Chase Wu
Chase Wu
(Qishi Wu) Professor, Data Science
2104 Guttenberg Information Technologies Center (GITC)
About Me
Chase Wu is a professor and the associate chair in Department of Data Science. His work has been supported by various funding agencies, including NSF, DOE, DHS, and ORNL, where he is a collaborative research staff. He has published over 300 research articles in highly reputed conference proceedings, journals, and books.
Education
Ph.D.; Louisiana State University and Agricultural & Mechanical College; Computer Science; 2003
M.S.; Louisiana State University; Computer Science; 2002
M.S.; Purdue University-Main Campus; Geomatics; 2000
B.S.; Zhejiang University; Remote Sensing; 1995
M.S.; Louisiana State University; Computer Science; 2002
M.S.; Purdue University-Main Campus; Geomatics; 2000
B.S.; Zhejiang University; Remote Sensing; 1995
Website
2024 Fall Courses
CS 492 - DATA SCIENCE CAPSTONE I
CS 700B - MASTER'S PROJECT
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 790A - DOCT DISSERTATION & RES
DS 700B - MASTER'S PROJECT
CS 444 - BIG DATA SYSTEMS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 493 - DATA SCIENCE CAPSTONE II
CS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 790A - DOCT DISSERTATION & RES
DS 700B - MASTER'S PROJECT
CS 444 - BIG DATA SYSTEMS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 493 - DATA SCIENCE CAPSTONE II
CS 701B - MASTER'S THESIS
Teaching Interests
Big data, algorithms, networks, machine learning, cybersecurity
Past Courses
CS 444: BIG DATA SYSTEMS
CS 492: DATA SCIENCE CAPSTONE I
CS 493: DATA SCIENCE CAPSTONE II
CS 493: DATA SCIENCE CAPSTONE II - HONORS
CS 644: INTRODUCTION TO BIG DATA
CS 698: ST:
CS 698: ST: BIG DATA
CS 492: DATA SCIENCE CAPSTONE I
CS 493: DATA SCIENCE CAPSTONE II
CS 493: DATA SCIENCE CAPSTONE II - HONORS
CS 644: INTRODUCTION TO BIG DATA
CS 698: ST:
CS 698: ST: BIG DATA
Research Interests
Big data, machine learning, high-performance networking, parallel and distributed computing, sensor networks, scientific visualization, and cyber security
Conference Paper
An Extension of Pathfinding Algorithms for Randomly Determined Speeds
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024
Optimized Deliverer Selection in Blockchain-Based P2P Content Delivery Network
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024
On an Approximation Algorithm Combined with D3QN for HDFS Data Block Recovery in Heterogeneous Hadoop Clusters
Proceedings of the 10th Intelligent Systems Conference, September 2024
Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems
Proceedings of the 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, May 2024
Dynamic Priority Job Scheduling on a Hadoop YARN Platform
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, December 2023
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024
Optimized Deliverer Selection in Blockchain-Based P2P Content Delivery Network
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024
On an Approximation Algorithm Combined with D3QN for HDFS Data Block Recovery in Heterogeneous Hadoop Clusters
Proceedings of the 10th Intelligent Systems Conference, September 2024
Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems
Proceedings of the 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, May 2024
Dynamic Priority Job Scheduling on a Hadoop YARN Platform
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, December 2023
SHOW MORE
On a Hybrid BiLSTM-GCNN-Based Approach for Attack Detection in SDN
Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications, December 2023
On Periodic Point-to-Point Bandwidth Scheduling in High-Performance Networks
Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications, December 2023
Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making
Proceedings of the 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, December 2023
Ensemble Learning Models for Large-Scale Time Series Forecasting in Supply Chain
Proceedings of the 17th IEEE International Conference on Big Data Science and Engineering, November 2023
Characterization and Prediction of QUIC's Performance Under Different Network Conditions
Proceedings of IEEE International Conference on Communications, May 2023
On an Integrated Security Framework for Defense Against Various DDoS Attacks in SDN
Proceedings of the International Conference on Computing, Networking and Communications, February 2023
GLEE: GPR-based Latent Effect Elimination for Performance Prediction of Big Data Transfer
In Proceedings of the IEEE Global Communications Conference, Rio de Janeiro, Brazil, December 2022
Anonymous Traceback for End to End Encryption
In Proceedings of the 27th European Symposium on Research in Computer Security, September 2022
Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity
In Proceedings of International Conference on Blockchain and Trustworthy Systems, Chengdu, China, August 2022
On Performance Modeling and Prediction for Spark-HBase Applications in Big Data Systems
n Proceedings of IEEE International Conference on Communications, Seoul, South Korea, May 2022
On a Small File Merger for Fast Access and Modifiability of Small Files in HDFS
Proceedings of the 18th ACS/IEEE International Conference on Computer Systems and Applications, December 2021
Fair Peer-to-Peer Content Delivery via Blockchain
Proceedings of the 26th European Symposium on Research in Computer Security, October (4th Quarter/Autumn) 2021
Machine Learning-assisted Computational Steering of Large-scale Scientific Simulations
Proceedings of the 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, October (4th Quarter/Autumn) 2021
NoStop: A Novel Configuration Optimization Scheme for Spark Streaming
Proceedings of the 50th International Conference on Parallel Processing, August 2021
On Machine Learning-based Stage-aware Performance Prediction of Spark Applications
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, November 2020
Recommendation of Academic Papers Based on Heterogeneous Information Networks
Proceedings of the International Workshop on Computational Intelligence and Big Data for Scientific and Technological Resources and Services, in conjunction with the ACS/IEEE International Conference on Computer Systems and Applications, November 2020
End-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks
Proceedings of International Conference on Algorithms and Architectures for Parallel Processing, October (4th Quarter/Autumn) 2020
Profiling-based Big Data Workflow Optimization in a Cross-Layer Coupled Design Framework
Proceedings of International Conference on Algorithms and Architectures for Parallel Processing, October (4th Quarter/Autumn) 2020
Two-level Clustering-based Target Detection Through Sensor Deployment and Data Fusion
Proceedings of the 21st International Conference on Information Fusion, July (3rd Quarter/Summer) 2018
Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications, December 2023
On Periodic Point-to-Point Bandwidth Scheduling in High-Performance Networks
Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications, December 2023
Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making
Proceedings of the 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, December 2023
Ensemble Learning Models for Large-Scale Time Series Forecasting in Supply Chain
