Chaofan Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Gaussian Filtering

Active Exploration

Digital Mammography

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Wen Sun, Chaofan Chen, Jin-Kao Hao, Wenlong Li, Qinghua Wu, Yuning Chen
A knowledge-based iterated local search for the weighted total domination problem. Inf. Sci. 665 (2024)
Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR (2024)
Han Jiang, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification. ICME (2023)
Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. NeurIPS (2023)
Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
A user interface to communicate interpretable AI decisions to radiologists (Erratum). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Chaofan Chen, Xiaoshan Yang, Jinpeng Zhang, Bo Dong, Changsheng Xu
Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection. IEEE Trans. Image Process. 32 (2023)
Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. CoRR (2023)
Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition. CVPR (2023)
Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
A user interface to communicate interpretable AI decisions to radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations. Decis. Support Syst. 152 (2022)
Chaofan Chen, Wendi Nie, Yaoxin Duan, Victor C. S. Lee, Kai Liu, Huamin Li
An Adaptive Data Rate-Based Task Offloading Scheme in Vehicular Networks. MSN (2022)
Melissa Kimble, S. Allers, K. Campbell, Chaofan Chen, Laura M. Jackson, Benjamin L. King, Samantha Silverbrand, G. York, Kate Beard
medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata. Bioinform. 38 (19) (2022)
Sisi Liu, Chaofan Chen, Yuan Sun
Paragraph-level Tibetan Question Generation for Machine Reading Comprehension. IALP (2022)
Chaofan Chen, Xiaoshan Yang, Ming Yan, Changsheng Xu
Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning. ACM Multimedia (2022)
Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
Interpretable deep learning models for better clinician-AI communication in clinical mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Jon Donnelly, Alina Jade Barnett, Chaofan Chen
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CVPR (2022)
Qinyu Hu, Songyang Wu, Wenqi Sun, Zhushou Tang, Chaofan Chen, Zhiguo Ding, Xiaomei Zhang
Measurement of the Usage of Web Clips in Underground Economy. CoRR (2022)
Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations. CoRR (2021)
Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE Trans. Multim. 23 (2021)
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR (2021)
Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. CVPR (2021)
Yuan Sun, Andong Chen, Chaofan Chen, Tianci Xia, Xiaobing Zhao
A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (2) (2021)
Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning. CoRR (2021)
Jon Donnelly, Alina Jade Barnett, Chaofan Chen
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CoRR (2021)
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3 (12) (2021)
Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. CoRR (2021)
Changhong Wang, Zhongshan Zhang, Jiayi Wu, Chaofan Chen, Fei Gao
An overview of protected satellite communications in intelligent age. Sci. China Inf. Sci. 64 (6) (2021)
Chaofan Chen, Xiangming Li, Xia-qing Miao, Xiangyuan Bu, Shuai Wang
Low-Complexity Polar Coded Noncoherent Detection Using Information Reconstruction. IEEE Commun. Lett. 25 (8) (2021)
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR (2021)
Ye Zhu, Chaofan Chen, Gang Yan, Yingchun Guo, Yongfeng Dong
AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection. IEEE Trans. Ind. Informatics 16 (10) (2020)
Chaofan Chen, Zelei Cheng, Zuotian Li, Manyi Wang
Hypergraph Attention Networks. TrustCom (2020)
Jiawei Li, Jing Jiang, Weihua Wu, Chaofan Chen
Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature. IEEE Access 8 (2020)
Chaofan Chen
A General Model for Learning Node and Graph Representations Jointly. ICPR (2020)
Chaofan Chen, Shuai Wang, Li Li, Sheng Ke, Changhong Wang, Xiangyuan Bu
Intelligent Covert Satellite Communication for Military Robot Swarm. IEEE Access 8 (2020)
Chaofan Chen, Li Li, Li Wang, Shuai Wang, Xiangming Li, George K. Karagiannidis
Noncoherent Detection With Polar Codes. IEEE Access 7 (2019)
Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su
This Looks Like That: Deep Learning for Interpretable Image Recognition. NeurIPS (2019)
Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
Interpretable Image Recognition with Hierarchical Prototypes. HCOMP (2019)
Changhong Wang, Siyang Sun, Xiangyuan Bu, Chaofan Chen, Fei Gao
Filtering wideband slot antenna using split-ring resonator. IEICE Electron. Express 16 (23) (2019)
Minnan Liu, Chaofan Chen, Yongfeng Ma
A Low Latency Hardware Implementation Architecture for Polar Code. ICCT (2019)
Yuan Sun, Like Wang, Chaofan Chen, Tianci Xia, Xiaobing Zhao
Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention. IEEE Access 7 (2019)
Yuan Sun, Chaofan Chen, Tianci Xia, Xiaobing Zhao
QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation. IEEE Access 7 (2019)
Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
Interpretable Image Recognition with Hierarchical Prototypes. CoRR (2019)
Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin
This looks like that: deep learning for interpretable image recognition. CoRR (2018)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. AAAI (2018)
Chaofan Chen, Cynthia Rudin
An Optimization Approach to Learning Falling Rule Lists. AISTATS (2018)
Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
An Interpretable Model with Globally Consistent Explanations for Credit Risk. CoRR (2018)
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR (2017)
Yali Luo, Xiulai Li, Chaofan Chen, Mingrui Chen
An Improved Algorithm Based on LSB. PAAP (2017)
Chaofan Chen, Cynthia Rudin
An optimization approach to learning falling rule lists. CoRR (2017)
Xiulai Li, Chaofan Chen, Yali Luo, Mingrui Chen
Optimization Scheme Based on Parallel Computing Technology. PAAP (2017)