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I am currently a 5th year (final) year Ph.D. candidate in Computer Science at New Jersey Institute of Technology, advised by Prof. Cristian Borcea. I am interested in Machine Learning, Mobile Computing, and IoT. I build real-world efficient machine learning systems encompassing mobile and IoT devices. Currently, my research focuses on Federated Learning Systems. I received an MS in Computer Science from NJIT in 2016. |
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Conference and Journal Publications
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
IEEE Transactions on Mobile Computing, Vol. 23, No. 1, 2024.
GoPlaces: An App for Personalized Indoor Place Prediction
Pritam Sen, Xiaopeng Jiang, Qiong Wu, Manoop Talasila, Wen-Ling Hsu, Cristian Borcea
The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), September 2023.
Zone-based Federated Learning for Mobile Sensing Data
Xiaopeng Jiang, Thinh Oh, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri,, An Chen, Ruoming Jin, Cristian Borcea
The 21st IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), March 2023.
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
Xiaopeng Jiang and Cristian Borcea
The 37th AAAI Conference on Artificial Intelligence, February 2023, full oral presentation.
Indoor Place Prediction on Smart Phones (Demo Abstract) + Video
Pritam Sen, Xiaopeng Jiang, Qiong Wu, Manoop Talasila, Wen-Ling Hsu, Cristian Borcea
20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), November 2022.
Federated Meta-Location Learning for Fine-Grained Location Prediction
Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, and Cristian Borcea
IEEE International Conference on Big Data (IEEE BigData 2021), December 2021.
Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach
Shuai Zhao, Xiaopeng Jiang, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Raif Rustamov, Manoop Talasila, Syed Anwar Aftab, Yi Chen, and Cristian Borcea
The 17th Annual IEEE International Conference on Sensing, Communication and Networking (SECON), June 2020.
Under Submission
FedX: Adaptive Quantization for IoT Federated Learning
Phung Lai*, Xiaopeng Jiang*, Vijaya Datta Mayyuri, An Chen, Ruoming Jin, Cristian Borcea, NhatHai Phan (∗: Co-first author)
Targeting: the 33rd International Joint Conference on Artificial Intelligence (IJCAI), August 2024.
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang and Cristian Borcea
Targeting: the 12th International Conference on Learning Representations (ICLR), May 2024.
Books or Book Chapters
ZoneFL: Zone-based Federated Learning at the Edge
Xiaopeng Jiang, Hessamaldin Mohammadi, Cristian Borcea, NhatHai Phan
Book Chapter in Trustworthy Federated Machine Learning, Springer Optimization and its Applications Series, Springer, 2024.
Publications in Safety Engineering
A Biomechanical Evaluation of Dynamic and Asymmetric Lifting Using the AnyBody Commercial Software: a Pilot Study
Xiaopeng Jiang, A. K. Sengupta
The 4th International Conference on Applied Human Factors and Ergonomics 2012, July 2012.
Effect of Music and Induced Mental Load in Word Processing Task
Xiaopeng Jiang, A. K. Sengupta
2011 IEEE International Conference on Systems, Man, and Cybernetics, October 2011.
(US Patent 11,848,828, 2023) Artificial Intelligence Automation To Improve Network Quality Based On Predicted Location
Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, and Cristian Borcea
(Under examination) Fast and Accurate Indoor Localization Technique to Enhance and Provide Personalized Services
Manoop Talasila, Qiong Wu, Wen-Ling Hsu, Cristian Borcea, Xiaopeng Jiang, Pritam Sen
06/2019-Present: Research Collaborator - AT&T Labs
06/2019-Present: Research Assistant - New Jersey Institute of Technology
11/2019-08/2023: Research Collaborator - Qualcomm
05/2021-08/2021: Advanced Degrees Research Intern - AT&T Labs
01/2019-Present: Teaching Assistant - New Jersey Insitute of Technology
2023: Reviwer for IEEE Transactions on Mobile Computing (TMC)
2023: Reviwer for EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)
2023: Reviwer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
2023: Reviwer for IEEE International Conference on Mobile Cloud Computing, Services and Engineering (Mobile Cloud)
2023: Reviwer for IEEE/ACM International Symposium on Quality of Service (IWQoS)
2023: Reviwer for IEEE International Conference on Mobile Data Management (MDM)
2020: Reviwer for ACM Computing Surveys
2019: Reviwer for IEEE International Conference on Machine Learning and Applications (ICMLA)
2023: Research Collaboration with AT&T to Improve Network Experiences
2023: Invited Talk to Flower Monthly
2023: Research Collaboration with Qualcomm Brings Privacy-Preserving Machine Learning
2023: AAAI'23 paper in the news
2020: Smartphone Users Can Keep Privacy During Opt-In Behavior Research