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ORCIDJun Liu 0014
Person information
- affiliation (PhD 2003): Beijing University of Posts and Telecommunications, Center for Data Science, Beijing, China
Other persons with the same name
- Jun Liu — disambiguation page
- Jun Liu 0001
![[0000-0001-8859-5405]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8859-5405")
— University of Ulster, Jordanstown, UK (and 3 more) - Jun Liu 0002 — Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China (and 1 more)
- Jun Liu 0003 — Infinia ML Inc., Durham, NC, USA (and 4 more)
- Jun Liu 0004 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 3 more)
- Jun Liu 0005 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China (and 2 more)
- Jun Liu 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 4 more)
- Jun Liu 0007 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Jun Liu 0008 — Pennsylvania State University, University Park, PA, USA
- Jun Liu 0009 — University of Alabama, Tuscaloosa, AL, USA (and 1 more)
- Jun Liu 0010 — Guangzhou University of Chinese Medicine, Guangzhou, China
- Jun Liu 0011 — Wuhan University of Science and Technology, Wuhan, China (and 1 more)
- Jun Liu 0012 — Northeast Normal University, School of Mathematics and Statistics, Changchun, China (and 1 more)
- Jun Liu 0013 — University of North Dakota, Grand Forks, ND, USA (and 1 more)
- Jun Liu 0015 — University of Waterloo, Canada (and 2 more)
- Jun Liu 0016 — Tsinghua University, Institute of Human Factos and Ergonomics, Beijing, China
- Jun Liu 0017 — Singapore Management University, Singapore (and 1 more)
- Jun Liu 0018 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Liu 0019 — Quijing Normal University, College of Mathematics and Information Science, Quijing, China
- Jun Liu 0020 — Nanyang Technological University, Singapore
- Jun Liu 0021 — Guangxi University, Nanning, China
- Jun Liu 0022 — Iowa State University, Ames, IA, USA
- Jun Liu 0023 — University of Bremen, Germany
- Jun Liu 0024 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Jun Liu 0025 — Jackson State University, Jackson, MS, USA (and 1 more)
- Jun Liu 0026 — Hangzhou Dianzi University, College of Automation, Hangzhou, China (and 1 more)
- Jun Liu 0027 — Hangzhou Dianzi University, Key Laboratory of RF Circuits and Systems, Hangzhou, China (and 1 more)
- Jun Liu 0028 — Dakota State University, Madison, SD, USA
- Jun Liu 0029 — Beijing Normal University, School of Mathematical Sciences, MoE Laboratory of Mathematics and Complex Systems, China
- Jun Liu 0030 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Jun Liu 0031 — Chinese Academy of Railway Sciences, Beijing, China (and 1 more)
- Jun Liu 0032 — Dakota State University, College of Business and Information Systems, Madison, SD, USA (and 2 more)
- Jun Liu 0033 — Northeastern University, Shenyang, China
- Jun Liu 0034 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Jun Liu 0035 — Tsinghua University, Beijing, China (and 1 more)
- Jun Liu 0036 — Singapore University of Technology and Design (and 2 more)
- Jun Liu 0037 — Columbia University, Department of Psychiatry, New York, NY, USA
- Jun Liu 0038 — Linear Technology, Milpitas, CA, USA (and 1 more)
- Jun Liu 0039 — Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
- Jun Liu 0040 — Naval Aeronautical and Astronautical University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0041 — Southwest University, School of Engineering and Technology, Chongqing, China
- Jun Liu 0042 — Chongqing University, Key Laboratory of Optoelectronics Technology and Systems / College of Optoelectronic Engineering, China
- Jun Liu 0043 — Ohio State University, Department of Biomedical Engineering, Columbus, OH, USA
- Jun Liu 0044 — Chongqing University of Posts and Telecommunications, College of Software Engineering, China (and 1 more)
- Jun Liu 0045 — Technical University of Berlin, Germany
- Jun Liu 0046 — Chengdu University of Information Technology, School of Control Engineering, China (and 1 more)
- Jun Liu 0047 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Jun Liu 0048 — National University of Defense Technology, College of Meteorology and Oceanology, Changsha, China
- Jun Liu 0049 — Nanjing University of Information Science & Technology, School of Computer & Software / Jiangsu Engineering Center of Network Monitoring, China
