Difference between revisions of "Resource:Paper Carnival 2022"

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===Response to Mobility--Luwei "14:00-15:00" ===
===Response to Mobility--Luwei "14:00-15:00" ===


[Infocom2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796811 Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility]
[Infocom 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796811 Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility]


[Infocom2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796968 User Experience Oriented Task Computation for UAV-Assisted MEC System]
[Infocom 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796968 User Experience Oriented Task Computation for UAV-Assisted MEC System]


[TMC2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343712 ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks]
[TMC2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343712 ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks]
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[MobiCom21] [https://www.microsoft.com/en-us/research/uploads/prod/2021/09/Visage_Mobicom_2021.pdf Visage: enabling timely analytics for drone imagery]
[MobiCom21] [https://www.microsoft.com/en-us/research/uploads/prod/2021/09/Visage_Mobicom_2021.pdf Visage: enabling timely analytics for drone imagery]


===Offloading, Delivery--Wenjie "15:30-16:30" ===
===Offloading, Delivery--Wenjie "15:30-16:30" ===  


[Infocom2022] [https://ieeexplore.ieee.org/document/9796843 An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796843 An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers]


[Infocom2022] [https://ieeexplore.ieee.org/document/9796714/ Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796714/ Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing]


[Infocom2022] [https://ieeexplore.ieee.org/document/9796763/ AoDNN: An Auto-Offloading Approach to Optimize Deep Inference for Fostering Mobile Web]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796763/ AoDNN: An Auto-Offloading Approach to Optimize Deep Inference for Fostering Mobile Web]


[TMC2022] [https://ieeexplore.ieee.org/document/9238459 A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data]
[TMC2022] [https://ieeexplore.ieee.org/document/9238459 A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data]


===Xinyu"16:30-17:00"===
===Xinyu"16:30-17:00"===
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796908/ IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796908/ IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes]


===Jiajun"17:00-17:30"===
===Jiajun"17:00-17:30"===
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796661/ Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796661/ Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers]


===Video Service in Edge Networks--Cong Rong "9:00-10:00" ===
===Video Service in Edge Networks--Cong Rong "9:00-10:00" ===
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[SigComm 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544218 NeuroScaler: neural video enhancement at scale]
[SigComm 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544218 NeuroScaler: neural video enhancement at scale]


[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796984/ FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796984/ FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics]


[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796657/ DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796657/ DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation]


[MobiHoc 2021] [https://dl.acm.org/doi/pdf/10.1145/3466772.3467034 Task Offloading with Uncertain Processing Cycles]
[MobiHoc 2021] [https://dl.acm.org/doi/pdf/10.1145/3466772.3467034 Task Offloading with Uncertain Processing Cycles]

Revision as of 17:34, 19 September 2022

Visible Light Communication--Wenliang "10:00-11:00"

[Sensys 2021] CurveLight: An Accurate and Practical Indoor Positioning System

[Sensys 2021] SpiderWeb: Enabling Through-Screen Visible Light Communication

Kaiwen"11:00-11:30"

[ICNP2022] X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN

Response to Mobility--Luwei "14:00-15:00"

[Infocom 2022] Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility

[Infocom 2022] User Experience Oriented Task Computation for UAV-Assisted MEC System

[TMC2022] ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks

Zhuoliu"15:00-15:30"

[MobiCom21] Visage: enabling timely analytics for drone imagery

Offloading, Delivery--Wenjie "15:30-16:30"

[Infocom 2022] An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers

[Infocom 2022] Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing

[Infocom 2022] AoDNN: An Auto-Offloading Approach to Optimize Deep Inference for Fostering Mobile Web

[TMC2022] A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data

Xinyu"16:30-17:00"

[Infocom 2022] IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes

Jiajun"17:00-17:30"

[Infocom 2022] Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers

Video Service in Edge Networks--Cong Rong "9:00-10:00"

[SigComm 2022] NeuroScaler: neural video enhancement at scale

[Infocom 2022] FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics

[Infocom 2022] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

[MobiHoc 2021] Task Offloading with Uncertain Processing Cycles

Edge, offloading, caching--Qingyong "10:00-11:00"

[Infocom 2022] Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing

[Infocom 2022] Distributed Cooperative Caching in Unreliable Edge Environments

[TMC 2022] Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing

YuanQi

[NSDI 2022] Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Wang Kun

[Infocom 2022]Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network

Communication-Efficient Federated Learning--Jianqi "14:00-15:00"

[ICML 2022] DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning

[ICML 2022] QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning

[INFOCOM 2022] Optimal Rate Adaption in Federated Learning with Compressed Communications

Crowdsensing--Xianyang "15:00-16:00"

[INFOCOM 2022] Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee

[INFOCOM 2022] Worker Selection Towards Data Completion for Online Sparse Crowdsensing

[IoTJ] Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing

Jiangshu"16:00-17:00"

[SIGCOMM2022] From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud

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