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ORCIDJianwu Wang 0001
王建武
Person information
- unicode name: 王建武
- affiliation: University of California, San Diego, Supercomputer Center (SDSC), La Jolla, CA, USA
- affiliation (former): University of Maryland, Baltimore County, Department of Information Systems, Baltimore, MD, USA
- affiliation (former, PhD 2007): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Other persons with the same name
- Jianwu Wang — disambiguation page
- Jianwu Wang 0002
![[0000-0002-5489-0243]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5489-0243")
— Huangfengqiao State-Owned Forest Farm, Zhuzhou, China (and 1 more)
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2020 – today
- 2024
[c88]Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham:
CloudUNet: Adapting UNet for Retrieving Cloud Properties. IGARSS 2024: 7163-7167- [c87]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. ECML/PKDD (10) 2024: 3-18 - [c86]Sahara Ali, Omar Faruque, Jianwu Wang:
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. ECML/PKDD (3) 2024: 213-230 - [i14]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 abs/2401.16520 (2024) - [i13]Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang:
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. CoRR abs/2404.01466 (2024) - [i12]Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang:
YOLO based Ocean Eddy Localization with AWS SageMaker. CoRR abs/2404.06744 (2024) - [i11]Sahara Ali, Omar Faruque, Jianwu Wang:
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. CoRR abs/2405.08174 (2024) - [i10]Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang:
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method. CoRR abs/2408.14674 (2024) - 2023
- [j23]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): 2966-2982 (2023) - [c85]Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang:
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data 2023: 1410-1418 - [c84]Qitao Xie, Wenxi Lu, Qingquan Zhang, Lingxiu Zhang, Ting Zhu, Jianwu Wang:
Chatbot Integration for Metaverse - A University Platform Prototype. COINS 2023: 1-6 - [c83]Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang:
Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. DaWaK 2023: 149-157 - [c82]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: 512-519 - [c81]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: 659-666 - [c80]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: 689-696 - [c79]Louis Lapp, Sahara Ali, Jianwu Wang:
Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. ICMLA 2023: 1753-1758 - [c78]Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang:
CNN based Ocean Eddy Detection Using Cloud Services. IGARSS 2023: 4052-4055 - [c77]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: 90-105 - [c76]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: 90-97 - [i9]Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang:
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR abs/2302.08018 (2023) - [i8]Sahara Ali, Omar Faruque, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. CoRR abs/2303.07122 (2023) - [i7]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 abs/2304.14541 (2023) - [i6]Sahara Ali, Jianwu Wang:
MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. CoRR abs/2308.04511 (2023) - [i5]Weilong Ding, Tianpu Zhang, Jianwu Wang, Zhuofeng Zhao:
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction. CoRR abs/2308.05601 (2023) - 2022
- [j22]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: 323-335 (2022) - [j21]Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Q. 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: 105034 (2022) - [c75]Sahara Ali, Jianwu Wang:
MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. BDCAT 2022: 1-10 - [c74]Xingyan Li, Jian Li, Zachary Williams, Xin Huang, Mark Carroll, Jianwu Wang:
Enhanced Deep Learning Super-Resolution for Bathymetry Data. BDCAT 2022: 49-57 - [c73]Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj Al Mahmud Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue:
Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT 2022: 128-137 - [c72]Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang:
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS 2022: 107:1-107:10 - [c71]Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana P. Janeja:
Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS 2022: 4654-4657 - [i4]Xin Wang, Azim Khan, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman:
An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics. CoRR abs/2205.04622 (2022) - 2021
- [j20]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: 100212 (2021) - [j19]Pei Guo, Yiyi Huang, Jianwu Wang:
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. Big Data Res. 26: 100252 (2021) - [j18]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: 642182 (2021) - [j17]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): 456 (2021) - [j16]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): 3541 (2021) - [j15]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): 3407-3422 (2021) - [c70]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: 1847-1857 - [c69]Xin Wang, Pei Guo, Jianwu Wang:
Large-Scale Causality Discovery Analytics as a Service. IEEE BigData 2021: 3130-3140 - [c68]James R. Clavin, Yue Huang, Xin Wang, Pradeep M. Prakash, Sisi Duan, Jianwu Wang, Sean Peisert:
A Framework for Evaluating BFT. ICPADS 2021: 193-200 - [e1]Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 [contents] - [i3]Sahara Ali, Yiyi Huang, Xin Huang, Jianwu Wang:
Sea Ice Forecasting using Attention-based Ensemble LSTM. CoRR abs/2108.00853 (2021) - [i2]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 abs/2112.09762 (2021) - 2020
- [j14]Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang:
An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. IEEE Access 8: 178552-178562 (2020) - [j13]Weilong Ding, Zhuofeng Zhao, Jianwu Wang, Han Li:
Task Allocation in Hybrid Big Data Analytics for Urban IoT Applications. Trans. Data Sci. 1(3): 18:1-18:22 (2020) - [c67]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: 1330-1337 - [c66]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: 1745-1754 - [c65]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: 5182-5190 - [c64]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: 184-199 - [c63]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: 399-406 - [c62]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: 196-201 - [c61]Pei Guo, Achuna Ofonedu, Jianwu Wang:
