Aochuan Chen

26 papers A* 6Misc 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems.
CoRR
Qifan Zhang, Jianhao Ruan, Aochuan Chen, Kang Zeng, Nuo Chen, Jing Tang, Jia Li
2026 — conf
Merchant Category Identification in Weixin Pay.
KDD (1)
Aochuan Chen, Haihong Zhao, Simin Huang, Xuan Zong, Jun Zhou, Jia Li
2025 J jnl
A Survey of Cross-domain Graph Learning: Progress and Future Directions.
CoRR
Haihong Zhao, Chenyi Zi, Aochuan Chen, Jia Li
2025 J jnl
Attacking and Securing Community Detection: A Game-Theoretic Framework.
CoRR
Yifan Niu, Aochuan Chen, Tingyang Xu, Jia Li
2025 — conf
Mini-Game Lifetime Value Prediction in WeChat.
KDD (2)
Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li
2025 J jnl
Mini-Game Lifetime Value Prediction in WeChat.
CoRR
Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li
2025 — conf
Parameter-Efficient Fine-Tuning via Circular Convolution.
ACL (Findings)
Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li
2025 — conf
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.
ACL (Findings)
Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2025 J jnl
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.
CoRR
Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2024 A* conf
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.
KDD
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024 J jnl
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.
CoRR
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024 A* conf
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training.
ICLR
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2024 A* conf
GLBench: A Comprehensive Benchmark for Graph with Large Language Models.
NeurIPS
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li
2024 J jnl
GLBench: A Comprehensive Benchmark for Graph with Large Language Models.
CoRR
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
2024 J jnl
Parameter-Efficient Fine-Tuning via Circular Convolution.
CoRR
Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li
2024 A* conf
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
ICML
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024 J jnl
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
CoRR
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024 — conf
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now.
ECCV (57)
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
2023 J jnl
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.
CoRR
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2023 A* conf
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
NeurIPS
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 J jnl
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
CoRR
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 J jnl
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now.
CoRR
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
2023 A* conf
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CVPR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2023 Misc conf
Visual Prompting for Adversarial Robustness.
ICASSP
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
2022 J jnl
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CoRR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2022 J jnl
Visual Prompting for Adversarial Robustness.
CoRR
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu