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Diversity-Sensitive Generative Adversarial Network for Terrain Mapping under Limited Human Intervention
Jianqiang Li, Zhuangzhuang Chen, Jie Chen, and Qiuzhen Lin
IEEE Transactions on Cybernetics, 2021, vol 51, no. 12, pp. 6029 – 6040, 2021
paper code/models
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On-site Colonoscopy Auto-Diagnosis using Smart Internet of Medical Things
Jie Chen, Xiaoxiao Song, Zhichao Huang, Jianqiang Li, Zhaoxia Wang, Chengwen Luo, Fei Yu
Accepted for Publication in IEEE Internet of Things Journal, 2021. DOI: 10.1109/JIOT.2021.3116699
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Stroke Risk Prediction with Hybrid Deep Transfer Learning Framework
Jie Chen, Yingru Chen, and Jianqiang Li, Jia Wang, Zijie Lin and Nandi, Asoke K
Accepted for Publication as Regular Paper in IEEE Journal of Biomedical and Health Informatics, 2021. DOI: 10.1109/JBHI.2021.3088750
paper
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Integrated Air-Ground Vehicles for UAV Emergency Landing based on Graph Convolution Network
Jie Chen, Yifan Zhang, Jianqiang Li, Weiming Du, Zhuangzhuang Chen, Zun Liu, Huihui Wang and Victor C.M. Leung
Accepted for Publication in IEEE Internet of Things Journal, 2021
paper
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Global Visual and Semantic Observations for Outdoor Robot Localization
Jianqiang Li, Shuqing Hu, Qinjian Li, Jie Chen, Victor C. M. Leung and Houbing Song
Accepted for Publication in IEEE Internet of Things Journal, 2021
paper
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Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate
Changping Ji, Min Fang, Jie Chen, Muhammad Umair Raza and Jianqiang Li
Accepted In Proceedings of International Conference on Intelligent Computing, 2021. (The Best Paper Award)
paper
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Energy-Efficient Ground Traversability Mapping Based on Collaborative UAV-UGV System
Jianqiang Li, Yanyan Cheng, Jin Zhou, Jie Chen, Zun Liu, Shuqing Hu, Victor C.M
Accepted for Publication in IEEE Transactions on Green Communications and Networking, 2021.DOI: 10.1109/TGCN.2021.3107291
paper
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人工智能在合成生物学的应用
李敏,林子杰,廖文斌,陈廷柏,李坚强,陈杰,肖敏凤
集成技术,2021.DOI: 10.12146/j.issn.2095-3135.20210510001
paper
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Interpretable Respiratory Sound Analysis with Ensemble Knowledge Distillation
Cheng Wang, Jianqiang Li, Jie Chen, Heng Zhang, Li Wang and Zun Liu
Accepted In The IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2021
paper
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Graph Relation Network for Person Counting in Construction Site Using UAV
Zun Liu, Xiaonan Hu, Jianqiang Li, Jie Chen, Wenlian Huang, Xiaoyu Zhao and Victor C. M. Leung
Applied Soft Computing, 110, 107562, 2021.
arXiv
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System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach
Zun Liu, Jianqiang Li, Cheng Wang, Richard Yu, Jie Chen, Ying He and Changyin Sun
IEEE Transactions on Vehicular Technology, vol 70, no 2, pp. 1135 – 1145, 2021
paper
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GAN-based Dual Active Learning for Nosocomial Infection Detection
Li Wang, Xin Ye, Jialin Li, Yu Wen, Wenbin Liao, Houbing Song, Jie Chen and Jianqiang Li
IEEE Transactions on Network Science and Engineering, 2021. DOI: 10.1109/TNSE.2021.3100322
paper
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RTT-based Rogue UAV Detection in IoV Networks
Nilesh Chakraborty, Yao Chao, Jianqiang Li, Sumit Mishra, Chengwen Luo, Ying He, Jie Chen and Yi Pan
Accepted for Publication in IEEE Internet of Things Journal, 2021. DOI: 10.1109/JIOT.2021.3051293
paper
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On Understanding the Impact of RTT in the Mobile Network for Detecting the Rogue UAVs
Nilesh Chakraborty, Yao Chao, Chengwen Luo, Jianqiang Li, Pan Ziying, Jie Chen and Yi Pan
IEEE Transactions on Cognitive Communications and Networking , vol 6, no 4, pp. 1218 – 1229, 2021
paper
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基于集成知识蒸馏的肺病分析
李坚强, 王成, 黄志超, 陈杰
控制理论与应用, 2020
paper
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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
Tong Teng, Jie Chen, Yehong Zhang and Kian Hsiang Low
Accepted In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
paper
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Multi-task Gaussian Process Classification-based Collaborative Map Fusion Using Air-Ground Robotic System
Jianqiang Li, Yanyan Cheng and Jie Chen
In Proceedings of IEEE 2020 International Symposium on Autonomous Systems (ISAS). DOI: 10.1109/ISAS49493.2020.9378836.
