| 2025 | CVPR | 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 |
| 2025 | ICASSP | Diffusion Models are Zero-Shot Generative Text-Vision Retrievers. | Bao Li, Zeke Xie, Xiaomei Zhang, Xiangyu Zhu, Zhen Lei |
| 2025 | ICASSP | Learning from Ambiguous Data with Hard Labels. | Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li |
| 2025 | ICCV | Golden Noise for Diffusion Models: A Learning Framework. | Zikai Zhou, Shitong Shao, Lichen Bai, Shufei Zhang, Zhiqiang Xu, Bo Han, Zeke Xie |
| 2025 | ICLR | Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection. | Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie |
| 2025 | ICLR | IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. | Shitong Shao, Zikai Zhou, Bai Lichen, Haoyi Xiong, Zeke Xie |
| 2025 | ICML | Investigating the Overlooked Hessian Structure: From CNNs to LLMs. | Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie |
| 2025 | ICML | Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. | Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu |
| 2025 | PAKDD | Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. | Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Dataset Pruning: Reducing Training Data by Examining Generalization Influence. | Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li |
| 2022 | ICML | Sparse Double Descent: Where Network Pruning Aggravates Overfitting. | Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin |
| 2022 | ICML | Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. | Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama |
| 2021 | ICLR | A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima. | Zeke Xie, Issei Sato, Masashi Sugiyama |
| 2021 | ICML | Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization. | Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama |
| 2017 | ACML | A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. | Zeke Xie, Issei Sato |