Bin Cao
11 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π Century Club Β· Bronze π₯ Unstoppable Β· Bronze
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Research topics
Keywords
class imbalance
(2)
named entity recognition
(2)
contrastive learning
(2)
motion generation
(2)
few-shot learning
(2)
motion tokenizer
(2)
transfer learning
(1)
real-time control
(1)
zero-shot learning
(1)
sequence model
(1)
human motion
(1)
human motion synthesis
(1)
information extraction
(1)
knowledge graph
(1)
deep neural network
(1)
semantic embedding
(1)
pre-trained model
(1)
vision-language model
(1)
grammatical error correction
(1)
classification benchmarks
(1)
Papers
Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
ACL 2026
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
AAAI 2026
OpenT2M: No-frill Motion Generation with Open-source, Large-scale, High-quality Data
CVPR 2026
MotionCtrl: A Real-time Controllable Vision-Language-Motion Model
ICCV 2025
Scaling Large Motion Models with Million-Level Human Motions
ICML 2025
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
ICLR 2025
HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering
COLING 2024
Improving Grammatical Error Correction by Correction Acceptability Discrimination
COLING 2024
KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning
COLING 2024
Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition
ACL 2023
Improving the Accuracy of Learning Example Weights for Imbalance Classification
ICLR 2022