paper
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An Ensemble Net of Convolutional Auto-Encoder and Graph Auto-Encoder for Auto-Diagnosis
Jiangqiang Li; Changping Ji; Guokai Yan; Linlin You; Jie Chen
Accepted for Publication as Regular Paper in IEEE Transactions on Cognitive and Developmental Systems, 2020, Early Access. DOI:10.1109/TCDS.2020.2984335.
paper
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Exploiting Patient-Doctor Network for Cost-effective Automatic Medical Fraud Detection
Jie Chen, Dongyi Yi, Jianqiang Li, Genqiang Deng, Suisong Zhu, Lijia Ma, Daming Shi and Victor C.M. Leung
Accepted In Proceedings of The 28th International Conference on Computer Communications and Networks (ICCCN-19), 2019
paper
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TagSort: Accurate Relative Localization Exploring RFID Phase Spectrum Matching for Internet of Things
Jinjiang Lai; Chengwen Luo; Jiawei Wu; Jianqiang Li; Jia Wang; Jie Chen; Gang Feng;Houbing Song
Accepted for Publication in IEEE Internet of Things Journal, Oct. 2019.
paper
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Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic
Modeling and Prediction in Mobility-on-Demand Systems
Jie Chen, Kian Hsiang Low and Patrick Jaillet
Accepted for publication in IEEE Transactions on Automation Science and Engineering (Special Issue on Networked Cooperative Autonomous Systems), Jul 2015. DOI: 10.1109/TASE.2015.2422852.
paper
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Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov
Approximation
Kian Hsiang Low, Jiangbo Yu,Jie Chen and Patrick Jaillet
Accepted for publication in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, Jan 25-29, 2015.
arXiv
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Recent Advances in Scaling up Gaussian Process Predictive Models for Large Spatiotemporal
Data
Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu and Patrick Jaillet
Accepted for publication in Proceedings of the Dynamic Data-driven Environmental Systems Science Conference, MIT, Cambridge, MA, Nov 5-7, 2014
paper
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Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot
Localization
Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu and Patrick Jaillet
Accepted for publication in Proceedings of the Dynamic Data-driven Environmental Systems Science Conference, MIT, Cambridge, MA, Nov 5-7, 2014
paper
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GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process
Observation Model.
Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim and Etkin Baris Ozgul
In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pages 2585-2592, Quebec City, Canada, Jul 27-31, 2014
arXiv
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Multi-Robot Active Sensing of Non-Stationary Gaussian Process-Based Environmental Phenomena
Ruofei Ouyang, Kian Hsiang Low, Jie Chen and Patrick Jaillet
In Proceedings of the 13th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-14), pages 573-580, Paris, France, May 5-9, 2014.
paper
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Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan and Patrick Jaillet
In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI-13), pages 152-161, Bellevue, WA, Jul 11-15, 2013
paper
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Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System
Jie Chen, Kian Hsiang Low and Colin Keng-Yan Tan.
In Proceedings of the Robotics:Science and Systems Conference (RSS-13), Berlin, Germany, Jun 24-28, 2013.
paper
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Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, AliOran, Patrick Jaillet, John M. Dolan Gaurav S. Sukhatme.
In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI-12), Catalina Island, CA, Aug 15-17, 2012
paper
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Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing
Kian Hsiang Low, Jie Chen, John M. Dolan, Steve Chien and DavidR. Thompson
In Proceedings of the 11th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-12), pages 105-112, Valencia, Spain, June 4-8, 2012.
paper
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