Xingyu Xie
11 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Silver
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Deep Learning
(7)
Optimization & Theory Β· Machine Learning
(7)
Optimization & Theory Β· Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types
(2)
Optimization
(2)
Techniques
(2)
Data Science & Analytics
(1)
Analysis
(1)
Applications
(1)
Keywords
model architecture
(2)
adaptive gradient algorithm
(2)
neural network
(2)
weight decay
(2)
convergence analysis
(2)
nesterov acceleration
(2)
proximal point method
(2)
image retrieval
(1)
domain adaptation
(1)
semantic segmentation
(1)
distributed learning
(1)
global convergence
(1)
adversarial training
(1)
deep learning
(1)
variational inference
(1)
gradient descent
(1)
constrained optimization
(1)
graph learning
(1)
implicit differentiation
(1)
minimax optimization
(1)
Papers
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
ICLR 2025
Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training
JMLR 2024
Global Convergence of Over-parameterized Deep Equilibrium Models
AISTATS 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
NeurIPS 2023
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
ICLR 2023
High Quality Segmentation for Ultra High-Resolution Images
CVPR 2022
Optimization inspired Multi-Branch Equilibrium Models
ICLR 2022
Maximum-and-Concatenation Networks
ICML 2020
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
AAAI 2020
Differentiable Linearized ADMM
ICML 2019
Redundancy-resistant Generative Hashing for Image Retrieval
IJCAI 2018