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Fang Chen

27 papers · 2014–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (47) 🀝 Dynamic Duo (10) πŸ† Keyword Champion πŸ† Grand Slam πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (111) πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (12) ⚑ Prolific Year (6)

Conferences

AAAI (4) IJCAI (3) MICCAI (3) ACML (2) COLING (2) CVPR (2) ICML (2) NIPS (2) AISTATS (1) CONLL (1) EMNLP (1) ICCV (1) ICLR (1) JMLR (1) WACV (1)

Top co-authors

Yang Wang (10) Hongen Liao (6) Mohammad Ebrahimi (5) Elaheh ShafieiBavani (5) Zhidong Li (5) Raymond Wong (4) Daoqiang Zhang (4) Feng Zhou (4) Jianlong Zhou (3) Bin Li (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) metropolis-hastings sampling (1) variational inference (1) representation learning (1) extractive summarization (1) attention mechanism (1) text generation (1) medical imaging (1)

Papers

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution ICML 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability ICLR 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection CVPR 2025
Navigating Towards Fairness with Data Selection AAAI 2025
COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts AAAI 2025
Airway segmentation based on topological structure enhancement using multi-task learning MICCAI 2024
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation MICCAI 2024
Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound MICCAI 2024
Self-Attentive Pooling for Efficient Deep Learning WACV 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
Domain Generalization by Learning and Removing Domain-specific Features NIPS 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
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings COLING 2018
A Unified Neural Network Model for Geolocating Twitter Users CONLL 2018
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017
Bayesian Optimization of Partition Layouts for Mondrian Processes IJCAI 2016
Infinite Hidden Semi-Markov Modulated Interaction Point Process NIPS 2016
Appraising UMLS Coverage for Summarizing Medical Evidence COLING 2016
An Efficient Approach for Multi-Sentence Compression ACML 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