Chi Harold Liu

Affiliations:
  • Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
  • IBM Research, Beijing, China (former)
  • Imperial College, London, UK (PhD 2010)


According to our database1, Chi Harold Liu authored at least 178 papers between 2008 and 2024.

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Bibliography

2024
HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning.
IEEE Trans. Computers, March, 2024

QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning.
IEEE J. Sel. Areas Commun., March, 2024

Ensuring Threshold AoI for UAV-Assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning With Transformer.
IEEE/ACM Trans. Netw., February, 2024

Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

Visualization Generation with Large Language Models: An Evaluation.
CoRR, 2024

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024

2023
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.
IEEE Trans. Knowl. Data Eng., December, 2023

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs.
J. Cloud Comput., December, 2023

Meta Auxiliary Learning for Top-K Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Critical Classes and Samples Discovering for Partial Domain Adaptation.
IEEE Trans. Cybern., September, 2023

A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., July, 2023

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., April, 2023

Meta-Reweighted Regularization for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

Participant Selection for Federated Learning With Heterogeneous Data in Intelligent Transport System.
IEEE Trans. Intell. Transp. Syst., January, 2023

Parallel and Memory-Efficient Distributed Edge Learning in B5G IoT Networks.
IEEE J. Sel. Top. Signal Process., January, 2023

HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data.
IEEE Trans. Vis. Comput. Graph., 2023

Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2023

Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer.
IEEE Trans. Geosci. Remote. Sens., 2023

HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning.
CoRR, 2023

Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method.
CoRR, 2023

Evaluating Differential Privacy in Federated Continual Learning.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Evolving Standardization for Continual Domain Generalization over Temporal Drift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Dirichlet-based Uncertainty Calibration for Active Domain Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge.
IEEE Trans. Serv. Comput., 2022

Lightweight and Accurate DNN-Based Anomaly Detection at Edge.
IEEE Trans. Parallel Distributed Syst., 2022

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM.
IEEE Trans. Knowl. Data Eng., 2022

DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation.
IEEE Trans. Image Process., 2022

Energy-efficient client selection in federated learning with heterogeneous data on edge.
Peer-to-Peer Netw. Appl., 2022

Generalized Domain Conditioned Adaptation Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge.
CoRR, 2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Making The Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving Transferability for Domain Adaptive Detection Transformers.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources.
Proceedings of the IEEE INFOCOM 2022, 2022

AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Automatic Operator Performance Tumng in a Machine Learning System on Edge.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Causality Inspired Representation Learning for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Active Learning for Domain Adaptation: An Energy-Based Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms.
IEEE Trans. Parallel Distributed Syst., 2021

Accurate Differentially Private Deep Learning on the Edge.
IEEE Trans. Parallel Distributed Syst., 2021

Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning.
IEEE Trans. Netw. Sci. Eng., 2021

Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2021

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.
IEEE Trans. Knowl. Data Eng., 2021

Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Deep Residual Correction Network for Partial Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation.
CoRR, 2021

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation.
CoRR, 2021

Pareto Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LegoDNN: block-grained scaling of deep neural networks for mobile vision.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Passenger Payment Willingness Prediction by Static and Dynamic Multi-dimensional Ticket Attributes Fusion.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Modeling Citywide Crowd Flows using Attentive Convolutional LSTM.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Semantic Concentration for Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamic Domain Adaptation for Efficient Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Semantic Augmentation for Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2020

Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2020

Accelerating Deep Learning Systems via Critical Set Identification and Model Compression.
IEEE Trans. Computers, 2020

Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2020

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Domain Conditioned Adaptation Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers.
IEEE Trans. Parallel Distributed Syst., 2019

Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus.
IEEE Trans. Mob. Comput., 2019

Heterogeneous Multi-Task Assignment in Mobile Crowdsensing Using Spatiotemporal Correlation.
IEEE Trans. Mob. Comput., 2019

Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach.
IEEE Trans. Knowl. Data Eng., 2019

Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2019

Guest Editorial: Introduction to the Special Section on Sensor Data Computing as a Service in Internet of Things.
IEEE Trans. Emerg. Top. Comput., 2019

Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach.
IEEE J. Sel. Areas Commun., 2019

Towards secure and privacy preserving collision avoidance system in 5G fog based Internet of Vehicles.
Future Gener. Comput. Syst., 2019

