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Yawei Li

25 papers · 2019–2025 · 6 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (115)

Venues

CVPR (12) ICCV (4) ECCV (3) ICLR (2) ICML (2) NeurIPS (2)

Top co-authors

Luc Van Gool (14) Radu Timofte (11) Shuhang Gu (8) Kai Zhang (4) Luca Benini (4) Wen Li (3) Tao Dai (3) Yulun Zhang (3) Hang Guo (3) Shu-Tao Xia (3)

Research topics

Deep Learning (17) Computer Vision (14) Machine Learning (14) Processing (10) Artificial Intelligence (9) Application Areas (9) Architectures (8) Core AI (7) Techniques (6) Analysis (4) Learning Types (4) Core Methods (3) Optimization & Theory Β· Machine Learning (3) Optimization & Theory Β· Deep Learning (3) Natural Language Processing (2)

Keywords

image restoration (5) convolutional neural network (3) efficient computing (2) information bottleneck (2) network architecture (2) knowledge distillation (2) image super-resolution (2) vision-language model (2) model acceleration (2) semantic segmentation (2) neural network compression (1) image generation (1) self-attention mechanism (1) vision transformer (1) transformer architecture (1) model compression (1) image classification (1) unsupervised learning (1) hierarchical modeling (1) representation learning (1)

Papers

Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning ICCV 2025 IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models ICML 2025 MambaIRv2: Attentive State Space Restoration CVPR 2025 MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures CVPR 2025 Semantic and Sequential Alignment for Referring Video Object Segmentation CVPR 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization ICLR 2024 Sharing Key Semantics in Transformer Makes Efficient Image Restoration NeurIPS 2024 Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary CVPR 2024 Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation ECCV 2024 CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution CVPR 2023 Efficient and Explicit Modelling of Image Hierarchies for Image Restoration CVPR 2023 Reference-Based Image Super-Resolution with Deformable Attention Transformer ECCV 2022 Revisiting Random Channel Pruning for Neural Network Compression CVPR 2022 Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation CVPR 2021 Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information NeurIPS 2021 The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021 Towards Efficient Graph Convolutional Networks for Point Cloud Handling ICCV 2021 Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training CVPR 2021 DHP: Differentiable Meta Pruning via HyperNetworks ECCV 2020 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 3D Appearance Super-Resolution With Deep Learning CVPR 2019 Learning Filter Basis for Convolutional Neural Network Compression ICCV 2019 Self-Guided Network for Fast Image Denoising ICCV 2019