Chuan Wu

Orcid: 0000-0002-3144-4398

Affiliations:
  • University of Hong Kong, Department of Computer Science, Pokfulam
  • University of Toronto, Department of Electrical and Computer Engineering, Canada (PhD 2008)


According to our database1, Chuan Wu authored at least 215 papers between 2002 and 2024.

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Bibliography

2024
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration in Heterogeneous Systems.
IEEE/ACM Trans. Netw., October, 2024

Swift: Expedited Failure Recovery for Large-Scale DNN Training.
IEEE Trans. Parallel Distributed Syst., September, 2024

An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., May, 2024

HybridFlow: A Flexible and Efficient RLHF Framework.
CoRR, 2024

Heta: Distributed Training of Heterogeneous Graph Neural Networks.
CoRR, 2024

ByteCheckpoint: A Unified Checkpointing System for LLM Development.
CoRR, 2024

Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems.
CoRR, 2024

BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network.
CoRR, 2024

LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.
CoRR, 2024

POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming.
Proceedings of the IEEE INFOCOM 2024, 2024

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning.
Proceedings of the IEEE INFOCOM 2024, 2024

PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

On the Topology Awareness and Generalization Performance of Graph Neural Networks.
Proceedings of the Computer Vision - ECCV 2024, 2024

FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm.
IEEE Trans. Parallel Distributed Syst., December, 2023

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis.
Dataset, November, 2023

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis.
Dataset, November, 2023

Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment.
IEEE Trans. Parallel Distributed Syst., April, 2023

Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads.
IEEE/ACM Trans. Netw., April, 2023

SP-GNN: Learning structure and position information from graphs.
Neural Networks, April, 2023

Caching in Dynamic Environments: A Near-Optimal Online Learning Approach.
IEEE Trans. Multim., 2023

Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning Jobs.
IEEE Trans. Cloud Comput., 2023

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs.
CoRR, 2023

Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform.
CoRR, 2023

Towards Robust Inductive Graph Incremental Learning via Experience Replay.
CoRR, 2023

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Two-level Graph Caching for Expediting Distributed GNN Training.
Proceedings of the IEEE INFOCOM 2023, 2023

TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Towards Robust Graph Incremental Learning on Evolving Graphs.
Proceedings of the International Conference on Machine Learning, 2023

MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Large-Scale Machine Learning Cluster Scheduling via Multi-Agent Graph Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion.
IEEE Trans. Parallel Distributed Syst., 2022

Toward Efficient Online Scheduling for Distributed Machine Learning Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Differentially private recommender system with variational autoencoders.
Knowl. Based Syst., 2022

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training.
CoRR, 2022

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Federated Graph Learning with Periodic Neighbour Sampling.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs.
Proceedings of the IEEE INFOCOM 2022, 2022

Efficient Pipeline Planning for Expedited Distributed DNN Training.
Proceedings of the IEEE INFOCOM 2022, 2022

Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration.
Proceedings of the IEEE INFOCOM 2022, 2022

Accelerating large-scale distributed neural network training with SPMD parallelism.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters.
IEEE Trans. Parallel Distributed Syst., 2021

Adversarial Deep Learning for Online Resource Allocation.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021

Dynamic VM Scaling: Provisioning and Pricing through an Online Auction.
IEEE Trans. Cloud Comput., 2021

A Nonintrusive Elderly Home Monitoring System.
IEEE Internet Things J., 2021

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch.
CoRR, 2021

Joint Model and Data Adaptation for Cloud Inference Serving.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

DAPPLE: a pipelined data parallel approach for training large models.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Near-Optimal Topology-adaptive Parameter Synchronization in Distributed DNN Training.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Online Placement and Scaling of Geo-Distributed Machine Learning Jobs via Volume-Discounting Brokerage.
IEEE Trans. Parallel Distributed Syst., 2020

