| 2025 | ICLR | SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. | Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin |
| 2024 | SP | GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols. | Xingyu Xie, Yifei Li, Wei Zhang, Tuowei Wang, Shizhen Xu, Jun Zhu, Yifan Song |
| 2023 | AISTATS | Global Convergence of Over-parameterized Deep Equilibrium Models. | Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin |
| 2023 | ICLR | Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. | Pan Zhou, Xingyu Xie, Shuicheng Yan |
| 2022 | CVPR | High Quality Segmentation for Ultra High-resolution Images. | Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia |
| 2022 | ICLR | Optimization inspired Multi-Branch Equilibrium Models. | Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin |
| 2022 | SETTA | Mastery: Shifted-Code-Aware Structured Merging. | Fengmin Zhu, Xingyu Xie, Dongyu Feng, Na Meng, Fei He |
| 2020 | AAAI | Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. | Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha |
| 2020 | ICML | Maximum-and-Concatenation Networks. | Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin |
| 2019 | ICML | Differentiable Linearized ADMM. | Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin |
| 2018 | IJCAI | Redundancy-resistant Generative Hashing for Image Retrieval. | Changying Du, Xingyu Xie, Changde Du, Hao Wang |
| 2018 | KDD | Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. | Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang |
| 2018 | UIC | Enhancing the Impression on Cities: Mining Relations of Attractions with Geo-Tagged Photos. | Zhiqiang Zou, Xu He, Xingyu Xie, Qunying Huang |