Aochuan Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Transfer Knowledge

Visual Representation

Discrete Fourier Transform

Convolution Kernel

Top Venues

Publications

Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. ICLR (2024)
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR (2024)
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. CoRR (2024)
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR (2024)
Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li
Parameter-Efficient Fine-Tuning via Circular Convolution. CoRR (2024)
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD (2024)
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now. CoRR (2023)
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. CoRR (2023)
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. CoRR (2023)
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. NeurIPS (2023)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR (2023)
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
Visual Prompting for Adversarial Robustness. ICASSP (2023)
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
Visual Prompting for Adversarial Robustness. CoRR (2022)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR (2022)