Action Recognition with Bootstrapping based Long-range Temporal Context Attention.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Joint Adversarial Domain Adaptation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
A Mobile Computing Method Using CNN and SR for Signature Authentication with Contour Damage and Light Distortion.
Wirel. Commun. Mob. Comput., 2018

Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities.
IEEE Trans. Ind. Informatics, 2018

Optimal feature combination analysis for crowd saliency prediction.
J. Vis. Commun. Image Represent., 2018

Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2018

Learning to Navigate Connected Autonomous Cars for Long-Term Communication Coverage.
IT Prof., 2018

Hybrid Vehicular Crowdsourcing With Driverless Cars: Challenges and a Solution.
Computer, 2018

USA: Faster update for SDN-based internet of things sensory environments.
Comput. Commun., 2018

Experience-driven Networking: A Deep Reinforcement Learning based Approach.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Energy-Efficient Event Detection by Participatory Sensing Under Budget Constraints.
IEEE Syst. J., 2017

Energy-Aware Participant Selection for Smartphone-Enabled Mobile Crowd Sensing.
IEEE Syst. J., 2017

Personalized Multimedia Recommendations for Cloud-Integrated Cyber-Physical Systems.
IEEE Syst. J., 2017

Spectrum sensing in cognitive vehicular network: State-of-Art, challenges and open issues.
Comput. Commun., 2017

Ensuring High-Quality Data Collection for Mobile Crowd Sensing.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Study of the US road network based on social network analysis.
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017

2016
Cloud-Based Actor Identification With Batch-Orthogonal Local-Sensitive Hashing and Sparse Representation.
IEEE Trans. Multim., 2016

Energy-Aware Preferential Attachment Model for Wireless Sensor Networks with Improved Survivability.
KSII Trans. Internet Inf. Syst., 2016

Context-Awareness for Mobile Sensing: A Survey and Future Directions.
IEEE Commun. Surv. Tutorials, 2016

Privacy-preserving QoI-aware participant coordination for mobile crowdsourcing.
Comput. Networks, 2016

Credible and energy-aware participant selection with limited task budget for mobile crowd sensing.
Ad Hoc Networks, 2016

Crowd saliency prediction with optimal feature combinations.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Robots-Aided Participatory Crowdsourcing with Limited Task Budget.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

ZQL: A Unified Middleware Bridging Both Relational and NoSQL Databases.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Efficient On/Off-Line Query Pre-processing for Telecom Social Streaming Data.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015
Energy-Efficient and Context-Aware Smartphone Sensor Employment.
IEEE Trans. Veh. Technol., 2015

Energy-Efficient Relay Selection for Cooperative Relaying in Wireless Multimedia Networks.
IEEE Trans. Veh. Technol., 2015

Toward QoI and Energy Efficiency in Participatory Crowdsourcing.
IEEE Trans. Veh. Technol., 2015

Online War-Driving by Compressive Sensing.
IEEE Trans. Mob. Comput., 2015

An Event-Driven QoI-Aware Participatory Sensing Framework with Energy and Budget Constraints.
ACM Trans. Intell. Syst. Technol., 2015

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey.
IEEE Trans. Emerg. Top. Comput., 2015

Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds.
IEEE Trans. Comput. Soc. Syst., 2015

Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing.
Sensors, 2015

LTE-based humanoid robotics system.
Microprocess. Microsystems, 2015

Light-Weight Online Unsupervised Posture Detection by Smartphone Accelerometer.
IEEE Internet Things J., 2015

Context-aware Computing in the Internet of Things: A Survey on Internet of Things From Industrial Market Perspective.
CoRR, 2015

A Survey of Incentive Mechanisms for Participatory Sensing.
IEEE Commun. Surv. Tutorials, 2015

The Future of Smart Dressing Mirror: An Open Innovation Concept Video.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Crowdsourcing energy-efficient participants to ensure quality-of-information.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

Structural hole based link addition for capacity enhancement in scale-free networks.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Node density and connectivity of multi-channel ad hoc cognitive radio networks.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Energy-efficient dynamic event detection by participatory sensing.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Personalized online video recommendations by using adaptive feedback control frameworks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Distributed and Real-Time Query Framework for Processing Participatory Sensing Data Streams.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Maximizing Data Credibility Under Budget Constraint for Participatory Sensing.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014
Joint multi-radio multi-channel assignment, scheduling, and routing in wireless mesh networks.
Wirel. Networks, 2014

