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2020 – today
- 2025
[c11]Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li:
Parameter-Efficient Fine-Tuning via Circular Convolution. ACL (Findings) 2025: 2004-2019- [c10]Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung:
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. ACL (Findings) 2025: 2701-2718 - [c9]Aochuan Chen
, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li:
Mini-Game Lifetime Value Prediction in WeChat. KDD (2) 2025: 4320-4329 - [i12]Haihong Zhao, Chenyi Zi, Aochuan Chen, Jia Li:
A Survey of Cross-domain Graph Learning: Progress and Future Directions. CoRR abs/2503.11086 (2025) - [i11]Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li:
Mini-Game Lifetime Value Prediction in WeChat. CoRR abs/2506.11037 (2025) - [i10]Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung:
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. CoRR abs/2506.16787 (2025) - 2024
- [c8]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. ECCV (57) 2024: 385-403 - [c7]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 - [c6]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML 2024 - [c5]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: 4443-4454 - [c4]Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li:
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. NeurIPS 2024 - [i9]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 abs/2402.09834 (2024) - [i8]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR abs/2405.03003 (2024) - [i7]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 abs/2407.07457 (2024) - [i6]Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li:
Parameter-Efficient Fine-Tuning via Circular Convolution. CoRR abs/2407.19342 (2024) - 2023
- [c3]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR 2023: 19133-19143 - [c2]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. ICASSP 2023: 1-5 - [c1]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 - [i5]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 abs/2310.02025 (2023) - [i4]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 abs/2310.08782 (2023) - [i3]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 abs/2310.11868 (2023) - 2022
- [i2]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. CoRR abs/2210.06284 (2022) - [i1]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR abs/2211.11635 (2022)
Coauthor Index
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