Understanding and Improving Visual Prompting: A Label-Mapping Perspective. - Aochuan Chen; Yuguang Yao; Pin-Yu Chen; Yihua Zhang; Sijia Liu 001 (CVPR, 2023)

Visual Prompting for Adversarial Robustness. - Aochuan Chen; Peter Lorenz; Yuguang Yao; Pin-Yu Chen; Sijia Liu 001 (ICASSP, 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 001; Shiyu Chang; Sijia Liu 001 (NeurIPS, 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 001 (ECCV (57), 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 005; Bhavya Kailkhura; Sijia Liu 001 (ICLR, 2024)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. - Ziqi Gao; Qichao Wang; Aochuan Chen; Zijing Liu; Bingzhe Wu; Liang Chen 001; Jia Li 009 (ICML, 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 001; Jia Li 009 (KDD, 2024)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models. - Yuhan Li 001; Peisong Wang; Xiao Zhu; Aochuan Chen; Haiyun Jiang; Deng Cai 002; Wai Kin (Victor) Chan; Jia Li 009 (NeurIPS, 2024)

Parameter-Efficient Fine-Tuning via Circular Convolution. - Aochuan Chen; Ziqi Gao; Zijing Liu; Yu Li 003; Jia Li 009 (CoRR, 2024)

Parameter-Efficient Fine-Tuning via Circular Convolution. - Aochuan Chen; Jiashun Cheng; Zijing Liu; Ziqi Gao; Fugee Tsung; Yu Li 003; Jia Li 009 (ACL (Findings), 2025)

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. - Jiashun Cheng; Aochuan Chen; Nuo Chen 001; Ziqi Gao; Yuhan Li 001; Jia Li 009; Fugee Tsung (ACL (Findings), 2025)

A Survey of Cross-domain Graph Learning: Progress and Future Directions. - Haihong Zhao; Chenyi Zi; Aochuan Chen; Jia Li 009 (CoRR, 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, 2025)