Chaofan Chen - RankMe

76 papers A* 12A 2B 4Journal 47Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CTI-Thinker: an LLM-driven system for CTI knowledge graph construction and attack reasoning. Cybersecur. Xiuzhang Yang, Ruijie Zhong, Yuling Chen, Guojun Peng, Di Yao, Chaofan Chen, Chenyang Wang, Dongni Zhang, Yilin Zhou, Zixuan Yang
2026	J	`jnl`	EgoFusion: unified semantic and scale-aware prompt fusion for egocentric action recognition. Multim. Syst. Hechenrui Fan, Huaihai Lyu, Chaofan Chen
2026	J	`jnl`	Fine-grained named entity recognition of ancient texts based on multi-view semantic fusion and deep learning. J. King Saud Univ. Comput. Inf. Sci. Xiuzhang Yang, Yuling Chen, Shuai Wu, Chaofan Chen, Di Yao, Xuanzhang Wu, Ruijie Zhong, Binyang Xu
2026	J	`jnl`	L-DC-DETR: A Lite Distance-Content Aware DETR for Gas Pipeline Defect Detection. Signal Image Video Process. Chaofan Chen, Ting Zhang, Cong Ma, Zhaoying Liu, Sadaqat ur Rehman, Yanan Shi, Amr Munshi
2026	J	`jnl`	Spatio-Temporal Heritable Neural Networks for Traffic Flow Prediction. IEEE Trans. Netw. Sci. Eng. Weilong Ding, Qi Yu, Tianpu Zhang, Yuwei Gu, Chaofan Chen, Hao Zhang, Ahmad Taher Azar, Honghao Gao
2025	J	`jnl`	Compact Latent Primitive Space Learning for Compositional Zero-Shot Learning. IEEE Trans. Multim. Han Jiang, Chaofan Chen, Xiaoshan Yang, Changsheng Xu
2025	A*	`conf`	DMC ACM Multimedia Jiayi Zou, Chaofan Chen, Bing-Kun Bao, Changsheng Xu
2025	J	`jnl`	DMC CoRR Jiayi Zou, Chaofan Chen, Bing-Kun Bao, Changsheng Xu
2025	A*	`conf`	EgoPrompt: Prompt Learning for Egocentric Action Recognition. ACM Multimedia Huaihai Lyu, Chaofan Chen, Yuheng Ji, Changsheng Xu
2025	J	`jnl`	EgoPrompt: Prompt Learning for Egocentric Action Recognition. CoRR Huaihai Lyu, Chaofan Chen, Yuheng Ji, Changsheng Xu
2025	J	`jnl`	Multi-granularity ensemble sample selection and label correction for classification with noisy labels. Appl. Soft Comput. Kecan Cai, Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Chaofan Chen
2025	J	`jnl`	OmniSAT: Compact Action Token, Faster Auto Regression. CoRR Huaihai Lyu, Chaofan Chen, Senwei Xie, Pengwei Wang, Xiansheng Chen, Shanghang Zhang, Changsheng Xu
2025	A*	`conf`	Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning. AAAI Chaofan Chen, Xiaoshan Yang, Changsheng Xu
2025	A*	`conf`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CVPR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	J	`jnl`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CoRR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	J	`jnl`	Relationship Between Offensive Performance and Symmetry of Muscle Function, and Injury Factors in Elite Volleyball Players. Symmetry Chaofan Chen, Panpan Shi, Munku Song, Yonghwan Kim, Jiyoung Lee
2025	J	`jnl`	SPDQ: Synergetic Prompts as Disentanglement Queries for Compositional Zero-Shot Learning. IEEE Trans. Multim. Han Jiang, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
2025	J	`jnl`	What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities. CoRR Muchang Bahng, Charlie Berens, Jon Donnelly, Eric Chen, Chaofan Chen, Cynthia Rudin
2025	J	`jnl`	XLM4Detector: Multistage Deobfuscation and Semantic-Driven Excel 4.0 Macro Malware Detection. IEEE Internet Things J. Xiuzhang Yang, Yuling Chen, Chaofan Chen, Di Yao, Chenguang Li, Yilin Zhou, Chenyang Wang, Zhi Ouyang, Guojun Peng
2024	J	`jnl`	A knowledge-based iterated local search for the weighted total domination problem. Inf. Sci. Wen Sun, Chaofan Chen, Jin-Kao Hao, Wenlong Li, Qinghua Wu, Yuning Chen
2024	—	`conf`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CVPR Workshops Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	A*	`conf`	Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. NeurIPS Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
2024	J	`jnl`	Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. CoRR Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
2024	—	`conf`	Research on Daylight Inside Buildings Based on Machine Learning. ICMLCA Chaofan Chen, Xiao Chen
2024	J	`jnl`	Reversible data hiding in encrypted images with block-based bit-plane reallocation. Multim. Tools Appl. Li Liu, Chaofan Chen, Yingchun Wu, Chin-Chen Chang, Anhong Wang
2024	B	`conf`	Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams. IJCNN Chaofan Chen, Wenhao Zhong, Kezhong Lu
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists (Erratum). Image Perception, Observer Performance, and Technology Assessment Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists. Image Perception, Observer Performance, and Technology Assessment Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	A*	`conf`	Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition. CVPR Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
2023	J	`jnl`	Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection. IEEE Trans. Image Process. Chaofan Chen, Xiaoshan Yang, Jinpeng Zhang, Bo Dong, Changsheng Xu
2023	A	`conf`	Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification. ICME Han Jiang, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
2023	A*	`conf`	This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. NeurIPS Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
2023	J	`jnl`	This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations. CoRR Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
2022	J	`jnl`	A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations. Decis. Support Syst. Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
