Aochuan Chen

According to our database, Aochuan Chen authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.

Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li

CoRR, 2024

2023

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now.

Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu

CoRR, 2023

DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.

Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

CoRR, 2023

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.

Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Prompting for Adversarial Robustness.

Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Understanding and Improving Visual Prompting: A Label-Mapping Perspective.

Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023