MASON: A Model for Adapting Service-Oriented Grid Applications. - Gang Li 008; Jianwu Wang 001; Jing Wang 002; Yanbo Han; Zhuofeng Zhao; Roland M. Wagner; Haitao Hu (GCC (1), 2003)

An Adaptable Service Connector Model. - Gang Li 008; Yanbo Han; Zhuofeng Zhao; Jianwu Wang 001; Roland M. Wagner (SWDB, 2003)

CAFISE: An Approach to Enabling Adaptive Configuration of Service Grid Applications. - Yanbo Han; Zhuofeng Zhao; Gang Li 008; Dongshan Xing; Qingzhong Lu; Jianwu Wang 001; Jinhua Xiong; Hao Liu 001 (J. Comput. Sci. Technol., 2003)

An Approach to Dynamically Reconfiguring Service-Oriented Applications from a Business Perspective. - Jianwu Wang 001; Yanbo Han; Jing Wang 002; Gang Li 008 (AWCC, 2004)

A Reflective Approach to Keeping Business Characteristics in Business-End Service Composition. - Zhuofeng Zhao; Yanbo Han; Jianwu Wang 001; Kui Huang (WISE, 2004)

An Approach to Abstracting and Transforming Web Services for End-user-doable Construction of Service-Oriented Applications. - Jian Yu 002; Jun Fang 006; Yanbo Han; Jianwu Wang 001; Chen Zhang (NODe/GSEM, 2005)

A service modeling approach with business-level reusability and extensibility. - Jianwu Wang 001; Jian Yu 002; Yanbo Han (SOSE, 2005)

Personalized Active Service Spaces for End-User Service Composition. - Jun Han 004; Yanbo Han; Yan Jin; Jianwu Wang 001; Jian Yu 002 (IEEE SCC, 2006)

DDL: Embracing Actions into Semantic Web. - He Huang; Zhongzhi Shi; Jianwu Wang 001; Rui Huang (IIP, 2006)

Pattern Based Property Specification and Verification for Service Composition. - Jian Yu 002; Tan Phan Manh; Jun Han 004; Yan Jin; Yanbo Han; Jianwu Wang 001 (WISE, 2006)

An End-User-Oriented Approach to Exploratory Service Compostion. - Yanbo Han; Hongcui Wang; Jianwu Wang 001; Shuying Yan; Cheng Zhang 003 (J. Comput. Res. Dev., 2006)

A High-Level Distributed Execution Framework for Scientific Workflows. - Jianwu Wang 001; Ilkay Altintas; Chad Berkley; Lucas Gilbert; Matthew B. Jones (eScience, 2008)

An Approach to Domain-Specific Reuse in Service-Oriented Environments. - Jianwu Wang 001; Jian Yu 002; Paolo Falcarin; Yanbo Han; Maurizio Morisio (ICSR, 2008)

Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. - Jianwu Wang 001; Daniel Crawl; Ilkay Altintas (SC-WORKS, 2009)

Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. - Jianwu Wang 001; Ilkay Altintas; Parviez R. Hosseini; Derik Barseghian; Daniel Crawl; Chad Berkley; Matthew B. Jones (SERVICES I, 2009)

Theoretical enzyme design using the Kepler scientific workflows on the Grid. - Jianwu Wang 001; Prakashan Korambath; Seonah Kim; Scott A. Johnson; Kejian Jin; Daniel Crawl; Ilkay Altintas; Shava Smallen; Bill Labate; Kendall N. Houk (ICCS, 2010)

Provenance for MapReduce-based data-intensive workflows. - Daniel Crawl; Jianwu Wang 001; Ilkay Altintas (WORKS@SC, 2011)

A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. - Jianwu Wang 001; Prakashan Korambath; Ilkay Altintas (SERVICES, 2011)

