Difference between revisions of "Resource:Seminar"

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The reading list could be found [[Resource:Reading_List|here]].
{{SemNote
<pre style="white-space: pre-wrap;">
|time='''Friday 10:30-12:00'''
Time:2019-11-06, 10:20
|addr=4th Research Building A518
Address:B1-612, Main Building, Qingshuihe, UESTC
|note=Useful links: [[Resource:Reading_List|Readling list]]; [[Resource:Seminar_schedules|Schedules]]; [[Resource:Previous_Seminars|Previous seminars]].
</pre>
 
=== Latest ===
{{Latest_seminar
|confname=MobiCom'19
|link=http://www.winlab.rutgers.edu/~luyang/papers/mobicom19_augmented_reality.pdf
|title=Edge Assisted Real-time Object Detection for MobileAugmented Reality
|speaker=Yunpeng Han
}}
}}


===Latest===
{{Latest_seminar
{{Latest_seminar
|confname=ICDCS'19
|abstract=In this paper, we focus on the problem of efficiently locating a target object described with free-form text using a mobile robot equipped with vision sensors (e.g., an RGBD camera). Conventional active visual search predefines a set of objects to search for, rendering these techniques restrictive in practice. To provide added flexibility in active visual searching, we propose a system where a user can enter target commands using free-form text; we call this system Zero-shot Active Visual Search (ZAVIS). ZAVIS detects and plans to search for a target object inputted by a user through a semantic grid map represented by static landmarks (e.g., desk or bed). For efficient planning of object search patterns, ZAVIS considers commonsense knowledge-based co-occurrence and predictive uncertainty while deciding which landmarks to visit first. We validate the proposed method with respect to SR (success rate) and SPL (success weighted by path length) in both simulated and real-world environments. The proposed method outperforms previous methods in terms of SPL in simulated scenarios, and we further demonstrate ZAVIS with a Pioneer-3AT robot in real-world studies.
|link=https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/yzgM12TqeMYjWMqMhtP8N/7zRQAZeZ0fbS1oMqRXu5YR.pdf
|confname=ICRA 2023
|title=DMRA: A Decentralized Resource Allocation Scheme for Multi-SP Mobile Edge Computing
|link=https://ieeexplore.ieee.org/document/10161345
|speaker=Jiwei Mo
|title=Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants
}}
|speaker=Zhenhua
 
|date=2024-05-24}}
=== History ===
====2019====
{{Hist_seminar
|confname=MobiSys'16
|link=https://www.microsoft.com/en-us/research/publication/mobility-modeling-prediction-bike-sharing-systems-2/
|title=Mobility Modeling and Prediction in Bike-Sharing Systems
|speaker=Anqi Yang
|date=2019-10-30
}}
{{Hist_seminar
|confname=Tech. Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar#
|title=LoRa Localization
|speaker=Xuan Yang
|date=2019-10-30
}}
{{Hist_seminar
|confname=SigComm'19
|link=https://people.cs.uchicago.edu/~junchenj/docs/E2E_Sigcomm19.pdf
|title=E2E: Embracing User Heterogeneity to ImproveQuality of Experience on the Web
|speaker=Jingwei Li
|date=2019-10-23
}}
{{Hist_seminar
|confname=ICDCS'19
|link=https://www.cse.ust.hk/~weiwa/papers/cmfl-icdcs19.pdf
|title=CMFL: Mitigating Communication Overhead for Federated Learning
|speaker=Yuhong Jiang
|date=2019-10-23
}}
{{Hist_seminar
|confname=Tech.Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar#
|title=Report on LoRa reliable protocols
|speaker=Wenliang Mao
|date=2019-10-16
}}
{{Hist_seminar
|confname=ICDCS'19
|link=https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/4s7uYmRKCj0LsGXo56pEeY/6q2XcJvusaWopfasaMSRAA.pdf
|title=Computation Offloading for Mobile-Edge Computing with Multi-user
|speaker=Chang Shu
|date=2019-10-16
}}
 
