Bowen Song
12 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Renaissance Researcher (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9)
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(30)
π
Century Club
(12)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(60)
Conferences
EMNLP (2)
ICLR (2)
NIPS (2)
AAAI (1)
ACL (1)
COLING (1)
ECCV (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
computed tomography
(3)
inverse problem
(2)
image prior
(2)
image reconstruction
(2)
diffusion model
(2)
retrieval-augmented generation
(2)
risk management
(1)
semi-supervised learning
(1)
contrastive learning
(1)
direct preference optimization
(1)
medical imaging
(1)
attention mechanism
(1)
3d vision
(1)
test-time adaptation
(1)
anomaly detection
(1)
link prediction
(1)
fraud detection
(1)
image super-resolution
(1)
feature interaction
(1)
image restoration
(1)
Papers
Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization
EMNLP 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems
ECCV 2024
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
NIPS 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
NIPS 2024
Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion
COLING 2024
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
ICLR 2024
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
ICLR 2024
PINER: Prior-Informed Implicit Neural Representation Learning for Test-Time Adaptation in Sparse-View CT Reconstruction
WACV 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
IJCAI 2023
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection
AAAI 2021