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Xingyu Xie
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2020 – today
- 2024
- [j21]Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. J. Mach. Learn. Res. 25: 83:1-83:74 (2024) - [j20]Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan:
Towards Understanding Convergence and Generalization of AdamW. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6486-6493 (2024) - [j19]Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9508-9520 (2024) - [c17]Xingyu Xie, Yifei Li, Wei Zhang, Tuowei Wang, Shizhen Xu, Jun Zhu, Yifan Song:
GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols. SP 2024: 484-502 - [i13]Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily J. Getzen, Cong Fang, Qi Long, Weijie J. Su:
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. CoRR abs/2405.16455 (2024) - [i12]Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou:
LoCo: Low-Bit Communication Adaptor for Large-scale Model Training. CoRR abs/2407.04480 (2024) - [i11]Xingyu Xie, Kuangyu Ding, Shuicheng Yan, Kim-Chuan Toh, Tianwen Wei:
Optimization Hyper-parameter Laws for Large Language Models. CoRR abs/2409.04777 (2024) - [i10]Xingyu Xie, Yifei Li, Wei Zhang, Tuowei Wang, Shizhen Xu, Jun Zhu, Yifan Song:
GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols. IACR Cryptol. ePrint Arch. 2024: 1078 (2024) - 2023
- [j18]Xingyu Xie, Lei Zhang, Yan Wang, Zizhou Wang, Yu Hua:
Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering. Inf. Sci. 625: 141-156 (2023) - [j17]Fengmin Zhu, Xingyu Xie, Dongyu Feng, Na Meng, Fei He:
On the methodology of three-way structured merge in version control systems: Top-down, bottom-up, or both. J. Syst. Archit. 145: 103011 (2023) - [j16]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3604-3616 (2023) - [j15]Dong Li, Lei Zhang, Jianwei Zhang, Xingyu Xie:
Convolutional Feature Descriptor Selection for Mammogram Classification. IEEE J. Biomed. Health Informatics 27(3): 1467-1476 (2023) - [c16]Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin:
Global Convergence of Over-parameterized Deep Equilibrium Models. AISTATS 2023: 767-787 - [c15]Pan Zhou, Xingyu Xie, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. ICLR 2023 - [c14]Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia 2023: 9414-9416 - [c13]Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin:
Task-Robust Pre-Training for Worst-Case Downstream Adaptation. NeurIPS 2023 - [i9]Jianghui Wang, Cheng Yang, Xingyu Xie, Cong Fang, Zhouchen Lin:
Task-Robust Pre-Training for Worst-Case Downstream Adaptation. CoRR abs/2306.12070 (2023) - 2022
- [c12]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CVPR 2022: 1300-1309 - [c11]Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin:
Optimization inspired Multi-Branch Equilibrium Models. ICLR 2022 - [c10]Fengmin Zhu, Xingyu Xie, Dongyu Feng, Na Meng, Fei He:
Mastery: Shifted-Code-Aware Structured Merging. SETTA 2022: 70-87 - [i8]Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin:
Global Convergence of Over-parameterized Deep Equilibrium Models. CoRR abs/2205.13814 (2022) - [i7]Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. CoRR abs/2208.06677 (2022) - 2021
- [j14]Xingyu Xie, Minjuan Zhu, Yan Wang, Lei Zhang:
Prob-CLR: A probabilistic approach to learn discriminative representation. Knowl. Based Syst. 229: 107329 (2021) - [j13]Xingyu Xie, Bin Lv:
Design of Painting Art Style Rendering System Based on Convolutional Neural Network. Sci. Program. 2021: 4708758:1-4708758:11 (2021) - [i6]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks. CoRR abs/2105.13228 (2021) - [i5]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CoRR abs/2111.14482 (2021) - 2020
- [j12]Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - [j11]Honghua Chen, Mingqiang Wei, Yangxing Sun, Xingyu Xie, Jun Wang:
Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint. IEEE Trans. Vis. Comput. Graph. 26(11): 3255-3270 (2020) - [c9]Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395 - [c8]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. ICML 2020: 10483-10494 - [i4]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. CoRR abs/2007.04630 (2020)
2010 – 2019
- 2019
- [j10]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix recovery with implicitly low-rank data. Neurocomputing 334: 219-226 (2019) - [j9]Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang:
Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93: 55-67 (2019) - [j8]Xingyu Xie, Mohamed A. Abou-Khousa:
Wideband Substrate-Integrated Cavity-Backed Elliptical Slot for Microwave Synthetic Aperture Imaging. IEEE Trans. Instrum. Meas. 68(7): 2665-2667 (2019) - [j7]Mingqiang Wei, Jin Huang, Xingyu Xie, Ligang Liu, Jun Wang, Jing Qin:
Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. IEEE Trans. Vis. Comput. Graph. 25(10): 2910-2926 (2019) - [c7]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin:
Differentiable Linearized ADMM. ICML 2019: 6902-6911 - [c6]Lingshen He, Xingyu Xie, Zhouchen Lin:
Neural Ordinary Differential Equations with Envolutionary Weights. PRCV (1) 2019: 598-610 - [i3]Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. CoRR abs/1905.06179 (2019) - 2018
- [j6]Hao Kong, Xingyu Xie, Zhouchen Lin:
t-Schatten-p Norm for Low-Rank Tensor Recovery. IEEE J. Sel. Top. Signal Process. 12(6): 1405-1419 (2018) - [j5]Mohamed A. Abou-Khousa, K. T. Muhammed Shafi, Xingyu Xie:
High-Resolution UHF Near-Field Imaging Probe. IEEE Trans. Instrum. Meas. 67(10): 2353-2362 (2018) - [j4]Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang:
Implicit Block Diagonal Low-Rank Representation. IEEE Trans. Image Process. 27(1): 477-489 (2018) - [c5]Mohamed A. Abou-Khousa, K. T. Muhammed Shafi, Xingyu Xie:
Substrate integrated waveguide cavity-backed slot antenna for X-band imaging applications. I2MTC 2018: 1-5 - [c4]Changying Du, Xingyu Xie, Changde Du, Hao Wang:
Redundancy-resistant Generative Hashing for Image Retrieval. IJCAI 2018: 5017-5023 - [c3]Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang:
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. KDD 2018: 1348-1357 - [c2]Zhiqiang Zou, Xu He, Xingyu Xie, Qunying Huang:
Enhancing the Impression on Cities: Mining Relations of Attractions with Geo-Tagged Photos. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1718-1724 - [i2]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix Recovery with Implicitly Low-Rank Data. CoRR abs/1811.03945 (2018) - 2017
- [j3]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Surface reconstruction with data-driven exemplar priors. Comput. Aided Des. 88: 31-41 (2017) - [j2]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Data-Driven Sparse Priors of 3D Shapes. Comput. Graph. Forum 36(7): 63-72 (2017) - [i1]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Surface Reconstruction with Data-driven Exemplar Priors. CoRR abs/1701.03230 (2017) - 2016
- [j1]Jun Wang, Yabin Xu, Oussama Remil, Xingyu Xie, Nan Ye, Cheng Yi, Mingqiang Wei:
Automatic Modeling of Urban Facades from Raw LiDAR Point Data. Comput. Graph. Forum 35(7): 269-278 (2016) - 2015
- [c1]Zhiqiang Zou, Xingyu Xie, Chao Sha:
Mining User Behavior and Similarity in Location-Based Social Networks. PAAP 2015: 167-171
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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