René's URL Explorer Experiment


Title: 北京交通大学教师名录

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Domain: faculty.bjtu.edu.cn

Links:

http://faculty.bjtu.edu.cn/8530
中德联合软件研究所https://baike.baidu.com/item/%E4%B8%AD%E5%BE%B7%E8%81%94%E5%90%88%E8%BD%AF%E4%BB%B6%E7%A0%94%E7%A9%B6%E6%89%80/9161083
钱德沛教授http://www.casad.cas.cn/sourcedb_ad_cas/zw2/ysxx/xxjskxb/202201/t20220111_4821789.html
Prof. Holger Bochehttp://www.professoren.tum.de/en/boche-holger/
Prof. Baochun Lihttp://iqua.ece.toronto.edu/bli/
我组https://fangvv.github.io/Homepage/Edgecomp/#team
自主感知、定位与路径规划https://fangvv.github.io/Homepage/IndoorLoc/
边缘智能计算https://fangvv.github.io/Homepage/Edgecomp/
端侧边缘大模型https://fangvv.github.io/Homepage/llm/llm.html
北航https://scse.buaa.edu.cn/info/1079/7048.htm
FAQhttps://fangvv.github.io/Homepage/faq2.html
FAQhttps://fangvv.github.io/Homepage/faq.html
Synergy实验室https://dictionary.cambridge.org/zhs/%E8%AF%8D%E5%85%B8/%E8%8B%B1%E8%AF%AD/synergy
谷歌学术主页https://scholar.google.com/citations?user=xc5CaQEAAAAJ&hl=en
Github Profilehttps://github.com/fangvv
Zheng Songhttps://www.percom.club/people
EdgeATP: An Adaptive Tensor Parallelism Framework for Scalable and Efficient Transformer Inference on Edge Clustershttps://doi.org/10.1016/j.sysarc.2026.103861
Fei Richard Yuhttps://widgets.cae-acg.ca/feeds/directory/directory/action/Listing/value/11755/cid/1498/id/2201/Yu%2C-Fei-Richard
Joint Service Caching and Computation Offloading in Mobile Edge Networks: A Hierarchical DRL Approach with Active Inferencehttps://doi.org/10.1109/JIOT.2026.3695862
Code@Githubhttps://github.com/fangvv/HADRL
Automated Spatial-Temporal Graph Neural Network Search for Skeleton-based Human Action Recognition on Edge Deviceshttps://doi.org/10.1109/JIOT.2026.3692679
Networkinghttps://journal.hep.com.cn/networking/EN
Automated Design for Hardware-aware Graph Neural Networks on Edge Deviceshttps://doi.org/10.1109/TNSE.2025.3587645
Code@Githubhttps://github.com/fangvv/HWGNAS
Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Deviceshttps://doi.org/10.26599/BDMA.2024.9020093
Code@Githubhttps://github.com/fangvv/RSEE
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicleshttps://doi.org/10.1145/3715333
Efficient NPU-GPU Scheduling for Real-time Deep Learning Inference on Mobile Deviceshttps://doi.org/10.1007/s11554-025-01670-6
Efficient Deep Neural Network Compression for Environmental Sound Classification on Microcontroller Unitshttps://doi.org/10.55730/1300-0632.4084
Most Popular Papershttps://journals.tubitak.gov.tr/elektrik/topdownloads.html
An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms with Heterogeneous Processorshttps://doi.org/10.1109/JIOT.2024.3357898
EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clustershttps://dl.acm.org/doi/10.1145/3656041
TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Deviceshttps://doi.org/10.1109/JIOT.2023.3293506
Code@Githubhttps://github.com/fangvv/TLEE
http://paap.net.cn/2023/index.html
Model Parallelism Optimization for Distributed DNN Inference on Edge Deviceshttps://ieeexplore.ieee.org/document/10391646
https://online-journals.tubitak.gov.tr/elektrik/accepted.htm
https://online-journals.tubitak.gov.tr/elektrik/inpress.htm
Dynamic Deep Neural Network Inference via Adaptive Channel Skippinghttps://online-journals.tubitak.gov.tr/elektrik/abstract.htm?id=33114
Code@Githubhttps://github.com/fangvv/ACS
Deep Reinforcement Learning based Multi-task Automated Channel Pruning for DNNshttps://doi.org/10.1109/IJCNN54540.2023.10191092
Code@Githubhttps://github.com/fangvv/MTACP
https://tdxb.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=2177a162-3ed8-4f91-a319-3e053b9d4466#
https://tdxb.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=2177a162-3ed8-4f91-a319-3e053b9d4466#
https://tdxb.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a1bd9064-84c9-401f-a011-2c8d5959a11e
面向轨道缺陷检测的联邦学习轻量化模型训练技术研究https://kns.cnki.net/kcms/detail/detail.aspx?filename=TDXB202304009&dbname=cjfdtotal&dbcode=CJFD&v=MTg3MTZVTDdCTVNuVGJMRzRITkxNcTQ5RmJZUjZEZzgvemhZVTd6c09UM2lRclJjekZyQ1VSN21mYnVacEZpRGs=
Code@Githubhttps://github.com/fangvv/RTFD-Dataset
