Jiajun Bu
40 papers · 2007–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (18) π Conference Polyglot (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(79)
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
β
The Questioner
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(149)
π
Century Club
(37)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
AAAI (7)
CVPR (6)
EMNLP (6)
ECCV (4)
IJCAI (4)
ACL (3)
NIPS (3)
ICCV (2)
ICML (2)
COLING (1)
MICCAI (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(7)
large language model
(4)
contrastive learning
(3)
implicit neural representation
(3)
knowledge distillation
(3)
multimodal large language model
(3)
document understanding
(3)
node classification
(3)
domain adaptation
(2)
graph domain adaptation
(2)
semi-supervised learning
(2)
distribution shift
(2)
unsupervised domain adaptation
(2)
image segmentation
(2)
weakly supervised learning
(2)
link prediction
(2)
multimodal learning
(2)
spatial structure
(2)
ensemble learning
(1)
transfer learning
(1)
Papers
SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification
ACL 2026
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
AAAI 2026
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
AAAI 2026
Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding
EMNLP 2025
BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
EMNLP 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
AAAI 2025
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
AAAI 2025
Long-form Hallucination Detection with Self-elicitation
ACL 2025
MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts
MICCAI 2025
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
IJCAI 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
IJCAI 2025
MP-GUI: Modality Perception with MLLMs for GUI Understanding
CVPR 2025
Efficient Personalized Adaptation for Physiological Signal Foundation Model
ICML 2025
Multi-modal Medical Diagnosis via Large-small Model Collaboration
CVPR 2025
Towards a Unified Framework of Clustering-based Anomaly Detection
ICML 2025
Attention Beats Linear for Fast Implicit Neural Representation Generation
ECCV 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NIPS 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
MMAD:Multi-modal Movie Audio Description
COLING 2024
WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation
ECCV 2024
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing
EMNLP 2024
Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings
NAACL 2024
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics
EMNLP 2023
LORE: Logical Location Regression Network for Table Structure Recognition
AAAI 2023
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
ICCV 2023
GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree
EMNLP 2023
Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy
EMNLP 2023
Hilbert Distillation for Cross-Dimensionality Networks
NIPS 2022
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition
ECCV 2022
Distilling Holistic Knowledge With Graph Neural Networks
ICCV 2021
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension
ECCV 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
AAAI 2020
ANRL: Attributed Network Representation Learning via Deep Neural Networks
IJCAI 2018
Weakly Supervised Multiclass Video Segmentation
CVPR 2014
Semi-Supervised Coupled Dictionary Learning for Person Re-identification
CVPR 2014
Semi-supervised Node Splitting for Random Forest Construction
CVPR 2013
Harmonious Hashing
IJCAI 2013
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
CVPR 2013
Exploration of Term Dependence in Sentence Retrieval
ACL 2007