Yanyan Shen

Orcid: 0000-0001-8364-3674

According to our database1, Yanyan Shen authored at least 200 papers between 2008 and 2024.

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Bibliography

2024
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024

Joint Trajectory Design and Resource Allocation in UAV-Enabled Heterogeneous MEC Systems.
IEEE Internet Things J., October, 2024

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks.
IEEE Trans. Cybern., September, 2024

Efficient Training of Graph Neural Networks on Large Graphs.
Proc. VLDB Endow., August, 2024

Outage Constrained Max-Min Secrecy Rate Optimization for IRS-Aided SWIPT Systems With Artificial Noise.
IEEE Internet Things J., March, 2024

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically.
Proc. ACM Manag. Data, February, 2024

ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs.
Proc. VLDB Endow., January, 2024

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement.
Proc. ACM Manag. Data, 2024

UAV-Enabled Data Collection for IoT Networks via Rainbow Learning.
CoRR, 2024

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database.
CoRR, 2024

Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning.
CoRR, 2024

Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition.
CoRR, 2024

How Good Are Multi-dimensional Learned Indices? An Experimental Survey.
CoRR, 2024

Intelligent Reflecting Surface Aided Mobile Edge Computing with Rate-Splitting Multiple Access.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts.
Proceedings of the Database Systems for Advanced Applications, 2024

PKBC: A Product-Specific Knowledge base Taxonomy Framework.
Proceedings of the Database Systems for Advanced Applications, 2024

Cost-Aware Outdated Facts Correction in the Knowledge Bases.
Proceedings of the Database Systems for Advanced Applications, 2024

Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MASTER: Market-Guided Stock Transformer for Stock Price Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Average AoI minimization for data collection in UAV-enabled IoT backscatter communication systems with the finite blocklength regime.
Ad Hoc Networks, June, 2023

RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
ACM Trans. Inf. Syst., 2023

Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank.
Proc. VLDB Endow., 2023

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU.
Proc. ACM Manag. Data, 2023

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees.
Proc. ACM Manag. Data, 2023

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation.
Proc. ACM Manag. Data, 2023

Maximizing Energy Efficiency in UAV-Assisted NOMA-MEC Networks.
IEEE Internet Things J., 2023

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey.
CoRR, 2023

Resource Configuration for Throughput Maximization in UAV-WPCN With Intelligent Reflecting Surface.
IEEE Access, 2023

Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Narrow the Input Mismatch in Deep Graph Neural Network Distillation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Feature Staleness Aware Incremental Learning for CTR Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Incremental Learning for Multi-Interest Sequential Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

HIT - An Effective Approach to Build a Dynamic Financial Knowledge Base.
Proceedings of the Database Systems for Advanced Applications, 2023

TE-DyGE: Temporal Evolution-Enhanced Dynamic Graph Embedding Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Rainfall Spatial Interpolation with Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer's Disease.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Human-in-the-Loop Vehicle ReID.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Special issue on responsible data management and data science.
VLDB J., 2022

An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment.
IEEE Trans. Neural Networks Learn. Syst., 2022

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis.
IEEE Trans. Medical Imaging, 2022

MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation.
ACM Trans. Knowl. Discov. Data, 2022

SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks.
Proc. VLDB Endow., 2022

Brain stroke lesion segmentation using consistent perception generative adversarial network.
Neural Comput. Appl., 2022

LECF: recommendation via learnable edge collaborative filtering.
Sci. China Inf. Sci., 2022

Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning.
Proceedings of the 96th Vehicular Technology Conference, 2022

HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Camel: Managing Data for Efficient Stream Learning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Time-aware Multi-interest Capsule Network for Sequential Recommendation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Dynamic Community Detection via Adversarial Temporal Graph Representation Learning.
Proceedings of the Neural Computing for Advanced Applications, 2022

Brain MR Images Super-Resolution with the Consistent Features.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