{{Hist_seminar
|confname=Paper_Carnival_2019
|link=http://mobinets.org/index.php?title=Resource:Paper_Carnival_2019
|title= [[Resource:Paper_Carnival_2019|Paper Carnival 2019]]
|speaker=ALL
|date=2019-09-28,29,30
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://netarchlab.tsinghua.edu.cn/~junbi/INFOCOM2019-1.pdf
|title=Octans: Optimal Placement of Service Function Chains in Many-Core Systems
|speaker=Yuntong Zhang
|date=2019-05-22
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=https://ieeexplore.ieee.org/abstract/document/8737660
|title=Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices
|speaker=Zhe Wang
|date=2019-05-22
}}
{{Hist_seminar
|confname=Tech. Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Recent progress and further trends on EdgeCloudSim
|speaker=Yunpeng Han
|date=2019-04-19
}}
{{Hist_seminar
|confname=MobiCom'19
|link=https://arxiv.org/pdf/1812.03103.pdf
|title=mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking
|speaker=Xuan Yang
|date=2019-04-19
}}
{{Hist_seminar
|confname=NSDI'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Correctness and Performance for Stateful Chained Network Functions
|speaker=Yunpeng Han
|date=2019-04-19
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSN
|speaker=Wenjie Huang
|date=2019-04-12
}}
{{Hist_seminar
|confname=SIGCOMM'13
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Developing a Predictive Model of Quality of Experience for Internet Video
|speaker=Yuhong Jiang
|date=2019-04-12
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Brush like a Dentist: Accurate Monitoring of Toothbrushing via Wrist-Worn Gesture Sensing
|speaker=Jingwei Li
|date=2019-03-29
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications
|speaker=Anqi Yang
|date=2019-03-29
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing
|speaker=Chang Shu
|date=2019-03-22
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission
|speaker=Wenliang Mao
|date=2019-03-22
}}
{{Hist_seminar
|confname=COMST'18
|link=https://ieeexplore.ieee.org/document/8430735/
|title=Small Cells in the Forthcoming 5G/IoT: Traffic Modeling and Deployment Overview
|speaker=Anqi Yang
|date=2019-01-04
}}
 
