Weikai Lin

Weikai Lin

PhD Student at University of Rochester

Bio

     A Ph.D. student at the University of Rochester who is interested in VR, Sensor Design, Computer Architecture, Robotics, and Communication systems. My goal is to bridge the gap between hardware and software from the perspective of system‑level design and optimization. For example, many researchers in VR or Robotics are not familiar with hardware such as Sensors, Computation Units, or Communication Systems, and this gap will prevent the optimal design of the final system. To resolve this, we can perform system‑level hardware‑software co‑design to unleash the full power of technologies.

Educations

  • University of Rochester
    Ph.D. in Computer Science
    Sept. 2023 ‑ Current
    • Advisor: Yuhao Zhu
  • Peking University
    M.Sc. in Intelligence Science and Technology
    Sept. 2020 ‑ June 2023
    • Advisor: Dingsheng Luo
    • GPA: 3.73 / 4.0, equivalent to 90+ / 100
  • Tsinghua University
    B.E. in Electronic Engineering
    Aug. 2016 ‑ June 2020
    • Advisor: Li Su

Work Experiences

  1. Advanced Micro Devices, Inc. (AMD), Co‑Op / Intern

  2. Cambricon Technologies Co., Ltd., Intern

Publications

  • Lin, Weikai, Yu Feng, and Yuhao Zhu. “RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering.” arXiv preprint arXiv:2407.00435 (2024).

  • Hu, Wenfei, Lin, Weikai, Fang, Hongyu, Wang, Yi, & Luo, Dingsheng. (2024). OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving. Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

  • Wenfei Hu, Weikai Lin, Hongyu Fang, Yi Wang, Dingsheng Luo, “Learning Clear Class Separation for Open-Set 3D Detector in Autonomous Vehicle Via Selective Forgetting” 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

  • Qu, W., Liu, T., Lin, W., & Luo, D. (2023). A review of robot learning. Beijing Da Xue Xue Bao, 59(6), 1069-1086. doi:https://doi.org/10.13209/j.0479-8023.2023.086

  • Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu and Dingsheng Luo, ”Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged,” 2021 IEEE International Conference on Development and Learning (ICDL), Beijing, China, 2021, pp. 1-7, doi: 10.1109/ICDL49984.2021.9515634.

  • Yaoyao Wei, Shuai Fang, Weikai Lin, Jianan Zhang and Dingsheng Luo, ”Acquiring Robot Navigation Skill with Knowledge Learned from Demonstration,” 2021 IEEE International Conference on Development and Learning (ICDL), Beijing, China, 2021, pp. 1-6, doi: 10.1109/ICDL4998 4.2021.9515639.