Ikuti
Aochuan Chen
Aochuan Chen
The Hong Kong University of Science and Technology (Guangzhou)
Email yang diverifikasi di connect.hkust-gz.edu.cn
Judul
Dikutip oleh
Dikutip oleh
Tahun
Understanding and improving visual prompting: A label-mapping perspective
A Chen, Y Yao, PY Chen, Y Zhang, S Liu
CVPR 2023, 2023
802023
To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now
Y Zhang*, J Jia*, X Chen, A Chen, Y Zhang, J Liu, K Ding, S Liu
ECCV 2024, 2024
652024
All in one and one for all: A simple yet effective method towards cross-domain graph pretraining
H Zhao*, A Chen*, X Sun*, H Cheng, J Li
SIGKDD 2024, 2024
392024
Visual prompting for adversarial robustness
A Chen*, P Lorenz*, Y Yao, PY Chen, S Liu
ICASSP 2023, 2023
392023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
A Chen*, Y Zhang*, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ...
ICLR 2024, 2024
382024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Z Gao*, Q Wang*, A Chen*, Z Liu, B Wu, L Chen, J Li
ICML 2024, 2024
242024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
Y Li*, P Wang*, X Zhu, A Chen, H Jiang, D Cai, VWK Chan, J Li
NeurIPS 2024 DB Track, 2024
122024
Visual Prompting Reimagined: The Power of Activation Prompts
Y Zhang, H Li, Y Yao, A Chen, S Zhang, PY Chen, M Wang, S Liu
CPAL 2025, 2024
9*2024
Selectivity drives productivity: efficient dataset pruning for enhanced transfer learning
Y Zhang*, Y Zhang*, A Chen*, J Liu, G Liu, M Hong, S Chang, S Liu
NeurIPS 2023, 2023
82023
Parameter-Efficient Fine-Tuning via Circular Convolution
A Chen*, J Cheng*, Z Liu, Z Gao, F Tsung, Y Li, J Li
arXiv preprint arXiv:2407.19342, 2024
22024
LoRA Unleashed: Effortlessly Advancing from Low to Arbitrary Rank
J Cheng, A Chen, Z Gao, Y Li, J Li, F Tsung
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