2022	—	`conf`	An Adaptive Data Rate-Based Task Offloading Scheme in Vehicular Networks. MSN Chaofan Chen, Wendi Nie, Yaoxin Duan, Victor C. S. Lee, Kai Liu, Huamin Li
2022	A*	`conf`	Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning. ACM Multimedia Chaofan Chen, Xiaoshan Yang, Ming Yan, Changsheng Xu
2022	A*	`conf`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CVPR Jon Donnelly, Alina Jade Barnett, Chaofan Chen
2022	—	`conf`	Interpretable deep learning models for better clinician-AI communication in clinical mammography. Image Perception, Observer Performance, and Technology Assessment Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2022	J	`jnl`	Measurement of the Usage of Web Clips in Underground Economy. CoRR Qinyu Hu, Songyang Wu, Wenqi Sun, Zhushou Tang, Chaofan Chen, Zhiguo Ding, Xiaomei Zhang
2022	—	`conf`	Paragraph-level Tibetan Question Generation for Machine Reading Comprehension. IALP Sisi Liu, Chaofan Chen, Yuan Sun
2022	J	`jnl`	medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata. Bioinform. Melissa Kimble, Steven Allers, K. Campbell, Chaofan Chen, Laura M. Jackson, Benjamin L. King, Samantha Silverbrand, Geneva York, Kate Beard
2021	J	`jnl`	A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations. CoRR Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
2021	J	`jnl`	A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia. ACM Trans. Asian Low Resour. Lang. Inf. Process. Yuan Sun, Andong Chen, Chaofan Chen, Tianci Xia, Xiaobing Zhao
2021	J	`jnl`	A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	An overview of protected satellite communications in intelligent age. Sci. China Inf. Sci. Changhong Wang, Zhongshan Zhang, Jiayi Wu, Chaofan Chen, Fei Gao
2021	J	`jnl`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CoRR Jon Donnelly, Alina Jade Barnett, Chaofan Chen
2021	A*	`conf`	ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. CVPR Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
2021	J	`jnl`	ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning. CoRR Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
2021	J	`jnl`	HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE Trans. Multim. Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu
2021	J	`jnl`	IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. CoRR Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong
2021	J	`jnl`	Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Low-Complexity Polar Coded Noncoherent Detection Using Information Reconstruction. IEEE Commun. Lett. Chaofan Chen, Xiangming Li, Xiaqing Miao, Xiangyuan Bu, Shuai Wang
2020	B	`conf`	A General Model for Learning Node and Graph Representations Jointly. ICPR Chaofan Chen
2020	J	`jnl`	AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection. IEEE Trans. Ind. Informatics Ye Zhu, Chaofan Chen, Gang Yan, Yingchun Guo, Yongfeng Dong
2020	J	`jnl`	Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature. IEEE Access Jiawei Li, Jing Jiang, Weihua Wu, Chaofan Chen
2020	B	`conf`	Hypergraph Attention Networks. TrustCom Chaofan Chen, Zelei Cheng, Zuotian Li, Manyi Wang
2020	J	`jnl`	Intelligent Covert Satellite Communication for Military Robot Swarm. IEEE Access Chaofan Chen, Shuai Wang, Li Li, Sheng Ke, Changhong Wang, Xiangyuan Bu
2020	—	`—`	Interpretability by Design: New Interpretable Machine Learning Models and Methods. Chaofan Chen
2019	—	`conf`	A Low Latency Hardware Implementation Architecture for Polar Code. ICCT Minnan Liu, Chaofan Chen, Yongfeng Ma
2019	J	`jnl`	Filtering wideband slot antenna using split-ring resonator. IEICE Electron. Express Changhong Wang, Siyang Sun, Xiangyuan Bu, Chaofan Chen, Fei Gao
2019	J	`jnl`	Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention. IEEE Access Yuan Sun, Like Wang, Chaofan Chen, Tianci Xia, Xiaobing Zhao
2019	B	`conf`	Interpretable Image Recognition with Hierarchical Prototypes. HCOMP Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
2019	J	`jnl`	Interpretable Image Recognition with Hierarchical Prototypes. CoRR Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
2019	J	`jnl`	Noncoherent Detection With Polar Codes. IEEE Access Chaofan Chen, Li Li, Li Wang, Shuai Wang, Xiangming Li, George K. Karagiannidis
2019	J	`jnl`	QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation. IEEE Access Yuan Sun, Chaofan Chen, Tianci Xia, Xiaobing Zhao
2019	A*	`conf`	This Looks Like That: Deep Learning for Interpretable Image Recognition. NeurIPS Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su
2018	J	`jnl`	An Interpretable Model with Globally Consistent Explanations for Credit Risk. CoRR Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
2018	A	`conf`	An Optimization Approach to Learning Falling Rule Lists. AISTATS Chaofan Chen, Cynthia Rudin
2018	A*	`conf`	Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. AAAI Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
2018	J	`jnl`	This looks like that: deep learning for interpretable image recognition. CoRR Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin
2017	—	`conf`	An Improved Algorithm Based on LSB. PAAP Yali Luo, Xiulai Li, Chaofan Chen, Mingrui Chen
2017	J	`jnl`	An optimization approach to learning falling rule lists. CoRR Chaofan Chen, Cynthia Rudin
2017	J	`jnl`	Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions. CoRR Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
2017	—	`conf`	Optimization Scheme Based on Parallel Computing Technology. PAAP Xiulai Li, Chaofan Chen, Yali Luo, Mingrui Chen