Aochuan Chen
8 papers · 2023–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (27) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Triple Crown
β
The Questioner
Conferences
ACL (2)
NIPS (2)
CVPR (1)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
transfer learning
(2)
low-rank adaptation
(2)
large language model
(2)
foundation model
(2)
model compression
(2)
self-supervised learning
(1)
supervised learning
(1)
model adaptation
(1)
graph representation
(1)
neural network optimization
(1)
feature mapping
(1)
parameter-efficient fine-tuning
(1)
parameter efficient fine-tuning
(1)
data efficiency
(1)
zero-shot transfer
(1)
self-supervised pretraining
(1)
contrastive language-image pretraining
(1)
visual prompting
(1)
circular convolution
(1)
label mapping
(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
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
ECCV 2024
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
CVPR 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NIPS 2023