====2018====
{{Hist_seminar
|confname=SIGCOMM'18
|link=https://conferences.sigcomm.org/events/apnet2018/papers/elastic_sketch.pdf
|title=Elastic Sketch: Adaptive and Fast Network-wide Measurements
|speaker=Wenliang Mao
|date=2018-12-21
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/document/7458131/
|title=Performance analysis of mobile data offloading in heterogeneous networks
|speaker=Yunpeng Han
|date=2018-12-06
}}
{{Hist_seminar
|confname=COMST'18
|link=https://ieeexplore.ieee.org/document/8430735/
|title=Small Cells in the Forthcoming 5G/IoT: Traffic Modelling and Deployment Overview
|speaker=Anqi Yang
|date=2018-12-06
}}
{{Hist_seminar
|confname=TMC'17
|link=http://ieeexplore.ieee.org/document/7272098/
|title=A Reliability-Augmented Particle Filter for Magnetic Fingerprinting based Indoor Localization on Sma
|speaker=Wenjie Huang
|date=2018-11-30
}}
{{Hist_seminar
|confname=ToN'18
|link=https://ieeexplore.ieee.org/abstract/document/8519737
|title=A Distributed Computation Offloading Strategy in Small-Cell Networks Integrated With Mobile Edge Computing
|speaker=Yuhong Jiang
|date=2018-11-23
}}
{{Hist_seminar
|confname=ICNP'18
|link=https://ieeexplore.ieee.org/abstract/document/8526830
|title=Networking Support For Physical-Layer Cross-Technology Communication
|speaker=Jingwei Li
|date=2018-11-23
}}
{{Hist_seminar
|confname=IoT Journal'18
|link=https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361406
|title=Mobile-Edge Computation Offloading for Ultra-Dense IoT Networks
|speaker=Chang Shu
|date=2018-11-16
}}
{{Hist_seminar
|confname=IPSN'17
|link=http://mpc.ece.utexas.edu/media/uploads/publishing/blend_ipsn17.pdf
|title=BLEnd: Practical Continuous Neighbor Discovery for Bluetooth Low Energy
|speaker=Minghang Yang
|date=2018-11-16
}}
{{Hist_seminar
|confname=Topic
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=LoRa Applications (two papers)
|speaker=Xinyuan Huang
|date=2018-10-19
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/8476204
|title=Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks
|speaker=Shuowei Chen
|date=2018-10-19
}}
{{Hist_seminar
|confname=EWSN'17
|link=https://dl.acm.org/citation.cfm?id=3108015
|title=MOR: Multichannel Opportunistic Routing for Wireless Sensor Networks
|speaker=Xuan Yang
|date=2018-10-12
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/7874147
|title= Hermes: Latency Optimal Task Assignment for Resource-constrained Mobile Computing
|speaker=Yunpeng Han
|date=2018-10-12
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://www.youtube.com/watch?v=e02p7813kN8
|title=FoggyCache: Cross-Device Approximate Computation Reuse
|speaker=Jingwei Li
|date=2018-09-30
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://ieeexplore.ieee.org/abstract/document/8406950/
|title=Knowledge-centric proactive edge caching over mobile content distribution network
|speaker=Anqi Yang
|date=2018-09-21
}}
{{Hist_seminar
|confname=TWC'18
|link=https://ieeexplore.ieee.org/abstract/document/8443421/
|title=Enhancing Video Rate Adaptation with Mobile Edge Computing and Caching in Software-defined Mobile Ne
|speaker=Yuhong Jiang
|date=2018-09-21
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://netlab.dcs.gla.ac.uk/uploads/files/4239e2a52ef02c46fbdccb8ad0de1448.pdf
|title=Dynamic,Latency-Optimal vNF Placement at the Network Edge
|speaker=Latency-Optimal vNF Placement at the Network Edge
|date=Chang Shu}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/7572937/
|title=Neighbor Discovery and Rendezvous Maintenance with Extended Quorum Systems for Mobile Applications
|speaker=Minghang Yang
|date=2018-09-14
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/seminar/carnival18mns/program.pdf
|title=3-day discussion on recent papers in wireless,networking and mobile