Proceedings of the 17th IEEE International Conference on Big Data Science and Engineering, November 2023
Characterization and Prediction of QUIC's Performance Under Different Network Conditions
Proceedings of IEEE International Conference on Communications, May 2023
On an Integrated Security Framework for Defense Against Various DDoS Attacks in SDN
Proceedings of the International Conference on Computing, Networking and Communications, February 2023
GLEE: GPR-based Latent Effect Elimination for Performance Prediction of Big Data Transfer
In Proceedings of the IEEE Global Communications Conference, Rio de Janeiro, Brazil, December 2022
Anonymous Traceback for End to End Encryption
In Proceedings of the 27th European Symposium on Research in Computer Security, September 2022
Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity
In Proceedings of International Conference on Blockchain and Trustworthy Systems, Chengdu, China, August 2022
On Performance Modeling and Prediction for Spark-HBase Applications in Big Data Systems
n Proceedings of IEEE International Conference on Communications, Seoul, South Korea, May 2022
On a Small File Merger for Fast Access and Modifiability of Small Files in HDFS
Proceedings of the 18th ACS/IEEE International Conference on Computer Systems and Applications, December 2021
Fair Peer-to-Peer Content Delivery via Blockchain
Proceedings of the 26th European Symposium on Research in Computer Security, October (4th Quarter/Autumn) 2021
Machine Learning-assisted Computational Steering of Large-scale Scientific Simulations
Proceedings of the 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, October (4th Quarter/Autumn) 2021
NoStop: A Novel Configuration Optimization Scheme for Spark Streaming
Proceedings of the 50th International Conference on Parallel Processing, August 2021
On Machine Learning-based Stage-aware Performance Prediction of Spark Applications
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, November 2020
Recommendation of Academic Papers Based on Heterogeneous Information Networks
Proceedings of the International Workshop on Computational Intelligence and Big Data for Scientific and Technological Resources and Services, in conjunction with the ACS/IEEE International Conference on Computer Systems and Applications, November 2020
End-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks
Proceedings of International Conference on Algorithms and Architectures for Parallel Processing, October (4th Quarter/Autumn) 2020
Profiling-based Big Data Workflow Optimization in a Cross-Layer Coupled Design Framework
Proceedings of International Conference on Algorithms and Architectures for Parallel Processing, October (4th Quarter/Autumn) 2020
Two-level Clustering-based Target Detection Through Sensor Deployment and Data Fusion
Proceedings of the 21st International Conference on Information Fusion, July (3rd Quarter/Summer) 2018
COLLAPSE
Journal Article
Fan, N, & Wu, Chase Qishi, & Benabdallah, S, & Li, J, & Gao, Y, & Wang, Q (2024). On a Security Scheme Against Collusive Attacks in Vehicular Ad Hoc Networks. Vehicular Communications, 49,
Liu, X, & Xing, T, & Meng, X, & Wu, Chase Qishi (2024). TA-GAE: Crowdsourcing Diverse Task Assignment Based on Graph Autoencoder in AIoT. IEEE Internet of Things Journal, 11(8), 14508-14522.
Chen, X, & He, S, & Sun, L, & Zheng, Y, & Wu, Chase Qishi (2024). A Survey of Consortium Blockchain and its Applications. MDPI Cryptography, 8(2),
Li, Y, & Bao, L, & Huang, K, & Wu, Chase Qishi, & Li, X (2024). RSFIN: A Rule Search-based Fuzzy Inference Network for Performance Prediction of Configurable Software Systems. The Journal of Systems & Software, 209,
Xia, S, & Xing, T, & Wu, Chase Qishi, & Liu, G, & Yang, J, & Li, K (2024). AQMon: A Fine-Grained Air Quality Monitoring System based on UAV Images for Smart Cities. ACM Transactions on Sensor Networks, 20(2), 1-20.
Liu, X, & Xing, T, & Meng, X, & Wu, Chase Qishi (2024). TA-GAE: Crowdsourcing Diverse Task Assignment Based on Graph Autoencoder in AIoT. IEEE Internet of Things Journal, 11(8), 14508-14522.
Chen, X, & He, S, & Sun, L, & Zheng, Y, & Wu, Chase Qishi (2024). A Survey of Consortium Blockchain and its Applications. MDPI Cryptography, 8(2),
Li, Y, & Bao, L, & Huang, K, & Wu, Chase Qishi, & Li, X (2024). RSFIN: A Rule Search-based Fuzzy Inference Network for Performance Prediction of Configurable Software Systems. The Journal of Systems & Software, 209,
Xia, S, & Xing, T, & Wu, Chase Qishi, & Liu, G, & Yang, J, & Li, K (2024). AQMon: A Fine-Grained Air Quality Monitoring System based on UAV Images for Smart Cities. ACM Transactions on Sensor Networks, 20(2), 1-20.
SHOW MORE
Qu, X, & Liu, Z, & Wu, Chase Qishi, & Hou, A, & Yin, X, & Chen, Z (2024). MFGAN: Multimodal Fusion for Industrial Anomaly Detection Using Attention-based Autoencoder and Generative Adversarial Network. MDPI Sensors, 24(2),
Wu, Chase Qishi (2023). On Multi-Path Bandwidth Scheduling for Multiple Fixed-Slot Reservations in High-performance Networks. Computer Communications, 212, 63-77.
Liu, S, & Shen, W, & Wu, Chase Qishi, & Lyu, X (2023). Optimizing Temperature Setting for Decomposition Furnace Based on Attention Mechanism and Neural Networks. MDPI Sensors,
Cao, R., & Bao, L., & Zhangsun, P., & Wu, Chase Qishi, & Wei, S., & Sun, R., & Li, R., & Zhang, Z. (2023). PTSSBench: A Performance Evaluation Platform in Support of Automated Parameter Tuning of Software Systems. Automated Software Engineering, 31(4),
Wu, Chase Qishi (2023). On a Meta Learning-based Scheduler for Deep Learning Clusters. IEEE Transactions on Cloud Computing, 11, 3631-3642.
Wu, Chase Qishi (2023). CaFANet: Causal Factor-Aware Attention Networks for Equipment Fault Prediction in Internet of Things. Sensors, MDPI, 23(16),
Wu, Chase Qishi (2023). CM-CASL: Comparison-based Performance Modeling of Software Systems via Collaborative Active and Semisupervised Learning. Journal of Software Systems, 201(Article ID 111686),
Wu, Chase Qishi (2023). Evaluation of Table Grape Flavor Based on Deep Neural Networks. Applied Sciences, 13(11), Article ID 6532.
Wu, Chase Qishi (2023). Blockchain-Based P2P Content Delivery with Monetary Incentivization and Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems, 34(2), 746-765.
Wu, Chase Qishi (2023). WiFine: Real-time Gesture Recognition Using Wi-Fi with Edge Intelligence. ACM Transactions on Sensor Networks, 19(1), 1-24.
Lu, Songlin He Yuan, & Tang, Qiang, & Wang, Guiling, & Wu, Chase Qishi (2022). Blockchain-Based P2P Content Delivery ``With Monetary Incentivization and Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems,
Wu, Chase Qishi (2022). On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features. Computational and Mathematical Methods in Medicine(Article ID 4911005),
Wu, Chase Qishi (2022). On Weather Data-based Prediction of Gamma Exposure Rates Using Gradient Boosting Learning for Environmental Radiation Monitoring. Sensors, MDPI, 22(18),
Wu, Chase Qishi (2022). LightFD: Real-time Fault Diagnosis with Edge Intelligence for Power Transformers. Sensors, MDPI, 22(14),
Wu, Chase Qishi (2022). On a Blockchain-based Security Scheme for Defense Against Malicious Nodes in Vehicular Ad-Hoc Networks. Sensors, MDPI, 22(14),
Wu, Chase Qishi (2022). On Accurate Prediction of Cloud Workloads with Adaptive Pattern Mining. The Journal of Supercomputing, 79, 160-187.
