Jianwu Wang - RankMe

160 papers A 3B 20C 13Misc 9Journal 54Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PhysE-Inv: A Physics-Encoded Inverse Modeling approach for Arctic Snow Depth Prediction. CoRR Akila Sampath, Vandana P. Janeja, Jianwu Wang
2026	J	`jnl`	Time-Varying Causal Treatment for Quantifying the Causal Effect of Short-Term Variations on Arctic Sea Ice Dynamics. CoRR Akila Sampath, Vandana P. Janeja, Jianwu Wang
2025	J	`jnl`	Attention-Guided Deep Adversarial Temporal Subspace Clustering (A-DATSC) Model for multivariate spatiotemporal data. CoRR Francis Ndikum Nji, Vandana P. Janeja, Jianwu Wang
2025	—	`conf`	B-TGAT: A BI-Directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data. ICDM (Workshops) Francis Ndikum Nji, Vandana Janeja, Jianwu Wang
2025	J	`jnl`	B-TGAT: A Bi-directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data. CoRR Francis Ndikum Nji, Vandana P. Janeja, Jianwu Wang
2025	J	`jnl`	Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models. CoRR Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2025	B	`conf`	CloudBot: Autonomous End-to-End Cloud Deployment from Code to Infrastructure. IEEE Big Data Oluwatobiloba Odunsi, Aravind Mohan, Seraj Al Mahmud Mostafa, Jianwu Wang
2025	—	`conf`	Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. PerCom Workshops Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, Md. Osman Gani
2025	J	`jnl`	Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. CoRR Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh C. Subramanian, Md. Osman Gani
2025	—	`conf`	DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. SIGSPATIAL/GIS Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana P. Janeja
2025	J	`jnl`	DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. CoRR Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana Pursnani Janeja
2025	J	`jnl`	Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling. CoRR Seraj Al Mahmud Mostafa, Chenxi Wang, Jia Yue, Yuta Hozumi, Jianwu Wang
2025	B	`conf`	Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. IEEE Big Data Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja
2025	J	`jnl`	Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. CoRR Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja
2025	J	`jnl`	Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models. CoRR Md. Azim Khan, Aryya Gangopadhyay, Jianwu Wang, Robert F. Erbacher
2025	J	`jnl`	Joint Retrieval of Cloud properties using Attention-based Deep Learning Models. CoRR Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2025	J	`jnl`	Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals. CoRR Bayu Adhi Tama, Jianwu Wang, Vandana P. Janeja, Mostafa Cham
2025	J	`jnl`	Multi-Graph Spatio-Temporal Convolution for Traffic Flow Prediction Focusing on Edge Derived Imbalanced Data From Highway Electronics. IEEE Trans. Consumer Electron. Weilong Ding, Tianpu Zhang, Honghao Gao, Qi Yu, Jianwu Wang, Zhuofeng Zhao
2025	C	`conf`	SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization. ICMLA Seraj Al Mahmud Mostafa, Aravind Mohan, Jianwu Wang
2025	J	`jnl`	SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization. CoRR Seraj Al Mahmud Mostafa, Aravind Mohan, Jianwu Wang
2025	B	`conf`	Scalable Deep Learning for Greenland Ice Bed Topography Prediction. IEEE Big Data Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, Jianwu Wang
2025	—	`conf`	TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. ICDM (Workshops) Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang
2024	B	`conf`	Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression. IEEE Big Data Olivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, Jianwu Wang
2024	J	`jnl`	Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods. CoRR Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md. Osman Gani, Jianwu Wang
2024	C	`conf`	CloudUNet: Adapting UNet for Retrieving Cloud Properties. IGARSS Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2024	B	`conf`	Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data. IEEE Big Data Omar Faruque, Xingyan Li, Md. Azim Khan, Homayra Alam, Jianwu Wang
2024	—	`conf`	Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. ECML/PKDD (3) Sahara Ali, Omar Faruque, Jianwu Wang
2024	J	`jnl`	Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference. CoRR Sahara Ali, Omar Faruque, Jianwu Wang
2024	B	`conf`	Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. IEEE Big Data Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang
2024	J	`jnl`	Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. CoRR Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang
2024	J	`jnl`	Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features. CoRR Zahra Khanjani, Tolulope Ale, Jianwu Wang, Lavon Davis, Christine Mallinson, Vandana P. Janeja
2024	J	`jnl`	MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval. CoRR Xingyan Li, Andrew M. Sayer, Ian T. Carroll, Xin Huang, Jianwu Wang
2024	—	`conf`	MT-HCCAR: Multi-task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval. ECML/PKDD (10) Xingyan Li, Andrew M. Sayer, Ian T. Carroll, Xin Huang, Jianwu Wang
2024	—	`conf`	Physics-Informed Machine Learning for Sea Ice Thickness Prediction. ICKG Akila Sampath, Omar Faruque, Azim Khan, Vandana P. Janeja, Jianwu Wang
2024	—	`ed.`	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis, STCausal 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024 STCausal@SIGSPATIAL Jianwu Wang, Sahara Ali, Yanan Xin
2024	J	`jnl`	TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. CoRR Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang
2024	—	`conf`	Tutorial on Causal Inference with Spatiotemporal Data. STCausal@SIGSPATIAL Sahara Ali, Jianwu Wang
2024	B	`conf`	YOLO based Ocean Eddy Localization with AWS SageMaker. IEEE Big Data Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang
2024	J	`jnl`	YOLO based Ocean Eddy Localization with AWS SageMaker. CoRR Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang
2024	—	`conf`	gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method. ICPR (3) Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang
2024	J	`jnl`	gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method. CoRR Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang
2023	C	`conf`	CNN based Ocean Eddy Detection Using Cloud Services. IGARSS Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang
2023	—	`conf`	Chatbot Integration for Metaverse - A University Platform Prototype. COINS Qitao Xie, Wenxi Lu, Qingquan Zhang, Lingxiu Zhang, Ting Zhu, Jianwu Wang
2023	B	`conf`	DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang
2023	—	`conf`	Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. ECML/PKDD (7) Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
2023	J	`jnl`	Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. CoRR Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
2023	C	`conf`	Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. ICMLA Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang
2023	B	`conf`	Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. DaWaK Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang
2023	C	`conf`	Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. ICMLA Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James R. Foulds, Carl E. Busart, Robert F. Erbacher
2023	C	`conf`	Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. ICMLA Louis Lapp, Sahara Ali, Jianwu Wang
2023	J	`jnl`	MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. CoRR Sahara Ali, Jianwu Wang
2023	J	`jnl`	Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction. CoRR Weilong Ding, Tianpu Zhang, Jianwu Wang, Zhuofeng Zhao
2023	C	`conf`	Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. ICMLA Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang
2023	J	`jnl`	Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. CoRR Sahara Ali, Omar Faruque, Jianwu Wang
2023	J	`jnl`	Reproducible and Portable Big Data Analytics in the Cloud. IEEE Trans. Cloud Comput. Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang
2023	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR Zichong Wang, Zhou Yang, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang
2023	B	`conf`	Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge. SMARTCOMP Rohan Putatunda, Azim Khan, Aryya Gangopadhyay, Jianwu Wang, Carl E. Busart, Robert F. Erbacher
2022	J	`jnl`	A review of Earth Artificial Intelligence. Comput. Geosci. 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
2022	J	`jnl`	An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics. CoRR Xin Wang, Azim Khan, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
2022	J	`jnl`	An edge-cloud integrated framework for flexible and dynamic stream analytics. Future Gener. Comput. Syst. Xin Wang, Azim Khan, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
2022	C	`conf`	Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj Al Mahmud Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue
2022	C	`conf`	Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James R. Foulds, Vandana P. Janeja