SRT: Shape Reconstruction Transformer for 3D Reconstruction of Point Cloud from 2D MRI.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Resolving Training Biases via Influence-based Data Relabeling.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Feature-Oriented Sampling for Fast and Scalable GNN Training.
Proceedings of the IEEE International Conference on Data Mining, 2022

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Tab-HGNN: Learning Column Representation with Heterogeneous Graph Neural Network for Web Table Interpretation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction.
IEEE Trans. Knowl. Data Eng., 2021

Dual-Embedding based Deep Latent Factor Models for Recommendation.
ACM Trans. Knowl. Discov. Data, 2021

Introduction to the Special Issue on Data Science for Next Generation Big Data.
Trans. Data Sci., 2021

Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision.
IEEE Trans Autom. Sci. Eng., 2021

ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse.
Proc. VLDB Endow., 2021

Joint 3-D Trajectory and Resource Optimization in Multi-UAV-Enabled IoT Networks With Wireless Power Transfer.
IEEE Internet Things J., 2021

A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease.
CoRR, 2021

DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease.
CoRR, 2021

Robust energy efficient maximization in wireless powered CRNs based on power splitting.
Comput. Networks, 2021

GNEM: A Generic One-to-Set Neural Entity Matching Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.
Proceedings of the WSDM '21, 2021

DRL based Data Offloading for Intelligent Reflecting Surface Aided Mobile Edge Computing.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Average AoI Minimization in UAV-Assisted IoT Backscatter Communication Systems with Updated Information.
Proceedings of the 2021 IEEE SmartWorld, 2021

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Resource Allocation and Trajectory Optimization for UAV Assisted Mobile Edge Computing Systems with Energy Harvesting.
Proceedings of the Neural Computing for Advanced Applications, 2021

Cervical Spondylotic Myelopathy Segmentation Using Shape-Aware U-net.
Proceedings of the Neural Computing for Advanced Applications, 2021

GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

LHist: Towards Learning Multi-dimensional Histogram for Massive Spatial Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Palette: Towards Multi-source Model Selection and Ensemble for Reuse.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Fault Diagnosis of Nonlinear Systems using a Hybrid-Degree Dual Cubature-based Estimation Scheme.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

BOUNCE: An Efficient Selective Enumeration Approach for Nested Named Entity Recognition.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
GAT: A Unified GPU-Accelerated Framework for Processing Batch Trajectory Queries.
IEEE Trans. Knowl. Data Eng., 2020

AR<sup>2</sup>Net: An Attentive Neural Approach for Business Location Selection with Satellite Data and Urban Data.
ACM Trans. Knowl. Discov. Data, 2020

LibreKV: A Persistent in-Memory Key-Value Store.
IEEE Trans. Emerg. Top. Comput., 2020

Stable Learned Bloom Filters for Data Streams.
Proc. VLDB Endow., 2020

Optimizing DNN Computation Graph using Graph Substitutions.
Proc. VLDB Endow., 2020

Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines.
Neural Networks, 2020

DASFAA 20202 Special Issue Editorial.
Data Sci. Eng., 2020

Differentiable Neural Input Search for Recommender Systems.
CoRR, 2020

Resource configuration for minimizing source energy consumption in multi-carrier networks with energy harvesting relay and data-rate guarantee.
Comput. Commun., 2020

Low complexity resource allocation algorithms for chunk based OFDMA multi-user networks with max-min fairness.
Comput. Commun., 2020

Energy-efficient resource allocation in wireless powered CCRNs with simultaneous wireless information and power transfer.
Comput. Commun., 2020

Multi-Context Attention for Entity Matching.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Intent Preference Decoupling for User Representation on Online Recommender System.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Finish Them on the Fly: An Incentive Mechanism for Real-Time Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2020

DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Microkernel mechanisms for improving the trustworthiness of commodity hardware.
PhD thesis, 2019

Leveraging app usage contexts for app recommendation: a neural approach.
World Wide Web, 2019

Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems.
IEEE Trans. Knowl. Data Eng., 2019

