Junchen Jiang

Orcid: 0000-0002-6877-1683

According to our database1, Junchen Jiang authored at least 99 papers between 2009 and 2024.

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Bibliography

2024
Network Digital Twin.
IEEE Netw., January, 2024

CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion.
CoRR, 2024

Earth+: on-board satellite imagery compression leveraging historical earth observations.
CoRR, 2024

Large Language Model Adaptation for Networking.
CoRR, 2024

Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network.
CoRR, 2024

ARTEMIS: Adaptive Bitrate Ladder Optimization for Live Video Streaming.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

GRACE: Loss-Resilient Real-Time Video through Neural Codecs.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Towards Domain-Specific Network Transport for Distributed DNN Training.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query.
IEEE/ACM Trans. Netw., December, 2023

Run-Time Prevention of Software Integration Failures of Machine Learning APIs.
Proc. ACM Program. Lang., October, 2023

Enabling Perception-Driven Optimization in Networking.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Enabling Edge-Cloud Video Analytics for Robotics Applications.
IEEE Trans. Cloud Comput., 2023

VidPlat: A Tool for Fast Crowdsourcing of Quality-of-Experience Measurements.
CoRR, 2023

CacheGen: Fast Context Loading for Language Model Applications.
CoRR, 2023

Automatic and Efficient Customization of Neural Networks for ML Applications.
CoRR, 2023

Grace++: Loss-Resilient Real-Time Video Communication under High Network Latency.
CoRR, 2023

RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Towards Optimal Preemptive GPU Time-Sharing for Edge Model Serving.
Proceedings of the 9th International Workshop on Container Technologies and Container Clouds, 2023

Gemini: Divide-and-Conquer for Practical Learning-Based Internet Congestion Control.
Proceedings of the IEEE INFOCOM 2023, 2023

Estimating WebRTC Video QoE Metrics Without Using Application Headers.
Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

Online Profiling and Adaptation of Quality Sensitivity for Internet Video.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022
Enabling Personalized Video Quality Optimization with VidHoc.
CoRR, 2022

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder.
CoRR, 2022

AccMPEG: Optimizing Video Encoding for Video Analytics.
CoRR, 2022

Automatic Curriculum Generation for Learning Adaptation in Networking.
CoRR, 2022

Understanding the potential of server-driven edge video analytics.
Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

Genet: automatic curriculum generation for learning adaptation in networking.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Bandwidth-Efficient Multi-video Prefetching for Short Video Streaming.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AccMPEG: Optimizing Video Encoding for Accurate Video Analytics.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Minimizing packet retransmission for real-time video analytics.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021
BDS+: An Inter-Datacenter Data Replication System With Dynamic Bandwidth Separation.
IEEE/ACM Trans. Netw., 2021

Privid: Practical, Privacy-Preserving Video Analytics Queries.
CoRR, 2021

CocoSketch: high-performance sketch-based measurement over arbitrary partial key query.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Precise error estimation for sketch-based flow measurement.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

Towards Performance Clarity of Edge Video Analytics.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Sayer: Using Implicit Feedback to Optimize System Policies.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020
Domain-specific Communication Optimization for Distributed DNN Training.
CoRR, 2020

A New Abstraction for Internet QoE Optimization.
CoRR, 2020

Server-Driven Video Streaming for Deep Learning Inference.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

Spatula: Efficient cross-camera video analytics on large camera networks.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
Scaling Video Analytics Systems to Large Camera Deployments.
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

E2E: embracing user heterogeneity to improve quality of experience on the web.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

Zooming in on wide-area latencies to a global cloud provider.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

Pano: optimizing 360° video streaming with a better understanding of quality perception.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

Networked Cameras Are the New Big Data Clusters.
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics.
Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

Rethinking Transport Layer Design for Distributed Machine Learning.
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

2018
Machine Learning for Networking: Workflow, Advances and Opportunities.
IEEE Netw., 2018

ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale.
CoRR, 2018

Seeding Deep Learning using Wireless Localization.
CoRR, 2018

Chameleon: scalable adaptation of video analytics.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Reinventing Video Streaming for Distributed Vision Analytics.
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

BDS: a centralized near-optimal overlay network for inter-datacenter data replication.
Proceedings of the Thirteenth EuroSys Conference, 2018

Demystifying Deep Learning in Networking.
Proceedings of the 2nd Asia-Pacific Workshop on Networking, 2018

