Jun Liu - RankMe

84 papers B 14C 7Misc 1Journal 41Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Sacrifice for QoS-Aware Routing: A Graph Reinforcement Learning Approach. IEEE Trans. Mob. Comput. Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2026	J	`jnl`	Constrained Probabilistic Routing With RouterRL: A General Packet-Level Network Simulation Framework. IEEE Trans. Netw. Sci. Eng. Guocheng Lin, Yang Xiao, Shudan Yu, Ke Yu, Jun Liu
2026	J	`jnl`	QoS-Aware and Low-Cost Routing Optimization With Graph Reinforcement Learning in Hybrid Knowledge-Defined Networking. IEEE Trans. Cogn. Commun. Netw. Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2026	J	`jnl`	ST-VA-AR: Learning velocity-aware action representations with mixture of spatiotemporal attention. Pattern Recognit. Jiangning Wei, Bo Yu, Ke Li, Lan Yang, Dandan Xiao, Jun Liu
2026	J	`jnl`	Workload-Aware Routing Optimization via Graph Reinforcement Learning for Joint Delay Minimization in Edge-Cloud Networks. IEEE Internet Things J. Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2025	J	`jnl`	Adaptive Joint Routing and Caching in Knowledge-Defined Networking: An Actor-Critic Deep Reinforcement Learning Approach. IEEE Trans. Mob. Comput. Yang Xiao, Huihan Yu, Ying Yang, Yixing Wang, Jun Liu, Nirwan Ansari
2025	B	`conf`	Constraint-Aware Probabilistic Packet Forwarding Based on Deep Reinforcement Learning. Networking Guocheng Lin, Yang Xiao, Jun Liu
2025	J	`jnl`	Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multiagent Deep Reinforcement Learning. IEEE Internet Things J. Yuqian Song, Yang Xiao, Jun Liu
2025	J	`jnl`	Enabling Robust and Generalized DRL-Driven Routing Optimization Via Exploration of Graph Neural Networks. IEEE Trans. Cogn. Commun. Netw. Yuqian Song, Jingli Zhou, Xinyuan Li, Jun Liu
2025	B	`conf`	PVD-TD3: A Latency-Oriented Multi-Agent Reinforcement Learning Algorithm for Multipath Routing in DetNet. Networking Ying Yang, Yang Xiao, Jun Liu
2024	—	`conf`	CGTR: Leveraging Contrastive Learning and Graph Transformer for Deep Reinforcement Learning Based Robust Routing. ICC Xinyuan Li, Junze Li, Yang Xiao, Sixu Liu, Jun Liu
2024	J	`jnl`	Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks. IEEE Trans. Wirel. Commun. Yang Xiao, Yuqian Song, Jun Liu
2024	B	`conf`	Link2Link: A Robust Probabilistic Routing Algorithm via Edge-centric Graph Reinforcement Learning. CNSM Jingli Zhou, Yuqian Song, Xinyuan Li, Wenli Zhou, Jun Liu
2024	C	`conf`	MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Matching. IGARSS Jingyi Cao, Yanan You, Jun Liu
2024	B	`conf`	PPO-TEGN: Towards Robust Deep Reinforcement Learning-based Routing Algorithm. GLOBECOM Junze Li, Xinyuan Li, Ke Yu, Jun Liu
2024	J	`jnl`	Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking With Multiagent Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Yang Xiao, Ying Yang, Huihan Yu, Jun Liu
2024	J	`jnl`	TSK: A Trustworthy Semantic Keypoint Detector for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Jingyi Cao, Yanan You, Chao Li, Jun Liu
2023	C	`conf`	CloudLoc-NeRF: Point-cloud Assisted Volume Location for Neural Radiance Fields. IGARSS Jingyi Cao, Yanan You, Songzhi Gao, Jun Liu
2023	B	`conf`	Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. GLOBECOM Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu
2023	B	`conf`	Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4. CNSM Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu
2023	B	`conf`	GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. PIMRC Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu
2023	J	`jnl`	Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things. IEEE Trans. Wirel. Commun. Yang Xiao, Yuqian Song, Jun Liu
2023	J	`jnl`	On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks. IEEE Commun. Lett. Yang Xiao, Jianxue Li, Jiawei Wu, Jun Liu
2022	B	`conf`	Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation. PIMRC Jianxue Li, Yang Xiao, Jiawei Wu, Yaozhi Chen, Jun Liu
2022	B	`conf`	Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. WCNC Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu
2022	B	`conf`	Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. PIMRC Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu
2022	J	`jnl`	Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image. Appl. Intell. Ruoning Song, Chuang Zhu, Long Zhang, Tong Zhang, Yihao Luo, Jun Liu, Jie Yang
2022	C	`conf`	Make Object Connect: A Pose Estimation Network for UAV Images of the Outdoor Scene. IGARSS Jingyi Cao, Yanan You, Le Xia, Jun Liu
2022	—	`conf`	Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning. ICC Yang Xiao, Yuqian Song, Jun Liu
2021	—	`conf`	Auxiliary Smart Glasses for Visually Impaired People Based on Two-dimensional Code Positioning. IC-NIDC Da Liu, WenJun Zhang, Yonggang Qi, Fang Liu, Jun Liu, Junlong Ren, Yu Wang, Zehao Wang
2021	J	`jnl`	Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks. IEEE Commun. Lett. Jingfei Huang, Yang Yang, Gang He, Yang Xiao, Jun Liu
2021	J	`jnl`	Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey. IEEE Commun. Surv. Tutorials Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari
2021	—	`conf`	Machine Learning Based Automatic Sport Event Detection and Counting. IC-NIDC Qingchao Zeng, Jun Liu, Dongya Yang, Yichuan He, Xue Sun, Ruixiang Li, Fang Wang
2021	J	`jnl`	Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. Neurocomputing Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin
2021	—	`conf`	Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network. IC-NIDC Jianxue Li, Yang Xiao, Jiawei Wu, Jialong Feng, Jun Liu
2021	B	`conf`	Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach. GLOBECOM Yang Xiao, Jiawei Wu, Jun Liu
2021	J	`jnl`	Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. CoRR Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, Mulan Jin
2020	Misc	`conf`	Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. ICASSP Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao
2020	J	`jnl`	Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning. CoRR Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao
2020	—	`ch.`	Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. Precision Health and Medicine Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu
2020	J	`jnl`	Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion. IEEE Access Long Zhang, Ruoning Song, Yuanyuan Wang, Chuang Zhu, Jun Liu, Jie Yang, Lian Liu
2020	J	`jnl`	Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. CoRR Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin
2020	J	`jnl`	Pathological Image Classification Based on Hard Example Guided CNN. IEEE Access Ying Wang, Ting Peng, Jiajia Duan, Chuang Zhu, Jun Liu, Jiandong Ye, Mulan Jin
2020	J	`jnl`	Privacy preserving distributed data mining based on secure multi-party computation. Comput. Commun. Jun Liu, Yuan Tian, Yu Zhou, Yang Xiao, Nirwan Ansari
2020	J	`jnl`	Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network. IEEE Access Ruoning Song, Long Zhang, Chuang Zhu, Jun Liu, Jie Yang, Tong Zhang
2020	J	`jnl`	Towards Cognitive Routing based on Deep Reinforcement Learning. CoRR Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu
2019	J	`jnl`	A Cloud Server Oriented FPGA Accelerator for LSTM Recurrent Neural Network. IEEE Access Jun Liu, Jiasheng Wang, Yu Zhou, Fang Liu
2019	J	`jnl`	Breast cancer histopathology image classification through assembling multiple compact CNNs. BMC Medical Informatics Decis. Mak. Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo, Jun Liu
2019	—	`conf`	Cancer Metastasis Detection Through Multiple Spatial Context Network. ICCPR Wutong Zhang, Chuang Zhu, Jun Liu, Ying Wang, Mulan Jin
2019	J	`jnl`	Exploring Various Levels of Parallelism in High-Performance CRC Algorithms. IEEE Access Mucong Chi, Dazhong He, Jun Liu
2019	—	`conf`	From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving. IOV Jun Liu, Yang Xiao, Jiawei Wu
2019	J	`jnl`	Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. CoRR Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu
2019	—	`conf`	Privacy Preserving Distributed Data Mining Based on Secure Multi-party Computation. ICAIT Yu Zhou, Yuan Tian, Fang Liu, Jun Liu, Yan Zhu