- Jun Liu 0050 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0051 — Chongqing University of Posts and Telecommunications, Department of Optoelectronics Engineering, China
- Jun Liu 0052 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Liu 0053 — Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China (and 1 more)
- Jun Liu 0054 — University of Birmingham, School of Metallurgy and Materials, Birmingham, UK
- Jun Liu 0055 — Qingdao Agricultural University, Qingdao, China (and 1 more)
- Jun Liu 0056 — Beijing Foreign Studies University, International Business School, Beijing, China
- Jun Liu 0057 — Jiangxi University of Finance and Economics, School of Statistics, Nanchang, China
- Jun Liu 0058 — Xi'an University of Technology, College of Automation, Xi'an, China
- Jun Liu 0059 — Chinese Academy of Sciences, Computer Network and Information Center, Beijing, China
- Jun Liu 0060 — Virginia Tech, Blacksburg, VA, USA
- Jun Liu 0061 — Beijing Jiaotong University, School of Traffic and Transportation, Beijing, China
- Jun Liu 0062 — University of Copenhagen, Denmark
- Jun Liu 0063 — Peking University, School of Electronics Engineering and Computer Science, Center for Energy-Efficient Computing and Applications, Beijing, China
- Jun Liu 0064 — China University of Petroleum, College of Science, Qingdao, China (and 1 more)
- Jun Liu 0065 — Qujing Normal University, Institute of Applied Mathematics, China
- Jun Liu 0066 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Jun Liu 0067 — Northeastern University, School of Sciences, Shenyang, China
- Jun Liu 0069 — Nanyang Technological University, Singapore
- Jun Liu 0070 — Hefei University of Technology, School of Computer and Information, China
- Jun Liu 0071 — University of Macau, Zhuhai, Macau
- Jun Liu 0072 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, LIESMARS, China
- Jun Liu 0073 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Hubei, China
- Jun Liu 0074 — University of New South Wales, Sydney, NSW, Australia
- Jun Liu 0075 — Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China
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Journal Articles
- 2024
[j27]Jingyi Cao, Yanan You, Chao Li, Jun Liu:
TSK: A Trustworthy Semantic Keypoint Detector for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024)- [j26]Yang Xiao, Yuqian Song, Jun Liu:
Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks. IEEE Trans. Wirel. Commun. 23(6): 6653-6668 (2024) - 2023
- [j25]Yang Xiao, Jianxue Li, Jiawei Wu, Jun Liu:
On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks. IEEE Commun. Lett. 27(1): 205-209 (2023) - [j24]Yang Xiao, Yuqian Song, Jun Liu:
Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things. IEEE Trans. Wirel. Commun. 22(8): 5414-5430 (2023) - 2022
- [j23]Ruoning Song, Chuang Zhu, Long Zhang, Tong Zhang, Yihao Luo, Jun Liu, Jie Yang:
Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image. Appl. Intell. 52(10): 11738-11754 (2022) - 2021
- [j22]Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari:
Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey. IEEE Commun. Surv. Tutorials 23(4): 2064-2097 (2021) - [j21]Jingfei Huang, Yang Yang, Gang He, Yang Xiao, Jun Liu:
Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks. IEEE Commun. Lett. 25(8): 2614-2618 (2021) - [j20]Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin:
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. Neurocomputing 438: 165-183 (2021) - 2020
- [j19]Long Zhang, Ruoning Song, Yuanyuan Wang, Chuang Zhu, Jun Liu, Jie Yang, Lian Liu:
Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion. IEEE Access 8: 45715-45725 (2020) - [j18]Ruoning Song, Long Zhang, Chuang Zhu, Jun Liu, Jie Yang, Tong Zhang:
Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network. IEEE Access 8: 64064-64074 (2020) - [j17]Ying Wang, Ting Peng, Jiajia Duan, Chuang Zhu, Jun Liu, Jiandong Ye, Mulan Jin:
Pathological Image Classification Based on Hard Example Guided CNN. IEEE Access 8: 114249-114258 (2020) - [j16]Jun Liu, Yuan Tian, Yu Zhou, Yang Xiao, Nirwan Ansari:
Privacy preserving distributed data mining based on secure multi-party computation. Comput. Commun. 153: 208-216 (2020) - 2019
- [j15]Mucong Chi, Dazhong He, Jun Liu:
