Zhu, Junyi

11 publications

TMLR 2025 Jigsaw-R1: A Study of Rule-Based Visual Reinforcement Learning with Jigsaw Puzzles Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu Li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko

NeurIPS 2025 Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin

ICLR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

TMLR 2024 Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi, Junyi Zhu, Daniel Pelt, Joost Batenburg, Matthew B. Blaschko

CVPR 2024 MVHumanNet: A Large-Scale Dataset of Multi-View Daily Dressing Human Captures Zhangyang Xiong, Chenghong Li, Kenkun Liu, Hongjie Liao, Jianqiao Hu, Junyi Zhu, Shuliang Ning, Lingteng Qiu, Chongjie Wang, Shijie Wang, Shuguang Cui, Xiaoguang Han

ICCV 2023 Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long

CVPR 2023 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu, Xingchen Ma, Matthew B. Blaschko

TMLR 2023 Improving Differentially Private SGD via Randomly Sparsified Gradients Junyi Zhu, Matthew B. Blaschko

ICML 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

NeurIPSW 2022 Tackling Personalized Federated Learning with Label Concept Drift via Hierarchical Bayesian Modeling Xingchen Ma, Junyi Zhu, Matthew B. Blaschko

ICLR 2021 R-GAP: Recursive Gradient Attack on Privacy Junyi Zhu, Matthew B. Blaschko