Bo Yan
24 papers · 2018–2025 · 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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πΊοΈ Taxonomy Completionist (61) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(16)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(148)
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Research topics
Machine Learning
(17)
Computer Vision
(16)
Deep Learning
(12)
Artificial Intelligence
(11)
Core AI
(10)
Processing
(10)
Core Methods
(7)
Learning Types Β· Deep Learning
(7)
Learning Types Β· Machine Learning
(6)
Analysis
(5)
Application Areas
(5)
Architectures
(5)
Generation
(4)
Domain-Specific
(3)
Learning Paradigms
(3)
Keywords
multimodal learning
(3)
optical flow estimation
(3)
federated learning
(2)
temporal consistency
(2)
representation learning
(2)
generative adversarial network
(2)
neural network
(2)
graph neural network
(2)
semantic segmentation
(1)
image restoration
(1)
zero-shot learning
(1)
motion deblurring
(1)
information bottleneck
(1)
disparity estimation
(1)
domain adaptation
(1)
transfer learning
(1)
contrastive learning
(1)
frame interpolation
(1)
self-supervised learning
(1)
graph analysis
(1)
Papers
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution
AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
AAAI 2025
MHBench: Demystifying Motion Hallucination in VideoLLMs
AAAI 2025
Multimodal Inference with Incremental Tabular Attributes
IJCAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
AAAI 2025
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
AAAI 2024
IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation
MICCAI 2024
Low-Latency Space-Time Supersampling for Real-Time Rendering
AAAI 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
AAAI 2024
MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization
AAAI 2024
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
AAAI 2024
Learning Survival Distribution with Implicit Survival Function
IJCAI 2023
Multi-Modality Deep Network for Extreme Learned Image Compression
AAAI 2023
Multi-Modality Deep Network for JPEG Artifacts Reduction
IJCAI 2023
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion
CVPR 2022
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation
AAAI 2022
Perceptual Variousness Motion Deblurring With Light Global Context Refinement
ICCV 2021
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting
CVPR 2020
Disparity-Aware Domain Adaptation in Stereo Image Restoration
CVPR 2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020
Frame and Feature-Context Video Super-Resolution
AAAI 2019
Feature Super-Resolution: Make Machine See More Clearly
CVPR 2018
From the Periphery to the Core: Information Brokerage in an Evolving Network
IJCAI 2018