Lei Luo
32 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (8)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🌈
Renaissance Researcher
(8)
🤝
Dynamic Duo
(12)
🏆
Keyword Champion
💎
Century Club
(29)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(151)
🔥
Unstoppable
(8)
Conferences
AAAI (12)
CVPR (5)
IJCAI (5)
ICCV (3)
ECCV (2)
ICML (2)
NIPS (2)
INTERSPEECH (1)
Top co-authors
Keywords
metric learning
(6)
representation learning
(4)
optimal transport
(4)
deep metric learning
(3)
contrastive learning
(3)
wasserstein distance
(3)
noisy label
(2)
bilevel optimization
(2)
unsupervised learning
(2)
mahalanobis distance
(2)
point cloud
(2)
object segmentation
(2)
foundation model
(2)
embedding learning
(2)
sparse coding
(2)
curriculum learning
(2)
self-supervised learning
(2)
self-paced learning
(2)
adversarial robustness
(1)
feature learning
(1)
Papers
A General Anchor-Based Framework for Scalable Fair Clustering
AAAI 2026
Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation
AAAI 2026
Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation
AAAI 2026
Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
ICCV 2025
Straighten Viscous Rectified Flow via Noise Optimization
ICCV 2025
Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios
CVPR 2025
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
AAAI 2025
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis
AAAI 2025
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images
IJCAI 2025
Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
ICML 2025
Frequency-Spatial Entanglement Learning for Camouflaged Object Detection
ECCV 2024
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
CVPR 2024
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
ECCV 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
IJCAI 2024
AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
CVPR 2023
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples
AAAI 2023
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering
AAAI 2023
Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning
AAAI 2023
Curriculum Temperature for Knowledge Distillation
AAAI 2023
An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
AAAI 2022
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset
INTERSPEECH 2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
CVPR 2022
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
ICCV 2021
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method
IJCAI 2021
Unsupervised Hyperbolic Metric Learning
CVPR 2021
Adversarial Nonnegative Matrix Factorization
ICML 2020
Sinkhorn Regression
IJCAI 2020
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
AAAI 2019
Orthogonality-Promoting Dictionary Learning via Bayesian Inference
AAAI 2019
Curvilinear Distance Metric Learning
NIPS 2019
Multi-Level Metric Learning via Smoothed Wasserstein Distance
IJCAI 2018
Bilevel Distance Metric Learning for Robust Image Recognition
NIPS 2018