Aochuan Chen

According to our database, Aochuan Chen authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

Mini-Game Lifetime Value Prediction in WeChat.

Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li

CoRR, June, 2025

A Survey of Cross-domain Graph Learning: Progress and Future Directions.

Haihong Zhao, Chenyi Zi, Aochuan Chen, Jia Li

CoRR, March, 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.

Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Parameter-Efficient Fine-Tuning via Circular Convolution.

Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Parameter-Efficient Fine-Tuning via Circular Convolution.

Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li

CoRR, 2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models.

Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.

Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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