Jianwu Wang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 75

Top Venues

Publications

Xingyan Li, Andrew M. Sayer, Ian T. Carroll, Xin Huang, Jianwu Wang
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval. CoRR (2024)
Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. CoRR (2024)
Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang
YOLO based Ocean Eddy Localization with AWS SageMaker. CoRR (2024)
Sahara Ali, Omar Faruque, Jianwu Wang
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. CoRR (2024)
Sahara Ali, Omar Faruque, Jianwu Wang
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. CoRR (2023)
Louis Lapp, Sahara Ali, Jianwu Wang
Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. ICMLA (2023)
Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James Foulds, Carl E. Busart, Robert F. Erbacher
Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. ICMLA (2023)
Qitao Xie, Wenxi Lu, Qingquan Zhang, Lingxiu Zhang, Ting Zhu, Jianwu Wang
Chatbot Integration for Metaverse - A University Platform Prototype. COINS (2023)
Rohan Putatunda, Azim Khan, Aryya Gangopadhyay, Jianwu Wang, Carl E. Busart, Robert F. Erbacher
Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge. SMARTCOMP (2023)
Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. CoRR (2023)
Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. ICMLA (2023)
Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang
CNN based Ocean Eddy Detection Using Cloud Services. IGARSS (2023)
Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang
Reproducible and Portable Big Data Analytics in the Cloud. IEEE Trans. Cloud Comput. 11 (3) (2023)
Weilong Ding, Tianpu Zhang, Jianwu Wang, Zhuofeng Zhao
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction. CoRR (2023)
Sahara Ali, Jianwu Wang
MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. CoRR (2023)
Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. ECML/PKDD (7) (2023)
Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang
Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. ICMLA (2023)
Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj A. M. Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue
Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT (2022)
Sahara Ali, Jianwu Wang
MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. BDCAT (2022)
Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Tong, Wendy Hawley Carande, Xiaogang Ma, Yuhan Rao, James A. Bednar, Amanda Tan, Jianwu Wang, Sanjay Purushotham, Thomas E. Gill, Julien Chastang, Daniel Howard, Benjamin Holt, Chandana Gangodagamage, Peisheng Zhao, Zachary Chester, Javier Orduz, Aji John
A review of Earth Artificial Intelligence. Comput. Geosci. 159 (2022)
Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS (2022)
Xin Wang, Azim Khan, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
An edge-cloud integrated framework for flexible and dynamic stream analytics. Future Gener. Comput. Syst. 137 (2022)
Sahara Ali, Seraj A. M. Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana P. Janeja
Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS (2022)
Jangho Lee, Yingxi Rona Shi, Changjie Cai, Pubu Ciren, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang
Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. Remote. Sens. 13 (3) (2021)
Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, Jianwu Wang
Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. IEEE BigData (2021)
Jonathan N. Basalyga, Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang
Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. Big Data Res. 25 (2021)
Pei Guo, Yiyi Huang, Jianwu Wang
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. Big Data Res. 26 (2021)
Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
Reproducible and Portable Big Data Analytics in the Cloud. CoRR (2021)
Weilong Ding, Zhe Wang, Jun Chen, Yanqing Xia, Jianwu Wang, Zhuofeng Zhao
Potential trend discovery for highway drivers on spatio-temporal data. Wirel. Networks 27 (5) (2021)
Yiyi Huang, Matthäus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. Frontiers Big Data 4 (2021)
Jianyu Zheng, Xin Huang, Supriya Sangondimath, Jianwu Wang, Zhibo Zhang
Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework. Remote. Sens. 13 (17) (2021)
Sahara Ali, Yiyi Huang, Xin Huang, Jianwu Wang
Sea Ice Forecasting using Attention-based Ensemble LSTM. CoRR (2021)
Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang
Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. IEEE BigData (2020)
Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang
An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. IEEE Access 8 (2020)
Ping Hou, Pei Guo, Peng Wu, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang
A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. SMARTCOMP (2020)
Weilong Ding, Zhuofeng Zhao, Jianwu Wang, Han Li
Task Allocation in Hybrid Big Data Analytics for Urban IoT Applications. Trans. Data Sci. 1 (3) (2020)
Jianwu Wang, Xin Huang, Jianyu Zheng, Chamara Rajapakshe, Savio Kay, Lakshmi Kandoor, Thomas Maxwell, Zhibo Zhang
Scalable Aggregation Service for Satellite Remote Sensing Data. ICA3PP (2) (2020)
Pei Guo, Achuna Ofonedu, Jianwu Wang
Scalable and Hybrid Ensemble-Based Causality Discovery. SMDS (2020)
Manzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. IEEE BigData (2020)
Arjun Pandya, Oluwatobiloba Odunsi, Chen Liu, Alfredo Cuzzocrea, Jianwu Wang
Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark. IEEE BigData (2020)
Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI (2020)
Wenbin Zhang, Xuejiao Tang, Jianwu Wang
On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops (2019)
Wanghu Chen, Jing Li, Xintian Li, Lizhi Zhang, Jianwu Wang
Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution. IEEE Access 7 (2019)
Peichang Shi, Qianqian Song, Janita Patwardhan, Zhibo Zhang, Jianwu Wang, Aryya Gangopadhyay
A Hybrid Algorithm for Mineral Dust Detection Using Satellite Data. eScience (2019)
Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. IEEE BigData (2019)
Hailun Lin, Yong Liu, Peng Zhang, Jianwu Wang
Representation Learning of Taxonomies for Taxonomy Matching. ICCS (1) (2019)
Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors 19 (20) (2019)
Shouli Zhang, Chen Liu, Jianwu Wang, Zhongguo Yang, Yanbo Han, Xiaohong Li
Latency-Aware Deployment of IoT Services in a Cloud-Edge Environment. ICSOC (2019)
Pei Guo, Chen Liuy, Yan Tang, Jianwu Wang
Parallel Gradient Boosting based Granger Causality Learning. IEEE BigData (2019)
Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. IEEE BigData (2019)
Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. BigData Congress (2018)
Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. CoRR (2018)
Peng Zhang, Yan Li, Hailun Lin, Jianwu Wang, Chuang Zhang
A Periodic Task-Oriented Scheduling Architecture in Cloud Computing. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. IEEE BigData (2018)
Arjun Pandya, Chaitanya Kulkarni, Kunal Mali, Jianwu Wang
An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. Bench (2018)
Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang
Blockchain Based Provenance Sharing of Scientific Workflows. IEEE BigData (2018)
Wenbin Zhang, Jianwu Wang
Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM (2018)
Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert
Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. Bench (2018)
Sai C. Pallaprolu, Rishi Sankineni, Muthukumar Thevar, George Karabatis, Jianwu Wang
Zero-Day Attack Identification in Streaming Data Using Semantics and Spark. BigData Congress (2017)
Wanghu Chen, Xintian Li, Jing Li, Jianwu Wang
Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. IEEE BigData (2017)
Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han
An Approach to Modeling and Discovering Event Correlation for Service Collaboration. ICSOC (2017)
Lina Zhou, Shimei Pan, Jianwu Wang, Athanasios V. Vasilakos
Machine learning on big data: Opportunities and challenges. Neurocomputing 237 (2017)
Wenbin Zhang, Jianwu Wang
A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress (2017)
Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han
Service Hyperlink: Modeling and Reusing Partial Process Knowledge by Mining Event Dependencies among Sensor Data Services. ICWS (2017)
Pei Guo, Jianwu Wang, Zhiyuan Chen
A comparison of big data application programming approaches: A travel companion case study. IEEE BigData (2017)
Shouli Zhang, Xiaohong Li, Jianwu Wang, Shen Su
Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment. CollaborateCom (2017)
Zhichuan Huang, Tiantian Xie, Ting Zhu, Jianwu Wang, Qingquan Zhang
Application-driven sensing data reconstruction and selection based on correlation mining and dynamic feedback. IEEE BigData (2016)
