Can Cui

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 120

Top Venues

Publications

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles. IEEE Intell. Transp. Syst. Mag. 16 (4) (2024)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles. WACV (Workshops) (2024)
Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications. CoRR (2024)
Kristi Doleh, Leonard Humphrey, Chandler M. Linseisen, Michael D. Kitcher, Joanna M. Martin, Can Cui, Jean Anne C. Incorvia, Felipe García-Sánchez, Naimul Hassan, Alexander J. Edwards, Joseph S. Friedman
Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations. CoRR (2024)
Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang
REDFormer: Radar Enlightens the Darkness of Camera Perception With Transformers. IEEE Trans. Intell. Veh. 9 (1) (2024)
Can Cui, Samuel Liu, Jaesuk Kwon, Jean Anne C. Incorvia
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron. CoRR (2024)
Juanwu Lu, Can Cui, Yunsheng Ma, Aniket Bera, Ziran Wang
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture. CoRR (2024)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng
A Survey on Multimodal Large Language Models for Autonomous Driving. WACV (Workshops) (2024)
Honglin Li, Yusuan Sun, Chenglu Zhu, Yunlong Zhang, Shichuan Zhang, Zhongyi Shui, Pingyi Chen, Jingxiong Li, Sunyi Zheng, Can Cui, Lin Yang
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis. CoRR (2024)
Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, Yaning Fan, Donglin Wang
GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot. CoRR (2024)
Zhizezhang Gao, Haochen Yan, Yuheng Wu, Can Cui, Yingzhi Zhang, Jun Feng
Exploring Relations between Programming Learning Trajectories and Students' Majors. ACM TUR-C (2024)
Can Cui, Xiaobin Zhou, Miao Wang, Fei Gao, Chao Xu
FastSim: A Modular and Plug-and-Play Simulator for Aerial Robots. IEEE Robotics Autom. Lett. 9 (6) (2024)
Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang
MACP: Efficient Model Adaptation for Cooperative Perception. WACV (2024)
Can Cui, Sheng Xia, Ming Li, Ming Xu, Xinxin Xu, Xue Chen
Analysis of Stealing Electricity Based on Outliers. PEAI (2024)
Guochao Wang, Lvye Gao, Guangyao Huang, Xiaoyang Lei, Can Cui, Shengtong Wang, Mingyue Yang, Junhao Zhu, Shuhua Yan, Xinghui Li
A Wavelength-Stabilized and Quasi-Common-Path Heterodyne Grating Interferometer With Sub-Nanometer Precision. IEEE Trans. Instrum. Meas. 73 (2024)
Can Cui, Ziye Jia, Chao Dong, Zhuang Ling, Jiahao You, Qihui Wu
Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC. INFOCOM Workshops (2023)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles. CoRR (2023)
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR (2023)
Xuan Hu, Can Cui, Samuel Liu, Felipe García-Sánchez, Wesley H. Brigner, Benjamin W. Walker, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Naimul Hassan, Michael P. Frank, Jean Anne C. Incorvia, Joseph S. Friedman
Magnetic skyrmions and domain walls for logical and neuromorphic computing. Neuromorph. Comput. Eng. 3 (2) (2023)
Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR (2023)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng
A Survey on Multimodal Large Language Models for Autonomous Driving. CoRR (2023)
Wenqiao Zhang, Changshuo Liu, Can Cui, Beng Chin Ooi
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation. CoRR (2023)
Can Cui, Ziye Jia, Chao Dong, Zhuang Ling, Jiahao You, Qihui Wu
Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC. CoRR (2023)
Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology. CoRR (2023)
Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CoRR (2023)
Can Cui, Hong Huo, Tao Fang
Deep Hashing With Multi-Central Ranking Loss for Multi-Label Image Retrieval. IEEE Signal Process. Lett. 30 (2023)
Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR (2023)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang
Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins. sec (2023)
Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang
A Survey on Deep Reinforcement Learning for Data Processing and Analytics. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles. CoRR (2023)
Zhuorao Yang, Baojiang Cui, Can Cui
IPT-CFI: Control Flow Integrity Vulnerability Detection Based on Intel Processor Trace. EIDWT (2023)
Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR (2023)
Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. CoRR (2023)
Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, Ziran Wang
Large Language Models for Autonomous Driving: Real-World Experiments. CoRR (2023)
Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. CoRR (2023)
Yixuan Ye, Jiaqi Hu, Fuyuan Pang, Can Cui, Hongyu Zhao
Genomic risk prediction of cardiovascular diseases among type 2 diabetes patients in the UK Biobank. Frontiers Bioinform. 3 (2023)
Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang
Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. ITSC (2023)
Can Cui, Chunxiao Li, Ming Li
An Online Reinforcement Learning Method for Multi-Zone Ventilation Control With Pre-Training. IEEE Trans. Ind. Electron. 70 (7) (2023)
Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang
MACP: Efficient Model Adaptation for Cooperative Perception. CoRR (2023)
Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR (2023)
Can Cui, Sheikh Imran Ahamad, Mostafa Sadeghi, Emmanuel Vincent
End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. CoRR (2023)
Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR (2023)
Shuping Li, Can Cui, Jing Meng, Yuan Li, Yuli Shan, Weichen Zhao, Priti Parikh, Jiawei Yao, Dabo Guan
The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies. Patterns 4 (7) (2023)
Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR (2023)
Can Cui, Sheikh Imran Ahamad, Mostafa Sadeghi, Emmanuel Vincent
End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data. CoRR (2023)
Pengju Liu, Baojiang Cui, Can Cui
Traffic-Oriented Shellcode Detection Based on VSM. EIDWT (2023)
Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent
