Bo Fu
15 papers · 2014–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(35)
π§¬
Topic Evolution
π
Keyword Champion
π
Trend Setter
π
Century Club
(14)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(66)
Conferences
CVPR (3)
EMNLP (3)
ICLR (2)
IJCAI (2)
AAAI (1)
COLING (1)
ECCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
data augmentation
(2)
3d reconstruction
(1)
intent classification
(1)
transfer learning
(1)
domain adaptation
(1)
ensemble learning
(1)
sentiment analysis
(1)
text classification
(1)
intent detection
(1)
in-context learning
(1)
topic modeling
(1)
multi-label classification
(1)
point cloud
(1)
unsupervised domain adaptation
(1)
image segmentation
(1)
open information extraction
(1)
computational efficiency
(1)
feature representation
(1)
active learning
(1)
model compression
(1)
Papers
Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents
AAAI 2026
ICLER: Intent CLassification with Enhanced Reasoning
EMNLP 2025
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings
EMNLP 2025
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
ICLR 2025
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
ICLR 2025
Robust Misinformation Detection by Visiting Potential Commonsense Conflict
IJCAI 2025
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
IJCAI 2024
Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM
NAACL 2024
Knowdee at BLP-2023 Task 2: Improving Bangla Sentiment Analysis Using Ensembled Models with Pseudo-Labeling
EMNLP 2023
Transferable Query Selection for Active Domain Adaptation
CVPR 2021
Learning to Detect Open Classes for Universal Domain Adaptation
ECCV 2020
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
NIPS 2019
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
COLING 2016
Data-driven Flower Petal Modeling with Botany Priors
CVPR 2014
Quality Dynamic Human Body Modeling Using a Single Low-cost Depth Camera
CVPR 2014