Xingyu Xie

Orcid: 0000-0002-2220-7294

According to our database1, Xingyu Xie authored at least 43 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Towards Understanding Convergence and Generalization of AdamW.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training.
J. Mach. Learn. Res., 2024

GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols.
IACR Cryptol. ePrint Arch., 2024

Optimization Hyper-parameter Laws for Large Language Models.
CoRR, 2024

LoCo: Low-Bit Communication Adaptor for Large-scale Model Training.
CoRR, 2024

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization.
CoRR, 2024

2023
On the methodology of three-way structured merge in version control systems: Top-down, bottom-up, or both.
J. Syst. Archit., December, 2023

Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering.
Inf. Sci., May, 2023

Convolutional Feature Descriptor Selection for Mammogram Classification.
IEEE J. Biomed. Health Informatics, March, 2023

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.
CoRR, 2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Global Convergence of Over-parameterized Deep Equilibrium Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Mastery: Shifted-Code-Aware Structured Merging.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2022

Optimization inspired Multi-Branch Equilibrium Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

High Quality Segmentation for Ultra High-resolution Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Design of Painting Art Style Rendering System Based on Convolutional Neural Network.
Sci. Program., 2021

Prob-CLR: A probabilistic approach to learn discriminative representation.
Knowl. Based Syst., 2021

Optimization Induced Equilibrium Networks.
CoRR, 2021

2020
Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint.
IEEE Trans. Vis. Comput. Graph., 2020

NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising.
Comput. Aided Des., 2020

Maximum-and-Concatenation Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery.
IEEE Trans. Vis. Comput. Graph., 2019

Wideband Substrate-Integrated Cavity-Backed Elliptical Slot for Microwave Synthetic Aperture Imaging.
IEEE Trans. Instrum. Meas., 2019

Robust Low-rank subspace segmentation with finite mixture noise.
Pattern Recognit., 2019

Matrix recovery with implicitly low-rank data.
Neurocomputing, 2019

Neural Ordinary Differential Equations with Envolutionary Weights.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Differentiable Linearized ADMM.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Implicit Block Diagonal Low-Rank Representation.
IEEE Trans. Image Process., 2018

High-Resolution UHF Near-Field Imaging Probe.
IEEE Trans. Instrum. Meas., 2018

t-Schatten-p Norm for Low-Rank Tensor Recovery.
IEEE J. Sel. Top. Signal Process., 2018

Enhancing the Impression on Cities: Mining Relations of Attractions with Geo-Tagged Photos.
Proceedings of the 2018 IEEE SmartWorld, 2018

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Redundancy-resistant Generative Hashing for Image Retrieval.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Substrate integrated waveguide cavity-backed slot antenna for X-band imaging applications.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Data-Driven Sparse Priors of 3D Shapes.
Comput. Graph. Forum, 2017

Surface reconstruction with data-driven exemplar priors.
Comput. Aided Des., 2017

2016
Automatic Modeling of Urban Facades from Raw LiDAR Point Data.
Comput. Graph. Forum, 2016

2015
Mining User Behavior and Similarity in Location-Based Social Networks.
Proceedings of the Seventh International Symposium on Parallel Architectures, 2015


  Loading...