Yasha Wang

Orcid: 0000-0002-8026-9688

According to our database1, Yasha Wang authored at least 137 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.
CoRR, 2024

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.
CoRR, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR, 2024

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.
CoRR, 2024

2023
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients.
Patterns, December, 2023

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.
IEEE Trans. Knowl. Data Eng., November, 2023

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.
IEEE Trans. Big Data, August, 2023

An Adaptive Fusion Risk-Zone Detection Network and its Application.
Int. J. Pattern Recognit. Artif. Intell., May, 2023

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.
ACM Trans. Comput. Heal., January, 2023

Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting.
CoRR, 2023

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.
CoRR, 2023

Predict and Interpret Health Risk using EHR through Typical Patients.
CoRR, 2023

A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets.
CoRR, 2023

A ModelOps-based Framework for Intelligent Medical Knowledge Extraction.
CoRR, 2023

Graph Interpolation via Fast Fused-Gromovization.
CoRR, 2023

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset.
CoRR, 2023

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data.
Proceedings of the ACM Web Conference 2023, 2023

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries.
IEEE Trans. Big Data, 2022

M<sup>3</sup>Care: Learning with Missing Modalities in Multimodal Healthcare Data.
CoRR, 2022

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis.
CoRR, 2022

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering.
CoRR, 2022

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Generalization through the Lens of Angular Invariance.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DNA: Domain Generalization with Diversified Neural Averaging.
Proceedings of the International Conference on Machine Learning, 2022

Enhancing Robust Text Classification via Category Description.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
I<sup>3</sup>City: An Interoperated, Intelligent, and Integrated Platform for Smart City Ecosystem.
IT Prof., 2021

2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes].
IEEE Comput. Intell. Mag., 2021

Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Groupwise Explanations for Black-Box Models.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enabling Smart Urban Services with GPS Trajectory Data
Springer, ISBN: 978-981-16-0177-4, 2021

2020
DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.
IEEE Trans. Veh. Technol., 2020

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2020

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach.
Sensors, 2020

Understanding and Predicting the Burst of Burnout via Social Media.
Proc. ACM Hum. Comput. Interact., 2020

Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Topic-based crossing-workflow fragment discovery.
Future Gener. Comput. Syst., 2020

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis.
CoRR, 2020

StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Detecting Temporal Anomaly and Interestingness in Timed Business Process Models.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Distance Metric Learning with Joint Representation Diversification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions.
IEEE Wirel. Commun., 2019

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2019

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors.
IEEE Trans. Mob. Comput., 2019

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey.
IEEE Trans. Ind. Informatics, 2019

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes.
Pers. Ubiquitous Comput., 2019

基于领域偏好的可变时间窗口时序数据主题模式识别算法 (Time Series Motif Discovery Algorithm of Variable Length Based on Domain Preference).
计算机科学, 2019

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.
CoRR, 2019

Crowd-Assisted Machine Learning: Current Issues and Future Directions.
Computer, 2019

Supervised Nonnegative Tucker Decomposition for Computational Phenotyping.
Proceedings of the 2019 IEEE SmartWorld, 2019

Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study.
Proceedings of the 2019 IEEE SmartWorld, 2019

HISMA: A Human-Machine Iterative Schema Matching Algorithm.
Proceedings of the 2019 IEEE SmartWorld, 2019

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation.
Proceedings of the 2019 IEEE SmartWorld, 2019

Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications.
Proceedings of the 2019 IEEE SmartWorld, 2019

MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones.
Proceedings of the 2019 IEEE SmartWorld, 2019

Discovering Crossing-Workflow Fragments Based on Activity Knowledge Graph.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities.
Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Recommendation through Attentive Multi-View Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GP-selector: a generic participant selection framework for mobile crowdsourcing systems.
World Wide Web, 2018

Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance.
IEEE Trans. Mob. Comput., 2018

TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data.
IEEE Trans. Intell. Transp. Syst., 2018

SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.
ACM Trans. Intell. Syst. Technol., 2018

Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities.
IEEE Internet Things J., 2018

Training-Free Human Vitality Monitoring Using Commodity Wi-Fi Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.
CoRR, 2018

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries.
CoRR, 2018

Governments in the Age of Big Data and Smart Cities [Guest Editors' Introduction].
Computer, 2018

Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities.
IEEE Commun. Mag., 2018

CAPED: Context-Aware Powerlet-Based Energy Disaggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Characteristic Subspace Learning for Time Series Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices.
IEEE Trans. Mob. Comput., 2017

crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis.
IEEE Trans. Intell. Transp. Syst., 2017

CAPFF: A Context-Aware Assistant for Paper Form Filling.
IEEE Trans. Hum. Mach. Syst., 2017

Real-time and generic queue time estimation based on mobile crowdsensing.
Frontiers Comput. Sci., 2017

ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints.
Frontiers Comput. Sci., 2017

Motif-based Rule Discovery for Predicting Real-valued Time Series.
CoRR, 2017

GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016
Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget.
IEEE Internet Things J., 2016

A Context-Driven Worker Selection Framework for Crowd-Sensing.
Int. J. Distributed Sens. Networks, 2016

Sparse mobile crowdsensing: challenges and opportunities.
IEEE Commun. Mag., 2016

A Survey on Wi-Fi Based Contactless Activity Recognition.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Towards Future Situation-Awareness: A Conceptual Middleware Framework for Opportunistic Situation Identification.
Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2016

Mining Patterns of Disease Progression: A Topic-Model-Based Approach.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

WiDir: walking direction estimation using wireless signals.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Human respiration detection with commodity wifi devices: do user location and body orientation matter?
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

When can we detect human respiration with commodity wifi devices?
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Dynamic-MUSIC: accurate device-free indoor localization.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
一种面向浏览式购物行为模式的LBS购书移动应用 (Browse-shopping-behavior-pattern-oriented Indoor LBS Mobile Application for Book Shopping).
计算机科学, 2015

Lowering the Technical Threshold for Organizers to Create and Deliver Mobile Crowd Sensing Applications.
Int. J. Distributed Sens. Networks, 2015

WSelector: A Multi-scenario and Multi-view Worker Selection Framework for Crowd-Sensing.
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

Ubiquitous Intelligent Computing in 10 Years VS Chinese Kungfu.
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

Toward domain knowledge model for smart city: The core conceptual model.
Proceedings of the IEEE First International Smart Cities Conference, 2015

Anti-fall: A Non-intrusive and Real-Time Fall Detector Leveraging CSI from Commodity WiFi Devices.
Proceedings of the Inclusive Smart Cities and e-Health, 2015

CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2014
Situation Inference by Fusion of Opportunistically Available Contexts.
Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications.
Proceedings of the IEEE International Conference on Global Software Engineeering Workshops, 2014

A Participant Recruitment Framework for Crowdsourcing Based Software Requirement Acquisition.
Proceedings of the IEEE 9th International Conference on Global Software Engineering, 2014

2013
STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

How Does Acquirer's Participation Influence Performance of Software Projects: A Quantitative Analysis (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

QTime: A Queuing-Time Notification System Based on Participatory Sensing Data.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2011
A Novel Approach to Quantifying the Influence of Software Process on Project Performance.
Proceedings of the EAST 2011, 2011

2010
TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

Software Process Reuse by Pattern Weaving.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

An Automatic Approach to Aid Process Integration within a Secure Software Processes Family.
Proceedings of the New Modeling Concepts for Today's Software Processes, 2010

2009
User Perceived Response-time Optimization Method for Composite Web Services.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Weaving Process Patterns into Software Process Models.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Process Aspect: Handling Crosscutting Concerns during Software Process Improvement.
Proceedings of the Trustworthy Software Development Processes, 2009

An Automatic Compliance Checking Approach for Software Processes.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

2008
A Systematic Method for Process Tailoring Based on Knowledge Reuse.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

2007
Using Scenario Oriented Response-time Management for Composite Web Services.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

A Process Pattern Language for Agile Methods.
Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007

2006
A Quantitive Context Model of Software Process Patterns and Its Application Method.
Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006

2005
A Novel Media Access Control Algorithm Within Single Cluster in Hierarchical Ad Hoc Networks.
Proceedings of the Mobile Ad-hoc and Sensor Networks, First International Conference, 2005

A Process Management Tool Supporting Component-Based Process Development and Hierarchical Management Mechanism.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2004
Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition.
Proceedings of the Theoretical Aspects of Computing, 2004


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