Fang Chen
27 papers · 2014–2026 · 15 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🗺️ Taxonomy Completionist (46) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Grand Slam
🏆
Keyword Champion
🧭
Keyword Pioneer
🤝
Dynamic Duo
(10)
🚀
Conference Pioneer
🔥
Unstoppable · Silver
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(123)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(10)
Core Methods
(9)
Deep Learning
(7)
Application Areas
(6)
Optimization & Theory
(6)
Natural Language Processing
(5)
Core AI
(5)
Generation
(5)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Architectures
(4)
Learning Paradigms
(4)
Analysis
(3)
Learning Types · Deep Learning
(3)
Keywords
label bia
(3)
text summarization
(3)
feature extraction
(3)
anomaly detection
(2)
unsupervised learning
(2)
bayesian nonparametrics
(2)
posterior inference
(2)
domain generalization
(2)
link prediction
(1)
domain adaptation
(1)
zero-shot learning
(1)
transformer architecture
(1)
transfer learning
(1)
information bottleneck
(1)
variational inference
(1)
representation learning
(1)
attention mechanism
(1)
medical imaging
(1)
extractive summarization
(1)
text mining
(1)
Papers
RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
AAAI 2026
COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets
ICCV 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
CVPR 2025
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts
AAAI 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
ICLR 2025
Navigating Towards Fairness with Data Selection
AAAI 2025
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
ICML 2025
Airway segmentation based on topological structure enhancement using multi-task learning
MICCAI 2024
Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
MICCAI 2024
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
MICCAI 2024
Fair Representation Learning with Unreliable Labels
AISTATS 2023
Self-Attentive Pooling for Efficient Deep Learning
WACV 2023
Domain Generalization by Learning and Removing Domain-specific Features
NeurIPS 2022
Bias-tolerant Fair Classification
ACML 2021
Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables
JMLR 2020
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data
AAAI 2020
Discriminative Sample Generation for Deep Imbalanced Learning
IJCAI 2019
A Graph-theoretic Summary Evaluation for ROUGE
EMNLP 2018
A Unified Neural Network Model for Geolocating Twitter Users
CoNLL 2018
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings
COLING 2018
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
IJCAI 2017
An Efficient Approach for Multi-Sentence Compression
ACML 2016
Appraising UMLS Coverage for Summarizing Medical Evidence
COLING 2016
Bayesian Optimization of Partition Layouts for Mondrian Processes
IJCAI 2016
Infinite Hidden Semi-Markov Modulated Interaction Point Process
NeurIPS 2016
Metadata Dependent Mondrian Processes
ICML 2015
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning
CVPR 2014