Facilitating e-Science Discovery Using Scientific Workflows on the Grid. - Jianwu Wang 001; Prakashan Korambath; Seonah Kim; Scott A. Johnson; Kejian Jin; Daniel Crawl; Ilkay Altintas; Shava Smallen; Bill Labate; Kendall N. Houk (Guide to e-Science, 2011)

Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. - Ilkay Altintas; Jianwu Wang 001; Daniel Crawl; Weizhong Li 002 (EDBT/ICDT Workshops, 2012)

An Item-Targeted User Similarity Method for Data Service Recommendation. - Cheng Zhang 003; Xiaofang Zhao; Jianwu Wang 001 (EDOC Workshops, 2012)

MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data. - Zhuohui Gan; Jianwu Wang 001; Nathan Salomonis; Ilkay Altintas; Andrew D. McCulloch; Alexander C. Zambon (HISB, 2012)

Early Cloud Experiences with the Kepler Scientific Workflow System. - Jianwu Wang 001; Ilkay Altintas (ICCS, 2012)

A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. - Jianwu Wang 001; Daniel Crawl; Ilkay Altintas (ICCS, 2012)

Situation-Aware Data Service Composition Based on Service Hyperlinks. - Chen Liu 007; Jianwu Wang 001; Yanbo Han (WISE Workshops, 2013)

Approaches to Distributed Execution of Scientific Workflows in Kepler. - Marcin Plóciennik; Tomasz Zok; Ilkay Altintas; Jianwu Wang 001; Daniel Crawl; David Abramson 001; Frederic Imbeaux; Bernard Guillerminet; Marcos López-Caniego; Isabel Campos Plasencia; Wojciech Pych; Pawel Ciecielag; et al. (Fundam. Informaticae, 2013)

A Spatio-temporal Parallel Processing System for Traffic Sensory Data. - Zhuofeng Zhao; Weilong Ding; Yanbo Han; Jianwu Wang 001 (APSCC, 2014)

A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. - Jianwu Wang 001; Yan Tang; Mai H. Nguyen; Ilkay Altintas (BDC, 2014)

EPiK-a Workflow for Electron Tomography in Kepler. - Ruijuan Chen; Xiaohua Wan; Ilkay Altintas; Jianwu Wang 001; Daniel Crawl; Sebastien Phan; Albert F. Lawrence; Mark H. Ellisman (ICCS, 2014)

Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. - Pek U. Ieong; Jesper Sørensen; Prasantha L. Vemu; Celia W. Wong; Özlem Demir; Nadya P. Williams; Jianwu Wang 001; Daniel Crawl; Robert V. Swift; Robert D. Malmstrom; Ilkay Altintas; Rommie E. Amaro (ICCS, 2014)

Deploying Kepler Workflows as Services on a Cloud Infrastructure for Smart Manufacturing. - Prakashan Korambath; Jianwu Wang 001; Ankur Kumar; Lorin Hochstein; Brian Schott; Robert B. Graybill; Michael Baldea; Jim Davis (ICCS, 2014)

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. - Jianwu Wang 001; Prakashan Korambath; Ilkay Altintas; Jim Davis; Daniel Crawl (ICCS, 2014)

Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. - Wanghu Chen; Ilkay Altintas; Jianwu Wang 001; Jing Li (SERVICES, 2014)

The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message. - Yanbo Han; Jianwu Wang 001; Chen Liu 007 (SERVICES, 2014)

An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems. - Zhuofeng Zhao; Jun Fang 006; Weilong Ding; Jianwu Wang 001 (SERVICES, 2014)

MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. - Zhuohui Gan; Jianwu Wang 001; Nathan Salomonis; Jennifer C. Stowe; Gabriel G. Haddad; Andrew D. McCulloch; Ilkay Altintas; Alexander C. Zambon (BMC Bioinform., 2014)

Big Data Applications Using Workflows for Data Parallel Computing. - Jianwu Wang 001; Daniel Crawl; Ilkay Altintas; Weizhong Li 002 (Comput. Sci. Eng., 2014)

Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration. - Yanbo Han; Jianwu Wang 001 (J. Grid Comput., 2014)

Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling. - Chen Liu 007; Jianwu Wang 001; Yanbo Han (J. Grid Comput., 2014)

Cloud computing in e-Science: research challenges and opportunities. - Xiaoyu Yang; David Wallom; Simon Waddington; Jianwu Wang 001; Arif Shaon; Brian Matthews; Michael D. Wilson; Yike Guo; Li Guo 002; Jon D. Blower; Athanasios V. Vasilakos; Kecheng Liu; et al. (J. Supercomput., 2014)

Big data provenance: Challenges, state of the art and opportunities. - Jianwu Wang 001; Daniel Crawl; Shweta Purawat; Mai H. Nguyen; Ilkay Altintas (IEEE BigData, 2015)

Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data. - Meiling Zhu; Chen Liu 007; Jianwu Wang 001; Xiongbin Wang; Yanbo Han (CCBD, 2015)

FlowGate: towards extensible and scalable web-based flow cytometry data analysis. - Yu Qian; Hyunsoo Kim; Shweta Purawat; Jianwu Wang 001; Rick Stanton; Alexandra Lee; Weijia Xu; Ilkay Altintas; Robert S. Sinkovits; Richard H. Scheuermann (XSEDE, 2015)

A Hybrid Processing System for Large-Scale Traffic Sensor Data. - Zhuofeng Zhao; Weilong Ding; Jianwu Wang 001; Yanbo Han (IEEE Access, 2015)

A Service-Friendly Approach to Discover Traveling Companions Based on ANPR Data Stream. - Meiling Zhu; Chen Liu 007; Jianwu Wang 001; Xiongbin Wang; Yanbo Han (SCC, 2016)

Application-driven sensing data reconstruction and selection based on correlation mining and dynamic feedback. - Zhichuan Huang; Tiantian Xie; Ting Zhu 001; Jianwu Wang 001; Qingquan Zhang (IEEE BigData, 2016)

Wearable sensor based human posture recognition. - Jianwu Wang 001; Zhichuan Huang; Wenbin Zhang 002; Ankita Patil; Ketan Patil; Ting Zhu 001; Eric J. Shiroma; Mitchell A. Schepps; Tamara B. Harris (IEEE BigData, 2016)

A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows. - Prakashan Korambath; Jianwu Wang 001; Ankur Kumar; Jim Davis; Robert B. Graybill; Brian Schott; Michael Baldea (ICCS, 2016)

Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. - Jianwu Wang 001; Moustafa AbdelBaky; Javier Diaz Montes; Shweta Purawat; Manish Parashar; Ilkay Altintas (ICCS, 2016)

Zero-Day Attack Identification in Streaming Data Using Semantics and Spark. - Sai C. Pallaprolu; Rishi Sankineni; Muthukumar Thevar; George Karabatis; Jianwu Wang 001 (BigData Congress, 2017)

A Hybrid Learning Framework for Imbalanced Stream Classification. - Wenbin Zhang 002; Jianwu Wang 001 (BigData Congress, 2017)

Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. - Wanghu Chen; Xintian Li; Jing Li; Jianwu Wang 001 (IEEE BigData, 2017)

A comparison of big data application programming approaches: A travel companion case study. - Pei Guo; Jianwu Wang 001; Zhiyuan Chen 003 (IEEE BigData, 2017)

Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment. - Shouli Zhang; Xiaohong Li 001; Jianwu Wang 001; Shen Su (CollaborateCom, 2017)

An Approach to Modeling and Discovering Event Correlation for Service Collaboration. - Meiling Zhu; Chen Liu 007; Jianwu Wang 001; Shen Su; Yanbo Han (ICSOC, 2017)