An Online Algorithm for VNF Service Chain Scaling in Datacenters.
IEEE/ACM Trans. Netw., 2020

A Truthful $(1-\epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning.
IEEE Trans. Cloud Comput., 2020

Fair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers.
IEEE Trans. Cloud Comput., 2020

A Smart Robotic Walker With Intelligent Close-Proximity Interaction Capabilities for Elderly Mobility Safety.
Frontiers Neurorobotics, 2020

Online scheduling of heterogeneous distributed machine learning jobs.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

Fast Training of Deep Learning Models over Multiple GPUs.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Preemptive All-reduce Scheduling for Expediting Distributed DNN Training.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Improving Inter-domain Routing through Multi-agent Reinforcement Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Optimizing distributed training deployment in heterogeneous GPU clusters.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Elastic parameter server load distribution in deep learning clusters.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

Distributed Machine Learning through Heterogeneous Edge Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhancing the Anonymity in Information Diffusion Based on Obfuscated Coded Data.
IEEE Trans. Netw. Sci. Eng., 2019

An Efficient Online Placement Scheme for Cloud Container Clusters.
IEEE J. Sel. Areas Commun., 2019

Scaling Geo-Distributed Network Function Chains: A Prediction and Learning Framework.
IEEE J. Sel. Areas Commun., 2019

NFVactor: A Resilient NFV System Using the Distributed Actor Model.
IEEE J. Sel. Areas Commun., 2019

NetStar: A Future/Promise Framework for Asynchronous Network Functions.
IEEE J. Sel. Areas Commun., 2019

A generic communication scheduler for distributed DNN training acceleration.
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Deep Learning-based Job Placement in Distributed Machine Learning Clusters.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Characterizing Deep Learning Training Workloads on Alibaba-PAI.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

FlowShader: a Generalized Framework for GPU-accelerated VNF Flow Processing.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

A Provably-Efficient Online Algorithm for Re-Utilizing Unused VM Resources for Edge Providers.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Learning Resource Allocation and Pricing for Cloud Profit Maximization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Scheduling Frameworks for Cloud Container Services.
IEEE/ACM Trans. Netw., 2018

Online Scaling of NFV Service Chains Across Geo-Distributed Datacenters.
IEEE/ACM Trans. Netw., 2018

An Online Emergency Demand Response Mechanism for Cloud Computing.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

A Truthful Online Mechanism for Location-Aware Tasks in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2018

A Shapley-Value Mechanism for Bandwidth On Demand between Datacenters.
IEEE Trans. Cloud Comput., 2018

Occupation-Oblivious Pricing of Cloud Jobs via Online Learning.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Job Scheduling in Distributed Machine Learning Clusters.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Cloud Resource Allocation and Pricing with Server Speed Scaling.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Optimus: an efficient dynamic resource scheduler for deep learning clusters.
Proceedings of the Thirteenth EuroSys Conference, 2018

2017
An Online Auction Mechanism for Dynamic Virtual Cluster Provisioning in Geo-Distributed Clouds.
IEEE Trans. Parallel Distributed Syst., 2017

An Efficient Cloud Market Mechanism for Computing Jobs With Soft Deadlines.
IEEE/ACM Trans. Netw., 2017

Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs.
IEEE/ACM Trans. Netw., 2017

Cost-Effective Low-Delay Design for Multiparty Cloud Video Conferencing.
IEEE Trans. Multim., 2017

Virtualized Resource Sharing in Cloud Radio Access Networks Through Truthful Mechanisms.
IEEE Trans. Commun., 2017

Orchestrating Bulk Data Transfers across Geo-Distributed Datacenters.
IEEE Trans. Cloud Comput., 2017

Optimal Posted Prices for Online Cloud Resource Allocation.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market.
IEEE J. Sel. Areas Commun., 2017

Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS.
IEEE J. Sel. Areas Commun., 2017