Wu, Chase Qishi (2022). A Hybrid Trust Model Based on Communication and Social Trust for Vehicular Social Networks. International Journal of Distributed Sensor Networks, 18(5),
Wu, Chase Qishi (2022). XML2HBase: Storing and Querying Large Collections of XML Documents Using a NoSQL Database System. Journal of Parallel and Distributed Computing, 161, 83-99.
Wu, Chase Qishi (2022). On a Two-stage Progressive Clustering Algorithm with Graph-augmented Density Peak Clustering. Engineering Applications of Artificial Intelligence, 108,
Hou, A., & Wu, Chase Qishi, & Duan, Q., & Quan, D., & Zuo, L., & Li, Y., & Zhu, M. M., & Fang, D. (2021). SDN-based Bandwidth Scheduling for Prioritized Data Transfer between Data Centers. Cluster Computing, https://doi.org/10.1007/s10586-021-03364-7,
Niu, X., & Wang, S., & Wu, Chase Qishi, & Li, Y., & Wu, P., & Zhu, J. (2021). On a Clustering-based Mining Approach with Labeled Semantics for Significant Place Discovery. Information Sciences, 578(2021), 37-63.
Xing, T., & Wu, Chase Qishi, & Wang, J., & Shang, F., & Li, R., & Chen, X. (2021). A Vibration-based Multi-user Concurrent Communication System with Commercial Devices. Computer Networks, 194(108169),
Yun, Daqing, & Liu, Wuji, & Wu, Chase Qishi, & Rao, Nageswara S.V., & Kettimuthu, R. (2021). Exploratory Analysis and Performance Prediction of Big Data Transfer in High-performance Networks. Engineering Applications of Artificial Intelligence, 102(104285),
Chu, Dongliang, & Wu, Chase Qishi (2021). Generalizing the Over Operator for Parallelization and Order-independency. Journal of Parallel and Distributed Computing, 151, 52-60.
Niu, X., & Qian, M., & Wu, Chase Qishi, & Hou, A. (2021). On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree. Concurrency and Computation: Practice and Experience, https://doi.org/10.1002/cpe.6313,
Gao, B., & Chen, N., & Blaschke, T., & Wu, Chase Qishi, & Chen, J., & Xu, Y., & Yang, X., & Du, Z. (2021). Automated Characterization of Yardangs Using Deep Convolutional Neural Networks. Remote Sensing, 13(4), 733.
Niu, X, & Zhu, J, & Wu, Chase Qishi, & Wang, S (2020). On a Clustering-based Mining Approach for Spatially and Temporally Integrated Traffic Sub-area Division. Engineering Applications of Artificial Intelligence, 96(103932),
Cao, Huiyan, & Wu, Chase Qishi, & Hou, Aiqin, & Bao, Liang, & Shen, Wei (2020). Throughput Optimization for Storm-based Processing of Stream Data on Clouds. Future Generation Computer Systems, 112, 567-579.
Niu, X., & Chen, T., & Wu, Chase Qishi, & Niu, J. (2020). Label-Based Trajectory Clustering in Complex Road Networks. IEEE Transactions on Intelligent Transportation Systems, 21(10), 4098-4110.
Cao, Z, & Huang, Q, & Wu, Chase Qishi (2020). Maximize Concurrent Data Flows in Multi-radio Multi-channel Wireless Mesh Networks. Computer Science and Information Systems, 17(3), 759-777.
Wang, Q, & Xing, T, & Wu, Chase Qishi, & Xi, W, & Chen, X (2020). dWatch: A reliable and low-power drowsiness detection system for drivers based on mobile devices. ACM Transactions on Sensor Networks, 16(4), Article 37.
Shu, Tong, & Wu, Chase Qishi (2020). Energy-efficient Mapping of Large-scale Workflows Under Deadline Constraints in Big Data Computing Systems. Future Generation Computer Systems, 110, 515-530.
Fan, N, & Duan, Z, & Wu, Chase Qishi, & Zhu, G, & Yang, J, & Zhu, Y (2020). An Adaptive and Secure Traffic Information Forwarding Mechanism in Internet of Vehicles. International Journal of Communication Systems,
Zhang, H, & Huang, L, & Wu, Chase Qishi, & Li, Z (2020). An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset. Computer Networks, 177(107315),
Hou, Aiqin, & Wu, Chase Q, & Zuo, Liudong, & Zhang, Xiaoyang, & Wang, Tao, & Fang, Dingyi (2020). Bandwidth Scheduling for Big Data Transfer with Two Variable Node-Disjoint Paths. Journal of Communications and Networks, 22(2), 130-144.
Hou, A., & Wu, Chase Qishi, & Qiao, R., & Zuo, L., & Zhu, M. M., & Fang, D., & Nie, W., & Chen, F. (2020). QoS Provisioning for Various Types of Deadline-Constrained Bulk Data Transfers between Data Centers. Future Generation Computer Systems, 105, 162-174.
He, Songlin, & Tang, Qiang, & Wu, Chase Qishi, & Shen, Xuewen Decentralizing IoT Management Systems Using Blockchain for Censorship Resistance. IEEE Transactions on Industrial Informatics,
Yun, D., & Wu, Chase Qishi, & Rao, N. S.V., & Kettimuthu, R. (2019). Advising Big Data Transfer over Dedicated Connections Based on Profiling Optimization. IEEE/ACM Transactions on Networking, 27(6), 2280-2293.
Bao, L., & Wu, Chase Qishi, & Bu, X., & Ren, N., & Shen, M. (2019). Performance Modeling and Workflow Scheduling of Microservice-based Applications in Clouds. IEEE Transactions on Parallel and Distributed Systems, 30(9), 2101-2116.
Fan, N., & Wu, Chase Qishi (2019). On Trust Models for Communication Security in Vehicular Ad-hoc Networks. Ad Hoc Networks, Elsevier, 9, 13.
Wu, Chase Qishi, & Berry, Mark L., & Grieme, Kayla M., & Sen, S., & Rao, N. S.V., & Brooks, R. R., & Cordone, G. (2019). Network Detection of Radiation Sources Using Localization-based Approaches. IEEE Transactions on Industrial Informatics, 15(4), 2308-2320.
Peng, Q., & Zhou, Mengchu, & He, Q., & Xia, Y., & Wu, Chase Qishi, & Deng, S. (2018). Multi-Objective Optimization for Location Prediction of Mobile Devices in Sensor-based Applications. IEEE Access,
Zuo, L., & Zhu, M. M., & Wu, Chase Qishi (2018). Bandwidth Reservation Strategies for Scheduling Maximization in Dedicated Networks. IEEE Transactions on Network and Service Management, 15(2), 11.
