Wei Yu
23 papers · 2015–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(55)
π
Grand Slam
π§¬
Topic Evolution
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(125)
β
The Questioner
π
Trend Setter
π
Century Club
(21)
β‘
Prolific Year
(6)
Conferences
AAAI (8)
CVPR (5)
NIPS (3)
ICLR (2)
IJCAI (2)
COLING (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
image restoration
(4)
transfer learning
(3)
model compression
(2)
neural network optimization
(2)
human pose estimation
(2)
contrastive learning
(2)
neural network
(2)
diffusion model
(2)
image super-resolution
(2)
image fusion
(2)
reinforcement learning
(1)
pose estimation
(1)
dna storage
(1)
embedding learning
(1)
neural network pruning
(1)
temporal modeling
(1)
multi-agent reinforcement learning
(1)
video prediction
(1)
self-supervised learning
(1)
video generation
(1)
Papers
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
AAAI 2026
DialoGen: Towards Dialog Gesture Generation via Identity-Decoupled Style Guidance in Interactive Diffusion Model
AAAI 2026
What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph
AAAI 2025
Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction
CVPR 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
CVPR 2025
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
AAAI 2025
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
AAAI 2025
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
AAAI 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
AAAI 2025
EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
ICLR 2025
Joint Input and Output Coordination for Class-Incremental Learning
IJCAI 2024
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NIPS 2024
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
AAAI 2024
Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
COLING 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
CVPR 2024
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
ICML 2024
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
NIPS 2023
On the choice of Perception Loss Function for Learned Video Compression
NIPS 2023
Modular Action Concept Grounding in Semantic Video Prediction
CVPR 2022
Efficient and Information-Preserving Future Frame Prediction and Beyond
ICLR 2020
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
IJCAI 2019
Neural EPI-Volume Networks for Shape From Light Field
ICCV 2017
On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration
CVPR 2015