End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. ASRU (2023)
Jing An, Kefan Wang, Hui Sun, Can Cui, Wei Li, Chao Ma
Attention virtual adversarial based semi-supervised question generation. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR (2022)
Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Ipek Oguz
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. CoRR (2022)
Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. REMIA@MICCAI (2022)
Yan Wang, Can Cui, Ruili Ye, Fangchun Di, Lei Tao, Lin Xie, Chaohan Feng, Qiong Feng, Zhibin Song, Huiwen Qi, Xiangyu Zhang
Evaluation Technology of Power Regulation Data Assets. IFTC (2022)
Lin Xie, Ruili Ye, Yan Wang, Chaohan Feng, Dapeng Li, Xiangyu Zhang, Can Cui, Qiong Feng, Zhoujie Zhang, Xinxin Sheng
Interactive Sharing Method of Power Grid Dispatching and Control Operation Data Based on Data Classification and Grading. IFTC (2022)
Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. CoRR (2022)
Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. MIUA (2022)
Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. CoRR (2022)
Can Cui, Luyuan Xu, Bo Liu, Jing Chen, Shuaiyu Yao, Qi Kang
Aspect-level Sentiment Classification with Multi-head-attention-based Multi-channel Graph Convolutional Networks. ICNSC (2022)
Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) (2022)
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. CoRR (2022)
Can Cui, Bin Liu, Shihai Wang
WIFLF: An approach independent of the target project for cross-project defect prediction. J. Softw. Evol. Process. 34 (12) (2022)
Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion. CoRR (2022)
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI (2022)
Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI (2022)
Kimberly Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
Learned Simulators for Turbulence. ICLR (2022)
Can Cui, Linhan Xu, Boyu Yang, Jun Ke
Meta-TR: Meta-Attention Spatial Compressive Imaging Network With Swin Transformer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. MICCAI (5) (2022)
Can Cui, Otitoaleke G. Akinola, Naimul Hassan, Christopher H. Bennett, Matthew J. Marinella, Joseph S. Friedman, Jean Anne C. Incorvia
Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing. ISCAS (2022)
Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. MIDL (2022)
Chenglu Zhu, Yuxuan Sun, Honglin Li, Can Cui, Shichuan Zhang, Jiatong Cai, Yang Ling
Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image. ISBI (2022)
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. SIGMOD Conference (2021)
Benjamin W. Walker, Can Cui, Felipe García-Sánchez, Jean Anne C. Incorvia, Xuan Hu, Joseph S. Friedman
Skyrmion Logic Clocked via Voltage Controlled Magnetic Anisotropy. CoRR (2021)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. ICRA (2021)
Can Cui, Fengyin Li, Tao Li, Jiguo Yu, Rui Ge, Hui Liu
Research on direct anonymous attestation mechanism in enterprise information management. Enterp. Inf. Syst. 15 (4) (2021)
Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. CoRR (2021)
Bingxu Li, Can Cui, Xin Zhang, Wenjian Cai
A Data-Physical Hybrid-Driven Air Balancing Method for the Ventilation System. IEEE Trans. Ind. Informatics 17 (10) (2021)
Kimberly L. Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
Learned Coarse Models for Efficient Turbulence Simulation. CoRR (2021)
Xuehong Gao, Xuefeng Jin, Pai Zheng, Can Cui
Multi-modal transportation planning for multi-commodity rebalancing under uncertainty in humanitarian logistics. Adv. Eng. Informatics 47 (2021)
Can Cui, Xin Zhang, Wenjian Cai, Fanyong Cheng
A Novel Air Balancing Method for HVAC Systems by a Full Data-Driven Duct System Model. IEEE Trans. Ind. Electron. 68 (12) (2021)
Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning. CoRR (2021)
Xuehong Gao, Can Cui
A note on the warehouse location problem with data contamination. RAIRO Oper. Res. 55 (2) (2021)
Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang
A Survey on Deep Reinforcement Learning for Data Processing and Analytics. CoRR (2021)
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. CoRR (2021)
Di Wu, Can Cui, Benoit Boulet
Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation. AI4KMES@IJCAI (2021)
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI (2021)
Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. CoRR (2021)
Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. MICCAI (1) (2021)
Can Cui, Han Liu, Dario J. Englot, Benoit M. Dawant
Brain vessel segmentation in contrast-enhanced T1-weighted MR Images for deep brain stimulation of the anterior thalamus using a deep convolutional neural network. Medical Imaging: Image-Guided Procedures (2021)
Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. CoRR (2021)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. CoRR (2021)
Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning. MICCAI (8) (2021)
Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion. BrainLes@MICCAI (2) (2021)
Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. CoRR (2021)
Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. ISCAS (2020)
Renaid B. Kim, Jonathan Gryak, Abinash Mishra, Can Cui, S. M. Reza Soroushmehr, Kayvan Najarian, James S. Wrobel
Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Comput. Biol. Medicine 126 (2020)
Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. CoRR (2020)
Bingxu Li, Fanyong Cheng, Xin Zhang, Can Cui, Wenjian Cai
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data. CoRR (2020)
Zhangjie Liu, Xin Zhang, Wenjian Cai, Can Cui
An Adaptive Distributed Consensus Control for Air Balancing of HVAC Systems. IECON (2020)
Fengyin Li, Can Cui, Dongfeng Wang, Zhongxing Liu, Nebrase Elmrabit, Ying Wang, Huiyu Zhou
Privacy-Aware Secure Anonymous Communication Protocol in CPSS Cloud Computing. IEEE Access 8 (2020)
Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. CoRR (2020)

Can Cui.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Can Cui