(1)
Papers
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NeurIPS 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
ECCV 2024
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NeurIPS 2023
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
CVPR 2023