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Chaofan Chen
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2020 – today
- 2024
- [j17]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: 120364 (2024) - [j16]Li Liu, Chaofan Chen, Yingchun Wu, Chin-Chen Chang, Anhong Wang:
Reversible data hiding in encrypted images with block-based bit-plane reallocation. Multim. Tools Appl. 83(37): 84911-84932 (2024) - [c23]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. CVPR Workshops 2024: 5003-5009 - [c22]Chaofan Chen, Xiao Chen:
Research on Daylight Inside Buildings Based on Machine Learning. ICMLCA 2024: 11-15 - [c21]Chaofan Chen, Wenhao Zhong, Kezhong Lu:
Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams. IJCNN 2024: 1-8 - [i15]Julia Yang, Alina Jade Barnett
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR abs/2406.06386 (2024) - [i14]Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen:
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. CoRR abs/2410.20722 (2024) - 2023
- [j15]Chaofan Chen
Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection. IEEE Trans. Image Process. 32: 1092-1107 (2023) - [c20]Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, Changsheng Xu:
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition. CVPR 2023: 6492-6502 - [c19]Han Jiang, Xiaoshan Yang, Chaofan Chen, Changsheng Xu:
Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification. ICME 2023: 456-461 - [c18]Yanchen Jessie Ou, Alina Jade Barnett
A user interface to communicate interpretable AI decisions to radiologists. Image Perception, Observer Performance, and Technology Assessment 2023 - [c17]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). Image Perception, Observer Performance, and Technology Assessment 2023 - [c16]Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin:
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. NeurIPS 2023 - [i13]Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin:
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. CoRR abs/2310.18589 (2023) - 2022
- [j14]Melissa Kimble
medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata. Bioinform. 38(19): 4589-4597 (2022) - [j13]Chaofan Chen
A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations. Decis. Support Syst. 152: 113647 (2022) - [c15]Jon Donnelly
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CVPR 2022: 10255-10265 - [c14]Sisi Liu, Chaofan Chen, Yuan Sun:
Paragraph-level Tibetan Question Generation for Machine Reading Comprehension. IALP 2022: 280-285 - [c13]Alina Jade Barnett
Interpretable deep learning models for better clinician-AI communication in clinical mammography. Image Perception, Observer Performance, and Technology Assessment 2022 - [c12]Chaofan Chen, Xiaoshan Yang
Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning. ACM Multimedia 2022: 6259-6268 - [c11]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: 877-884 - [i12]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 abs/2209.03319 (2022) - 2021
- [j12]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) - [j11]Chaofan Chen
Low-Complexity Polar Coded Noncoherent Detection Using Information Reconstruction. IEEE Commun. Lett. 25(8): 2492-2496 (2021) - [j10]Alina Jade Barnett
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3(12): 1061-1070 (2021) - [j9]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): 27:1-27:17 (2021) - [j8]Chaofan Chen
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE Trans. Multim. 23: 2335-2346 (2021) - [c10]Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma:
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. CVPR 2021: 6596-6605 - [i11]Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong:
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. CoRR abs/2103.11251 (2021) - [i10]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 abs/2103.12308 (2021) - [i9]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 abs/2106.02605 (2021) - [i8]Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma:
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning. CoRR abs/2106.08523 (2021) - [i7]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 abs/2107.05605 (2021) - [i6]Jon Donnelly, Alina Jade Barnett, Chaofan Chen:
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CoRR abs/2111.15000 (2021) - 2020
- [b1]Chaofan Chen:
Interpretability by Design: New Interpretable Machine Learning Models and Methods. Duke University, Durham, NC, USA, 2020 - [j7]Chaofan Chen
Intelligent Covert Satellite Communication for Military Robot Swarm. IEEE Access 8: 5363-5382 (2020) - [j6]Jiawei Li
Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature. IEEE Access 8: 66353-66364 (2020) - [j5]Ye Zhu
AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection. IEEE Trans. Ind. Informatics 16(10): 6714-6723 (2020) - [c9]Chaofan Chen:
A General Model for Learning Node and Graph Representations Jointly. ICPR 2020: 2867-2873 - [c8]Chaofan Chen, Zelei Cheng
Hypergraph Attention Networks. TrustCom 2020: 1560-1565
2010 – 2019
- 2019
- [j4]Chaofan Chen
Noncoherent Detection With Polar Codes. IEEE Access 7: 6362-6372 (2019) - [j3]Yuan Sun
QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation. IEEE Access 7: 116247-116255 (2019) - [j2]Yuan Sun
Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention. IEEE Access 7: 173054-173062 (2019) - [j1]Changhong Wang, Siyang Sun, Xiangyuan Bu, Chaofan Chen, Fei Gao:
Filtering wideband slot antenna using split-ring resonator. IEICE Electron. Express 16(23): 20190647 (2019) - [c7]Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. HCOMP 2019: 32-40 - [c6]Minnan Liu, Chaofan Chen, Yongfeng Ma:
A Low Latency Hardware Implementation Architecture for Polar Code. ICCT 2019: 1443-1448 - [c5]Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su:
This Looks Like That: Deep Learning for Interpretable Image Recognition. NeurIPS 2019: 8928-8939 - [i5]Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. CoRR abs/1906.10651 (2019) - 2018
- [c4]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: 3530-3537 - [c3]Chaofan Chen, Cynthia Rudin:
An Optimization Approach to Learning Falling Rule Lists. AISTATS 2018: 604-612 - [i4]Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin:
This looks like that: deep learning for interpretable image recognition. CoRR abs/1806.10574 (2018) - [i3]Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang:
An Interpretable Model with Globally Consistent Explanations for Credit Risk. CoRR abs/1811.12615 (2018) - 2017
- [c2]Yali Luo, Xiulai Li, Chaofan Chen, Mingrui Chen:
An Improved Algorithm Based on LSB. PAAP 2017: 386-392 - [c1]Xiulai Li, Chaofan Chen, Yali Luo, Mingrui Chen:
Optimization Scheme Based on Parallel Computing Technology. PAAP 2017: 504-513 - [i2]Chaofan Chen, Cynthia Rudin:
An optimization approach to learning falling rule lists. CoRR abs/1710.02572 (2017) - [i1]Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin:
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR abs/1710.04806 (2017)
Coauthor Index
aka: Alina Jade Barnett
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