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Jianwu Wang 0001
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
— Huangfengqiao State-Owned Forest Farm, Zhuzhou, China (and 1 more)
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2020 – today
- 2024
- [i13]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) - [i12]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) - [i11]Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang:
YOLO based Ocean Eddy Localization with AWS SageMaker. CoRR abs/2404.06744 (2024) - [i10]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) - 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) - [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]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS 2009 - [c12]Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones:
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I 2009: 267-274 - 2008
- [c11]Jianwu Wang, Ilkay Altintas, Chad Berkley, Lucas Gilbert, Matthew B. Jones:
A High-Level Distributed Execution Framework for Scientific Workflows. eScience 2008: 634-639 - [c10]Jianwu Wang, Jian Yu, Paolo Falcarin
, Yanbo Han, Maurizio Morisio:
An Approach to Domain-Specific Reuse in Service-Oriented Environments. ICSR 2008: 221-232 - 2006
- [j2]Yanbo Han, Hongcui Wang, Jianwu Wang, Shuying Yan, Cheng Zhang:
An End-User-Oriented Approach to Exploratory Service Compostion. J. Comput. Res. Dev. 43(11): 1895-1903 (2006) - [c9]Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu:
Personalized Active Service Spaces for End-User Service Composition. IEEE SCC 2006: 198-205 - [c8]He Huang, Zhongzhi Shi, Jianwu Wang, Rui Huang:
DDL: Embracing Actions into Semantic Web. Intelligent Information Processing 2006: 81-90 - [c7]Jian Yu, Tan Phan Manh, Jun Han, Yan Jin, Yanbo Han, Jianwu Wang:
Pattern Based Property Specification and Verification for Service Composition. WISE 2006: 156-168 - 2005
- [c6]Jian Yu, Jun Fang, Yanbo Han, Jianwu Wang, Chen Zhang:
An Approach to Abstracting and Transforming Web Services for End-user-doable Construction of Service-Oriented Applications. NODe/GSEM 2005: 248-258 - [c5]Jianwu Wang, Jian Yu, Yanbo Han:
A service modeling approach with business-level reusability and extensibility. SOSE 2005: 23-28 - 2004
- [c4]Jianwu Wang, Yanbo Han, Jing Wang, Gang Li:
An Approach to Dynamically Reconfiguring Service-Oriented Applications from a Business Perspective. AWCC 2004: 357-368 - [c3]Zhuofeng Zhao, Yanbo Han, Jianwu Wang, Kui Huang:
A Reflective Approach to Keeping Business Characteristics in Business-End Service Composition. WISE 2004: 479-490 - 2003
- [j1]Yanbo Han, Zhuofeng Zhao, Gang Li, Dongshan Xing, Qingzhong Lu, Jianwu Wang, Jinhua Xiong, Hao Liu:
CAFISE: An Approach to Enabling Adaptive Configuration of Service Grid Applications. J. Comput. Sci. Technol. 18(4): 484-494 (2003) - [c2]Gang Li, Jianwu Wang, Jing Wang, Yanbo Han, Zhuofeng Zhao, Roland M. Wagner, Haitao Hu:
MASON: A Model for Adapting Service-Oriented Grid Applications. GCC (1) 2003: 99-107 - [c1]Gang Li, Yanbo Han, Zhuofeng Zhao, Jianwu Wang, Roland M. Wagner:
An Adaptable Service Connector Model. SWDB 2003: 79-90
Coauthor Index
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