Normalized Direction-preserving Adam.
CoRR, 2017

An Auction Approach to Spectrum Management in HetNets.
CoRR, 2017

Virtualized resource sharing in cloud radio access networks: An auction approach.
Comput. Commun., 2017

deTector: a Topology-aware Monitoring System for Data Center Networks.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Proactive VNF provisioning with multi-timescale cloud resources: Fusing online learning and online optimization.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Virtualized Network Coding Functions on the Internet.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

A Scalable and Distributed Approach for NFV Service Chain Cost Minimization.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Double Auction for Resource Allocation in Cloud Computing.
Proceedings of the CLOSER 2017, 2017

GPUNFV: a GPU-Accelerated NFV System.
Proceedings of the First Asia-Pacific Workshop on Networking, 2017

Online Learning-Assisted VNF Service Chain Scaling with Network Uncertainties.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Capacity of P2P On-Demand Streaming With Simple, Robust, and Decentralized Control.
IEEE/ACM Trans. Netw., 2016

The Streaming Capacity of Sparsely Connected P2P Systems With Distributed Control.
IEEE/ACM Trans. Netw., 2016

An Online Auction Framework for Dynamic Resource Provisioning in Cloud Computing.
IEEE/ACM Trans. Netw., 2016

Virtual Machine Trading in a Federation of Clouds: Individual Profit and Social Welfare Maximization.
IEEE/ACM Trans. Netw., 2016

A Truthful Incentive Mechanism for Emergency Demand Response in Geo-Distributed Colocation Data Centers.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

An Emergency Demand Response Mechanism for Cloud Computing.
SIGMETRICS Perform. Evaluation Rev., 2016

Colocation Demand Response: Joint Online Mechanisms for Individual Utility and Social Welfare Maximization.
IEEE J. Sel. Areas Commun., 2016

Revenue-maximizing and truthful online auctions for dynamic spectrum access.
Proceedings of the 12th Annual Conference on Wireless On-demand Network Systems and Services, 2016

More is Better? Measurement of MPTCP Based Cellular Bandwidth Aggregation in the Wild.
Proceedings of the 13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2016

Online influence maximization in non-stationary Social Networks.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

An online mechanism for dynamic virtual cluster provisioning in geo-distributed clouds.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

An efficient auction mechanism for service chains in the NFV market.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

An online incentive mechanism for emergency demand response in geo-distributed colocation data centers.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Online VNF Scaling in Datacenters.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Enhancing Internet-Scale Video Service Deployment Using Microblog-Based Prediction.
IEEE Trans. Parallel Distributed Syst., 2015

Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds.
IEEE Trans. Parallel Distributed Syst., 2015

Scaling Social Media Applications Into Geo-Distributed Clouds.
IEEE/ACM Trans. Netw., 2015

A Joint Online Transcoding and Delivery Approach for Dynamic Adaptive Streaming.
IEEE Trans. Multim., 2015

Introduction to the Special Section on Visual Computing in the Cloud: Fundamentals and Applications.
IEEE Trans. Circuits Syst. Video Technol., 2015

Locality-aware streaming in hybrid P2P-cloud CDN systems.
Peer-to-Peer Netw. Appl., 2015

Demand Response in Smart Grids: A Randomized Auction Approach.
IEEE J. Sel. Areas Commun., 2015

Online Electricity Cost Saving Algorithms for Co-Location Data Centers.
IEEE J. Sel. Areas Commun., 2015

Software Defined Mobile Multicast.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Online cost minimization for operating geo-distributed cloud CDNs.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Fair rewarding in colocation data centers: Truthful mechanism for emergency demand response.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

An online procurement auction for power demand response in storage-assisted smart grids.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

A truthful (1-ε)-optimal mechanism for on-demand cloud resource provisioning.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

A truthful incentive mechanism for emergency demand response in colocation data centers.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Socially-optimal online spectrum auctions for secondary wireless communication.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Cost-Effective Low-Delay Cloud Video Conferencing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Responsive multipath TCP in SDN-based datacenters.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Hierarchical Virtual Machine Placement in Modular Data Centers.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