Classification-based Dynamic Network for Efficient Super-Resolutionhttps://ieeexplore.ieee.org/document/10096521
Code@Githubhttps://github.com/fangvv/CDNSR
Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clustershttp://dx.doi.org/10.1145/3551638
Code@Githubhttps://github.com/fangvv/EdgeDI
JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networkshttps://doi.org/10.1016/j.jpdc.2022.11.008
Code@Githubhttps://github.com/fangvv/JMDC
计算机专业产学合作协同育人的实践与思考https://gitee.com/fangvv/Homepage/raw/master/jiaogai1.pdf
基于知识蒸馏的目标检测模型增量深度学习方法http://dx.doi.org/10.15961/j.jsuese.202100925
Code@Githubhttps://github.com/fangvv/ILMIL
2024年被评为该刊高影响力论文https://fangvv.github.io/Homepage/jsuese.pdf
基于多智能体深度强化学习的车联网通信资源分配优化http://jdxb.bjtu.edu.cn/CN/abstract/abstract3830.shtml
Code@Githubhttps://github.com/fangvv/VN-MADDPG
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systemhttps://doi.org/10.1109/TBDATA.2018.2811501
广东省计算机学会优秀论文二等奖https://fangvv.github.io/Homepage/tbd.png
https://journals.tubitak.gov.tr/elektrik/abstract.htm?id=29866
An ADMM based Incentive Approach for Cooperative Data Analysis in Edge Computinghttps://online-journals.tubitak.gov.tr/elektrik/abstract.htm?id=29866
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computinghttps://doi.org/10.1016/j.asoc.2021.107636
Code@Githubhttps://github.com/fangvv/CPSCA
EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Deviceshttps://ieeexplore.ieee.org/document/9294146
Code@Githubhttps://github.com/fangvv/EdgeKE
Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approachhttps://link.springer.com/article/10.1007/s11276-021-02632-z
Code@Githubhttps://github.com/fangvv/UAV-DDPG
Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updatinghttps://doi.org/10.1109/ACCESS.2021.3063291
Code@Githubhttps://github.com/fangvv/FL-PQSU
EdgeLD: Locally Distributed Deep Learning Inference on Edge Device Clustershttps://ieeexplore.ieee.org/document/9408006
Code@Githubhttps://github.com/fangvv/EdgeLD
面向物联网隐私数据分析的分布式弹性网络回归学习算法http://jeit.ie.ac.cn/article/doi/10.11999/JEIT190739
Code@Githubhttps://github.com/fangvv/ElasticNetADMM
Phylogenetic relationships of Atractylodes lancea, A. chinensis and A. macrocephala, revealed by complete plastome and nuclear gene sequenceshttps://doi.org/10.1371/journal.pone.0227610
A Markov Approximation Algorithm for Computation Offloading and Resource Scheduling in Mobile Edge Computinghttps://link.springer.com/chapter/10.1007/978-981-15-1925-3_1
一种面向区块链的优化PBFT共识算法研究http://jdxb.bjtu.edu.cn/CN/abstract/abstract3543.shtml
媒体报道https://baijiahao.baidu.com/s?id=1651158771722704352
Code@Githubhttps://github.com/fangvv/SPBFT
OKRA: Optimal Task and Resource Allocation for Energy Minimization in Mobile Edge Computing Systemshttps://link.springer.com/article/10.1007/s11276-019-02000-y
Android Malware Identification based on Traffic Analysishttps://link.springer.com/chapter/10.1007/978-3-030-24274-9_26
A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computinghttp://www.techscience.com/cmc/v59n2/28084
Code@Githubhttps://github.com/fangvv/LassoADMM
Markov Approximation for Task Offloading and Computation Scaling in Mobile Edge Computinghttps://www.hindawi.com/journals/misy/2019/8172698/
移动边缘计算中分布式的设备发射功率优化算法http://zkxb.xjtu.edu.cn/oa/darticle.aspx?type=view&id=201812018
https://journals.tubitak.gov.tr/elektrik/abstract.htm?id=23622
A Distributed ADMM Approach for Energy-efficient Resource Allocation in Mobile Edge Computinghttps://online-journals.tubitak.gov.tr/elektrik/abstract.htm?id=23622
基于低功耗蓝牙信标的室内定位方法研究http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2018&filename=KJPL201805023&v=MDUzNTQ5SFo0UjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSTE9mWStSbkZDdm1XN3JMTGlmYllyRzRIOW5NcW8=
A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platformshttp://dx.doi.org/10.1109/TSMC.2016.2606400
分布式星群网络中基于联系图的路由技术研究 http://jdxb.bjtu.edu.cn/CN/abstract/abstract3216.shtml
基于蓝牙信标和微信的位置服务系统研究http://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&filename=WJFZ201712040&dbname=CJFDPREP&uid=WEEvREcwSlJHSldRa1FhdXNXa0hHbmlhSU5tRDFjSDM0Um1TOWM3K08wdz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4ggI8Fm4gTkoUKaID8j8gFw!!