Service Hyperlink: Modeling and Reusing Partial Process Knowledge by Mining Event Dependencies among Sensor Data Services. - Meiling Zhu; Chen Liu 007; Jianwu Wang 001; Shen Su; Yanbo Han (ICWS, 2017)

Machine learning on big data: Opportunities and challenges. - Lina Zhou; Shimei Pan; Jianwu Wang 001; Athanasios V. Vasilakos (Neurocomputing, 2017)

Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. - Carlos Barajas; Pei Guo; Lipi Mukherjee; Susan Hoban; Jianwu Wang 001; Daeho Jin; Aryya Gangopadhyay; Matthias K. Gobbert (Bench, 2018)

An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. - Arjun Pandya; Chaitanya Kulkarni; Kunal Mali; Jianwu Wang 001 (Bench, 2018)

Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. - Wenbin Zhang 002; Jianwu Wang 001 (BIBM, 2018)

Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. - Jianwu Wang 001; Chen Liu 007; Meiling Zhu; Pei Guo; Yapeng Hu (BigData Congress, 2018)

Blockchain Based Provenance Sharing of Scientific Workflows. - Wanghu Chen; Xiaoyan Liang; Jing Li; Hongwu Qin; Yuxiang Mu; Jianwu Wang 001 (IEEE BigData, 2018)

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. - Wenbin Zhang 002; Jianwu Wang 001; Daeho Jin; Lazaros Oreopoulos; Zhibo Zhang (IEEE BigData, 2018)

A Periodic Task-Oriented Scheduling Architecture in Cloud Computing. - Peng Zhang; Yan Li; Hailun Lin; Jianwu Wang 001; Chuang Zhang (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. - Carlos A. Barajas; Matthias K. Gobbert; Jianwu Wang 001 (IEEE BigData, 2019)

Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. - Wanghu Chen; Chao Wang; Jing Li; Bo Yang 043; Yang Liu; Jianwu Wang 001 (IEEE BigData, 2019)

Parallel Gradient Boosting based Granger Causality Learning. - Pei Guo; Chen Liu 007; Yan Tang; Jianwu Wang 001 (IEEE BigData, 2019)

A Hybrid Algorithm for Mineral Dust Detection Using Satellite Data. - Peichang Shi; Qianqian Song; Janita Patwardhan; Zhibo Zhang; Jianwu Wang 001; Aryya Gangopadhyay (eScience, 2019)

Representation Learning of Taxonomies for Taxonomy Matching. - Hailun Lin; Yong Liu 018; Peng Zhang; Jianwu Wang 001 (ICCS (1), 2019)

On Fairness-Aware Learning for Non-discriminative Decision-Making. - Wenbin Zhang 002; Xuejiao Tang; Jianwu Wang 001 (ICDM Workshops, 2019)

Latency-Aware Deployment of IoT Services in a Cloud-Edge Environment. - Shouli Zhang; Chen Liu 007; Jianwu Wang 001; Zhongguo Yang; Yanbo Han; Xiaohong Li 001 (ICSOC, 2019)

Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution. - Wanghu Chen; Jing Li; Xintian Li; Lizhi Zhang; Jianwu Wang 001 (IEEE Access, 2019)

PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. - Yan Tang; Jianwu Wang 001; Mai H. Nguyen; Ilkay Altintas (Sensors, 2019)

Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. - Xin Huang 005; Sahara Ali; Chenxi Wang; Zeyu Ning; Sanjay Purushotham; Jianwu Wang 001; Zhibo Zhang (IEEE BigData, 2020)

Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark. - Arjun Pandya; Oluwatobiloba Odunsi; Chen Liu 007; Alfredo Cuzzocrea; Jianwu Wang 001 (IEEE BigData, 2020)

Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. - Manzhu Yu; Julie Bessac; Ling Xu; Aryya Gangopadhyay; Yingxi Rona Shi; Jianwu Wang 001 (IEEE BigData, 2020)