Exploring Various Levels of Parallelism in High-Performance CRC Algorithms. IEEE Access 7: 32315-32326 (2019) - [j14]Jun Liu, Jiasheng Wang, Yu Zhou, Fang Liu:
A Cloud Server Oriented FPGA Accelerator for LSTM Recurrent Neural Network. IEEE Access 7: 122408-122418 (2019) - [j13]Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo, Jun Liu:
Breast cancer histopathology image classification through assembling multiple compact CNNs. BMC Medical Informatics Decis. Mak. 19(1): 198:1-198:17 (2019) - 2018
- [j12]Dazhong He, Zhenhua Wang, Jun Liu:
A Survey to Predict the Trend of AI-able Server Evolution in the Cloud. IEEE Access 6: 10591-10602 (2018) - [j11]Jun Liu, Wenyao Zheng, Zheng Lin, Nan Lin:
Accurate Quantile Estimation for Skewed Data Streams Using Nonlinear Interpolation. IEEE Access 6: 28438-28446 (2018) - [j10]Dazhong He, Yang Yang, Jun Liu:
A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data. IEEE Access 6: 45886-45898 (2018) - [j9]Cheng Fang, Jun Liu, Nirwan Ansari:
Revealing connectivity structural patterns among web objects based on co-clustering of bipartite request dependency graph. Wirel. Networks 24(2): 439-451 (2018) - 2017
- [j8]Qiujian Lv, Yuanyuan Qiao, Nirwan Ansari, Jun Liu, Jie Yang:
Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest. IEEE Trans. Veh. Technol. 66(6): 5204-5216 (2017) - 2016
- [j7]Jun Liu, Yang Liang, Nirwan Ansari:
Spark-Based Large-Scale Matrix Inversion for Big Data Processing. IEEE Access 4: 2166-2176 (2016) - [j6]Cheng Fang, Jun Liu, Zhenming Lei:
Fine-Grained HTTP Web Traffic Analysis Based on Large-Scale Mobile Datasets. IEEE Access 4: 4364-4373 (2016) - [j5]Jun Liu, Cheng Fang, Nirwan Ansari:
Request Dependency Graph: A Model for Web Usage Mining in Large-Scale Web of Things. IEEE Internet Things J. 3(4): 598-608 (2016) - 2015
- [j4]Jun Liu, Nan Chang, Sanguo Zhang, Zhenming Lei:
Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis. Int. J. Commun. Syst. 28(12): 1884-1897 (2015) - [j3]Yufei Di, Yuanyuan Qiao, Jie Yang, Jun Liu:
A Diffusion Mechanism over Interest-based Communities in Mobile Internet. EAI Endorsed Trans. Self Adapt. Syst. 1(2): e5 (2015) - 2014
- [j2]Jun Liu, Nirwan Ansari:
Identifying website communities in mobile internet based on affinity measurement. Comput. Commun. 41: 22-30 (2014) - [j1]Jun Liu, Feng Liu, Nirwan Ansari:
Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop. IEEE Netw. 28(4): 32-39 (2014)
Conference and Workshop Papers
- 2023
- [c35]Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu:
Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. GLOBECOM 2023: 5208-5213 - [c34]Jingyi Cao, Yanan You, Songzhi Gao, Jun Liu:
CloudLoc-NeRF: Point-cloud Assisted Volume Location for Neural Radiance Fields. IGARSS 2023: 7007-7010 - [c33]Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu:
GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. PIMRC 2023: 1-7 - 2022
- [c32]Yang Xiao, Yuqian Song, Jun Liu:
Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning. ICC 2022: 4056-4061 - [c31]Jingyi Cao, Yanan You, Le Xia, Jun Liu:
Make Object Connect: A Pose Estimation Network for UAV Images of the Outdoor Scene. IGARSS 2022: 7827-7830 - [c30]Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu:
Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. PIMRC 2022: 313-319 - [c29]Jianxue Li, Yang Xiao, Jiawei Wu, Yaozhi Chen, Jun Liu:
Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation. PIMRC 2022: 800-806 - [c28]Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu:
Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. WCNC 2022: 1021-1026 - 2021
- [c27]Yang Xiao, Jiawei Wu, Jun Liu:
Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach. GLOBECOM 2021: 1-6 - [c26]Qingchao Zeng, Jun Liu, Dongya Yang, Yichuan He, Xue Sun, Ruixiang Li, Fang Wang:
Machine Learning Based Automatic Sport Event Detection and Counting. IC-NIDC 2021: 16-20 - [c25]Jianxue Li, Yang Xiao, Jiawei Wu, Jialong Feng, Jun Liu:
Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network. IC-NIDC 2021: 235-239 - [c24]Da Liu, Wenjun Zhang, Yonggang Qi, Fang Liu, Jun Liu, Junlong Ren, Yu Wang, Zehao Wang:
Auxiliary Smart Glasses for Visually Impaired People Based on Two-dimensional Code Positioning. IC-NIDC 2021: 279-283 - 2020
