← Authors

lei zhao

48 papers · 2020–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (12) 🀝 Dynamic Duo (24) πŸ† Keyword Champion (5) πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ’Ž Century Club (42) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (212) ❓ The Questioner (2) ⚑ Prolific Year (7)

Conferences

AAAI (15) CVPR (7) IJCAI (7) ICCV (5) NIPS (4) ECCV (2) ICML (2) MICCAI (2) ACL (1) CONLL (1) EMNLP (1) NSDI (1)

Top co-authors

Wei Xing (25) Zhizhong Wang (14) Dongming Lu (12) Zhiwen Zuo (11) Haibo Chen (11) Jiakai Sun (9) Jiafu Chen (8) Zhanjie Zhang (8) Bin Pu (8) Guangyuan Li (8)

Research topics

Reinforcement Learning (1) Optimization (1)

Keywords

image generation (11) neural style transfer (5) artistic style transfer (5) image inpainting (4) diffusion model (4) generative adversarial network (4) generative model (3) arbitrary style transfer (3) contrastive learning (3) image editing (3) view synthesis (3) style transfer (3) few-shot learning (2) representation learning (2) latent space (2) coreference resolution (2) prompt learning (2) test-time adaptation (2) conditional generation (2) medical imaging (2)

Papers

Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection AAAI 2026
Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer AAAI 2026
Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting AAAI 2026
MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation 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
EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation CVPR 2025
Concept-induced Graph Perception Model for Interpretable Diagnosis MICCAI 2025
Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images MICCAI 2025
GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation IJCAI 2025
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution AAAI 2025
Single-Mask Inpainting for Voxel-based Neural Radiance Fields ECCV 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NIPS 2024
CogVLM: Visual Expert for Pretrained Language Models NIPS 2024
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping AAAI 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank AAAI 2024
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt IJCAI 2024
3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos CVPR 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
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective ICML 2024
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer AAAI 2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning AAAI 2023
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling ICCV 2023
Rethinking Fast Fourier Convolution in Image Inpainting ICCV 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models ICCV 2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs IJCAI 2023
Sequential Recommendation with Probabilistic Logical Reasoning IJCAI 2023
TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning IJCAI 2023
SelfTune: Tuning Cluster Managers NSDI 2023
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
An Investigation into Whitening Loss for Self-supervised Learning NIPS 2022
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization ACL 2022
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer IJCAI 2022
DualAST: Dual Style-Learning Networks for Artistic Style Transfer CVPR 2021
Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly EMNLP 2021
Artistic Style Transfer with Internal-external Learning and Contrastive Learning NIPS 2021
Diverse Image Style Transfer via Invertible Cross-Space Mapping ICCV 2021
Context-Guided Adaptive Network for Efficient Human Pose Estimation AAAI 2021
Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly CONLL 2021
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation 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
An Investigation Into the Stochasticity of Batch Whitening CVPR 2020