Jiancheng Liu

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 24

Top Topics

Diffusion Models

Top Venues

Publications

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. ICLR (2024)
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)
Chongyu Fan, Jiancheng Liu, Alfred O. Hero III, Sijia Liu
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning. CoRR (2024)
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models. CoRR (2024)
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models. CoRR (2024)
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning. CoRR (2024)
Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
Towards Universal Mesh Movement Networks. CoRR (2024)
Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
Label Smoothing Improves Machine Unlearning. CoRR (2024)
Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu
Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. Found. Trends Priv. Secur. 6 (2) (2024)
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 (2023)
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Model Sparsification Can Simplify Machine Unlearning. CoRR (2023)
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 (2023)
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 (2023)
Sirui Duan, Jiancheng Liu, Yucai Pang, Xiang Yu, Chao Wu
A joint denoising and deep learning detector for OFDM-IM. IET Commun. 17 (13) (2023)
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)
Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR (2023)
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. CoRR (2023)
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Model Sparsity Can Simplify Machine Unlearning. NeurIPS (2023)
Yu Fang, Jiancheng Liu, Mingrui Zhang, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu
Complex Locomotion Skill Learning via Differentiable Physics. CoRR (2022)
Dapeng Zhang, Liu Yajun, Jiancheng Liu
A Content-Based Deep Hybrid Approach with Segmented Max-Pooling. Intelligent Information Processing (2020)
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. ICRA (2019)
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. CoRR (2018)
Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao
Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization. CVPR Workshops (2017)
Hongzhi Zhao, Jiancheng Liu, Jun Wang, Wenbo Guo, Youxi Tang
Impacts of Attenuators on Analog Self-Interference Cancellation in Full Duplex Radios. GLOBECOM Workshops (2016)
Jiancheng Liu, Xinhua Jiang, Baohua Lan
Learning TSK Fuzzy Model by GA-BP Method. ICYCS (2008)
Xiren Yan, Kazuo Yamazaki, Jiancheng Liu
Recognition of machining features and feature topologies from NC programs. Comput. Aided Des. 32 (10) (2000)