2022	C	`conf`	Enhanced Deep Learning Super-Resolution for Bathymetry Data. BDCAT Xingyan Li, Jian Li, Zachary Williams, Xin Huang, Mark Carroll, Jianwu Wang
2022	C	`conf`	MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting. BDCAT Sahara Ali, Jianwu Wang
2022	—	`conf`	VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang
2021	—	`ed.`	2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021 IEEE BigData 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	B	`conf`	A Framework for Evaluating BFT. ICPADS James R. Clavin, Yue Huang, Xin Wang, Pradeep M. Prakash, Sisi Duan, Jianwu Wang, Sean Peisert
2021	J	`jnl`	Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. Frontiers Big Data Yiyi Huang, Matthäus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang
2021	J	`jnl`	Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework. Remote. Sens. Jianyu Zheng, Xin Huang, Supriya Sangondimath, Jianwu Wang, Zhibo Zhang
2021	—	`conf`	Large-Scale Causality Discovery Analytics as a Service. IEEE BigData Xin Wang, Pei Guo, Jianwu Wang
2021	J	`jnl`	Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. Remote. Sens. Jangho Lee, Yingxi Rona Shi, Changjie Cai, Pubu Ciren, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang
2021	—	`conf`	Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. IEEE BigData Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, Jianwu Wang
2021	J	`jnl`	Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. Big Data Res. Jonathan N. Basalyga, Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang
2021	J	`jnl`	Potential trend discovery for highway drivers on spatio-temporal data. Wirel. Networks Weilong Ding, Zhe Wang, Jun Chen, Yanqing Xia, Jianwu Wang, Zhuofeng Zhao
2021	J	`jnl`	Reproducible and Portable Big Data Analytics in the Cloud. CoRR Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
2021	J	`jnl`	Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. Big Data Res. Pei Guo, Yiyi Huang, Jianwu Wang
2021	J	`jnl`	Sea Ice Forecasting using Attention-based Ensemble LSTM. CoRR Sahara Ali, Yiyi Huang, Xin Huang, Jianwu Wang
2020	B	`conf`	A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. SMARTCOMP Ping Hou, Pei Guo, Peng Wu, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang
2020	—	`conf`	Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark. IEEE BigData Arjun Pandya, Oluwatobiloba Odunsi, Chen Liu, Alfredo Cuzzocrea, Jianwu Wang
2020	J	`jnl`	An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. IEEE Access Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang
2020	—	`conf`	Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. IEEE BigData Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang
2020	B	`conf`	Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina
2020	—	`conf`	Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. IEEE BigData Manzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang
2020	—	`conf`	Scalable Aggregation Service for Satellite Remote Sensing Data. ICA3PP (2) Jianwu Wang, Xin Huang, Jianyu Zheng, Chamara Rajapakshe, Savio Kay, Lakshmi Kandoor, Thomas Maxwell, Zhibo Zhang
2020	—	`conf`	Scalable and Hybrid Ensemble-Based Causality Discovery. SMDS Pei Guo, Achuna Ofonedu, Jianwu Wang
2020	J	`jnl`	Task Allocation in Hybrid Big Data Analytics for Urban IoT Applications. Trans. Data Sci. Weilong Ding, Zhuofeng Zhao, Jianwu Wang, Han Li
2019	—	`conf`	A Hybrid Algorithm for Mineral Dust Detection Using Satellite Data. eScience Peichang Shi, Qianqian Song, Janita Patwardhan, Zhibo Zhang, Jianwu Wang, Aryya Gangopadhyay
2019	—	`conf`	Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. IEEE BigData Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang
2019	A	`conf`	Latency-Aware Deployment of IoT Services in a Cloud-Edge Environment. ICSOC Shouli Zhang, Chen Liu, Jianwu Wang, Zhongguo Yang, Yanbo Han, Xiaohong Li
2019	—	`conf`	On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops Wenbin Zhang, Xuejiao Tang, Jianwu Wang
2019	J	`jnl`	PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas
2019	—	`conf`	Parallel Gradient Boosting based Granger Causality Learning. IEEE BigData Pei Guo, Chen Liu, Yan Tang, Jianwu Wang
2019	—	`conf`	Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. IEEE BigData Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang
2019	—	`conf`	Representation Learning of Taxonomies for Taxonomy Matching. ICCS (1) Hailun Lin, Yong Liu, Peng Zhang, Jianwu Wang
2019	J	`jnl`	Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution. IEEE Access Wanghu Chen, Jing Li, Xintian Li, Lizhi Zhang, Jianwu Wang
