Industrial Reports

Introducing GPT-5
OpenAI
[Product Page] [Model Card]
Introducing gpt-oss
OpenAI
[Product Page] [Model Card]

Publications

( “*” indicates equal contribution.)

Conferences

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
NeurIPS 2025
Jiancheng Liu*, Chongyu Fan*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
[Paper] [Code]
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
WACV 2025
Jiancheng Liu*, Yuguang Yao*, Yifan Gong*, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
[Paper] [Code]
Towards Universal Mesh Movement Networks
NeurIPS 2024 (Spotlight)
Mingrui Zhang, Chunyang Wang, Stephan C. Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
[Paper] [Code] [Project Page]
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NeurIPS 2024
Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
[Paper] [Code]
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
NeurIPS 2024
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
[Paper] [Code]
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
NeurIPS 2024 Datasets and Benchmarks
Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Rao Kompella, Xiaoming Liu, Sijia Liu
[Paper] [Code] [Project Page]
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
[Paper] [Code]
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
ECCV 2024
Jiancheng Liu*, Chongyu Fan*, Alfred Hero, Sijia Liu
[Paper] [Code]
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images... For Now
ECCV 2024
Yimeng Zhang*, Jinghan Jia*, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
[Paper] [Code] [Project Page]
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
ICLR 2024 (Spotlight)
Jiancheng Liu*, Chongyu Fan*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
[Paper] [Code] [Video] [Project Page] [Synced Article (Chinese)]
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
[Paper] [Code] [Project Page] [Synced Article (Chinese)]
Model Sparsity Can Simplify Machine Unlearning
NeurIPS 2023 (Spotlight)
Jiancheng Liu*, Jinghan Jia*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
[Paper] [Code] [Project Page] [Cisco Tech Blog]
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NeurIPS 2023
Yihua Zhang*, Yimeng Zhang*, Aochuan Chen*, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
[Paper] [Code] [Project Page]
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
[Paper] [Code] [Video] [MIT CSAIL News]
Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization
CVPR 2017 Workshop
Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao
[Paper]

Journals

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks
FnT 2024
Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu
[Paper] [Detail]
Deep Portrait Image Completion and Extrapolation
TIP 2020
Xian Wu, Rui-Long Li, Fang-Lue Zhang, Jian-Cheng Liu, Jue Wang, Ariel Shamir, Shi-Min Hu
[Paper] [Detail] [Project Page]

Preprints

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Sijia Liu, Yan Yan
[Paper] [Code]
Complex Locomotion Skill Learning via Differentiable Physics
Jiancheng Liu*, Yu Fang*, Mingrui Zhang*, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu
[Paper] [Code]