A Generic Admission-Control Methodology for Packet Networks.
IEEE Trans. Wirel. Commun., 2014

Adaptive Working Schedule for Duty-Cycle Opportunistic Mobile Networks.
IEEE Trans. Veh. Technol., 2014

QoI-Aware Multitask-Oriented Dynamic Participant Selection With Budget Constraints.
IEEE Trans. Veh. Technol., 2014

Toward QoI and Energy-Efficiency in Internet-of-Things Sensory Environments.
IEEE Trans. Emerg. Top. Comput., 2014

Mobile Cloud Computing: A Survey, State of Art and Future Directions.
Mob. Networks Appl., 2014

Automatic Person Identification in Camera Video by Motion Correlation.
J. Sensors, 2014

A survey of context-aware middleware designs for human activity recognition.
IEEE Commun. Mag., 2014

Efficient naming, addressing and profile services in Internet-of-Things sensory environments.
Ad Hoc Networks, 2014

A Survey on Internet of Things From Industrial Market Perspective.
IEEE Access, 2014

Scalable and Efficient Diagnosis for 5G Data Center Network Traffic.
IEEE Access, 2014

Multi-player gaming in public transport crowd: Opportunities and challenges.
Proceedings of the IEEE World Forum on Internet of Things, 2014

QoI-aware energy-efficient participant selection.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Control traffic protection in software-defined networks.
Proceedings of the IEEE Global Communications Conference, 2014

Personalized Video Recommendations with Both Historical and New Items.
Proceedings of the Cloud Computing - 5th International Conference, CloudComp 2014, Guilin, 2014

Diagnosing Virtualized Hadoop Performance from Benchmark Results: An Exploratory Study.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Sketching the data center network traffic.
IEEE Netw., 2013

Towards Energy-Efficiency in Selfish, Cooperative Networks.
Mob. Networks Appl., 2013

Summarizing Data Center Network Traffic by Partitioned Conservative Update.
IEEE Commun. Lett., 2013

Sensor Search Techniques for Sensing as a Service Architecture for The Internet of Things.
CoRR, 2013

Adaptive Sampling and Duty Cycling for Smartphone Accelerometer.
Proceedings of the IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013

Adaptive working schedule for duty-cycle opportunistic mobile networks.
Proceedings of IEEE International Conference on Communications, 2013

Fair and energy-efficient cooperative relaying with selfish nodes.
Proceedings of IEEE International Conference on Communications, 2013

2012
Exploring passenger dynamics and connectivities in Beijing underground via bluetooth networks.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference Workshops, 2012

Towards crowd-aware sensing platform for metropolitan environments.
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 2012

QoI-aware energy management in Internet-of-Things sensory environments.
Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

2011
Efficient network management for context-aware participatory sensing.
Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, 2011

QoI-aware energy management for wireless sensor networks.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

International workshop on networking and object memories for the internet of things (NOMe-IoT 2011).
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010
Dynamic Control of Data Ferries under Partial Observations.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

QoI-Aware Wireless Sensor Network Management for Dynamic Multi-Task Operations.
Proceedings of the Seventh Annual IEEE Communications Society Conference on Sensor, 2010

2009
Cross-Layer Design for QoS in Wireless Mesh Networks.
Wirel. Pers. Commun., 2009

An Efficient Cross-Layer Simulation Architecture for Mesh Networks.
Proceedings of the UKSim'11, 2009

Route Capacity Estimation Based Admission Control and QoS Routing for Mesh Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
A Distributed Scheduling Algorithm with QoS Provisions in Multi-hop Wireless Mesh Networks.
Proceedings of the IEEE International Conference on Wireless and Mobile Computing, 2008

A Cross-Layer Framework of QoS Routing and Distributed Scheduling for Mesh Networks.
Proceedings of the 67th IEEE Vehicular Technology Conference, 2008

Connection admission control and grade of service for QoS routing in mesh networks.
Proceedings of the IEEE 19th International Symposium on Personal, 2008

MIMO routing with QoS provisioning.
Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

A Novel Cross-Layer QoS Routing Algorithm for Wireless Mesh Networks.
Proceedings of the 2008 International Conference on Information Networking, 2008


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