2018	—	`conf`	A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. IEEE BigData Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
2018	J	`jnl`	A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. CoRR Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
2018	—	`conf`	A Periodic Task-Oriented Scheduling Architecture in Cloud Computing. ISPA/IUCC/BDCloud/SocialCom/SustainCom Peng Zhang, Yan Li, Hailun Lin, Jianwu Wang, Chuang Zhang
2018	—	`conf`	An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data. Bench Arjun Pandya, Chaitanya Kulkarni, Kunal Mali, Jianwu Wang
2018	—	`conf`	Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. Bench Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert
2018	—	`conf`	Blockchain Based Provenance Sharing of Scientific Workflows. IEEE BigData Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang
2018	—	`conf`	Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM Wenbin Zhang, Jianwu Wang
2018	—	`conf`	Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. BigData Congress Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu
2017	—	`conf`	A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress Wenbin Zhang, Jianwu Wang
2017	—	`conf`	A comparison of big data application programming approaches: A travel companion case study. IEEE BigData Pei Guo, Jianwu Wang, Zhiyuan Chen
2017	A	`conf`	An Approach to Modeling and Discovering Event Correlation for Service Collaboration. ICSOC Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han
2017	C	`conf`	Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment. CollaborateCom Shouli Zhang, Xiaohong Li, Jianwu Wang, Shen Su
2017	—	`conf`	Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. IEEE BigData Wanghu Chen, Xintian Li, Jing Li, Jianwu Wang
2017	J	`jnl`	Machine learning on big data: Opportunities and challenges. Neurocomputing Lina Zhou, Shimei Pan, Jianwu Wang, Athanasios V. Vasilakos
2017	A	`conf`	Service Hyperlink: Modeling and Reusing Partial Process Knowledge by Mining Event Dependencies among Sensor Data Services. ICWS Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han
2017	—	`conf`	Zero-Day Attack Identification in Streaming Data Using Semantics and Spark. BigData Congress Sai C. Pallaprolu, Rishi Sankineni, Muthukumar Thevar, George Karabatis, Jianwu Wang
2016	—	`conf`	A Service-Friendly Approach to Discover Traveling Companions Based on ANPR Data Stream. SCC Meiling Zhu, Chen Liu, Jianwu Wang, Xiongbin Wang, Yanbo Han
2016	Misc	`conf`	A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows. ICCS Prakashan Korambath, Jianwu Wang, Ankur Kumar, Jim Davis, Robert B. Graybill, Brian Schott, Michael Baldea
2016	—	`conf`	Application-driven sensing data reconstruction and selection based on correlation mining and dynamic feedback. IEEE BigData Zhichuan Huang, Tiantian Xie, Ting Zhu, Jianwu Wang, Qingquan Zhang
2016	Misc	`conf`	Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas
2016	—	`conf`	Wearable sensor based human posture recognition. IEEE BigData Jianwu Wang, Zhichuan Huang, Wenbin Zhang, Ankita Patil, Ketan Patil, Ting Zhu, Eric J. Shiroma, Mitchell A. Schepps, Tamara B. Harris
2015	J	`jnl`	A Hybrid Processing System for Large-Scale Traffic Sensor Data. IEEE Access Zhuofeng Zhao, Weilong Ding, Jianwu Wang, Yanbo Han
2015	—	`conf`	Big data provenance: Challenges, state of the art and opportunities. IEEE BigData Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
2015	—	`conf`	FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
2015	—	`conf`	Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data. CCBD Meiling Zhu, Chen Liu, Jianwu Wang, Xiongbin Wang, Yanbo Han
2014	—	`conf`	A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas
2014	C	`conf`	A Spatio-temporal Parallel Processing System for Traffic Sensory Data. APSCC Zhuofeng Zhao, Weilong Ding, Yanbo Han, Jianwu Wang
2014	B	`conf`	An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems. SERVICES Zhuofeng Zhao, Jun Fang, Weilong Ding, Jianwu Wang
2014	J	`jnl`	Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li
2014	J	`jnl`	Cloud computing in e-Science: research challenges and opportunities. J. Supercomput. 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
2014	Misc	`conf`	Deploying Kepler Workflows as Services on a Cloud Infrastructure for Smart Manufacturing. ICCS Prakashan Korambath, Jianwu Wang, Ankur Kumar, Lorin Hochstein, Brian Schott, Robert B. Graybill, Michael Baldea, Jim Davis
