Yue Lu
25 papers · 2010–2026 · 10 conferences · across top CS/AI conferences
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(24)
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Conferences
AAAI (6)
NIPS (5)
ICML (4)
CVPR (2)
ECCV (2)
WACV (2)
AISTATS (1)
COLING (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
generalization error
(4)
orthogonal projection
(3)
high-dimensional analysis
(3)
continual learning
(3)
few-shot learning
(2)
catastrophic forgetting
(2)
image generation
(2)
contrastive learning
(2)
diffusion model
(2)
vision transformer
(2)
visual prompt tuning
(2)
asymptotic analysis
(2)
character recognition
(2)
action recognition
(1)
multi-task learning
(1)
representation learning
(1)
statistical learning theory
(1)
semi-supervised learning
(1)
logistic regression
(1)
sequence labeling
(1)
Papers
Attention Retention for Continual Learning with Vision Transformers
AAAI 2026
ShapeMorph: 3D Shape Completion via Blockwise Discrete Diffusion
WACV 2025
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition
ICCV 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning
AAAI 2025
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
AISTATS 2025
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
AAAI 2024
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes
AAAI 2024
Asymptotics of feature learning in two-layer networks after one gradient-step
ICML 2024
Visual Prompt Tuning in Null Space for Continual Learning
NIPS 2024
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network
AAAI 2024
Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding
WACV 2023
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
CVPR 2023
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
NIPS 2022
UC-OWOD: Unknown-Classified Open World Object Detection
ECCV 2022
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition
ECCV 2022
DG-Font: Deformable Generative Networks for Unsupervised Font Generation
CVPR 2021
On the Inherent Regularization Effects of Noise Injection During Training
ICML 2021
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization
NIPS 2020
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
ICML 2020
Generalized Approximate Survey Propagation for High-Dimensional Estimation
ICML 2019
A Solvable High-Dimensional Model of GAN
NIPS 2019
A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition
IJCAI 2017
The Scaling Limit of High-Dimensional Online Independent Component Analysis
NIPS 2017
Exploiting Structured Ontology to Organize Scattered Online Opinions
COLING 2010