2017
Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation.
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Biases in Data-Driven Networking, and What to Do About Them.
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

Unleashing the Potential of Data-Driven Networking.
Proceedings of the Communication Systems and Networks - 9th International Conference, 2017

2016
CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Via: Improving Internet Telephony Call Quality Using Predictive Relay Selection.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

CFA: A Practical Prediction System for Video QoE Optimization.
Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

2015
Analyzing TCP Throughput Stability and Predictability with Implications for Adaptive Video Streaming.
CoRR, 2015

DDA: Cross-Session Throughput Prediction with Applications to Video Bitrate Selection.
CoRR, 2015

Practical, Real-time Centralized Control for CDN-based Live Video Delivery.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

C3: Internet-Scale Control Plane for Video Quality Optimization.
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

2014
Improving Fairness, Efficiency, and Stability in HTTP-Based Adaptive Video Streaming With Festive.
IEEE/ACM Trans. Netw., 2014

TFA: A Tunable Finite Automaton for Pattern Matching in Network Intrusion Detection Systems.
IEEE J. Sel. Areas Commun., 2014

Kangaroo: Accelerating String Matching by Running Multiple Collaborative Finite State Machines.
IEEE J. Sel. Areas Commun., 2014

Enabling near real-time central control for live video delivery in CDNs.
Proceedings of the ACM SIGCOMM 2014 Conference, 2014

Using Video-Based Measurements to Generate a Real-Time Network Traffic Map.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014

EONA: Experience-Oriented Network Architecture.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014

2013
StriFA: Stride Finite Automata for High-Speed Regular Expression Matching in Network Intrusion Detection Systems.
IEEE Syst. J., 2013

Shedding light on the structure of internet video quality problems in the wild.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013

2012
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking .
Proc. VLDB Endow., 2012

Managing DFA History with Queue for Deflation DFA.
J. Netw. Syst. Manag., 2012

A case for a coordinated internet video control plane.
Proceedings of the ACM SIGCOMM 2012 Conference, 2012

Tracking millions of flows in high speed networks for application identification.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Reducing power of traffic manager in routers via dynamic on/off-chip scheduling.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Scalable Name Lookup in NDN Using Effective Name Component Encoding.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

Deadline-aware data plane for internet video.
Proceedings of the 2012 ACM conference on CoNEXT student workshop, 2012

2011
S3: Smart selection of sampling function for passive network measurement.
Proceedings of the IEEE 36th Conference on Local Computer Networks, 2011

Measurements on movie distribution behavior in Peer-to-Peer networks.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

StriD²FA: Scalable Regular Expression Matching for Deep Packet Inspection.
Proceedings of IEEE International Conference on Communications, 2011

Parallel Name Lookup for Named Data Networking.
Proceedings of the Global Communications Conference, 2011

2010
Parallel DFA Architecture for Ultra High Throughput DFA-Based Pattern Matching.
IEICE Trans. Inf. Syst., 2010

NetShield: massive semantics-based vulnerability signature matching for high-speed networks.
Proceedings of the ACM SIGCOMM 2010 Conference on Applications, 2010

Deflation DFA: Remembering History is Adequate.
Proceedings of IEEE International Conference on Communications, 2010

Pattern-Based DFA for Memory-Efficient and Scalable Multiple Regular Expression Matching.
Proceedings of IEEE International Conference on Communications, 2010

Parallel Architecture for High Throughput DFA-Based Deep Packet Inspection.
Proceedings of IEEE International Conference on Communications, 2010

Cache-Based Scalable Deep Packet Inspection with Predictive Automaton.
Proceedings of the Global Communications Conference, 2010

Independent Parallel Compact Finite Automatons for Accelerating Multi-String Matching.
Proceedings of the Global Communications Conference, 2010

Skip Finite Automaton: A Content Scanning Engine to Secure Enterprise Networks.
Proceedings of the Global Communications Conference, 2010

A2C: Anti-Attack Counters for Traffic Measurement.
Proceedings of the Global Communications Conference, 2010

2009
Module-Based Finite Automata: A Scalable and Memory-Efficient Architecture for Multi-pattern Matching in Deep Packet Inspection.
Proceedings of the Communication and Networking, 2009

SPC-FA: synergic parallel compact finite automaton to accelerate multi-string matching with low memory.
Proceedings of the 2009 ACM/IEEE Symposium on Architecture for Networking and Communications Systems, 2009


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