Yun, Daqing, & Wu, Chase Qishi, & Zhu, Michelle M. (2017). Transport-Support Workflow Composition and Optimization for Big Data Movement in High-performance Networks. IEEE Transactions on Parallel and Distributed Systems, 28(12), 3656-3670.
Wu, Chase Qishi, & Wang, Li (2017). On Efficient Deployment of Wireless Sensors for Coverage and Connectivity in Constrained 3D Space. Sensors, MDPI, 17(10), 26.
Cao, Zhanmao, & Wu, Chase Qishi, & Berry, Mark (2017). An Optimization Scheme for Routing and Scheduling of Concurrent User Requests in Wireless Mesh Networks. Computer Science and Information Systems, 14(3), 661-684.
Niu, Xinzheng, & Si, Weiyu, & Wu, Chase Qishi (2017). A Label-based Evolutionary Computing Approach to Dynamic Community Detection. Computer Communications, Elsevier, 108, 110-122.
Shu, Tong, & Wu, Chase Qishi (2017). Bandwidth Scheduling for Energy Efficiency in High-performance Networks. IEEE Transactions on Communications, 65(8), 3359-3373.
Hou, Aiqin, & Wu, Chase Qishi, & Fang, Dingyi, & Wang, Yongqiang, & Wang, Meng (2017). Bandwidth Scheduling for Big Data Transfer Using Multiple Fixed Node-Disjoint Paths. Journal of Network and Computer Applications, 85, 47-55.
Nie, Weike, & Xu, Kaijie, & Feng, Dazheng, & Wu, Chase Qishi, & Hou, Aiqin, & Yin, Xiaoyan (2017). A Fast Algorithm for 2D DOA Estimation Using Omnidirectional Sensor Array. Sensors, MDPI, 17(3), 14.
Zuo, Liudong, & Zhu, Michelle Mengxia, & Wu, Chase Qishi, & Zurawskid, Jason (2017). Fault-tolerant Bandwidth Reservation Strategies for Data Transfers in High-performance Networks. Computer Networks, 113, 16.
Gu, Yi, & Wu, Chase Qishi (2016). Performance Analysis and Optimization of Distributed Computing Workflows in Heterogeneous Network Environments. Transactions on Computers, 65(4), 1266-1282.
Fang, Dingyi, & Wu, Chase Qishi, & Wang, Jie, & Cai, Lin, & Jiang, Xiaohong (2015). Location-Related Challenges and Strategies in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 11(11), Article ID 571796.
Yun, Daqing, & Wu, Chase Qishi, & Gu, Yi (2015). An Integrated Approach to Workflow Mapping and Task Scheduling for Delay Minimization in Distributed Environments. Journal of Parallel and Distributed Computing, 84, 51-64.
Wu, Chase Qishi (2023). On Multi-Path Bandwidth Scheduling for Multiple Fixed-Slot Reservations in High-performance Networks. Computer Communications, 212, 63-77.
Liu, S, & Shen, W, & Wu, Chase Qishi, & Lyu, X (2023). Optimizing Temperature Setting for Decomposition Furnace Based on Attention Mechanism and Neural Networks. MDPI Sensors,
Cao, R., & Bao, L., & Zhangsun, P., & Wu, Chase Qishi, & Wei, S., & Sun, R., & Li, R., & Zhang, Z. (2023). PTSSBench: A Performance Evaluation Platform in Support of Automated Parameter Tuning of Software Systems. Automated Software Engineering, 31(4),
Wu, Chase Qishi (2023). On a Meta Learning-based Scheduler for Deep Learning Clusters. IEEE Transactions on Cloud Computing, 11, 3631-3642.
Wu, Chase Qishi (2023). CaFANet: Causal Factor-Aware Attention Networks for Equipment Fault Prediction in Internet of Things. Sensors, MDPI, 23(16),
Wu, Chase Qishi (2023). CM-CASL: Comparison-based Performance Modeling of Software Systems via Collaborative Active and Semisupervised Learning. Journal of Software Systems, 201(Article ID 111686),
Wu, Chase Qishi (2023). Evaluation of Table Grape Flavor Based on Deep Neural Networks. Applied Sciences, 13(11), Article ID 6532.
Wu, Chase Qishi (2023). Blockchain-Based P2P Content Delivery with Monetary Incentivization and Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems, 34(2), 746-765.
Wu, Chase Qishi (2023). WiFine: Real-time Gesture Recognition Using Wi-Fi with Edge Intelligence. ACM Transactions on Sensor Networks, 19(1), 1-24.
Lu, Songlin He Yuan, & Tang, Qiang, & Wang, Guiling, & Wu, Chase Qishi (2022). Blockchain-Based P2P Content Delivery ``With Monetary Incentivization and Fairness Guarantee. IEEE Transactions on Parallel and Distributed Systems,
Wu, Chase Qishi (2022). On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features. Computational and Mathematical Methods in Medicine(Article ID 4911005),
Wu, Chase Qishi (2022). On Weather Data-based Prediction of Gamma Exposure Rates Using Gradient Boosting Learning for Environmental Radiation Monitoring. Sensors, MDPI, 22(18),
Wu, Chase Qishi (2022). LightFD: Real-time Fault Diagnosis with Edge Intelligence for Power Transformers. Sensors, MDPI, 22(14),
Wu, Chase Qishi (2022). On a Blockchain-based Security Scheme for Defense Against Malicious Nodes in Vehicular Ad-Hoc Networks. Sensors, MDPI, 22(14),
Wu, Chase Qishi (2022). On Accurate Prediction of Cloud Workloads with Adaptive Pattern Mining. The Journal of Supercomputing, 79, 160-187.
Wu, Chase Qishi (2022). A Hybrid Trust Model Based on Communication and Social Trust for Vehicular Social Networks. International Journal of Distributed Sensor Networks, 18(5),
Wu, Chase Qishi (2022). XML2HBase: Storing and Querying Large Collections of XML Documents Using a NoSQL Database System. Journal of Parallel and Distributed Computing, 161, 83-99.
Wu, Chase Qishi (2022). On a Two-stage Progressive Clustering Algorithm with Graph-augmented Density Peak Clustering. Engineering Applications of Artificial Intelligence, 108,
Hou, A., & Wu, Chase Qishi, & Duan, Q., & Quan, D., & Zuo, L., & Li, Y., & Zhu, M. M., & Fang, D. (2021). SDN-based Bandwidth Scheduling for Prioritized Data Transfer between Data Centers. Cluster Computing, https://doi.org/10.1007/s10586-021-03364-7,
Niu, X., & Wang, S., & Wu, Chase Qishi, & Li, Y., & Wu, P., & Zhu, J. (2021). On a Clustering-based Mining Approach with Labeled Semantics for Significant Place Discovery. Information Sciences, 578(2021), 37-63.