2018	J	`jnl`	A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data. IEEE Access Dazhong He, Yang Yang, Jun Liu
2018	J	`jnl`	A Survey to Predict the Trend of AI-able Server Evolution in the Cloud. IEEE Access Dazhong He, Zhenhua Wang, Jun Liu
2018	J	`jnl`	Accurate Quantile Estimation for Skewed Data Streams Using Nonlinear Interpolation. IEEE Access Jun Liu, Wenyao Zheng, Zheng Lin, Nan Lin
2018	—	`conf`	Breast Cancer Histology Image Classification Based on Deep Neural Networks. ICIAR Yao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu
2018	C	`conf`	CTSD: A Dataset for Traffic Sign Recognition in Complex Real-World Images. VCIP Yanting Zhang, Ziheng Wang, Yonggang Qi, Jun Liu, Jie Yang
2018	—	`conf`	Fast Software-based Table-less Algorithm for CRC Generation. WPMC Mucong Chi, Dazhong He, Jun Liu
2018	J	`jnl`	Revealing connectivity structural patterns among web objects based on co-clustering of bipartite request dependency graph. Wirel. Networks Cheng Fang, Jun Liu, Nirwan Ansari
2018	—	`conf`	Sketchsegnet: A Rnn Model for Labeling Sketch Strokes. MLSP Xingyuan Wu, Yonggang Qi, Jun Liu, Jie Yang
2017	B	`conf`	Accurate quantile estimation for skewed data streams. PIMRC Zheng Lin, Jun Liu, Nan Lin
2017	J	`jnl`	Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest. IEEE Trans. Veh. Technol. Qiujian Lv, Yuanyuan Qiao, Nirwan Ansari, Jun Liu, Jie Yang
2017	C	`conf`	Image retrieval by dense caption reasoning. VCIP Xinru Wei, Yonggang Qi, Jun Liu, Fang Liu
2017	B	`conf`	VACA: A high-performance variable-length adaptive CRC algorithm. PIMRC Mucong Chi, Jun Liu
2016	—	`conf`	Analysis of mobile subscribers' behavior pattern based on non-negative matrix factorization. IC-NIDC Han Deng, Yonggang Qi, Jun Liu, Jie Yang
2016	J	`jnl`	Fine-Grained HTTP Web Traffic Analysis Based on Large-Scale Mobile Datasets. IEEE Access Cheng Fang, Jun Liu, Zhenming Lei
2016	J	`jnl`	Request Dependency Graph: A Model for Web Usage Mining in Large-Scale Web of Things. IEEE Internet Things J. Jun Liu, Cheng Fang, Nirwan Ansari
2016	B	`conf`	Sketch-based image retrieval via Siamese convolutional neural network. ICIP Yonggang Qi, Yi-Zhe Song, Honggang Zhang, Jun Liu
2016	J	`jnl`	Spark-Based Large-Scale Matrix Inversion for Big Data Processing. IEEE Access Jun Liu, Yang Liang, Nirwan Ansari
2016	—	`conf`	Spark-based large-scale matrix inversion for big data processing. INFOCOM Workshops Yang Liang, Jun Liu, Cheng Fang, Nirwan Ansari
2016	—	`conf`	User intention understanding from scratch. SPLINE Ziheng Wang, Yonggang Qi, Jun Liu, Zhanyu Ma
2015	J	`jnl`	A Diffusion Mechanism over Interest-based Communities in Mobile Internet. EAI Endorsed Trans. Self Adapt. Syst. Yufei Di, Yuanyuan Qiao, Jie Yang, Jun Liu
2015	C	`conf`	A diffusion mechanism over interest-based communities in Mobile Internet. QSHINE Yufei Di, Yuanyuan Qiao, Jie Yang, Jun Liu
2015	J	`jnl`	Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis. Int. J. Commun. Syst. Jun Liu, Nan Chang, Sanguo Zhang, Zhenming Lei
2015	C	`conf`	SONAR: A scalable stream-oriented system for real-time network traffic measurements. HPSR Jun Liu, Yutan Du, Jie Yang, Nirwan Ansari
2014	—	`conf`	Classification of unknown mobile web traffic based on correlation coefficient measurement. WPMC Yan Meng, Jun Liu, Zhenming Lei
2014	—	`conf`	Identifying user clicks based on dependency graph. WOCC Jun Liu, Cheng Fang, Nirwan Ansari
2014	J	`jnl`	Identifying website communities in mobile internet based on affinity measurement. Comput. Commun. Jun Liu, Nirwan Ansari
2014	J	`jnl`	Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop. IEEE Netw. Jun Liu, Feng Liu, Nirwan Ansari
2014	—	`conf`	Web Classification Using Deep Belief Networks. CSE Shu Sun, Fang Liu, Jun Liu, Yinan Dou, Hua Yu
2013	—	`conf`	Analysis of smartphone traffic with MapReduce. WOCC Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng
2013	—	`conf`	Characterizing smartphone traffic with MapReduce. WPMC Jie Yang, Shuo Zhang, Xinyu Zhang, Jun Liu, Gang Cheng
2013	—	`conf`	Toward scalable and high performance data processing for Cellular Data Network. ICCT Zhengxiang Ke, Jun Liu, Dazhong He, Qing Yan