Scalable Aggregation Service for Satellite Remote Sensing Data. - Jianwu Wang 001; Xin Huang 005; Jianyu Zheng; Chamara Rajapakshe; Savio Kay; Lakshmi Kandoor; Thomas Maxwell; Zhibo Zhang (ICA3PP (2), 2020)

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. - Wenbin Zhang 002; Mingli Zhang; Ji Zhang 001; Zhen Liu 017; Zhiyuan Chen 003; Jianwu Wang 001; Edward Raff; Enza Messina (ICTAI, 2020)

A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. - Ping Hou; Pei Guo; Peng Wu; Jianwu Wang 001; Aryya Gangopadhyay; Zhibo Zhang (SMARTCOMP, 2020)

Scalable and Hybrid Ensemble-Based Causality Discovery. - Pei Guo; Achuna Ofonedu; Jianwu Wang 001 (SMDS, 2020)

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. - Wanghu Chen; Bo Yang 043; Jing Li; Jianwu Wang 001 (IEEE Access, 2020)

Task Allocation in Hybrid Big Data Analytics for Urban IoT Applications. - Weilong Ding; Zhuofeng Zhao; Jianwu Wang 001; Han Li (Trans. Data Sci., 2020)

Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. - Eliot Kim; Peter Kruse; Skylar Lama; Jamal Bourne; Michael Hu; Sahara Ali; Yiyi Huang; Jianwu Wang 001 (IEEE BigData, 2021)

Large-Scale Causality Discovery Analytics as a Service. - Xin Wang 122; Pei Guo; Jianwu Wang 001 (IEEE BigData, 2021)

A Framework for Evaluating BFT. - James R. Clavin; Yue Huang; Xin Wang 122; Pradeep M. Prakash; Sisi Duan; Jianwu Wang 001; Sean Peisert (ICPADS, 2021)

Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. - Jonathan N. Basalyga; Carlos A. Barajas; Matthias K. Gobbert; Jianwu Wang 001 (Big Data Res., 2021)

Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. - Pei Guo; Yiyi Huang; Jianwu Wang 001 (Big Data Res., 2021)

Sea Ice Forecasting using Attention-based Ensemble LSTM. - Sahara Ali; Yiyi Huang; Xin Huang 005; Jianwu Wang 001 (CoRR, 2021)

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. - Yiyi Huang; Matthäus Kleindessner; Alexey A. Munishkin; Debvrat Varshney; Pei Guo; Jianwu Wang 001 (Frontiers Big Data, 2021)

Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. - Jangho Lee 001; Yingxi Rona Shi; Changjie Cai; Pubu Ciren; Jianwu Wang 001; Aryya Gangopadhyay; Zhibo Zhang (Remote. Sens., 2021)

Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework. - Jianyu Zheng; Xin Huang 005; Supriya Sangondimath; Jianwu Wang 001; Zhibo Zhang (Remote. Sens., 2021)

Potential trend discovery for highway drivers on spatio-temporal data. - Weilong Ding; Zhe Wang; Jun Chen; Yanqing Xia; Jianwu Wang 001; Zhuofeng Zhao (Wirel. Networks, 2021)

MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. - Sahara Ali; Jianwu Wang 001 (BDCAT, 2022)

Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. - Jorge López González; Theodore Chapman; Kathryn Chen; Hannah Nguyen; Logan Chambers; Seraj Al Mahmud Mostafa; Jianwu Wang 001; Sanjay Purushotham; Chenxi Wang; Jia Yue (BDCAT, 2022)

Enhanced Deep Learning Super-Resolution for Bathymetry Data. - Xingyan Li; Jian Li; Zachary Williams; Xin Huang 005; Mark Carroll; Jianwu Wang 001 (BDCAT, 2022)

VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. - Xin Huang 005; Chenxi Wang; Sanjay Purushotham; Jianwu Wang 001 (SIGSPATIAL/GIS, 2022)