Scalable and Hybrid Ensemble-Based Causality Discovery. SMDS 2020: 72-80
2010 – 2019
- 2019
- [j12]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: 159855-159867 (2019) - [j11]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): 4400 (2019) - [c60]Pei Guo, Chen Liu, Yan Tang, Jianwu Wang:
Parallel Gradient Boosting based Granger Causality Learning. IEEE BigData 2019: 2845-2854 - [c59]Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang:
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. IEEE BigData 2019: 3607-3615 - [c58]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: 3623-3631 - [c57]Peichang Shi, Qianqian Song, Janita Patwardhan, Zhibo Zhang, Jianwu Wang, Aryya Gangopadhyay:
A Hybrid Algorithm for Mineral Dust Detection Using Satellite Data. eScience 2019: 39-46 - [c56]Hailun Lin, Yong Liu, Peng Zhang, Jianwu Wang:
Representation Learning of Taxonomies for Taxonomy Matching. ICCS (1) 2019: 383-397 - [c55]Wenbin Zhang, Xuejiao Tang, Jianwu Wang:
On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops 2019: 1072-1079 - [c54]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: 231-236 - 2018
- [c53]Arjun Pandya, Chaitanya Kulkarni, Kunal Mali, Jianwu Wang:
An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. Bench 2018: 65-77 - [c52]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: 248-260 - [c51]Wenbin Zhang, Jianwu Wang:
Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM 2018: 1184-1188 - [c50]Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu:
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. BigData Congress 2018: 158-165 - [c49]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: 2027-2034 - [c48]Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang:
Blockchain Based Provenance Sharing of Scientific Workflows. IEEE BigData 2018: 3814-3820 - [c47]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: 788-794 - [i1]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 abs/1808.08315 (2018) - 2017
- [j10]Lina Zhou, Shimei Pan, Jianwu Wang, Athanasios V. Vasilakos:
Machine learning on big data: Opportunities and challenges. Neurocomputing 237: 350-361 (2017) - [c46]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: 121-128 - [c45]Wenbin Zhang, Jianwu Wang:
A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress 2017: 480-487 - [c44]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: 2829-2835 - [c43]Pei Guo, Jianwu Wang, Zhiyuan Chen:
A comparison of big data application programming approaches: A travel companion case study. IEEE BigData 2017: 2869-2878 - [c42]Shouli Zhang, Xiaohong Li, Jianwu Wang, Shen Su:
Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment. CollaborateCom 2017: 253-263 - [c41]Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han:
An Approach to Modeling and Discovering Event Correlation for Service Collaboration. ICSOC 2017: 191-205 - [c40]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: 902-905 - 2016
- [c39]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: 171-178 - [c38]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: 1322-1327 - [c37]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: 3432-3438 - [c36]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: 680-689 - [c35]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: 700-711 - 2015
- [j9]Zhuofeng Zhao, Weilong Ding, Jianwu Wang, Yanbo Han:
A Hybrid Processing System for Large-Scale Traffic Sensor Data. IEEE Access 3: 2341-2351 (2015) - [c34]Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas:
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData 2015: 2509-2516 - [c33]Meiling Zhu, Chen Liu, Jianwu Wang, Xiongbin Wang, Yanbo Han:
Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data. CCBD 2015: 73-80 - [c32]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: 5:1-5:8 - 2014
- [j8]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: 69 (2014) - [j7]Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li:
Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. 16(4): 11-21 (2014) - [j6]Yanbo Han, Jianwu Wang:
Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration. J. Grid Comput. 12(2): 187-189 (2014) - [j5]Chen Liu, Jianwu Wang, Yanbo Han:
Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling. J. Grid Comput. 12(2): 221-244 (2014) - [j4]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): 408-464 (2014) - [c31]Zhuofeng Zhao, Weilong Ding, Yanbo Han, Jianwu Wang:
A Spatio-temporal Parallel Processing System for Traffic Sensory Data. APSCC 2014: 48-54 - [c30]Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas:
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC 2014: 16-25 - [c29]Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl:
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS 2014: 546-556 - [c28]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: 1745-1755 - [c27]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: 2254-2259 - [c26]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: 2295-2305 - [c25]Yanbo Han, Jianwu Wang, Chen Liu:
The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message. SERVICES 2014: 145-146 - [c24]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: 161-168 - [c23]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: 378-384 - 2013
- [j3]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): 281-302 (2013) - [c22]Chen Liu, Jianwu Wang, Yanbo Han:
Situation-Aware Data Service Composition Based on Service Hyperlinks. WISE Workshops 2013: 153-167 - 2012
- [c21]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: 73-78 - [c20]Cheng Zhang, Xiaofang Zhao, Jianwu Wang:
An Item-Targeted User Similarity Method for Data Service Recommendation. EDOC Workshops 2012: 172-178 - [c19]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: 120 - [c18]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS 2012: 1620-1629 - [c17]Jianwu Wang, Ilkay Altintas:
Early Cloud Experiences with the Kepler Scientific Workflow System. ICCS 2012: 1630-1634 - 2011
- [c16]Daniel Crawl, Jianwu Wang, Ilkay Altintas:
Provenance for MapReduce-based data-intensive workflows. WORKS@SC 2011: 21-30 - [c15]Jianwu Wang, Prakashan Korambath, Ilkay Altintas:
A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. SERVICES 2011: 212-215 - [p1]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk:
Facilitating e-Science Discovery Using Scientific Workflows on the Grid. Guide to e-Science 2011: 353-382 - 2010
- [c14]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. 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 2010: 1175-1184
2000 – 2009
- 2009
- [c13]