Contact

Phone: 470-578-3803

Email: ychen62@kennesaw.edu

Office Location: J 393

Office Hours:
-- Wednesdays: 3:30 PM to 5:00 PM (In-person at Norton Hall, R216). -- Fridays: 10:30 AM to 11:59 AM (Online via Microsoft Teams, see link in course syllabus)

Research

Google Scholar

Book Chapters

  • T. Scargill, S. Eom, Y. Chen, M. Gorlatova, Ambient intelligence for next-generation augmented reality, to appear in Springer Handbook of the Metaverse, Springer (invited book chapter).

Journal Articles

  • Y. Chen, S. Omoma, H. Kwon, H. Inaltekin, and M. Gorlatova, Quantifying and exploiting VR frame correlations: An application of a statistical model for viewport pose, IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 11466 - 11482, Dec. 2024.
  • Y. Han, Y. Chen, R. Wang, J. Wu, M. Gorlatova, Intelli-AR preloading: A learning approach to proactive hologram transmissions in mobile AR, IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17714-17727, Sept. 2022.
  • Y. Chen, H. Zhang, Exploiting transmission and caching diversity in cache-enabled user-centric network: analysis and optimization, IEEE Access, vol. 7, pp. 65934-65943, May 2019.
  • H. Zhang, Y. Chen, Z. Han, Explicit modeling and performance analysis of cell group selection with backhaul-aware biasing, IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 273-276, Feb. 2019.
  • H. Zhang, Y. Chen, Z. Yang, Hierarchical cache-aided transmission cooperation in 5G user-centric network: Performance analysis and design insights, Journal of Network and Computer Applications, vol. 111, pp. 17-27, Jun. 2018.
  • H. Zhang, Y. Chen, Z. Yang, X. Zhang, Flexible coverage for backhaul-limited ultra-dense heterogeneous networks: throughput analysis and η-optimal biasing, IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 4161-4172, May 2018.
  • H. Zhang, Y. Chen, Y. Liu, Spatial correlation based analysis of power control in user-centric 5G networks, IET Communications, vol. 12, no. 3, pp. 326-333, Feb. 2018.
  • H. Zhang, Y. Chen, D. Li, Y. Wang, Low-complexity sliding window block decoding using bit-flipping for OVFDM systems, IEEE Access, vol. 5, pp. 25171-25180, Nov. 2017.

Conference Proceedings

  • T. Hu, T. Scargill, F. Yan, Y. Chen, G. Lan, and M. Gorlatova, SEESys: Online Pose Error Estimation System for Visual SLAM, in Proc. ACM SenSys. 2024. (18.5% acceptance rate).
  • L. Duan, Y. Chen, Z. Qu, M. McGrath, E. Ehmke, M. Gorlatova, BiGuide: A bi-level data acquisition guidance for object detection on mobile devices, in Proc. ACM/IEEE IPSN, May 2024. (21.5% acceptance rate).
  • L. Duan, T. Scargill, Y. Chen, M. Gorlatova, 3D object detection with VI-SLAM point clouds: the impact of object and environment characteristics on model performance, in Proc. IEEE ICRA, May 2024.
  • T. Scargill, Y. Chen, T. Hu, M. Gorlatova, SiTAR: Situated trajectory analysis for in-the-wild pose error estimation, in Proc. IEEE ISMAR, Oct. 2023.
  • Y. Chen, H. Inaltekin, and M. Gorlatova, AdaptSLAM: Edge-assisted adaptive SLAM with resource constraints via uncertainty minimization, in Proc. IEEE INFOCOM, May 2023. (19.2% acceptance rate).
  • T. Scargill, Y. Chen, N. Marzen, M. Gorlatova, Integrated design of augmented reality spaces using virtual environments., in Proc. IEEE ISMAR, Oct. 2022. (21% acceptance rate).
  • Y. Chen, H. Kwon, H. Inaltekin, M.Gorlatova, VR viewport pose model for quantifying and exploiting frame correlations, in Proc. IEEE INFOCOM, May 2022. (19.9% acceptance rate).
  • Y. Chen, H. Zhang, Outage probability and average rate analysis of user-centric ultra-dense networks, in Proc. IEEE ICC, May 2019.
  • Y. Chen, H. Zhang, Matérn-like model based analysis for power control in user-centric 5G networks, in Proc. IEEE PIMRC, Oct. 2017.
  • Y. Chen, Z. Yang, H. Zhang, Opportunistic-based dynamic interference coordination in dense small cells deployment, in Proc. IEEE PIMRC, Oct. 2017.

Workshop Proceedings

  • T. Scargill, Y. Chen, S. Eom, J. Dunn, M. Gorlatova, Environmental, user, and social context-aware augmented reality for supporting personal development and change, in Proc. IEEE Workshop for Building the Foundations of the Metaverse, Mar. 2022 (co-located with IEEE VR’22).

Poster and Demo Presentations

  • T. Hu, T. Scargill, Y. Chen, G. Lan, M. Gorlatova, DNN-based SLAM tracking error online estimation, in Proc. ACM MobiCom, Oct. 2023. [Video of the demo]
  • L. Duan, Y. Chen, M. Gorlatova, Demo Abstract: BiGuide: A bi-level data acquisition guidance for object detection on mobile devices, in Proc. ACM/IEEE IPSN, May 2023. [Video of the demo]
  • Y. Chen, John Sarik, H. Inaltekin, M. Gorlatova, Demo: Demonstrating resource-efficient SLAM in virtual spacecraft environments, in Proc. IEEE INFOCOM, May 2023. [Video of the demo]
  • Y. Chen, H. Inaltekin, M. Gorlatova, Demo: Pixel similarity-based content reuse in edge-assisted virtual reality, in Proc. IEEE INFOCOM, May 2022. [Video of the demo]
  • Y. Chen, M. Gorlatova, A statistical model for device pose in virtual reality, CRA-WP Grad Cohort for Women, Apr. 2021.
  • Y. Chen,  Performance analysis for cache-enabled user-centric networks, 8th Networking Networking Women Workshop (N2Women), Nov. 2019.

Datasets and Codebases

  • Y. Chen, H. Inaltekin, M. Gorlatova, AdaptSLAM codebase, Dec. 2022. Available  here. Accompanies IEEE INFOCOM’23 paper AdaptSLAM: Edge-assisted adaptive SLAM with resource constraints via uncertainty minimization.
  • Y. Chen, H. Kwon, H. Inaltekin, M. Gorlatova, VR viewport pose dataset, Dec. 2021. Available  here. Accompanies IEEE INFOCOM’22 paper VR viewport pose model for quantifying and exploiting frame correlations.
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