Xing, T., & Wu, Chase Qishi, & Wang, J., & Shang, F., & Li, R., & Chen, X. (2021). A Vibration-based Multi-user Concurrent Communication System with Commercial Devices. Computer Networks, 194(108169),
Yun, Daqing, & Liu, Wuji, & Wu, Chase Qishi, & Rao, Nageswara S.V., & Kettimuthu, R. (2021). Exploratory Analysis and Performance Prediction of Big Data Transfer in High-performance Networks. Engineering Applications of Artificial Intelligence, 102(104285),
Chu, Dongliang, & Wu, Chase Qishi (2021). Generalizing the Over Operator for Parallelization and Order-independency. Journal of Parallel and Distributed Computing, 151, 52-60.
Niu, X., & Qian, M., & Wu, Chase Qishi, & Hou, A. (2021). On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree. Concurrency and Computation: Practice and Experience, https://doi.org/10.1002/cpe.6313,
Gao, B., & Chen, N., & Blaschke, T., & Wu, Chase Qishi, & Chen, J., & Xu, Y., & Yang, X., & Du, Z. (2021). Automated Characterization of Yardangs Using Deep Convolutional Neural Networks. Remote Sensing, 13(4), 733.
Niu, X, & Zhu, J, & Wu, Chase Qishi, & Wang, S (2020). On a Clustering-based Mining Approach for Spatially and Temporally Integrated Traffic Sub-area Division. Engineering Applications of Artificial Intelligence, 96(103932),
Cao, Huiyan, & Wu, Chase Qishi, & Hou, Aiqin, & Bao, Liang, & Shen, Wei (2020). Throughput Optimization for Storm-based Processing of Stream Data on Clouds. Future Generation Computer Systems, 112, 567-579.
Niu, X., & Chen, T., & Wu, Chase Qishi, & Niu, J. (2020). Label-Based Trajectory Clustering in Complex Road Networks. IEEE Transactions on Intelligent Transportation Systems, 21(10), 4098-4110.
Cao, Z, & Huang, Q, & Wu, Chase Qishi (2020). Maximize Concurrent Data Flows in Multi-radio Multi-channel Wireless Mesh Networks. Computer Science and Information Systems, 17(3), 759-777.
Wang, Q, & Xing, T, & Wu, Chase Qishi, & Xi, W, & Chen, X (2020). dWatch: A reliable and low-power drowsiness detection system for drivers based on mobile devices. ACM Transactions on Sensor Networks, 16(4), Article 37.
Shu, Tong, & Wu, Chase Qishi (2020). Energy-efficient Mapping of Large-scale Workflows Under Deadline Constraints in Big Data Computing Systems. Future Generation Computer Systems, 110, 515-530.
Fan, N, & Duan, Z, & Wu, Chase Qishi, & Zhu, G, & Yang, J, & Zhu, Y (2020). An Adaptive and Secure Traffic Information Forwarding Mechanism in Internet of Vehicles. International Journal of Communication Systems,
Zhang, H, & Huang, L, & Wu, Chase Qishi, & Li, Z (2020). An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset. Computer Networks, 177(107315),
Hou, Aiqin, & Wu, Chase Q, & Zuo, Liudong, & Zhang, Xiaoyang, & Wang, Tao, & Fang, Dingyi (2020). Bandwidth Scheduling for Big Data Transfer with Two Variable Node-Disjoint Paths. Journal of Communications and Networks, 22(2), 130-144.
Hou, A., & Wu, Chase Qishi, & Qiao, R., & Zuo, L., & Zhu, M. M., & Fang, D., & Nie, W., & Chen, F. (2020). QoS Provisioning for Various Types of Deadline-Constrained Bulk Data Transfers between Data Centers. Future Generation Computer Systems, 105, 162-174.
He, Songlin, & Tang, Qiang, & Wu, Chase Qishi, & Shen, Xuewen Decentralizing IoT Management Systems Using Blockchain for Censorship Resistance. IEEE Transactions on Industrial Informatics,
Yun, D., & Wu, Chase Qishi, & Rao, N. S.V., & Kettimuthu, R. (2019). Advising Big Data Transfer over Dedicated Connections Based on Profiling Optimization. IEEE/ACM Transactions on Networking, 27(6), 2280-2293.
Bao, L., & Wu, Chase Qishi, & Bu, X., & Ren, N., & Shen, M. (2019). Performance Modeling and Workflow Scheduling of Microservice-based Applications in Clouds. IEEE Transactions on Parallel and Distributed Systems, 30(9), 2101-2116.
Fan, N., & Wu, Chase Qishi (2019). On Trust Models for Communication Security in Vehicular Ad-hoc Networks. Ad Hoc Networks, Elsevier, 9, 13.
Wu, Chase Qishi, & Berry, Mark L., & Grieme, Kayla M., & Sen, S., & Rao, N. S.V., & Brooks, R. R., & Cordone, G. (2019). Network Detection of Radiation Sources Using Localization-based Approaches. IEEE Transactions on Industrial Informatics, 15(4), 2308-2320.
Peng, Q., & Zhou, Mengchu, & He, Q., & Xia, Y., & Wu, Chase Qishi, & Deng, S. (2018). Multi-Objective Optimization for Location Prediction of Mobile Devices in Sensor-based Applications. IEEE Access,
Zuo, L., & Zhu, M. M., & Wu, Chase Qishi (2018). Bandwidth Reservation Strategies for Scheduling Maximization in Dedicated Networks. IEEE Transactions on Network and Service Management, 15(2), 11.
Yun, Daqing, & Wu, Chase Qishi, & Zhu, Michelle M. (2017). Transport-Support Workflow Composition and Optimization for Big Data Movement in High-performance Networks. IEEE Transactions on Parallel and Distributed Systems, 28(12), 3656-3670.
Wu, Chase Qishi, & Wang, Li (2017). On Efficient Deployment of Wireless Sensors for Coverage and Connectivity in Constrained 3D Space. Sensors, MDPI, 17(10), 26.
Cao, Zhanmao, & Wu, Chase Qishi, & Berry, Mark (2017). An Optimization Scheme for Routing and Scheduling of Concurrent User Requests in Wireless Mesh Networks. Computer Science and Information Systems, 14(3), 661-684.
Niu, Xinzheng, & Si, Weiyu, & Wu, Chase Qishi (2017). A Label-based Evolutionary Computing Approach to Dynamic Community Detection. Computer Communications, Elsevier, 108, 110-122.
Shu, Tong, & Wu, Chase Qishi (2017). Bandwidth Scheduling for Energy Efficiency in High-performance Networks. IEEE Transactions on Communications, 65(8), 3359-3373.
Hou, Aiqin, & Wu, Chase Qishi, & Fang, Dingyi, & Wang, Yongqiang, & Wang, Meng (2017). Bandwidth Scheduling for Big Data Transfer Using Multiple Fixed Node-Disjoint Paths. Journal of Network and Computer Applications, 85, 47-55.
Nie, Weike, & Xu, Kaijie, & Feng, Dazheng, & Wu, Chase Qishi, & Hou, Aiqin, & Yin, Xiaoyan (2017). A Fast Algorithm for 2D DOA Estimation Using Omnidirectional Sensor Array. Sensors, MDPI, 17(3), 14.