2014	Misc	`conf`	EPiK-a Workflow for Electron Tomography in Kepler. ICCS Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman
2014	B	`conf`	Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li
2014	J	`jnl`	Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration. J. Grid Comput. Yanbo Han, Jianwu Wang
2014	J	`jnl`	MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinform. Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Jennifer C. Stowe, Gabriel G. Haddad, Andrew D. McCulloch, Ilkay Altintas, Alexander C. Zambon
2014	J	`jnl`	Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling. J. Grid Comput. Chen Liu, Jianwu Wang, Yanbo Han
2014	Misc	`conf`	Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS 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
2014	B	`conf`	The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message. SERVICES Yanbo Han, Jianwu Wang, Chen Liu
2014	Misc	`conf`	Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl
2013	J	`jnl`	Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 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
2013	—	`conf`	Situation-Aware Data Service Composition Based on Service Hyperlinks. WISE Workshops Chen Liu, Jianwu Wang, Yanbo Han
2012	Misc	`conf`	A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS Jianwu Wang, Daniel Crawl, Ilkay Altintas
2012	—	`conf`	An Item-Targeted User Similarity Method for Data Service Recommendation. EDOC Workshops Cheng Zhang, Xiaofang Zhao, Jianwu Wang
2012	—	`conf`	Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li
2012	Misc	`conf`	Early Cloud Experiences with the Kepler Scientific Workflow System. ICCS Jianwu Wang, Ilkay Altintas
2012	—	`conf`	MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data. HISB Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon
2011	B	`conf`	A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. SERVICES Jianwu Wang, Prakashan Korambath, Ilkay Altintas
2011	—	`ch.`	Facilitating e-Science Discovery Using Scientific Workflows on the Grid. Guide to e-Science Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
2011	—	`conf`	Provenance for MapReduce-based data-intensive workflows. WORKS@SC Daniel Crawl, Jianwu Wang, Ilkay Altintas
2010	Misc	`conf`	Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk
2009	—	`conf`	Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones
2009	—	`conf`	Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS Jianwu Wang, Daniel Crawl, Ilkay Altintas
2008	—	`conf`	A High-Level Distributed Execution Framework for Scientific Workflows. eScience Jianwu Wang, Ilkay Altintas, Chad Berkley, Lucas Gilbert, Matthew B. Jones
2008	B	`conf`	An Approach to Domain-Specific Reuse in Service-Oriented Environments. ICSR Jianwu Wang, Jian Yu, Paolo Falcarin, Yanbo Han, Maurizio Morisio
2006	J	`jnl`	An End-User-Oriented Approach to Exploratory Service Compostion. J. Comput. Res. Dev. Yanbo Han, Hongcui Wang, Jianwu Wang, Shuying Yan, Cheng Zhang
2006	—	`conf`	DDL: Embracing Actions into Semantic Web. IIP He Huang, Zhongzhi Shi, Jianwu Wang, Rui Huang
2006	B	`conf`	Pattern Based Property Specification and Verification for Service Composition. WISE Jian Yu, Tan Phan Manh, Jun Han, Yan Jin, Yanbo Han, Jianwu Wang
2006	—	`conf`	Personalized Active Service Spaces for End-User Service Composition. IEEE SCC Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu
2005	—	`conf`	A service modeling approach with business-level reusability and extensibility. SOSE Jianwu Wang, Jian Yu, Yanbo Han
2005	—	`conf`	An Approach to Abstracting and Transforming Web Services for End-user-doable Construction of Service-Oriented Applications. NODe/GSEM Jian Yu, Jun Fang, Yanbo Han, Jianwu Wang, Chen Zhang
2004	B	`conf`	A Reflective Approach to Keeping Business Characteristics in Business-End Service Composition. WISE Zhuofeng Zhao, Yanbo Han, Jianwu Wang, Kui Huang
2004	—	`conf`	An Approach to Dynamically Reconfiguring Service-Oriented Applications from a Business Perspective. AWCC Jianwu Wang, Yanbo Han, Jing Wang, Gang Li
2003	—	`conf`	An Adaptable Service Connector Model. SWDB Gang Li, Yanbo Han, Zhuofeng Zhao, Jianwu Wang, Roland M. Wagner
2003	J	`jnl`	CAFISE: An Approach to Enabling Adaptive Configuration of Service Grid Applications. J. Comput. Sci. Technol. Yanbo Han, Zhuofeng Zhao, Gang Li, Dongshan Xing, Qingzhong Lu, Jianwu Wang, Jinhua Xiong, Hao Liu
2003	—	`conf`	MASON: A Model for Adapting Service-Oriented Grid Applications. GCC (1) Gang Li, Jianwu Wang, Jing Wang, Yanbo Han, Zhuofeng Zhao, Roland M. Wagner, Haitao Hu