Fine-Grained Air Quality Inference with Remote Sensing Data and Ubiquitous Urban Data.
ACM Trans. Knowl. Discov. Data, 2019

CATIRI: An Efficient Method for Content-and-Text Based Image Retrieval.
J. Comput. Sci. Technol., 2019

Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer's disease.
Neurocomputing, 2019

DMDP: A Dynamic Multi-source Default Probability Prediction Framework.
Data Sci. Eng., 2019

Revisiting Flow Information for Traffic Prediction.
CoRR, 2019

Sum Rate Maximization for Multi-Carrier SWIPT Relay System With Non-Ideal Power Amplifier and Circuit Power Consumption.
IEEE Access, 2019

Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Attention-Based Hierarchical Recurrent Neural Network for Phenotype Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Relation Extraction via Domain-aware Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LADD: A Length-Adaptive Approach to Detecting Taxi Anomalous Detours.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Fault Tolerance Through Redundant Execution on COTS Multicores: Exploring Trade-Offs.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

A Multi-task Learning Framework for Automatic Early Detection of Alzheimer's.
Proceedings of the Database Systems for Advanced Applications, 2019

A Frequency-Aware Spatio-Temporal Network for Traffic Flow Prediction.
Proceedings of the Database Systems for Advanced Applications, 2019

Diagnosis, Prognosis and Health Monitoring of Electro Hydraulic Servo Valves (EHSV) using Particle Filters.
Proceedings of the 6th International Conference on Control, 2019

TRPN: Matrix Factorization Meets Recurrent Neural Network for Temporal Rating Prediction.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Top-kCritical Vertices Query on Shortest Path.
IEEE Trans. Knowl. Data Eng., 2018

Energy-Efficient Resource Allocation for Time-Varying OFDMA Relay Systems With Hybrid Energy Supplies.
IEEE Syst. J., 2018

HMVFS: A Versioning File System on DRAM/NVM Hybrid Memory.
J. Parallel Distributed Comput., 2018

HMFS: A hybrid in-memory file system with version consistency.
J. Parallel Distributed Comput., 2018

NVHT: An efficient key-value storage library for non-volatile memory.
J. Parallel Distributed Comput., 2018

SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles.
Inf. Sci., 2018

Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.
Int. J. Neural Syst., 2018

Big Data Integration for Product Specifications.
IEEE Data Eng. Bull., 2018

STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics.
CoRR, 2018

Explaining Latent Factor Models for Recommendation with Influence Functions.
CoRR, 2018

Skeletal Maturity Recognition Using a Fully Automated System With Convolutional Neural Networks.
IEEE Access, 2018

Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Inferring Dockless Shared Bike Distribution in New Cities.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Lessons Learned and Research Agenda for Big Data Integration of Product Specifications.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Cruising or Waiting: A Shared Recommender System for Taxi Drivers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Transfer Learning via Feature Isomorphism Discovery.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Refine or Represent: Residual Networks with Explicit Channel-wise Configuration.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Mining Magnitude-Oblivious Periodical Patterns of Dockless Shared Bike Demands.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Forecasting Wavelet Transformed Time Series with Attentive Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention.
Proceedings of the IEEE International Conference on Data Mining, 2018

A GPU-Accelerated Framework for Processing Trajectory Queries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction.
Proceedings of the Conceptual Modeling - 37th International Conference, 2018

Fusing Satellite Data and Urban Data for Business Location Selection: A Neural Approach.
Proceedings of the Database Systems for Advanced Applications, 2018

An Adaptive Eviction Framework for Anti-caching Based In-Memory Databases.
Proceedings of the Database Systems for Advanced Applications, 2018

A Road-Aware Neural Network for Multi-step Vehicle Trajectory Prediction.
Proceedings of the Database Systems for Advanced Applications, 2018

DMDP^2 D M D P 2 : A Dynamic Multi-source Based Default Probability Prediction Framework.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