Cost-Minimizing Online VM Purchasing for Application Service Providers with Arbitrary Demands.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
A Geometric Perspective to Multiple-Unicast Network Coding.
IEEE Trans. Inf. Theory, 2014

The performance and locality tradeoff in bittorrent-like file sharing systems.
Peer-to-Peer Netw. Appl., 2014

Latency-minimizing data aggregation in wireless sensor networks under physical interference model.
Ad Hoc Networks, 2014

Randomized auction design for electricity markets between grids and microgrids.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

RSMOA: A revenue and social welfare maximizing online auction for dynamic cloud resource provisioning.
Proceedings of the IEEE 22nd International Symposium of Quality of Service, 2014

Dynamic pricing and profit maximization for the cloud with geo-distributed data centers.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Online algorithms for uploading deferrable big data to the cloud.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Dynamic resource provisioning in cloud computing: A randomized auction approach.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Socially-Optimal ISP-Aware P2P Content Distribution via a Primal-Dual Approach.
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014

Characterizing cascade dynamics in a microblogging system.
Proceedings of the IEEE International Conference on Communications, 2014

Federated Private Clouds via Broker's Marketplace: A Stackelberg-Game Perspective.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

Core-Selecting Auctions for Dynamically Allocating Heterogeneous VMs in Cloud Computing.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013
Signal Alignment: Enabling Physical Layer Network Coding for MIMO Networking.
IEEE Trans. Wirel. Commun., 2013

Aggregation Latency-Energy Tradeoff in Wireless Sensor Networks with Successive Interference Cancellation.
IEEE Trans. Parallel Distributed Syst., 2013

Peer-Assisted Social Media Streaming with Social Reciprocity.
IEEE Trans. Netw. Serv. Manag., 2013

CloudMoV: Cloud-Based Mobile Social TV.
IEEE Trans. Multim., 2013

A survey on cloud interoperability: taxonomies, standards, and practice.
SIGMETRICS Perform. Evaluation Rev., 2013

Moving Big Data to The Cloud: An Online Cost-Minimizing Approach.
IEEE J. Sel. Areas Commun., 2013

Cost Minimization in Multiple IaaS Clouds: A Double Auction Approach.
CoRR, 2013

vSkyConf: cloud-assisted multi-party mobile video conferencing.
Proceedings of the second ACM SIGCOMM workshop on Mobile cloud computing, 2013

Information multicast in (pseudo-)planar networks: Efficient network coding over small finite fields.
Proceedings of the International Symposium on Network Coding, 2013

Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds.
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013

On uniform matroidal networks.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Moving big data to the cloud.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Socially-optimal multi-hop secondary communication under arbitrary primary user mechanisms.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Profit-maximizing virtual machine trading in a federation of selfish clouds.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

SmartDPSS: Cost-Minimizing Multi-source Power Supply for Datacenters with Arbitrary Demand.
Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013

MultiGreen: cost-minimizing multi-source datacenter power supply with online control.
Proceedings of the Fourth International Conference on Future Energy Systems, 2013

An Auction and League Championship Algorithm Based Resource Allocation Mechanism for Distributed Cloud.
Proceedings of the Advanced Parallel Processing Technologies, 2013

2012
Diagnosing network-wide P2P live streaming inefficiencies.
ACM Trans. Multim. Comput. Commun. Appl., 2012

Auction-based P2P VoD streaming: Incentives and optimal scheduling.
ACM Trans. Multim. Comput. Commun. Appl., 2012

Characterizing Locality-aware P2P Streaming.
J. Commun., 2012

Dynamic scaling of VoD services into hybrid clouds with cost minimization and QoS guarantee.
Proceedings of the 19th International Packet Video Workshop, 2012