Zuo, Liudong, & Zhu, Michelle Mengxia, & Wu, Chase Qishi, & Zurawskid, Jason (2017). Fault-tolerant Bandwidth Reservation Strategies for Data Transfers in High-performance Networks. Computer Networks, 113, 16.
Gu, Yi, & Wu, Chase Qishi (2016). Performance Analysis and Optimization of Distributed Computing Workflows in Heterogeneous Network Environments. Transactions on Computers, 65(4), 1266-1282.
Fang, Dingyi, & Wu, Chase Qishi, & Wang, Jie, & Cai, Lin, & Jiang, Xiaohong (2015). Location-Related Challenges and Strategies in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 11(11), Article ID 571796.
Yun, Daqing, & Wu, Chase Qishi, & Gu, Yi (2015). An Integrated Approach to Workflow Mapping and Task Scheduling for Delay Minimization in Distributed Environments. Journal of Parallel and Distributed Computing, 84, 51-64.
COLLAPSE
Edited Collection
Special Issue on Parallel and Edge Computing with Artificial Intelligence for Sensor Networks
Sensors, MDPI, May 2022
Special Issue on Recent Advances and Developments in e-Health
Computational and Mathematical Methods in Medicine, Hindawi, May 2022
Special Issue on Workflows in Support of Large-Scale Science
Concurrency and Computation: Practice and Experience, Wiley, March 2022
Special Issue on Computational Intelligence and Big Data for Scientific and Technological Resources and Services
IEICE Transactions on Information and Systems, August 2021
Sensors, MDPI, May 2022
Special Issue on Recent Advances and Developments in e-Health
Computational and Mathematical Methods in Medicine, Hindawi, May 2022
Special Issue on Workflows in Support of Large-Scale Science
Concurrency and Computation: Practice and Experience, Wiley, March 2022
Special Issue on Computational Intelligence and Big Data for Scientific and Technological Resources and Services
IEICE Transactions on Information and Systems, August 2021
Conference Proceeding
Detecting Low-level Radiation Sources Using Border Monitoring Gamma Sensors
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2020
Performance Modeling and Prediction of Big Data Workflows: An Exploratory Analysis
Proceedings of the 29th International Conference on Computer Communications and Networks, August 2020
Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning
Proceedings of the 19th IFIP Networking Conference, June 2020
On Performance Prediction of Big Data Transfer in High-performance Networks
Proceedings of IEEE International Conference on Communications, June 2020
Food Image Recognition Based on Densely Connected Convolutional Neural Networks
Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication, February 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2020
Performance Modeling and Prediction of Big Data Workflows: An Exploratory Analysis
Proceedings of the 29th International Conference on Computer Communications and Networks, August 2020
Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning
Proceedings of the 19th IFIP Networking Conference, June 2020
On Performance Prediction of Big Data Transfer in High-performance Networks
Proceedings of IEEE International Conference on Communications, June 2020
Food Image Recognition Based on Densely Connected Convolutional Neural Networks
Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication, February 2020
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On a Coexisting Scheme for Multiple Flows in Multi-Radio Multi-Channel Wireless Mesh Networks
Proceedings of the 10th International Symposium on Parallel Architectures, Algorithms and Programming, December 2019
Co-Scheduling of Advance and Immediate Bandwidth Reservations for Inter-Data Center Transfer
Proceedings of the Workshop on Innovating the Network for Data-Intensive Science, in conjunction with Supercomputing, November 2019
On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree
Proc. of the Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing, November 2019
On Distributed Information Composition in Big Data Systems
Proceedings of the 15th IEEE International Conference on eScience, September 2019
Bandwidth Reservation for Data Transfers Through Multiple Disjoint Paths of Dynamic HPNs
Proceedings of International Conferences on High Performance Computing and Communications, August 2019
On a Clustering-based Approach for Traffic Sub-area Division
Proceedings of the 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, July (3rd Quarter/Summer) 2019
Minimizing Financial Cost of Scientific Workflows Under Deadline Constraints in Multi-Cloud Environments
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, April (2nd Quarter/Spring) 2019
Intelligent Scheduling for Parallel Jobs in Big Data Processing Systems
Proceedings of International Workshop on Computing, Networking and Communications , February 2019
On Scheduling of High-Throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments
Proceedings of the 8th IEEE International Conference on Big Data and Cloud Computing, December 2018
Storage-aware Task Scheduling for Performance Optimization of Big Data Workflows
Proceedings of the 8th IEEE International Conference on Big Data and Cloud Computing, December 2018
Bandwidth Scheduling for Big Data Transfer with Deadline Constraint between Data Centers
Proceedings of the Workshop on Innovating the Network for Data-Intensive Science, in conjunction with Supercomputing, November 2018
Optimizing the Throughput of Storm-based Stream Processing in Clouds
Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing, November 2018
An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing
Proceedings of the 2nd International Conference on Healthcare Science and Engineering, Springer, September 2018
Proceedings of the 2nd International Conference on Healthcare Science and Engineering
Lecture Notes in Electrical Engineering, Springer International Publishing AG, September 2018
An Effective Deep Learning Based Scheme for Network Intrusion Detection
Proceedings of the 24th International Conference on Pattern Recognition, August 2018
End-System Aware Peak Link Utilization Transport for Big Data Transfer over Dedicated Connections
Proceedings of the 27th International Conference on Computer Communications and Networks, August 2018
On MapReduce Scheduling in Hadoop Yarn on Heterogeneous Clusters
Proceedings of the 12th IEEE International Conference on Big Data Science and Engineering, July (3rd Quarter/Summer) 2018
Bandwidth Preemption for High-Priority Data Transfer on Dedicated Channels
Proceedings of the 27th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2018
Multi-Path Routing for Maximum Bandwidth with K Edge-Disjoint Paths
Proceedings of the 14th International Wireless Communications and Mobile Computing Conference, June 2018
On a Dynamic Data Placement Strategy for Heterogeneous Hadoop Clusters
Proceedings of the International Symposium on Networks, Computers and Communications, June 2018
Intelligent Bandwidth Reservation for Big Data Transfer in High-Performance Networks
Proceedings of the IEEE International Conference on Communications, May 2018
Bandwidth Scheduling with Flexible Multi-Paths in High-performance Networks
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018
Performance Optimization of Budget-Constrained MapReduce Workflows in Multi-Clouds
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018
LAS: Logical-Block Affinity Scheduling in Big Data Analytics Systems
IEEE INFOCOM, April (2nd Quarter/Spring) 2018
Resource-aware Routing and Scheduling in Multi-Radio Multi-Channel Wireless Mesh Networks
Proceedings of International Workshop on Big Data with Computational Intelligence for Wireless Networking, April (2nd Quarter/Spring) 2018
Scheduling for Energy Efficiency and Throughput Maximization in a Faulty Cloud Environment
Proceedings of IEEE International Conference on Parallel and Distributed Systems, December 2017
