Peizhi Niu

According to our database, Peizhi Niu authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting.

Yuke Xing, Jiarui Wang, Peizhi Niu, Wenjie Huang, Guangtao Zhai, Yiling Xu

CoRR, June, 2025

GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models.

Evelyn Ma, Duo Zhou, Peizhi Niu, Huiting Zhou, Huan Zhang, Olgica Milenkovic, S. Rasoul Etesami

CoRR, June, 2025

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness.

Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li

CoRR, June, 2025

DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation.

Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic

CoRR, April, 2025

ModelVerification.jl: A Comprehensive Toolbox for Formally Verifying Deep Neural Networks.

Tianhao Wei, Hanjiang Hu, Luca Marzari, Kai S. Yun, Peizhi Niu, Xusheng Luo, Changliu Liu

Proceedings of the Computer Aided Verification - 37th International Conference, 2025

2024

Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability.

Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu

Trans. Mach. Learn. Res., 2024

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks.

Peizhi Niu, Chao Pan, Siheng Chen, Olgica Milenkovic

CoRR, 2024