Chaofan Chen

According to our database, Chaofan Chen authored at least 42 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection.

Chaofan Chen, Xiaoshan Yang, Jinpeng Zhang, Bo Dong, Changsheng Xu

IEEE Trans. Image Process., 2023

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations.

Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A user interface to communicate interpretable AI decisions to radiologists (Erratum).

Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin

Proceedings of the Medical Imaging 2023: Image Perception, 2023

A user interface to communicate interpretable AI decisions to radiologists.

Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification.

Han Jiang, Xiaoshan Yang, Chaofan Chen, Changsheng Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition.

Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, Changsheng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations.

Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang

Decis. Support Syst., 2022

Measurement of the Usage of Web Clips in Underground Economy.

Qinyu Hu, Songyang Wu, Wenqi Sun, Zhushou Tang, Chaofan Chen, Zhiguo Ding, Xiaomei Zhang

CoRR, 2022

medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata.

Melissa Kimble, S. Allers, K. Campbell, Chaofan Chen, Laura M. Jackson, Benjamin L. King, Samantha Silverbrand, G. York, Kate Beard

Bioinform., 2022

An Adaptive Data Rate-Based Task Offloading Scheme in Vehicular Networks.

Chaofan Chen, Wendi Nie, Yaoxin Duan, Victor C. S. Lee, Kai Liu, Huamin Li

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning.

Chaofan Chen, Xiaoshan Yang, Ming Yan, Changsheng Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Interpretable deep learning models for better clinician-AI communication in clinical mammography.

Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Paragraph-level Tibetan Question Generation for Machine Reading Comprehension.

Sisi Liu, Chaofan Chen, Yuan Sun

Proceedings of the International Conference on Asian Language Processing, 2022

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes.

Jon Donnelly, Alina Jade Barnett, Chaofan Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation.

Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu

IEEE Trans. Multim., 2021

A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia.

Yuan Sun, Andong Chen, Chaofan Chen, Tianci Xia, Xiaobing Zhao

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A case-based interpretable deep learning model for classification of mass lesions in digital mammography.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

Nat. Mach. Intell., 2021

Low-Complexity Polar Coded Noncoherent Detection Using Information Reconstruction.

Chaofan Chen, Xiangming Li, Xia-qing Miao, Xiangyuan Bu, Shuai Wang

IEEE Commun. Lett., 2021

Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

CoRR, 2021

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.

Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

CoRR, 2021

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong

CoRR, 2021

An overview of protected satellite communications in intelligent age.

Changhong Wang, Zhongshan Zhang, Jiayi Wu, Chaofan Chen, Fei Gao

Sci. China Inf. Sci., 2021

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning.

Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Interpretability by Design: New Interpretable Machine Learning Models and Methods.

Chaofan Chen

PhD thesis, 2020

AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection.

Ye Zhu, Chaofan Chen, Gang Yan, Yingchun Guo, Yongfeng Dong

IEEE Trans. Ind. Informatics, 2020

Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature.

Jiawei Li, Jing Jiang, Weihua Wu, Chaofan Chen

IEEE Access, 2020

Intelligent Covert Satellite Communication for Military Robot Swarm.

Chaofan Chen, Shuai Wang, Li Li, Sheng Ke, Changhong Wang, Xiangyuan Bu

IEEE Access, 2020

Hypergraph Attention Networks.

Chaofan Chen, Zelei Cheng, Zuotian Li, Manyi Wang

Proceedings of the 19th IEEE International Conference on Trust, 2020

A General Model for Learning Node and Graph Representations Jointly.

Chaofan Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Filtering wideband slot antenna using split-ring resonator.

Changhong Wang, Siyang Sun, Xiangyuan Bu, Chaofan Chen, Fei Gao

IEICE Electron. Express, 2019

Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention.

Yuan Sun, Like Wang, Chaofan Chen, Tianci Xia, Xiaobing Zhao

IEEE Access, 2019

QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation.

Yuan Sun, Chaofan Chen, Tianci Xia, Xiaobing Zhao

IEEE Access, 2019

Noncoherent Detection With Polar Codes.

Chaofan Chen, Li Li, Li Wang, Shuai Wang, Xiangming Li, George K. Karagiannidis

IEEE Access, 2019

This Looks Like That: Deep Learning for Interpretable Image Recognition.

Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Low Latency Hardware Implementation Architecture for Polar Code.

Minnan Liu, Chaofan Chen, Yongfeng Ma

Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

Interpretable Image Recognition with Hierarchical Prototypes.

Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

An Interpretable Model with Globally Consistent Explanations for Credit Risk.

Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang

CoRR, 2018

This looks like that: deep learning for interpretable image recognition.

Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin

CoRR, 2018

An Optimization Approach to Learning Falling Rule Lists.

Chaofan Chen, Cynthia Rudin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.

Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Improved Algorithm Based on LSB.

Yali Luo, Xiulai Li, Chaofan Chen, Mingrui Chen

Proceedings of the Parallel Architecture, Algorithm and Programming, 2017

Optimization Scheme Based on Parallel Computing Technology.

Xiulai Li, Chaofan Chen, Yali Luo, Mingrui Chen

Proceedings of the Parallel Architecture, Algorithm and Programming, 2017