|speaker=networking and mobile</a>
|date=Chang Shu}}
{{Hist_seminar
|confname=IPSN'18
|link=https://dl.acm.org/citation.cfm?id=3207955
|title=Charm: Exploiting Geographical Diversity Through Coherent Combining in Low-Power Wide-Area Networks
|speaker=Weifeng Gao
|date=2018-06-15
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=http://grid.hust.edu.cn/fmliu/vnf-scaling-infocom1
|title=Adaptive VNF Scaling and Flow Routing with Proactive Demand Prediction
|speaker=Chang Shu
|date=2018-06-15
}}
{{Hist_seminar
|confname=ComMag'17
|link=https://ieeexplore.ieee.org/document/8004165/
|title=The Algorithmic Aspects of Network Slicing
|speaker=Yunpeng Han
|date=2018-06-08
}}
{{Hist_seminar
|confname=IPSN'18
|link=https://dl.acm.org/citation.cfm?id=3207954
|title=Continuous Wireless Link Rates for Internet of Things
|speaker=Luqi Yang
|date=2018-06-08
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://www.researchgate.net/publication/325190993
|title=TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding
|speaker=Xinyuan Huang
|date=2018-06-01
}}
{{Hist_seminar
|confname=Invited Tech.Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Report on recent research progress
|speaker=Songfan Li
|date=2018-06-01
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Scheduling Algorithms for Resource-Constrained Systems
|speaker=Prof. Dakai Zhu from UTSA
|date=2018-05-28
}}
{{Hist_seminar
|confname=CVPR'17
|link=https://ieeexplore.ieee.org/document/8099631/
|title=Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
|speaker=Hui Cao
|date=2018-05-21
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=http://people.umass.edu/hcai/
|title=Self-Adapting Quorum-Based Neighbor Discovery in Wireless Sensor Networks
|speaker=Minghang Yang
|date=2018-05-21
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=From Location to Activity: Human-centric Sensing and Analytics
|speaker=Prof. Tao Gu
|date=2018-05-11
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=#
|title=LipPass: Lip Reading-based User Authentication on Smartphones Leveraging Acoustic Signals
|speaker=Shuowei Chen
|date=2018-04-27
}}
{{Hist_seminar
|confname=JSAC'17
|link=https://ieeexplore.ieee.org/document/8058433
|title=QoE-Aware and Reliable Traffic Steering for Service Function Chaining in Mobile Networks
|speaker=Zhe Wang
|date=2018-04-27
}}
{{Hist_seminar
|confname=JSAC'17
|link=http://rboutaba.cs.uwaterloo.ca/Papers/Journals/20
|title=Distributed Service Function Chaining
|speaker=Yuntong Zhang
|date=2018-04-13
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://arxiv.org/pdf/1801.05868
|title=Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
|speaker=Zi Wang
|date=2018-04-13
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://arxiv.org/pdf/1712.06056.pdf
|title=One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks
|speaker=Chang Shu
|date=2018-03-16
}}
{{Hist_seminar
|confname=SigComm'16
|link=https://pdfs.semanticscholar.org/8e22/6c40a8c056dc
|title=OpenBox: A Software-De?ned Framework for Developing,Deploying,and Managing Network Functions
|speaker=Deploying
|date=and Managing Network Functions</a>}}
{{Hist_seminar
|confname=SigComm'17
|link=https://pdfs.semanticscholar.org/fa3b/9634b6057b3f
|title=Empowering Low-Power Wide Area Networks in Urban Settings
|speaker=Weifeng Gao
|date=2018-02-02
}}
{{Hist_seminar
|confname=ComMag16
|link=http://ieeexplore.ieee.org/abstract/document/81988
|title=Hypergraph Theory: Applications in 5G Heterogeneous Ultra-Dense Networks
|speaker=Yunpeng Han
|date=2018-01-26
}}
{{Hist_seminar
|confname=TCST'17
|link=http://ieeexplore.ieee.org/abstract/document/82372
|title=Optimal UAV Route Planning for Coverage Search of Stationary Target in River
|speaker=Hui Cao
|date=2018-01-26
}}
 
