Jun Liu

According to our database, Jun Liu authored at least 62 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TSK: A Trustworthy Semantic Keypoint Detector for Remote Sensing Images.

Jingyi Cao, Yanan You, Chao Li, Jun Liu

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things.

Yang Xiao, Yuqian Song, Jun Liu

IEEE Trans. Wirel. Commun., August, 2023

On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks.

Yang Xiao, Jianxue Li, Jiawei Wu, Jun Liu

IEEE Commun. Lett., January, 2023

GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm.

Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

CloudLoc-NeRF: Point-cloud Assisted Volume Location for Neural Radiance Fields.

Jingyi Cao, Yanan You, Songzhi Gao, Jun Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image.

Ruoning Song, Chuang Zhu, Long Zhang, Tong Zhang, Yihao Luo, Jun Liu, Jie Yang

Appl. Intell., 2022

Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks.

Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication.

Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Make Object Connect: A Pose Estimation Network for UAV Images of the Outdoor Scene.

Jingyi Cao, Yanan You, Le Xia, Jun Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning.

Yang Xiao, Yuqian Song, Jun Liu

Proceedings of the IEEE International Conference on Communications, 2022

2021

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet.

Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin

Neurocomputing, 2021

Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks.

Jingfei Huang, Yang Yang, Gang He, Yang Xiao, Jun Liu

IEEE Commun. Lett., 2021

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides.

Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, Mulan Jin

CoRR, 2021

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey.

Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari

IEEE Commun. Surv. Tutorials, 2021

Machine Learning Based Automatic Sport Event Detection and Counting.

Qingchao Zeng, Jun Liu, Dongya Yang, Yichuan He, Xue Sun, Ruixiang Li, Fang Wang

Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Auxiliary Smart Glasses for Visually Impaired People Based on Two-dimensional Code Positioning.

Da Liu, Wenjun Zhang, Yonggang Qi, Fang Liu, Jun Liu, Junlong Ren, Yu Wang, Zehao Wang

Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network.

Jianxue Li, Yang Xiao, Jiawei Wu, Jialong Feng, Jun Liu

Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach.

Yang Xiao, Jiawei Wu, Jun Liu

Proceedings of the IEEE Global Communications Conference, 2021

2020

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image.

Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Towards Cognitive Routing based on Deep Reinforcement Learning.

Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu

CoRR, 2020

Privacy preserving distributed data mining based on secure multi-party computation.

Jun Liu, Yuan Tian, Yu Zhou, Yang Xiao, Nirwan Ansari

Comput. Commun., 2020

Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion.

Long Zhang, Ruoning Song, Yuanyuan Wang, Chuang Zhu, Jun Liu, Jie Yang, Lian Liu

IEEE Access, 2020

Pathological Image Classification Based on Hard Example Guided CNN.

Ying Wang, Ting Peng, Jiajia Duan, Chuang Zhu, Jun Liu, Jiandong Ye, Mulan Jin

IEEE Access, 2020

Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network.

Ruoning Song, Long Zhang, Chuang Zhu, Jun Liu, Jie Yang, Tong Zhang

IEEE Access, 2020

Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning.

Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Breast cancer histopathology image classification through assembling multiple compact CNNs.

Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo, Jun Liu

BMC Medical Informatics Decis. Mak., 2019

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image.

Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu

CoRR, 2019

A Cloud Server Oriented FPGA Accelerator for LSTM Recurrent Neural Network.

Jun Liu, Jiasheng Wang, Yu Zhou, Fang Liu

IEEE Access, 2019

Exploring Various Levels of Parallelism in High-Performance CRC Algorithms.

Mucong Chi, Dazhong He, Jun Liu

IEEE Access, 2019

From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving.

Jun Liu, Yang Xiao, Jiawei Wu

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Cancer Metastasis Detection Through Multiple Spatial Context Network.

Wutong Zhang, Chuang Zhu, Jun Liu, Ying Wang, Mulan Jin

Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Privacy Preserving Distributed Data Mining Based on Secure Multi-party Computation.

Yu Zhou, Yuan Tian, Fang Liu, Jun Liu, Yan Zhu

Proceedings of the 11th IEEE International Conference on Advanced Infocomm Technology, 2019

2018

Revealing connectivity structural patterns among web objects based on co-clustering of bipartite request dependency graph.

Cheng Fang, Jun Liu, Nirwan Ansari

Wirel. Networks, 2018

Accurate Quantile Estimation for Skewed Data Streams Using Nonlinear Interpolation.