https://fangvv.gitee.io/homepage/IndoorLoc/
Linkhttps://fangvv.github.io/Homepage/IndoorLoc/
Clustered Multi-dictionary Code Compression Method for Portable Medical Electronic Systems http://ieeexplore.ieee.org/document/8210834/
Optimal Scheduling for Energy Harvesting Mobile Sensing Deviceshttp://www.sciencedirect.com/science/article/pii/S0140366415003448
Optimal Scheduling for Data Transmission between Mobile Devices and Cloudhttp://www.sciencedirect.com/science/article/pii/S0020025515000110
A Comment on "Power Cost Reduction in Distributed Data Centers: A two Time Scale Approach for Delay Tolerant Workloads"http://dx.doi.org/10.1109/TPDS.2014.2312920
Software-defined Cellular Networking: A Practical Path Towards 5Ghttps://www.inderscienceonline.com/doi/abs/10.1504/IJCNDS.2015.066019
Achieving Optimal Admission Control with Dynamic Scheduling in Energy Constrained Network Systemshttp://dx.doi.org/10.1016/j.jnca.2014.05.009
On the Throughput-Energy Tradeoff for Data Transmission between Cloud and Mobile Deviceshttp://dx.doi.org/10.1016/j.ins.2014.06.022
Optimizing Data Placement and Traffic Routing for Energy Saving in Backbone Networkshttp://onlinelibrary.wiley.com/doi/10.1002/ett.2774/full
Energy-Efficient Network Transmission between Satellite Swarms and Earth Stations based on Lyapunov Optimization Techniqueshttp://www.hindawi.com/journals/mpe/2014/254326/
Diamond: An Improved Fat-tree Architecture for Large-Scale Data Centershttps://pdfs.semanticscholar.org/2cff/ef237bf59a5efcdcea47e38f76de704d8222.pdf
VMPlanner: Optimizing Virtual Machine Placement and Traffic Flow Routing to Reduce Network Power Costs in Cloud Data Centershttp://dx.doi.org/10.1016/j.comnet.2012.09.008
截图https://fangvv.github.io/Homepage/papers/COMNET_MOST_CITED.pdf
Comment on "Robust Cooperative Routing Protocol in Mobile Wireless Sensor Networks"http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6582747
An Adaptive Transmission Scheme for Wireless Sensor Networkshttp://article.nadiapub.com/IJFGCN/vol6_no1/4.pdf
Cost-aware Workload Dispatching and Server Provisioning for Distributed Cloud Data Centershttp://article.nadiapub.com/IJGDC/vol6_no5/5.pdf
Network Element Scheduling for Achieving Energy-aware Data Center Networkshttp://journal.univagora.ro/?page=article_details&id=580
A Cross-Layer Protocol for Reliable and Efficient Communication in Wireless Sensor Networkshttp://www.ijicic.org/ijicic-11-09047.pdf
Cluster-based Data Gathering in Long-Strip Wireless Sensor Networkshttp://www.aece.ro/abstractplus.php?year=2012&number=1&article=1
一种无线传感器网络MAC协议优化算法http://cjc.ict.ac.cn/quanwenjiansuo/2012-3/liuyl.pdf
Research and Implementation of an AAA System for Railway WiMAX Communication Networkshttp://www.aicit.org/jdcta/ppl/JDCTA_201109_26.pdf
Reliable Broadcast Transmission in Wireless Networks Based on Network Codinghttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5928875
Energy-Efficient Cooperative Communication for Data Transmission in Wireless Sensor Networkshttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5681089
Congestion avoidance, detection and alleviation in wireless sensor networkshttps://link.springer.com/article/10.1631/jzus.C0910204
下载http://www.jzus.zju.edu.cn/downloadrank.php
引用http://www.jzus.zju.edu.cn/citedrank.php
Handbook of Research on Developments and Trends in Wireless Sensor Networks: From Principle to Practicehttps://www.igi-global.com/book/handbook-research-developments-trends-wireless/37284?f=e-book&i=1
Big Data Analytics for Sensor-Network Collected Intelligencehttps://www.sciencedirect.com/book/edited-volume/9780128093931/big-data-analytics-for-sensor-network-collected-intelligence
报道http://news.bjtu.edu.cn/info/1014/38570.htm
结果https://www.atecup.cn/competitionReportDetails/12/2022
结果https://www.atecup.cn/competitionReportDetails/13/2022
PDFAutoRenameToolshttps://github.com/fangvv/PdfAutoRenameTools/
Jen Heemstra @Xhttps://twitter.com/jenheemstra/status/1506445216173207559
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