Bo Yan
24 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (10) π Academic Marathon (7) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (65)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(6)
π€
Dynamic Duo
(16)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(24)
ποΈ
Keyword Collector
(144)
π₯
Unstoppable
(8)
Conferences
AAAI (13)
CVPR (4)
IJCAI (4)
ICCV (1)
ICLR (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
multimodal learning
(3)
optical flow estimation
(3)
graph neural network
(2)
temporal consistency
(2)
generative adversarial network
(2)
federated learning
(2)
neural network
(2)
adversarial learning
(1)
semantic segmentation
(1)
3d reconstruction
(1)
motion deblurring
(1)
information bottleneck
(1)
disparity estimation
(1)
image retrieval
(1)
image restoration
(1)
domain adaptation
(1)
zero-shot learning
(1)
self-supervised learning
(1)
attention mechanism
(1)
frame interpolation
(1)
Papers
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
AAAI 2025
Multimodal Inference with Incremental Tabular Attributes
IJCAI 2025
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution
AAAI 2025
MHBench: Demystifying Motion Hallucination in VideoLLMs
AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
AAAI 2025
IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation
MICCAI 2024
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
AAAI 2024
Low-Latency Space-Time Supersampling for Real-Time Rendering
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
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
AAAI 2024
Multi-Modality Deep Network for Extreme Learned Image Compression
AAAI 2023
Learning Survival Distribution with Implicit Survival Function
IJCAI 2023
Multi-Modality Deep Network for JPEG Artifacts Reduction
IJCAI 2023
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation
AAAI 2022
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion
CVPR 2022
Perceptual Variousness Motion Deblurring With Light Global Context Refinement
ICCV 2021
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020
Disparity-Aware Domain Adaptation in Stereo Image Restoration
CVPR 2020
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting
CVPR 2020
Frame and Feature-Context Video Super-Resolution
AAAI 2019
From the Periphery to the Core: Information Brokerage in an Evolving Network
IJCAI 2018
Feature Super-Resolution: Make Machine See More Clearly
CVPR 2018