Difference between revisions of "Resource:Paper Carnival 2022"

From MobiNetS
Jump to: navigation, search
 
(18 intermediate revisions by 2 users not shown)
Line 1: Line 1:
'''Paper carnival 2022'''
=== Visible Light Communication--Wenliang "10:00-11:00" ===
 
 
'''Visible Light Communication--Wenliang "10:00-11:00" '''


[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485934 CurveLight: An Accurate and Practical Indoor Positioning System]
[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485934 CurveLight: An Accurate and Practical Indoor Positioning System]
Line 8: Line 5:
[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485948 SpiderWeb: Enabling Through-Screen Visible Light Communication]
[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485948 SpiderWeb: Enabling Through-Screen Visible Light Communication]


['''Kaiwen"11:00-11:30"'''][ICNP2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9155474 X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN]
===Kaiwen"11:00-11:30"===
 
[ICNP 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9155474 X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN]


'''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]
[TMC 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343712 ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks]


['''Zhuoliu"15:00-15:30"'''][MobiCom21] [https://www.microsoft.com/en-us/research/uploads/prod/2021/09/Visage_Mobicom_2021.pdf Visage: enabling timely analytics for drone imagery]
===Zhuoliu"15:00-15:30"===
[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]
[TMC 2022] [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"'''][INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796908/ IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes]
===Xinyu"16:30-17:00"===
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796908/ IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes]


['''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]
===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]


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


[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]


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


[Infocom 2022] [https://ieeexplore.ieee.org/document/9796969/ Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing]
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796969/ Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing]
Line 52: Line 54:
[TMC 2022] [https://ieeexplore.ieee.org/abstract/document/9832640 Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing]
[TMC 2022] [https://ieeexplore.ieee.org/abstract/document/9832640 Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing]


[YuanQi][NSDI 2022] [https://www.microsoft.com/en-us/research/uploads/prod/2021/07/nsdi22spring-final74.pdf Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers]
===Yuanqi "11:00-11:30"===
[NSDI 2022] [https://www.microsoft.com/en-us/research/uploads/prod/2021/07/nsdi22spring-final74.pdf Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers]


[Wangkun][Infocom 2022][https://ieeexplore.ieee.org/document/9796884/ Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network]
===Wang Kun "11:30-12:00"===
[Infocom 2022][https://ieeexplore.ieee.org/document/9796884/ Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network]


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


[ICML 2022] [https://arxiv.org/pdf/2111.00465.pdf DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning]
[ICML 2022] [https://arxiv.org/pdf/2111.00465.pdf DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning]
Line 64: Line 68:
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796982/ Optimal Rate Adaption in Federated Learning with Compressed Communications]
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796982/ Optimal Rate Adaption in Federated Learning with Compressed Communications]


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


[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796960/ Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee]
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796960/ Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee]
Line 72: Line 76:
[IoTJ] [https://ieeexplore.ieee.org/document/9828398/ Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing]
[IoTJ] [https://ieeexplore.ieee.org/document/9828398/ Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing]


['''Jiangshu"16:00-17:00"'''][SIGCOMM2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544238 From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud]
===Jiangshu"16:00-17:00"===
[SIGCOMM 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544238 From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud]

Latest revision as of 14:39, 20 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"

[ICNP 2022] 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

[TMC 2022] 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

[TMC 2022] 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 "11:00-11:30"

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

Wang Kun "11:30-12:00"

[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"

[SIGCOMM 2022] From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud

Retrieved from "http://mobinets.cn/site/index.php?title=Resource:Paper_Carnival_2022&oldid=2504"