Xie, Zeke

20 publications

NeurIPS 2025 Channel Matters: Estimating Channel Influence for Multivariate Time Series Muyao Wang, Zeke Xie, Bo Chen, Hongwei Liu, James Kwok

ICCV 2025 Golden Noise for Diffusion Models: A Learning Framework Zikai Zhou, Shitong Shao, Lichen Bai, Shufei Zhang, Zhiqiang Xu, Bo Han, Zeke Xie

ICLR 2025 IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Shitong Shao, Zikai Zhou, Bai LiChen, Haoyi Xiong, Zeke Xie

ICML 2025 Investigating the Overlooked Hessian Structure: From CNNs to LLMs Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie

CVPR 2025 Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion Songsong Yu, Yuxin Chen, Zhongang Qi, Zeke Xie, Yifan Wang, Lijun Wang, Ying Shan, Huchuan Lu

ICML 2025 Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu

NeurIPS 2025 UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie

ICLRW 2025 Weak-to-Strong Diffusion with Reflection Lichen Bai, Masashi Sugiyama, Zeke Xie

ICLR 2025 Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Bai LiChen, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie

ICLR 2024 Neural Field Classifiers via Target Encoding and Classification Loss Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun

ICLR 2024 Variance-Enlarged Poisson Learning for Graph-Based Semi-Supervised Learning with Extremely Sparse Labeled Data Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji

ICLR 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li

NeurIPS 2023 On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective Zeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama

NeurIPS 2023 On the Overlooked Structure of Stochastic Gradients Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li

ICCV 2023 S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun

ICML 2022 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama

ICML 2022 Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin

ICLR 2021 A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Zeke Xie, Issei Sato, Masashi Sugiyama

ICML 2021 Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama

ACML 2017 A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors Zeke Xie, Issei Sato