lei zhao
49 papers · 2020–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (71) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(15)
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Dynamic Duo
(26)
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Topic Evolution
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Keyword Champion
(5)
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Prolific Year Β· Prolific
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Trend Setter
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Keyword Collector
(222)
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The Questioner
(2)
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Unstoppable Β· Bronze
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Renaissance Researcher
(7)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Computer Vision
(28)
Deep Learning
(28)
Machine Learning
(23)
Generation
(19)
Models
(15)
Processing
(13)
Artificial Intelligence
(12)
Learning Types Β· Deep Learning
(12)
Learning Types Β· Machine Learning
(11)
Core AI
(10)
Core Methods
(7)
Domain-Specific
(7)
Techniques
(6)
Analysis
(5)
Application Areas
(5)
Keywords
image generation
(11)
diffusion model
(5)
artistic style transfer
(5)
neural style transfer
(5)
generative adversarial network
(4)
image inpainting
(4)
generative model
(3)
object detection
(3)
style transfer
(3)
view synthesis
(3)
contrastive learning
(3)
image editing
(3)
arbitrary style transfer
(3)
latent space
(2)
few-shot learning
(2)
representation learning
(2)
sequential recommendation
(2)
prompt learning
(2)
magnetic resonance imaging
(2)
test-time adaptation
(2)
Papers
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
AAAI 2026
Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer
AAAI 2026
MAPo: Motion-Aware Partitioning of Deformable 3D Gaussian Splatting for High-Fidelity Dynamic Scene Reconstruction
CVPR 2026
MPA: Multimodal Prototype Augmentation for Few-Shot Learning
AAAI 2026
Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting
AAAI 2026
SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras
CVPR 2026
Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection
AAAI 2026
Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
AAAI 2026
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
AAAI 2025
Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images
MICCAI 2025
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
AAAI 2025
Concept-induced Graph Perception Model for Interpretable Diagnosis
MICCAI 2025
EA-KD: Entropy-based Adaptive Knowledge Distillation
ICCV 2025
GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation
IJCAI 2025
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
CVPR 2025
3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos
CVPR 2024
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
AAAI 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
AAAI 2024
CogVLM: Visual Expert for Pretrained Language Models
NeurIPS 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
NeurIPS 2024
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
ICML 2024
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
AAAI 2024
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
CVPR 2024
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
ECCV 2024
Single-Mask Inpainting for Voxel-based Neural Radiance Fields
ECCV 2024
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt
IJCAI 2024
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
AAAI 2023
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer
AAAI 2023
Rethinking Fast Fourier Convolution in Image Inpainting
ICCV 2023
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling
ICCV 2023
SelfTune: Tuning Cluster Managers
NSDI 2023
Sequential Recommendation with Probabilistic Logical Reasoning
IJCAI 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
ICCV 2023
TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning
IJCAI 2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
IJCAI 2023
An Investigation into Whitening Loss for Self-supervised Learning
NeurIPS 2022
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer
IJCAI 2022
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization
ACL 2022
Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer
IJCAI 2022
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
AAAI 2022
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
NeurIPS 2021
Context-Guided Adaptive Network for Efficient Human Pose Estimation
AAAI 2021
Diverse Image Style Transfer via Invertible Cross-Space Mapping
ICCV 2021
DualAST: Dual Style-Learning Networks for Artistic Style Transfer
CVPR 2021
Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly
CoNLL 2021
An Investigation Into the Stochasticity of Batch Whitening
CVPR 2020
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
CVPR 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
ICML 2020
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
CVPR 2020