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. - Sahara Ali; Seraj Al Mahmud Mostafa; Xingyan Li; Sara Khanjani; Jianwu Wang 001; James R. Foulds; Vandana P. Janeja (IGARSS, 2022)

An edge-cloud integrated framework for flexible and dynamic stream analytics. - Xin Wang 122; Azim Khan; Jianwu Wang 001; Aryya Gangopadhyay; Carl E. Busart; Jade Freeman (Future Gener. Comput. Syst., 2022)

A review of Earth Artificial Intelligence. - Ziheng Sun; Laura Sandoval; Robert Crystal-Ornelas; S. Mostafa Mousavi; Jinbo Wang 002; Cindy Lin; Nicoleta Cristea; Daniel Q. Tong; Wendy Hawley Carande; Xiaogang Ma 001; Yuhan Rao; James A. Bednar; et al. (Comput. Geosci., 2022)

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. - Xin Huang 005; Chenxi Wang; Wenbin Zhang 002; Sanjay Purushotham; Jianwu Wang 001 (IEEE Big Data, 2023)

Chatbot Integration for Metaverse - A University Platform Prototype. - Qitao Xie; Wenxi Lu; Qingquan Zhang; Lingxiu Zhang; Ting Zhu 001; Jianwu Wang 001 (COINS, 2023)

Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. - Xin Huang 005; Xiangyang Meng; Ni Zhao; Wenbin Zhang 002; Jianwu Wang 001 (DaWaK, 2023)

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. - Sahara Ali; Omar Faruque; Yiyi Huang; Md. Osman Gani; Aneesh Subramanian; Nicole-Jeanne Schlegel; Jianwu Wang 001 (ICMLA, 2023)

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. - Md. Azim Khan; Nadeem Ahmed; Joyce Padela; Muhammad Shehrose Raza; Aryya Gangopadhyay; Jianwu Wang 001; James R. Foulds; Carl E. Busart; Robert F. Erbacher (ICMLA, 2023)

Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. - Louis Lapp; Sahara Ali; Jianwu Wang 001 (ICMLA, 2023)

Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. - Katherine Yi; Angelina Dewar; Tartela Tabassum; Jason Lu; Ray Chen; Homayra Alam; Omar Faruque; Sikan Li; Mathieu Morlighem; Jianwu Wang 001 (ICMLA, 2023)

CNN based Ocean Eddy Detection Using Cloud Services. - Seraj Al Mahmud Mostafa; Jinbo Wang 002; Benjamin Holt; Sanjay Purushotham; Jianwu Wang 001 (IGARSS, 2023)

Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. - Omar Faruque; Francis Ndikum Nji; Mostafa Cham; Rohan Mandar Salvi; Xue Zheng; Jianwu Wang 001 (ECML/PKDD (7), 2023)

Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge. - Rohan Putatunda; Azim Khan; Aryya Gangopadhyay; Jianwu Wang 001; Carl E. Busart; Robert F. Erbacher (SMARTCOMP, 2023)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. - Zichong Wang; Yang Zhou 001; Meikang Qiu; Israat Haque 001; Laura Brown; Yi He 001; Jianwu Wang 001; David Lo 001; Wenbin Zhang 002 (CoRR, 2023)

Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. - Sahara Ali; Omar Faruque; Jianwu Wang 001 (CoRR, 2023)

Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction. - Weilong Ding; Tianpu Zhang; Jianwu Wang 001; Zhuofeng Zhao (CoRR, 2023)

Reproducible and Portable Big Data Analytics in the Cloud. - Xin Wang 122; Pei Guo; Xingyan Li; Aryya Gangopadhyay; Carl E. Busart; Jade Freeman; Jianwu Wang 001 (IEEE Trans. Cloud Comput., 2023)

Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data. - Omar Faruque; Xingyan Li; Md. Azim Khan; Homayra Alam; Jianwu Wang 001 (IEEE Big Data, 2024)