Energy-efficient Dynamic Scheduling of Deadline-constrained MapReduce Workflows
Proceedings of the 13th IEEE International Conference on eScience, October (4th Quarter/Autumn) 2017
Linear Regression for Radioactive Source Detection
Proceedings of Nuclear Science Symposium, October (4th Quarter/Autumn) 2017
Synthesis of Radiation Counts for Networks of Detectors
Proceedings of Nuclear Science Symposium, October (4th Quarter/Autumn) 2017
Data Transfer Advisor with Transport Profiling Optimization
Proceedings of the 42nd IEEE Conference on Local Computer Networks, October (4th Quarter/Autumn) 2017
Flexible Bandwidth Scheduling for Streaming Data Movement Over Dedicated Networks
Proceedings of International Symposium on Sensor Networks, Sensor Systems, and Security, August 2017
Experiments and Analyses of Data Transfers Over Wide-Area Dedicated Connections
Proceedings of the 26th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2017
Periodic Scheduling of Deadline-constrained Variable Slot-Bandwidth Reservations for Scientific Collaboration
Proceedings of the 26th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2017
Improved Multi-Resolution Method for MLE-based Localization of Radiation Sources
Proceedings of the 20th International Conference on Information Fusion, July (3rd Quarter/Summer) 2017
Energy-efficient Dynamic Consolidation of Virtual Machines in Big Data Centers
Proceedings of the 12th International Conference on Green, Pervasive and Cloud Computing, May 2017
Bandwidth Scheduling in Overlay Networks with Linear Capacity Constraints
Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), May 2017
Performance Optimization of Hadoop Workflows in Public Clouds through Adaptive Task Partitioning
Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), May 2017
A Secure Framework for mHealth Data Analytics with Visualization
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, December 2016
Bandwidth Scheduling with Multiple Variable Node-Disjoint Paths in High-performance Networks
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, December 2016
A Source-Attractor Approach to Network Detection of Radiation Source
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2016
On a Pipeline-based Architecture for Parallel Volume Visualization of Big Data
Proceedings of the 3rd International Workshop on High Performance Computing for Big Data, in conjunction with the 45th International Conference on Parallel Processing, August 2016
Profiling Optimization for Big Data Transfer Over Dedicated Channels
Proceedings of the 25th International Conference on Computer Communication and Networks, August 2016
Bandwidth Scheduling with Multiple Fixed Node-Disjoint Paths in High-performance Networks
Proceedings of the 12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, July (3rd Quarter/Summer) 2016
Performance Analysis of Wald-Statistic Based Network Detection Methods for Radiation Sources
Proceedings of the 19th International Conference on Information Fusion, July (3rd Quarter/Summer) 2016
Optimizing the Performance of Big Data Workflows in Multi-Cloud Environments Under Budget Constraint
Proceedings of the 13th IEEE International Conference on Services Computing, June 2016
On Simple Computationally-Light Network Detection Methods for Radiation Sources
Proceedings of Symposium on Radiation Measurements and Applications, May 2016
Life and Death Decisions by Cyber-Physical Systems
Proceedings of Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, April (2nd Quarter/Spring) 2016
Distance-Agnostic, Application- and Resource-Aware Transport for Next-Generation Networks
Proceedings of DOE Network 2025 Challenges Workshop, February 2016
On Development and Optimization of Computing Workflows for Big Data Analytics in Brain Injury Research
Workshop on Data Science, Learning, and Applications to Biomedical & Health Sciences, January (1st Quarter/Winter) 2016
Advance Bandwidth Scheduling in Software-Defined Networks
Proceedings of the IEEE Globecom, December 2015
An Integrated Transport Solution to Big Data Movement in High-performance Networks
Proceedings of the 23rd IEEE International Conference on Network Protocols, PhD Forum, November 2015
Network Detection of Radiation Sources Using ROSD Localization
Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, October (4th Quarter/Autumn) 2015
On Periodic Scheduling of Fixed-Slot Bandwidth Reservations for Big Data Transfer
Proceedings of the 40th IEEE Conference on Local Computer Networks, October (4th Quarter/Autumn) 2015
Performance Trade-Offs in Distributed Detection Networks: Individual, Collective, Co-Located and Network Detection
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2015
An Integrated Transport Solution to Big Data Movement in High-performance Networks
The NSF Data Science Workshop, August 2015
Proceedings of the 10th International Symposium on Parallel Architectures, Algorithms and Programming, December 2019
Co-Scheduling of Advance and Immediate Bandwidth Reservations for Inter-Data Center Transfer
Proceedings of the Workshop on Innovating the Network for Data-Intensive Science, in conjunction with Supercomputing, November 2019
On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree
Proc. of the Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing, November 2019
On Distributed Information Composition in Big Data Systems
Proceedings of the 15th IEEE International Conference on eScience, September 2019
Bandwidth Reservation for Data Transfers Through Multiple Disjoint Paths of Dynamic HPNs
Proceedings of International Conferences on High Performance Computing and Communications, August 2019
On a Clustering-based Approach for Traffic Sub-area Division
Proceedings of the 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, July (3rd Quarter/Summer) 2019
Minimizing Financial Cost of Scientific Workflows Under Deadline Constraints in Multi-Cloud Environments
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, April (2nd Quarter/Spring) 2019
Intelligent Scheduling for Parallel Jobs in Big Data Processing Systems
Proceedings of International Workshop on Computing, Networking and Communications , February 2019
On Scheduling of High-Throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments
Proceedings of the 8th IEEE International Conference on Big Data and Cloud Computing, December 2018
Storage-aware Task Scheduling for Performance Optimization of Big Data Workflows
Proceedings of the 8th IEEE International Conference on Big Data and Cloud Computing, December 2018
Bandwidth Scheduling for Big Data Transfer with Deadline Constraint between Data Centers
Proceedings of the Workshop on Innovating the Network for Data-Intensive Science, in conjunction with Supercomputing, November 2018
Optimizing the Throughput of Storm-based Stream Processing in Clouds
Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing, November 2018
An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing
Proceedings of the 2nd International Conference on Healthcare Science and Engineering, Springer, September 2018
Proceedings of the 2nd International Conference on Healthcare Science and Engineering
Lecture Notes in Electrical Engineering, Springer International Publishing AG, September 2018
An Effective Deep Learning Based Scheme for Network Intrusion Detection
Proceedings of the 24th International Conference on Pattern Recognition, August 2018
End-System Aware Peak Link Utilization Transport for Big Data Transfer over Dedicated Connections
Proceedings of the 27th International Conference on Computer Communications and Networks, August 2018
On MapReduce Scheduling in Hadoop Yarn on Heterogeneous Clusters
Proceedings of the 12th IEEE International Conference on Big Data Science and Engineering, July (3rd Quarter/Summer) 2018