Jun Liu, Wenyao Zheng, Zheng Lin, Nan Lin

IEEE Access, 2018

A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data.

Dazhong He, Yang Yang, Jun Liu

IEEE Access, 2018

A Survey to Predict the Trend of AI-able Server Evolution in the Cloud.

Dazhong He, Zhenhua Wang, Jun Liu

IEEE Access, 2018

Fast Software-based Table-less Algorithm for CRC Generation.

Mucong Chi, Dazhong He, Jun Liu

Proceedings of the 21st International Symposium on Wireless Personal Multimedia Communications, 2018

CTSD: A Dataset for Traffic Sign Recognition in Complex Real-World Images.

Yanting Zhang, Ziheng Wang, Yonggang Qi, Jun Liu, Jie Yang

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Sketchsegnet: A Rnn Model for Labeling Sketch Strokes.

Xingyuan Wu, Yonggang Qi, Jun Liu, Jie Yang

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Breast Cancer Histology Image Classification Based on Deep Neural Networks.

Yao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest.

Qiujian Lv, Yuanyuan Qiao, Nirwan Ansari, Jun Liu, Jie Yang

IEEE Trans. Veh. Technol., 2017

Image retrieval by dense caption reasoning.

Xinru Wei, Yonggang Qi, Jun Liu, Fang Liu

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Accurate quantile estimation for skewed data streams.

Zheng Lin, Jun Liu, Nan Lin

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

VACA: A high-performance variable-length adaptive CRC algorithm.

Mucong Chi, Jun Liu

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016

Request Dependency Graph: A Model for Web Usage Mining in Large-Scale Web of Things.

Jun Liu, Cheng Fang, Nirwan Ansari

IEEE Internet Things J., 2016

Spark-Based Large-Scale Matrix Inversion for Big Data Processing.

Jun Liu, Yang Liang, Nirwan Ansari

IEEE Access, 2016

Fine-Grained HTTP Web Traffic Analysis Based on Large-Scale Mobile Datasets.

Cheng Fang, Jun Liu, Zhenming Lei

IEEE Access, 2016

User intention understanding from scratch.

Ziheng Wang, Yonggang Qi, Jun Liu, Zhanyu Ma

Proceedings of the First International Workshop on Sensing, 2016

Spark-based large-scale matrix inversion for big data processing.

Yang Liang, Jun Liu, Cheng Fang, Nirwan Ansari

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Analysis of mobile subscribers' behavior pattern based on non-negative matrix factorization.

Han Deng, Yonggang Qi, Jun Liu, Jie Yang

Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

Sketch-based image retrieval via Siamese convolutional neural network.

Yonggang Qi, Yi-Zhe Song, Honggang Zhang, Jun Liu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A Diffusion Mechanism over Interest-based Communities in Mobile Internet.

Yufei Di, Yuanyuan Qiao, Jie Yang, Jun Liu

EAI Endorsed Trans. Self Adapt. Syst., 2015

Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis.

Jun Liu, Nan Chang, Sanguo Zhang, Zhenming Lei

Int. J. Commun. Syst., 2015

SONAR: A scalable stream-oriented system for real-time network traffic measurements.

Jun Liu, Yutan Du, Jie Yang, Nirwan Ansari

Proceedings of the 16th IEEE International Conference on High Performance Switching and Routing, 2015

2014

Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop.

Jun Liu, Feng Liu, Nirwan Ansari

IEEE Netw., 2014

Identifying website communities in mobile internet based on affinity measurement.

Jun Liu, Nirwan Ansari

Comput. Commun., 2014

Classification of unknown mobile web traffic based on correlation coefficient measurement.

Yan Meng, Jun Liu, Zhenming Lei

Proceedings of the 2014 International Symposium on Wireless Personal Multimedia Communications, 2014

Identifying user clicks based on dependency graph.

Jun Liu, Cheng Fang, Nirwan Ansari

Proceedings of the 23rd Wireless and Optical Communication Conference, 2014

Web Classification Using Deep Belief Networks.

Shu Sun, Fang Liu, Jun Liu, Yinan Dou, Hua Yu

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013

Characterizing smartphone traffic with MapReduce.

Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng

Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

Analysis of smartphone traffic with MapReduce.

Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng

Proceedings of the 22nd Wireless and Optical Communication Conference, 2013

Toward scalable and high performance data processing for Cellular Data Network.

Zhengxiang Ke, Jun Liu, Dazhong He, Qing Yan

Proceedings of the 15th IEEE International Conference on Communication Technology, 2013