YOLO based Ocean Eddy Localization with AWS SageMaker. - Seraj Al Mahmud Mostafa; Jinbo Wang 002; Benjamin Holt; Jianwu Wang 001 (IEEE Big Data, 2024)

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. - Francis Ndikum Nji; Omar Faruque; Mostafa Cham; Vandana P. Janeja; Jianwu Wang 001 (IEEE Big Data, 2024)

Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression. - Olivia Zhang; Brianna Grissom; Julian Pulido; Kenia Munoz-Ordaz; Jonathan He; Mostafa Cham; Haotong Jing; Weikang Qian; Yixin Wen; Jianwu Wang 001 (IEEE Big Data, 2024)

Physics-Informed Machine Learning for Sea Ice Thickness Prediction. - Akila Sampath; Omar Faruque; Azim Khan; Vandana P. Janeja; Jianwu Wang 001 (ICKG, 2024)

gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method. - Seraj Al Mahmud Mostafa; Omar Faruque; Chenxi Wang; Jia Yue; Sanjay Purushotham; Jianwu Wang 001 (ICPR (3), 2024)

CloudUNet: Adapting UNet for Retrieving Cloud Properties. - Zahid Hassan Tushar; Adeleke Ademakinwa; Jianwu Wang 001; Zhibo Zhang; Sanjay Purushotham (IGARSS, 2024)

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. - Sahara Ali; Omar Faruque; Jianwu Wang 001 (ECML/PKDD (3), 2024)

MT-HCCAR: Multi-task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval. - Xingyan Li; Andrew M. Sayer; Ian T. Carroll; Xin Huang 005; Jianwu Wang 001 (ECML/PKDD (10), 2024)

Tutorial on Causal Inference with Spatiotemporal Data. - Sahara Ali; Jianwu Wang 001 (STCausal@SIGSPATIAL, 2024)

TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. - Omar Faruque; Sahara Ali; Xue Zheng; Jianwu Wang 001 (CoRR, 2024)

Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods. - Sahara Ali; Uzma Hasan; Xingyan Li; Omar Faruque; Akila Sampath; Yiyi Huang; Md. Osman Gani; Jianwu Wang 001 (CoRR, 2024)

Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features. - Zahra Khanjani; Tolulope Ale; Jianwu Wang 001; Lavon Davis; Christine Mallinson; Vandana P. Janeja (CoRR, 2024)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. - Emam Hossain; Muhammad Hasan Ferdous; Jianwu Wang 001; Aneesh Subramanian; Md. Osman Gani (PerCom Workshops, 2025)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. - Emam Hossain; Muhammad Hasan Ferdous; Jianwu Wang 001; Aneesh C. Subramanian; Md. Osman Gani (CoRR, 2025)

Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models. - Md. Azim Khan; Aryya Gangopadhyay; Jianwu Wang 001; Robert F. Erbacher (CoRR, 2025)

Joint Retrieval of Cloud properties using Attention-based Deep Learning Models. - Zahid Hassan Tushar; Adeleke Ademakinwa; Jianwu Wang 001; Zhibo Zhang; Sanjay Purushotham (CoRR, 2025)

Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling. - Seraj Al Mahmud Mostafa; Chenxi Wang; Jia Yue; Yuta Hozumi; Jianwu Wang 001 (CoRR, 2025)

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. - Bayu Adhi Tama; Mansa Krishna; Homayra Alam; Mostafa Cham; Omar Faruque; Gong Cheng; Jianwu Wang 001; Mathieu Morlighem; Vandana Pursnani Janeja (CoRR, 2025)

Multi-Graph Spatio-Temporal Convolution for Traffic Flow Prediction Focusing on Edge Derived Imbalanced Data From Highway Electronics. - Weilong Ding; Tianpu Zhang; Honghao Gao; Qi Yu; Jianwu Wang 001; Zhuofeng Zhao (IEEE Trans. Consumer Electron., 2025)