====2017====
 
{{Hist_seminar
|confname=MobiCom'17
|link=https://www.ntu.edu.sg/home/junluo/documents/Refle
|title=ReflexCode: Coding with Superposed Reflection Light for LED-Camera Communication
|speaker=Xinyuan Huang
|date=2017-12-08
}}
{{Hist_seminar
|confname=Proc. IEEE 2016
|link=http://ieeexplore.ieee.org/document/7423655/
|title=Using Smart Edge IoT Devices for Safer,Rapid Response With Industry IoT Control Operations
|speaker=Rapid Response With Industry IoT Control Operations</a>
|date=Minghang Yang}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/document/8057039/
|title=Approximation Algorithms for The NFV Service Distribution Problem
|speaker=Yuntong Zhang
|date=2017-11-24
}}
{{Hist_seminar
|confname=CCS'17
|link=https://endchan.xyz/.media/50cf379143925a3926298f8
|title=DolphinAtack: Inaudible Voice Commands
|speaker=Zifei Zhao
|date=2017-11-24
}}
{{Hist_seminar
|confname=NSDI'17
|link=https://www.usenix.org/conference/nsdi17/technical
|title=Improving User Perceived Page Load Times Using Gaze
|speaker=Yaoyao Pang
|date=2017-11-17
}}
{{Hist_seminar
|confname=CoNEXT'16
|link=https://dl.acm.org/citation.cfm?id=2999602
|title=Flurries: Countless Fine-Grained NFs for Flexible Per-Flow Customization
|speaker=Zhe Wang
|date=2017-11-17
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://dl.acm.org/citation.cfm?id=3117843
|title=PassiveVLC: Enabling Practical Visible Light Backscatter Communication for Battery-free IoT Applicat
|speaker=Weifeng Gao
|date=2017-11-10
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/document/8057229/
|title=Service Chain Embedding with Maximum Flow in Software-defined Network and Application to The Next-Ge
|speaker=Chang Shu
|date=2017-11-10
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe
|title=BAC: Bandwidth-Aware Compression for EfficientLive Migration of Virtual Machines
|speaker=Yunpeng Han
|date=2017-11-03
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://dl.acm.org/ft_gateway.cfm?id=3117816&ftid=
|title=WEBee: Physical-Layer Cross-Technology Communication via Emulation
|speaker=Shuowei Chen
|date=2017-11-03
}}
{{Hist_seminar
|confname=SigComm'17
|link=http://conferences.sigcomm.org/sigcomm/2017/files/
|title=NFVnice: Dynamic Backpressure and Scheduling for NFV Service Chains
|speaker=Hui Cao
|date=2017-10-27
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://kabru.eecs.umich.edu/wordpress/wp-content/
|title=Continuous Authentication for Voice Assistants
|speaker=Heng Yuan
|date=2017-10-27
}}
{{Hist_seminar
|confname=TWC'17
|link=http://ieeexplore.ieee.org/document/7929399/
|title=Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing
|speaker=Xinyuan Huang
|date=2017-10-20
}}
{{Hist_seminar
|confname=ToN'17
|link=http://ieeexplore.ieee.org/document/7784410/
|title=Chase: Taming concurrent broadcast for flooding in asynchronous duty cycle networks
|speaker=Minghang Yang
|date=2017-10-20
}}
{{Hist_seminar
|confname=TOSN'17
|link=http://www.comp.nus.edu.sg/~mobashir/Resources/Pap
|title=Improving Performance of Synchronous Transmission-Based Protocols Using Capture Effect over Multicha
|speaker=Luqi Yang
|date=2017-10-13
}}
{{Hist_seminar
|confname=SigComm'17
|link=http://conferences.sigcomm.org/sigcomm/2017/files/
|title=Dynamic Service Chaining with Dysco
|speaker=Chang Shu
|date=2017-10-13
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://personal.stevens.edu/~ychen6/papers/ER%20Ea
|title=ER: Early Recognition of Inattentive Driving Leveraging Audio Devices on Smartphones
|speaker=Zifei Zhao
|date=2017-09-29
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://thawproject.files.wordpress.com/2017/04/li
|title=LightTouch: Securely Connecting Wearables to Ambient Displays with User Intent
|speaker=Yaoyao Pang
|date=2017-09-22
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://users.cs.fiu.edu/~pand/publications/17info
|title=Traffic Aware Placement of Interdependent NFV Middleboxes
|speaker=Zhe Wang
|date=2017-09-22
}}
{{Hist_seminar
|confname=SigComm'17
|link=https://people.cs.clemson.edu/~hongxih/papers/SIGC
|title=NFP: Enabling Network Function Parallelism in NFV
|speaker=Yuntong Zhang
|date=2017-09-22
}}
{{Hist_seminar
|confname=NFV-SDN'16
|link=https://www.net.t-labs.tu-berlin.de/~stefan/o4sdi1
|title=Efficient service Graph Embedding: A Practical Approach
|speaker=Chang Shu
|date=2017-09-11
}}
{{Hist_seminar
|confname=SenSys'17
|link=http://www.simonduquennoy.net
|title=Network-wide Consensus Utilizing the Capture Effect in Low-power Wireless Networks
|speaker=Weifeng Gao
|date=2017-09-11
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://arxiv.org/abs/1612.06507
|title=Survivable and Bandwidth Guaranteed Embe
|speaker=Yuntong Zhang
|date=2017-06-26
}}
{{Hist_seminar
|confname=MobiCom'15
|link=
|title=Survivable and Bandwidth Guaranteed Embedding of Virtual Clusters in Cloud Data Centers
|speaker=Yuntong Zhang
|date=2017-06-26
}}
{{Hist_seminar
|confname=MobiCom'15
|link=https://www.sigmobile.org/mobicom/2015/papers/p9
|title=Keystroke Recognition Using WiFi Signals
|speaker=Weiwang Li
|date=2017-06-26
}}
 
