Xie, Xingyu

14 publications

NeurIPS 2025 GRIFFIN: Effective Token Alignment for Faster Speculative Decoding Shijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-chuan Toh, Pan Zhou
ICLR 2025 SEPARATE: A Simple Low-Rank Projection for Gradient Compression in Modern Large-Scale Model Training Process Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin
JMLR 2024 Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan
AISTATS 2023 Global Convergence of Over-Parameterized Deep Equilibrium Models Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
NeurIPS 2023 Task-Robust Pre-Training for Worst-Case Downstream Adaptation Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin
ICLR 2023 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms Pan Zhou, Xingyu Xie, Shuicheng Yan
NeurIPSW 2022 Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan
CVPR 2022 High Quality Segmentation for Ultra High-Resolution Images Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia
ICLR 2022 Optimization Inspired Multi-Branch Equilibrium Models Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin
NeurIPSW 2022 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms Pan Zhou, Xingyu Xie, Shuicheng Yan
ICML 2020 Maximum-and-Concatenation Networks Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
AAAI 2020 Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha
ICML 2019 Differentiable Linearized ADMM Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin
IJCAI 2018 Redundancy-Resistant Generative Hashing for Image Retrieval Changying Du, Xingyu Xie, Changde Du, Hao Wang