A Data Driven Approach to Predicting Rating Scores for New Restaurants.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Stock Price Prediction Using Attention-based Multi-Input LSTM.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Subcarrier-Pairing-Based Resource Optimization for OFDM Wireless Powered Relay Transmissions With Time Switching Scheme.
IEEE Trans. Signal Process., 2017

Fair Resource Allocation Algorithm for Chunk Based OFDMA Multi-User Networks.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

A DAX-enabled mmap mechanism for log-structured in-memory file systems.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Adaptive Prefetching for Accelerating Read and Write in NVM-Based File Systems.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Automatic Recognition of Mild Cognitive Impairment from MRI Images Using Expedited Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Cooperative Multi-relay Assisted Multicast Beamforming in Wirelessly Powered Communications.
Proceedings of the 2017 IEEE International Conference on Computer and Information Technology, 2017

2016
An Evaluation of Coarse-Grained Locking for Multicore Microkernels.
CoRR, 2016

epiCG: A GraphUnit Based Graph Processing Engine on epiC.
Big Data Res., 2016

Robust Relay Beamforming in Device-to-Device Networks with Energy Harvesting Constraints.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

NVHT: an efficient key-value storage library for non-volatile memory.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015
Opportunistic multichannel access with decentralized channel state information.
Wirel. Commun. Mob. Comput., 2015

DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web.
Proc. VLDB Endow., 2015

Robust Power Control for Cognitive Radio Networks with Proportional Rate Fairness.
ICT Express, 2015

Hadoop-Based Analysis for Large-Scale Click-Through Patterns in 4G Network.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2015

Unknown input estimation based sliding mode control for EGR-VGT diesel engine air-path.
Proceedings of the 4th International Conference on Systems and Control, 2015

Alternate convex search method for resource allocation in OFDMA AF relay networks with energy harvesting.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Resource Allocation for OFDMA Relay Networks with Wireless Information and Power Transfer.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Microkernel Mechanisms for Improving the Trustworthiness of Commodity Hardware.
Proceedings of the 11th European Dependable Computing Conference, 2015

2014
Resource allocation with proportional rate fairness in orthogonal frequency division multiple access relay networks.
Wirel. Commun. Mob. Comput., 2014

Fast Failure Recovery in Distributed Graph Processing Systems.
Proc. VLDB Endow., 2014

Discovering queries based on example tuples.
Proceedings of the International Conference on Management of Data, 2014

Modeling and analysis of gene regulatory networks with a Bayesian-driven approach.
Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

Resource allocation based on subcarrier grouping in OFDMA cognitive radio networks.
Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

2013
Control Synthesis for a Class of Linear Network-Based Systems With Communication Constraints.
IEEE Trans. Ind. Electron., 2013

Increasing the trustworthiness of commodity hardware through software.
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

2012
Fair Resource Allocation and Admission Control in Wireless Multiuser Amplify-and-Forward Relay Networks.
IEEE Trans. Veh. Technol., 2012

Efficient Processing of k Nearest Neighbor Joins using MapReduce.
Proc. VLDB Endow., 2012

CDAS: A Crowdsourcing Data Analytics System.
Proc. VLDB Endow., 2012

2011
Distributed fair resource allocation in wireless multi-user multi-relay networks with heterogeneous rate constraints.
Proceedings of the 11th International Symposium on Communications and Information Technologies, 2011

Energy-aware opportunistic channel access with decentralized channel state information.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Threshold-Based Multichannel Access with Energy Constraint.
Proceedings of IEEE International Conference on Communications, 2010

2009
Channel-Aware Access for Cognitive Radio Networks.
IEEE Trans. Veh. Technol., 2009

Delay-dependent stability and H<sub>infinity</sub> control for a class of fuzzy descriptor systems with time-delay.
Fuzzy Sets Syst., 2009

Fair resource allocation using bargaining over OFDMA relay networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Distributed power control and random access for spectrum sharing with QoS constraint.
Comput. Commun., 2008


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