Lei Qi

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

Achievements

+9 more ↓

🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)

🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (36) 🔬 Deep Specialist (14) 💎 Century Club (40) 🗃️ Keyword Collector (147) ⚡ Prolific Year (7) 🔥 Unstoppable (7)

Conferences

ICCV (12) CVPR (10) AAAI (9) ECCV (5) ACL (2) IJCAI (2) MICCAI (2) NIPS (2) 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) domain adaptation (4) medical image segmentation (4) pseudo labeling (4) few-shot learning (4) knowledge distillation (4) data augmentation (4) continual learning (3) consistency regularization (3) large language model (3) semantic segmentation (3) feature learning (2) representation learning (2) person re-identification (2) entropy minimization (2) feature embedding (2) image segmentation (2) model compression (2) knowledge transfer (2)

Papers

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion AAAI 2026 ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis ACL 2026 Stratified Knowledge-Density Super-Network for Scalable Vision Transformers 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 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 GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion MICCAI 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 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 Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning ICCV 2025 One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 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 Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation CVPR 2023 Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation CVPR 2023 IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization ICCV 2023 ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization CVPR 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 DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization ICCV 2023 Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NIPS 2022 RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning ECCV 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