Jianwu Wang, Zhichuan Huang, Wenbin Zhang, Ankita Patil, Ketan Patil, Ting Zhu, Eric J. Shiroma, Mitchell A. Schepps, Tamara B. Harris
Wearable sensor based human posture recognition. IEEE BigData (2016)
Meiling Zhu, Chen Liu, Jianwu Wang, Xiongbin Wang, Yanbo Han
A Service-Friendly Approach to Discover Traveling Companions Based on ANPR Data Stream. SCC (2016)
Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS (2016)
Prakashan Korambath, Jianwu Wang, Ankur Kumar, Jim Davis, Robert B. Graybill, Brian Schott, Michael Baldea
A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows. ICCS (2016)
Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData (2015)
Meiling Zhu, Chen Liu, Jianwu Wang, Xiongbin Wang, Yanbo Han
Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data. CCBD (2015)
Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE (2015)
Zhuofeng Zhao, Weilong Ding, Jianwu Wang, Yanbo Han
A Hybrid Processing System for Large-Scale Traffic Sensor Data. IEEE Access 3 (2015)
Zhuofeng Zhao, Jun Fang, Weilong Ding, Jianwu Wang
An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems. SERVICES (2014)
Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Jennifer C. Stowe, Gabriel G. Haddad, Andrew D. McCulloch, Ilkay Altintas, Alexander C. Zambon
MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinform. 15 (2014)
Xiaoyu Yang, David Wallom, Simon Waddington, Jianwu Wang, Arif Shaon, Brian Matthews, Michael D. Wilson, Yike Guo, Li Guo, Jon D. Blower, Athanasios V. Vasilakos, Kecheng Liu, Philip Kershaw
Cloud computing in e-Science: research challenges and opportunities. J. Supercomput. 70 (1) (2014)
Zhuofeng Zhao, Weiling Ding, Yanbo Han, Jianwu Wang
A Spatio-temporal Parallel Processing System for Traffic Sensory Data. APSCC (2014)
Chen Liu, Jianwu Wang, Yanbo Han
Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling. J. Grid Comput. 12 (2) (2014)
Yanbo Han, Jianwu Wang
Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration. J. Grid Comput. 12 (2) (2014)
Pek U. Ieong, Jesper Sørensen, Prasantha L. Vemu, Celia W. Wong, Özlem Demir, Nadya P. Williams, Jianwu Wang, Daniel Crawl, Robert V. Swift, Robert D. Malmstrom, Ilkay Altintas, Rommie E. Amaro
Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS (2014)
Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li
Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. 16 (4) (2014)
Yanbo Han, Jianwu Wang, Chen Liu
The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message. SERVICES (2014)
Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES (2014)
Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC (2014)
Prakashan Korambath, Jianwu Wang, Ankur Kumar, Lorin Hochstein, Brian Schott, Robert B. Graybill, Michael Baldea, Jim Davis
Deploying Kepler Workflows as Services on a Cloud Infrastructure for Smart Manufacturing. ICCS (2014)
Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman
EPiK-a Workflow for Electron Tomography in Kepler. ICCS (2014)
Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS (2014)
Marcin Plóciennik, Tomasz Zok, Ilkay Altintas, Jianwu Wang, Daniel Crawl, David Abramson, Frederic Imbeaux, Bernard Guillerminet, Marcos López-Caniego, Isabel Campos Plasencia, Wojciech Pych, Pawel Ciecielag, Bartek Palak, Michal Owsiak, Yann Frauel
Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 128 (3) (2013)
Chen Liu, Jianwu Wang, Yanbo Han
Situation-Aware Data Service Composition Based on Service Hyperlinks. WISE Workshops (2013)
Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon
MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data. HISB (2012)
Jianwu Wang, Daniel Crawl, Ilkay Altintas
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS (2012)
Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops (2012)
Jianwu Wang, Ilkay Altintas
Early Cloud Experiences with the Kepler Scientific Workflow System. ICCS (2012)
Cheng Zhang, Xiaofang Zhao, Jianwu Wang
An Item-Targeted User Similarity Method for Data Service Recommendation. EDOC Workshops (2012)
Daniel Crawl, Jianwu Wang, Ilkay Altintas
Provenance for MapReduce-based data-intensive workflows. WORKS@SC (2011)
Jianwu Wang, Prakashan Korambath, Ilkay Altintas
A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. SERVICES (2011)
Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS (1) (2010)
Jianwu Wang, Daniel Crawl, Ilkay Altintas
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianwu Wang