• J. Chen and S. Dey, "Graph-Based Multi-Modal Multi-View Fusion for Facial Action Unit Recognition," in IEEE Access, doi: 10.1109/ACCESS.2024.3401168.    IEEE Xplore
  • S. Thornton and S. Dey, "Multi-modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments" to appear in IEEE Transactions on Vehicular Technology.    PDF
  • Y. Zhang, S. Dey and Y. Shi, "Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function," in IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3054-3065, May 2024, doi: 10.1109/TSG.2023.3327070.    IEEE Transactions on Smart Grid
  • B. Flowers, Y. -J. Ku, S. Baidya and S. Dey, "Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications," in IEEE Transactions on Vehicular Technology, vol. 73, no. 3, pp. 4051-4066, March 2024, doi: 10.1109/TVT.2023.3322068.     PDF    IEEE Explore


  • Y. Ku, S. Baidya and S. Dey, "Uncertainty-aware Task Offloading for Multi-vehicle Perception Fusion over Vehicular Edge Computing," to appear in IEEE Transactions on Vehicular Technology.    IEEE Xplore


  • Y. Ku, B. Flowers, S. Thornton, S. Baidya, and S. Dey, “Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages,” 2022 IEEE 95th Vehicular Technology Conference (VTC-Spring), Helsinki, Finland, Jun. 2022, pp. 1-7    IEEE Xplore
  • S. Thornton, B. Flowers and S. Dey, "Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments," in IEEE Access, vol. 10, pp. 131841-131854, 2022, doi: 10.1109/ACCESS.2022.3228735.    IEEE Xplore


  • Y. -J. Ku, S. Baidya and S. Dey, "Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing," in IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 13221-13237, Dec. 2021    IEEE Xplore
  • B. Flowers, X. Zhang and S. Dey, "Low Overhead Codebook Design for mmWave Roadside Units Placed at Smart Intersections," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, Finland, 2021, pp. 366-372, doi: 10.1109/PIMRC50174.2021.9569638.    IEEE Explore
  • J. Chen, S. Dey, L. Wang, N. Bi and P. Liu, "Multi-Modal Fusion Enhanced Model For Driver’s Facial Expression Recognition," 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Shenzhen, China, 2021, pp. 1-4, doi: 10.1109/ICMEW53276.2021.9455983.    PDF    IEEE Xplore


  • S. Thornton and S. Dey, "Machine Learning Techniques for Vehicle Matching with Non-Overlapping Visual Features," 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), Victoria, BC, Canada, 2020, pp. 1-6, doi: 10.1109/CAVS51000.2020.9334562.    pdf    IEEE Xplore
  • Y. Ku, P. Chiang and S. Dey, "Real-Time QoS Optimization for Vehicular Edge Computing With Off-Grid Roadside Units," in IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 11975-11991, Oct. 2020    IEEE Xplore
  • S. Baidya, Y. Ku, H. Zhao, J. Zhao, S. Dey, "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", in Proc. of 2020 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2020, pp. 1-6    pdf    IEEE Xplore


  • Y. Ku and S. Dey, “Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources,” 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, HI, USA, Sep. 2019, pp. 1-7    pdf    IEEE Xplore


  • Y. Ku, P. Chiang and S. Dey, “Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units,” 2018 27th International Conference on Computer Communication and Networks (ICCCN), Hangzhou, China, Jul. 2018, pp. 1-10.    PDF    IEEE Xplore