Bandwidth Preemption for High-Priority Data Transfer on Dedicated Channels
Proceedings of the 27th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2018
Multi-Path Routing for Maximum Bandwidth with K Edge-Disjoint Paths
Proceedings of the 14th International Wireless Communications and Mobile Computing Conference, June 2018
On a Dynamic Data Placement Strategy for Heterogeneous Hadoop Clusters
Proceedings of the International Symposium on Networks, Computers and Communications, June 2018
Intelligent Bandwidth Reservation for Big Data Transfer in High-Performance Networks
Proceedings of the IEEE International Conference on Communications, May 2018
Bandwidth Scheduling with Flexible Multi-Paths in High-performance Networks
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018
Performance Optimization of Budget-Constrained MapReduce Workflows in Multi-Clouds
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018
LAS: Logical-Block Affinity Scheduling in Big Data Analytics Systems
IEEE INFOCOM, April (2nd Quarter/Spring) 2018
Resource-aware Routing and Scheduling in Multi-Radio Multi-Channel Wireless Mesh Networks
Proceedings of International Workshop on Big Data with Computational Intelligence for Wireless Networking, April (2nd Quarter/Spring) 2018
Scheduling for Energy Efficiency and Throughput Maximization in a Faulty Cloud Environment
Proceedings of IEEE International Conference on Parallel and Distributed Systems, December 2017
Energy-efficient Dynamic Scheduling of Deadline-constrained MapReduce Workflows
Proceedings of the 13th IEEE International Conference on eScience, October (4th Quarter/Autumn) 2017
Linear Regression for Radioactive Source Detection
Proceedings of Nuclear Science Symposium, October (4th Quarter/Autumn) 2017
Synthesis of Radiation Counts for Networks of Detectors
Proceedings of Nuclear Science Symposium, October (4th Quarter/Autumn) 2017
Data Transfer Advisor with Transport Profiling Optimization
Proceedings of the 42nd IEEE Conference on Local Computer Networks, October (4th Quarter/Autumn) 2017
Flexible Bandwidth Scheduling for Streaming Data Movement Over Dedicated Networks
Proceedings of International Symposium on Sensor Networks, Sensor Systems, and Security, August 2017
Experiments and Analyses of Data Transfers Over Wide-Area Dedicated Connections
Proceedings of the 26th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2017
Periodic Scheduling of Deadline-constrained Variable Slot-Bandwidth Reservations for Scientific Collaboration
Proceedings of the 26th International Conference on Computer Communications and Networks, July (3rd Quarter/Summer) 2017
Improved Multi-Resolution Method for MLE-based Localization of Radiation Sources
Proceedings of the 20th International Conference on Information Fusion, July (3rd Quarter/Summer) 2017
Energy-efficient Dynamic Consolidation of Virtual Machines in Big Data Centers
Proceedings of the 12th International Conference on Green, Pervasive and Cloud Computing, May 2017
Bandwidth Scheduling in Overlay Networks with Linear Capacity Constraints
Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), May 2017
Performance Optimization of Hadoop Workflows in Public Clouds through Adaptive Task Partitioning
Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), May 2017
A Secure Framework for mHealth Data Analytics with Visualization
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, December 2016
Bandwidth Scheduling with Multiple Variable Node-Disjoint Paths in High-performance Networks
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, December 2016
A Source-Attractor Approach to Network Detection of Radiation Source
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2016
On a Pipeline-based Architecture for Parallel Volume Visualization of Big Data
Proceedings of the 3rd International Workshop on High Performance Computing for Big Data, in conjunction with the 45th International Conference on Parallel Processing, August 2016
Profiling Optimization for Big Data Transfer Over Dedicated Channels
Proceedings of the 25th International Conference on Computer Communication and Networks, August 2016
Bandwidth Scheduling with Multiple Fixed Node-Disjoint Paths in High-performance Networks
Proceedings of the 12th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, July (3rd Quarter/Summer) 2016
Performance Analysis of Wald-Statistic Based Network Detection Methods for Radiation Sources
Proceedings of the 19th International Conference on Information Fusion, July (3rd Quarter/Summer) 2016
Optimizing the Performance of Big Data Workflows in Multi-Cloud Environments Under Budget Constraint
Proceedings of the 13th IEEE International Conference on Services Computing, June 2016
On Simple Computationally-Light Network Detection Methods for Radiation Sources
Proceedings of Symposium on Radiation Measurements and Applications, May 2016
Life and Death Decisions by Cyber-Physical Systems
Proceedings of Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, April (2nd Quarter/Spring) 2016
Distance-Agnostic, Application- and Resource-Aware Transport for Next-Generation Networks
Proceedings of DOE Network 2025 Challenges Workshop, February 2016
On Development and Optimization of Computing Workflows for Big Data Analytics in Brain Injury Research
Workshop on Data Science, Learning, and Applications to Biomedical & Health Sciences, January (1st Quarter/Winter) 2016
Advance Bandwidth Scheduling in Software-Defined Networks
Proceedings of the IEEE Globecom, December 2015
An Integrated Transport Solution to Big Data Movement in High-performance Networks
Proceedings of the 23rd IEEE International Conference on Network Protocols, PhD Forum, November 2015
Network Detection of Radiation Sources Using ROSD Localization
Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, October (4th Quarter/Autumn) 2015
On Periodic Scheduling of Fixed-Slot Bandwidth Reservations for Big Data Transfer
Proceedings of the 40th IEEE Conference on Local Computer Networks, October (4th Quarter/Autumn) 2015
Performance Trade-Offs in Distributed Detection Networks: Individual, Collective, Co-Located and Network Detection
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2015
An Integrated Transport Solution to Big Data Movement in High-performance Networks
The NSF Data Science Workshop, August 2015
COLLAPSE
Book
Wu, Chase Qishi, & Wang, Zongmin, & Chen, Guanling, & Ferebee, Denise (2018). Special Issue on Recent Advances and Developments in Mobile Health. Journal of Healthcare Engineering, Hindawi
Rao, Nageswara S.V., & Brooks, Richard R., & Wu, Chase Qishi (2018). Proceedings of International Symposium on Sensor Networks, Systems and Security. Springer International Publishing AG
Rao, Nageswara S.V., & Brooks, Richard R., & Wu, Chase Qishi (2018). Proceedings of International Symposium on Sensor Networks, Systems and Security. Springer International Publishing AG
Chapter
Yun, D., & Wu, Chase Qishi (2018). Stochastic Approximation-based Transport Profiling for Big Data Movement over Dedicated Connections, S. Kadry (Ed.), Stochastic Methods for Estimation and Problem Solving in Engineering, IGI Global. (pp. 113-138). Stochastic Methods for Estimation and Problem Solving in Engineering, IGI Global
Cao, Fei, & Zhu, Michelle M, & Wu, Chase Qishi (2015). Green Cloud Computing with Efficient Resource Allocation Approach, X. Liu and Y. Li (Eds.), Green Services Engineering, Optimization, and Modeling in the Technological Age. (pp. 33). Green Services Engineering, Optimization, and Modeling in the Technological Age
Cao, Fei, & Zhu, Michelle M, & Wu, Chase Qishi (2015). Green Cloud Computing with Efficient Resource Allocation Approach, X. Liu and Y. Li (Eds.), Green Services Engineering, Optimization, and Modeling in the Technological Age. (pp. 33). Green Services Engineering, Optimization, and Modeling in the Technological Age