Fan Zhou

Orcid: 0000-0002-8038-8150

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China (PhD 2011)


According to our database1, Fan Zhou authored at least 176 papers between 2010 and 2024.

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Bibliography

2024
Score-based Graph Learning for Urban Flow Prediction.
ACM Trans. Intell. Syst. Technol., June, 2024

Predicting Human Mobility via Self-Supervised Disentanglement Learning.
IEEE Trans. Knowl. Data Eng., May, 2024

Data Issues in High-Definition Maps Furniture - A Survey.
ACM Trans. Spatial Algorithms Syst., March, 2024

PGSL: A probabilistic graph diffusion model for source localization.
Expert Syst. Appl., March, 2024

Controlled graph neural networks with denoising diffusion for anomaly detection.
Expert Syst. Appl., March, 2024

Inferring Real Mobility in Presence of Fake Check-ins Data.
ACM Trans. Intell. Syst. Technol., February, 2024

Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction.
IEEE Trans. Cybern., January, 2024

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks.
Inf. Fusion, 2024

Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection.
CoRR, 2024

Information Diffusion Prediction via Cascade-Retrieved In-context Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Self-Explainable Next POI Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Analyzing and Mitigating Repetitions in Trip Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2024

Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Shallow Diffusion for Fast Speech Enhancement (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.
IEEE Trans. Big Data, December, 2023

MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition.
IEEE Trans. Mob. Comput., November, 2023

Semi-Supervised Anomaly Detection Via Neural Process.
IEEE Trans. Knowl. Data Eng., October, 2023

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng., October, 2023

Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

CCGL: Contrastive Cascade Graph Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Adversarial Human Trajectory Learning for Trip Recommendation.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.
IEEE Trans. Knowl. Data Eng., April, 2023

Improving session-based recommendation with contrastive learning.
User Model. User Adapt. Interact., March, 2023

Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach.
IEEE Trans. Ind. Informatics, 2023

Dynamic transformer ODEs for large-scale reservoir inflow forecasting.
Knowl. Based Syst., 2023

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility.
Neurocomputing, 2023

Exploring indirect entity relations for knowledge graph enhanced recommender system.
Expert Syst. Appl., 2023

Mixup-based Unified Framework to Overcome Gender Bias Resurgence.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RIPGeo: Robust Street-Level IP Geolocation.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Trajectory-User Linking via Trajectory Convolution.
Proceedings of the IEEE International Conference on Communications, 2023

Multi-modal Representation Learning for Social Post Location Inference.
Proceedings of the IEEE International Conference on Communications, 2023

Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint.
Proceedings of the IEEE International Conference on Acoustics, 2023

Self-Supervised Rumor Detection with Augmented Variational Graphs.
Proceedings of the IEEE Global Communications Conference, 2023

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A New Abnormal Node Detection Method With Dynamic Hoeffding Test.
IEEE Wirel. Commun. Lett., 2022

Contrastive Trajectory Learning for Tour Recommendation.
ACM Trans. Intell. Syst. Technol., 2022

MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning.
IEEE Trans. Cybern., 2022

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction.
IEEE Signal Process. Lett., 2022

Landslide Displacement Prediction via Attentive Graph Neural Network.
Remote. Sens., 2022

Identifying IP Usage Scenarios: Problems, Data, and Benchmarks.
IEEE Netw., 2022

Transformer-enhanced Hawkes process with decoupling training for information cascade prediction.
Knowl. Based Syst., 2022

Heterogeneous dynamical academic network for learning scientific impact propagation.
Knowl. Based Syst., 2022

Multi-view learning with distinguishable feature fusion for rumor detection.
Knowl. Based Syst., 2022

Variational cold-start resistant recommendation.
Inf. Sci., 2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining.
Inf. Sci., 2022

Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion.
Inf. Fusion, 2022

HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows.
Int. J. Intell. Syst., 2022

Social-trust-aware variational recommendation.
Int. J. Intell. Syst., 2022

Multi-scale graph capsule with influence attention for information cascades prediction.
Int. J. Intell. Syst., 2022

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances.
ACM Comput. Surv., 2022

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability.
CoRR, 2022

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs.
CoRR, 2022

Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph.
CoRR, 2022

Learning Latent Seasonal-Trend Representations for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Recommendation via Collaborative Diffusion Generative Model.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases.
Proceedings of the IEEE INFOCOM 2022, 2022

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2022

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Probabilistic Framework for Land Deformation Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models.
IEEE Trans. Neural Networks Learn. Syst., 2021

Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems.
IEEE Trans. Ind. Informatics, 2021

Self-supervised human mobility learning for next location prediction and trajectory classification.
Knowl. Based Syst., 2021

MetaRisk: Semi-supervised few-shot operational risk classification in banking industry.
Inf. Sci., 2021

Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning.
Inf. Process. Manag., 2021

DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi.
IEEE Internet Things J., 2021

Unifying Online and Offline Preference for Social Link Prediction.
INFORMS J. Comput., 2021

Uncertainty-aware network alignment.
Int. J. Intell. Syst., 2021

Modeling microscopic and macroscopic information diffusion for rumor detection.
Int. J. Intell. Syst., 2021

Improving human mobility identification with trajectory augmentation.
GeoInformatica, 2021

Learning meta-knowledge for few-shot image emotion recognition.
Expert Syst. Appl., 2021

Rumor Detection on Social Media with Event Augmentations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Predicting Vehicular Data Consumption.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Trajectory-User Linking via Graph Neural Network.
Proceedings of the ICC 2021, 2021

Probabilistic Graph Neural Networks for Traffic Signal Control.
Proceedings of the IEEE International Conference on Acoustics, 2021

Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Inferring High-Resolutional Urban Flow With Internet Of Mobile Things.
Proceedings of the IEEE International Conference on Acoustics, 2021

HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment.
Proceedings of the IEEE Global Communications Conference, 2021

Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction.
Proceedings of the IEEE Global Communications Conference, 2021

Detecting Abnormal Nodes in Cluster-tree Networks via the Likelihood Ratio Test of Packet Losses.
Proceedings of the IEEE Global Communications Conference, 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Land Deformation Prediction via Slope-Aware Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Forecasting Reservoir Inflow via Recurrent Neural ODEs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hybrid graph convolutional networks with multi-head attention for location recommendation.
World Wide Web, 2020

Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation.
ACM Trans. Spatial Algorithms Syst., 2020

Recommendation via Collaborative Autoregressive Flows.
Neural Networks, 2020

Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting.
IEEE Internet Things J., 2020

Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach.
INFORMS J. Comput., 2020

Session-based recommendation via flow-based deep generative networks and Bayesian inference.
Neurocomputing, 2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.
CoRR, 2020

Continual Graph Learning.
CoRR, 2020

Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization.
IEEE Access, 2020

Adversarial Mobility Learning for Human Trajectory Classification.
IEEE Access, 2020

Forecasting the Evolution of Hydropower Generation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Variational Information Diffusion for Probabilistic Cascades Prediction.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fast Network Alignment via Graph Meta-Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Enhancing Urban Flow Maps via Neural ODEs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversity-based Social Circles Inference via Context-Aware Mobility.
Proceedings of the IEEE Global Communications Conference, 2020

Unsupervised User Identity Linkage via Graph Neural Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Meta-Learned User Preference for Topic Participation Prediction.
Proceedings of the IEEE Global Communications Conference, 2020

Continual Information Cascade Learning.
Proceedings of the IEEE Global Communications Conference, 2020

Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Interpreting Twitter User Geolocation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference.
IEEE Access, 2019

Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding.
IEEE Access, 2019

DeepAttr: Inferring Demographic Attributes via Social Network Embedding.
IEEE Access, 2019

Predicting Human Mobility via Variational Attention.
Proceedings of the World Wide Web Conference, 2019

Adversarial Point-of-Interest Recommendation.
Proceedings of the World Wide Web Conference, 2019

Context-aware Variational Trajectory Encoding and Human Mobility Inference.
Proceedings of the World Wide Web Conference, 2019

Variational Session-based Recommendation Using Normalizing Flows.
Proceedings of the World Wide Web Conference, 2019

Information Cascades Modeling via Deep Multi-Task Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Disentangled Network Alignment with Matching Explainability.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Information Diffusion Prediction via Recurrent Cascades Convolution.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
DeepLink: A Deep Learning Approach for User Identity Linkage.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Trajectory-User Linking via Variational AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Trajectory-based social circle inference.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

vec2Link: Unifying Heterogeneous Data for Social Link Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Efficient detection of motion-trend predicates in wireless sensor networks.
Comput. Commun., 2017

Bypassing holes in sensor networks: Load-balance vs. latency.
Ad Hoc Networks, 2017

Identifying Human Mobility via Trajectory Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Association Rules Mining with Quantum Computing and Quantum Storage.
Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

2016
Efficient multi-account detection on UGC sites.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

ActiveRec: A Novel Context-Sensitive Ranking Method for Active Movie Recommendation.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

2013
Predicting audience gender in online content-sharing social networks.
J. Assoc. Inf. Sci. Technol., 2013

2012
Deflection-Aware Tracking-Principal Selection in Active Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2012

Motion Trends Detection in Wireless Sensor Networks.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Sensor synchronization for energy efficient multiple object tracking.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

2011
Tracking Coverage throughout Epochs with Bounded Uncertainty.
Proceedings of The Tenth IEEE International Symposium on Networking Computing and Applications, 2011

2010
Trajectory Data Reduction in Wireless Sensor Networks.
Int. J. Next Gener. Comput., 2010

Selecting tracking principals with epoch awareness.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010


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