← Authors

Lei Qi

44 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (69) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (36) πŸ”¬ Deep Specialist (14) πŸ’Ž Century Club (40) πŸ—ƒοΈ Keyword Collector (147) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (7)

Conferences

ICCV (12) CVPR (10) AAAI (9) ECCV (5) IJCAI (2) MICCAI (2) NIPS (2) ACL (1) ICLR (1)

Top co-authors

Yinghuan Shi (37) Yang Gao (16) Jian Zhang (14) Lei Wang (8) Luping Zhou (7) Yue Duan (7) Zhen Zhao (6) Jintao Guo (5) Lihe Yang (4) Zekun Li (4)

Keywords

semi-supervised learning (13) domain generalization (5) medical image segmentation (4) knowledge distillation (4) domain adaptation (4) pseudo labeling (4) data augmentation (4) few-shot learning (4) continual learning (3) consistency regularization (3) semantic segmentation (3) representation learning (2) person re-identification (2) feature learning (2) entropy minimization (2) feature embedding (2) image segmentation (2) model compression (2) knowledge transfer (2) test-time adaptation (2)

Papers

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026
StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion AAAI 2026
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026
ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications AAAI 2026
One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 2025
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild ICCV 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025
Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations MICCAI 2025
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD ICLR 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning ICCV 2025
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion MICCAI 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting CVPR 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation CVPR 2025
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation ECCV 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning AAAI 2024
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems ACL 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization ECCV 2024
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization ICCV 2023
Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation CVPR 2023
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation CVPR 2023
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization CVPR 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization ICCV 2023
Towards Semi-supervised Learning with Non-random Missing Labels ICCV 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning ICCV 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization ICCV 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning ICCV 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation ICCV 2023
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning ECCV 2022
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NIPS 2022
MVDG: A Unified Multi-View Framework for Domain Generalization ECCV 2022
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration ECCV 2022
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation CVPR 2022
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization CVPR 2022
Learngene: From Open-World to Your Learning Task AAAI 2022
Mining Latent Classes for Few-Shot Segmentation ICCV 2021
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020
Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019