A geometric framework for investigating the multiple unicast network coding conjecture.
Proceedings of the International Symposium on Network Coding, 2012

Space information flow: Multiple unicast.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

A Resource Auction Based Allocation Mechanism in the Cloud Computing Environment.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Guiding internet-scale video service deployment using microblog-based prediction.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Stochastic optimal multirate multicast in socially selfish wireless networks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Exploring the Sustainability of Credit-incentivized Peer-to-Peer Content Distribution.
Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012

Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding.
Proceedings of the 21st International Conference on Computer Communications and Networks, 2012

Epidemic forwarding in mobile social networks.
Proceedings of IEEE International Conference on Communications, 2012

2011
On Dynamic Server Provisioning in Multichannel P2P Live Streaming.
IEEE/ACM Trans. Netw., 2011

<i>SMS</i>: Collaborative <i>S</i>\mathcal{S}treaming in <i>M</i>\mathcal{M}obile <i>S</i>\mathcal{S}ocial Networks.
Proceedings of the NETWORKING 2011, 2011

Physical Layer Network Coding with Signal Alignment for MIMO Wireless Networks.
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011

Utility-Maximizing Data Dissemination in Socially Selfish Cognitive Radio Networks.
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011

Peer-assisted online games with social reciprocity.
Proceedings of the 19th International Workshop on Quality of Service, 2011

Anonymous communication with network coding against traffic analysis attack.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Strategyproof auctions for balancing social welfare and fairness in secondary spectrum markets.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

CloudMedia: When Cloud on Demand Meets Video on Demand.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

2010
InstantLeap: an architecture for fast neighbor discovery in large-scale P2P VoD streaming.
Multim. Syst., 2010

Minimum-latency aggregation scheduling in wireless sensor networks under physical interference model.
Proceedings of the 13th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2010

UUSee: Large-Scale Operational On-Demand Streaming with Random Network Coding.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

The Performance and Locality Tradeoff in BitTorrent-Like P2P File-Sharing Systems.
Proceedings of IEEE International Conference on Communications, 2010

Strategies of Collaboration in Multi-Channel P2P VoD Streaming.
Proceedings of the Global Communications Conference, 2010

2009
InstantLeap: fast neighbor discovery in P2P VoD streaming.
Proceedings of the Network and Operating System Support for Digital Audio and Video, 2009

Why Are Peers Less Stable in Unpopular P2P Streaming Channels?.
Proceedings of the NETWORKING 2009, 2009

Distilling Superior Peers in Large-Scale P2P Streaming Systems.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

2008
Dynamic Bandwidth Auctions in Multioverlay P2P Streaming with Network Coding.
IEEE Trans. Parallel Distributed Syst., 2008

rStream: Resilient and Optimal Peer-to-Peer Streaming with Rateless Codes.
IEEE Trans. Parallel Distributed Syst., 2008

Exploring large-scale peer-to-peer live streaming topologies.
ACM Trans. Multim. Comput. Commun. Appl., 2008

Multi-Channel Live P2P Streaming: Refocusing on Servers.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

2007
Characterizing Peer-to-Peer Streaming Flows.
IEEE J. Sel. Areas Commun., 2007

Diverse: application-layer service differentiation in peer-to-peer communications.
IEEE J. Sel. Areas Commun., 2007

Outburst: Efficient Overlay Content Distribution with Rateless Codes.
Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

Optimal Rate Allocation in Overlay Content Distribution.
Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

Strategies of Conflict in Coexisting Streaming Overlays.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Magellan: Charting Large-Scale Peer-to-Peer Live Streaming Topologies.
Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), 2007

2006
Echelon: Peer-to-Peer Network Diagnosis with Network Coding.
Proceedings of the Quality of Service - IWQoS 2006: 14th International Workshop, 2006

2005
rStream: resilient peer-to-peer streaming with rateless codes.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

2002
Events recognition by semantic inference for sports video.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002


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