Yawei Li
25 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(6)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
⚡
Prolific Year
(5)
💎
Century Club
(25)
🗃️
Keyword Collector
(98)
🔥
Unstoppable
(7)
Conferences
CVPR (12)
ICCV (4)
ECCV (3)
ICLR (2)
ICML (2)
NIPS (2)
Top co-authors
Keywords
image restoration
(5)
convolutional neural network
(3)
model acceleration
(2)
efficient computing
(2)
image super-resolution
(2)
network architecture
(2)
semantic segmentation
(2)
image classification
(1)
neural network compression
(1)
model compression
(1)
self-attention mechanism
(1)
domain generalization
(1)
domain adaptation
(1)
image generation
(1)
transformer architecture
(1)
knowledge distillation
(1)
attention mechanism
(1)
vision transformer
(1)
batch normalization
(1)
information bottleneck
(1)
Papers
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
ICML 2025
Semantic and Sequential Alignment for Referring Video Object Segmentation
CVPR 2025
MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
CVPR 2025
MambaIRv2: Attentive State Space Restoration
CVPR 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
ICCV 2025
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
ICLR 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
ICLR 2024
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
CVPR 2024
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
NIPS 2024
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
ECCV 2024
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
CVPR 2023
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
CVPR 2023
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 2022
Reference-Based Image Super-Resolution with Deformable Attention Transformer
ECCV 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
NIPS 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
CVPR 2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
CVPR 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
ICCV 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