- [c23]Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao:
Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. ICASSP 2020: 1424-1428 - 2019
- [c22]Yu Zhou, Yuan Tian, Fang Liu, Jun Liu, Yan Zhu:
Privacy Preserving Distributed Data Mining Based on Secure Multi-party Computation. ICAIT 2019: 173-178 - [c21]Wutong Zhang, Chuang Zhu, Jun Liu, Ying Wang, Mulan Jin:
Cancer Metastasis Detection Through Multiple Spatial Context Network. ICCPR 2019: 221-225 - [c20]Jun Liu, Yang Xiao, Jiawei Wu:
From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving. IOV 2019: 64-75 - 2018
- [c19]Yao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu:
Breast Cancer Histology Image Classification Based on Deep Neural Networks. ICIAR 2018: 827-836 - [c18]Xingyuan Wu, Yonggang Qi, Jun Liu, Jie Yang:
Sketchsegnet: A Rnn Model for Labeling Sketch Strokes. MLSP 2018: 1-6 - [c17]Yanting Zhang, Ziheng Wang, Yonggang Qi, Jun Liu, Jie Yang:
CTSD: A Dataset for Traffic Sign Recognition in Complex Real-World Images. VCIP 2018: 1-4 - [c16]Mucong Chi, Dazhong He, Jun Liu:
Fast Software-based Table-less Algorithm for CRC Generation. WPMC 2018: 544-549 - 2017
- [c15]Mucong Chi, Jun Liu:
VACA: A high-performance variable-length adaptive CRC algorithm. PIMRC 2017: 1-6 - [c14]Zheng Lin, Jun Liu, Nan Lin:
Accurate quantile estimation for skewed data streams. PIMRC 2017: 1-7 - [c13]Xinru Wei, Yonggang Qi, Jun Liu, Fang Liu:
Image retrieval by dense caption reasoning. VCIP 2017: 1-4 - 2016
- [c12]Yonggang Qi, Yi-Zhe Song, Honggang Zhang, Jun Liu:
Sketch-based image retrieval via Siamese convolutional neural network. ICIP 2016: 2460-2464 - [c11]Han Deng, Yonggang Qi, Jun Liu, Jie Yang:
Analysis of mobile subscribers' behavior pattern based on non-negative matrix factorization. IC-NIDC 2016: 180-185 - [c10]Yang Liang, Jun Liu, Cheng Fang, Nirwan Ansari:
Spark-based large-scale matrix inversion for big data processing. INFOCOM Workshops 2016: 718-723 - [c9]Ziheng Wang, Yonggang Qi, Jun Liu, Zhanyu Ma:
User intention understanding from scratch. SPLINE 2016: 1-4 - 2015
- [c8]Jun Liu, Yutan Du, Jie Yang, Nirwan Ansari:
SONAR: A scalable stream-oriented system for real-time network traffic measurements. HPSR 2015: 158-163 - [c7]Yufei Di, Yuanyuan Qiao, Jie Yang, Jun Liu:
A diffusion mechanism over interest-based communities in Mobile Internet. QSHINE 2015: 110-114 - 2014
- [c6]Shu Sun, Fang Liu, Jun Liu, Yinan Dou, Hua Yu:
Web Classification Using Deep Belief Networks. CSE 2014: 768-773 - [c5]Jun Liu, Cheng Fang, Nirwan Ansari:
Identifying user clicks based on dependency graph. WOCC 2014: 1-5 - [c4]Yan Meng, Jun Liu, Zhenming Lei:
Classification of unknown mobile web traffic based on correlation coefficient measurement. WPMC 2014: 6-11 - 2013
- [c3]Zhengxiang Ke, Jun Liu, Dazhong He, Qing Yan:
Toward scalable and high performance data processing for Cellular Data Network. ICCT 2013: 393-397 - [c2]Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng:
Analysis of smartphone traffic with MapReduce. WOCC 2013: 394-398 - [c1]Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng:
Characterizing smartphone traffic with MapReduce. WPMC 2013: 1-5
Parts in Books or Collections
- 2020
- [p1]Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu:
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. Precision Health and Medicine 2020: 149-157
Informal and Other Publications
- 2021
- [i5]Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, Mulan Jin:
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. CoRR abs/2112.02222 (2021) - 2020
- [i4]Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao:
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning. CoRR abs/2002.08587 (2020) - [i3]Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu:
Towards Cognitive Routing based on Deep Reinforcement Learning. CoRR abs/2003.12439 (2020) - [i2]Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin:
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. CoRR abs/2006.15954 (2020) - 2019
- [i1]Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu:
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. CoRR abs/1902.05431 (2019)
Coauthor Index
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last updated on 2024-08-20 22:53 CEST by the dblp team
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