===Instructions===
请使用Latest_seminar和Hist_seminar模板更新本页信息.
# 修改时间和地点信息
# 将当前latest seminar部分的code复制到history部分
# 将{{Latest_seminar... 修改为 {{Hist_seminar...，并增加对应的日期信息|date=
# 填入latest seminar各字段信息
 
*格式说明
** Latest_seminar:
<blockquote><small>
{{Latest_seminar
{{Latest_seminar
<br>|confname=
|abstract=Network monitoring systems struggle with the issue that the measurement data is incomplete, with only a subset of origin-destination (OD) pairs or time slots observed, due to the high deployment and measurement cost. Recent studies show that the missing data can be inferred from partial measurements using neural network models and tensor methods. However, these recovery approaches fail to achieve accuracy, adaptability and high speed, simultaneously. In this paper, we propose RecMon, a deep learning-based data recovery system that satisfies the above three criteria. A global spatio-temporal attention mechanism and a data augmentation algorithm are proposed to improve the recovery accuracy. A semi-supervised learning-based scheme is devised for fast and effective model updates. We conduct extensive experiments on three real-world datasets to compare RecMon with four state-of-the-art methods in terms of online recovery performance. The experimental results show that RecMon can adapt to the latest state of the network and accurately recover network measurement data in less than 100 milliseconds. When 90% of the data is missing, the recovery accuracy of RecMon improves over the strongest baseline method by 22.7%, 16.0%, and 8.2% in the three datasets, respectively.
<br>|link=
|confname=INFOCOM 2023
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|link=https://xplorestaging.ieee.org/document/10229025
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|title=RecMon: A Deep Learning-based Data Recovery System for Network Monitoring
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|speaker=Zhenguo
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|date=2024-05-24}}
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Latest revision as of 16:10, 22 May 2024

Time: Friday 10:30-12:00
Address: 4th Research Building A518
Useful links: Readling list; Schedules; Previous seminars.

Latest

  1. [ICRA 2023] Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants, Zhenhua
    Abstract: In this paper, we focus on the problem of efficiently locating a target object described with free-form text using a mobile robot equipped with vision sensors (e.g., an RGBD camera). Conventional active visual search predefines a set of objects to search for, rendering these techniques restrictive in practice. To provide added flexibility in active visual searching, we propose a system where a user can enter target commands using free-form text; we call this system Zero-shot Active Visual Search (ZAVIS). ZAVIS detects and plans to search for a target object inputted by a user through a semantic grid map represented by static landmarks (e.g., desk or bed). For efficient planning of object search patterns, ZAVIS considers commonsense knowledge-based co-occurrence and predictive uncertainty while deciding which landmarks to visit first. We validate the proposed method with respect to SR (success rate) and SPL (success weighted by path length) in both simulated and real-world environments. The proposed method outperforms previous methods in terms of SPL in simulated scenarios, and we further demonstrate ZAVIS with a Pioneer-3AT robot in real-world studies.
  2. [INFOCOM 2023] RecMon: A Deep Learning-based Data Recovery System for Network Monitoring, Zhenguo
    Abstract: Network monitoring systems struggle with the issue that the measurement data is incomplete, with only a subset of origin-destination (OD) pairs or time slots observed, due to the high deployment and measurement cost. Recent studies show that the missing data can be inferred from partial measurements using neural network models and tensor methods. However, these recovery approaches fail to achieve accuracy, adaptability and high speed, simultaneously. In this paper, we propose RecMon, a deep learning-based data recovery system that satisfies the above three criteria. A global spatio-temporal attention mechanism and a data augmentation algorithm are proposed to improve the recovery accuracy. A semi-supervised learning-based scheme is devised for fast and effective model updates. We conduct extensive experiments on three real-world datasets to compare RecMon with four state-of-the-art methods in terms of online recovery performance. The experimental results show that RecMon can adapt to the latest state of the network and accurately recover network measurement data in less than 100 milliseconds. When 90% of the data is missing, the recovery accuracy of RecMon improves over the strongest baseline method by 22.7%, 16.0%, and 8.2% in the three datasets, respectively.

History

2024

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2020

  • [Topic] [ The path planning algorithm for multiple mobile edge servers in EdgeGO], Rong Cong, 2020-11-18

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