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UMass Lowell will resume on-campus instruction, research and campus life for Fall 2020. View the plan for more info.

Publications

Recent Publications

Peer-reviewed Journals

2020    
Onur Barut, Li Zhou, Yan Luo, "Multi-task LSTM Model For Human Activity Recognition and Intensity Estimation using Wearable Sensor Data," in IEEE Internet of Things Journal, doi: 10.1109/jiot.2020.2996578.
2019    
Peilong Li, Chen Xu, Hao Jin, Chunyang Hu, Yan Luo, Yu Cao, Jomol Mathew and Yunsheng Ma, "ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains," in IEEE Systems Journal, doi:10.1109/jsyst.2019.2937930.
Hao Jin, Yan Luo, P. Li and J. Mathew, "A Review of Secure and Privacy-Preserving Medical Data Sharing," in IEEE Access, vol. 7, pp. 61656-61669, 2019.
2018
Xu, Chen, Peilong Li, and Yan Luo. “A programmable policy engine to facilitate time-efficient science DMZ management.” Future Generation Computer Systems 89 (2018): 515-524.
Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma, Songqing Chen, Peng Hou, A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure, IEEE Transactional on Service Computing, Vol 11, Issue 2, 2018.
2017
Xiaoban Wu, Peilong Li, Yongyi Ran, Yan Luo, Network measurement for 100 GbE network links using multicore processors, Elsevier Journal of Future Generation Computer Systems, 2018, Vol 17, Part 1, pg 180-189.
Rui Liu, Lu He, Yan Luo, Hengyong Yu, Singular Value Decomposition-based 2D image Reconstruction for Computed Tomography, Journal of X-Ray Science and Technology 25 (2017) 113-134, DOI 10.3233/XST-16173.

Peer-reviewed Conferences and Workshops

2020    
Ying Li, Chenxi Wang, Yu Cao, Benyuan Liu, Joanna Tan and Yan Luo, Human Pose Estimation Based In-Home Lower Body Rehabilitation System, International Joint Conference on Neural Networks (IJCNN), July 19-24, 2020, Glasgow, UK (Best Student Paper Award Finalist).
Derek Manning, Peilong Li, Xiaoban Wu, Yan Luo, Tong Zhang, Weigang Li. ACETA: Accelerating Encrypted Traffic Analytics on Network Edge. In IEEE International Conference on Communications, June 7-11, 2020.
2019   
Hao Jin, Chen Xu, Yan Luo, Peilong Li, Yu Cao and Jomol Mathew, Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain. In Proceedings of IEEE International Conference on Parallel and Distributed Systems 2019, December 4-7, 2019, Tianjin, China.
Xiaoban Wu, Peilong Li, Timothy Miskell, Liang-Min Wang, Yan Luo, Xiaohong Jiang,  Ripple: An Efficient Runtime Reconfigurable P4 Data Plane for Multicore Systems. In Proceedings of IEEE International Conference on Networking and Network Applications, Oct 10-13, 2019, Daegu, Korea.
Xiaoban Wu, Yan Luo, Jeronimo Bezerra, Liang-min Wang, Ares: A Scalable High-Performance Passive Measurement Tool Using a Multicore System. In Proceedings of IEEE International Conference on Networking, Architecture and Storage, Aug 15-17, 2019, Enshi, China.
Eric Finnerty, Zachary Sherer, Hang Liu, Yan Luo, Dr. BFS: Data Centric Breadth-First Search on FPGAs, In DAC '19: Proceedings of the 56th Annual Design Automation Conference, June 2019. 
Yan Luo, Hao Jin and Peilong Li. A Blockchain Future for Secure Clinical Data Sharing: a Position Paper. In SDN-NFVSec '19: Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization, March 2019,  Pages 23–27 doi:10.1145/3309194.3309198.
Zachary Sherer, Eric Finnerty, Yan Luo, Hang Liu. Software Hardware Co-Optimized BFS on FPGAs. In FPGA '19: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, February 2019  Pages 190, https://doi.org/10.1145/3289602.3293982.
2018
Yongyi Ran, Xiaoban Wu, Peilong Li, Chen Xu, Yan Luo, and Liang-Min Wang. Equery: Enable event-driven declarative queries in programmable network measurement. In IEEE/IFIP Network Operations and Management Symposium (NOMS’18), Taipei, Taiwan, April 2018 (Best Paper Award).
2017
Chen Xu, Peilong Li, and Yan Luo. A programmable policy engine to facilitate time-efficient science DMZ management. In Innovating the Network for Data-Intensive Science, INDIS’17 Workshop Affiliated with ACM/IEEE SuperComputing (SC), Denver, CO, Nov 12, 2017. 
Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo. Improved Multimodal Representation Learning with Skip Connections, in Proceedings of MM '17 Proceedings of the 2017 ACM on Multimedia Conference, Pages 654-662. 
Peilong Li, Chen Xu, Yan Luo, Yu Cao, Jomol Mathew, Yunsheng Ma. CareNet: Building Regulation-compliant Home-based Healthcare Services with Software-defined Infrastructure, IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, Philadelphia, PA, July 17-19, 2017.
Peilong Li, Xiaoban Wu, Yongyi Ran, Yan Luo. Designing Virtual Network Functions for 100 GbE Network Using Multicore Processors, ACM/IEEE Symposium on Architectures for Networking and Communication Systems, Beijing, China, May 18-19, 2017. 
Peilong Li, Chen Xu, Yan Luo, Yu Cao, Jomol Mathew, Yunsheng Ma. CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare, ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization (SDN-NFV Security 2017) Affiliated with ACM CODASPY, Scottsdale, AZ, March 24, 2017. 
2016
Wu, X., Li, P., Ran, Y., and Yan Luo. Network Measurement for 100Gbps Links Using Multicore Processors. In Innovating the Network for Data-Intensive Science, INDIS’16 Workshop Affiliated with ACM/IEEE SuperComputing (SC), Salt Lake City, Nov 13, 2016.
Chen Xu, Xiaoban Wu, Yan Luo, Brian Tierney and Jeronimo Bezerra, Pepple: Programmable Network Measurement for Troubleshooting Soft Failures, IEEE 37th Sarnoff Symposium, Newark NJ, Sept 19-21, 2016.  
Peilong Li, Yan Luo, P4GPU: Acceleration of Programmable Data Plane Using a CPU-GPU Heterogeneous Architecture, IEEE 17th International Conference on High Performance Switching and Routing, Yokohama, Japan, June 14-17, 2016.
Lu He, Tim Miskell, Rui Liu, Hengyong Yu, Huijuan Xu, Yan Luo, Scalable 2K K-SVD Parallel Algorithm for Dictionary Learning on GPU, ACM International Conference on Computing Frontiers 2016, May 16 - 18, 2016, Como, Italy.
2015
Lu He, Yan Luo, Rui Liu, Hengyong Yu, Yu Cao, Xuzhou Chen, Seung Woo Son, Bisection and Twisted SVD on GPU, IEEE High Performance Extreme Computing Conference, Waltham, MA,Sept 15-17, 2015.
Peilong Li, Yan Luo, Ning Zhang and Yu Cao, HeteroSpark: A Heterogeneous CPU/GPU Spark Platform for Machine Learning Algorithms, IEEE Conference on Networking, Architecture and Storage, Boston, MA, Aug 6-8, 2015.