Weikai Lin

Weikai Lin

PhD Student at University of Rochester

Bio

     A Ph.D. candidate 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 https://yuhaozhu.com/
    • Research Interests: VR and HCI system, Computational Sensor, Computer Architecture
  • Peking University
    M.Sc. in Intelligence Science and Technology
    Sept. 2020 ‑ June 2023
    • Advisor: Dingsheng Luo http://scholar.pku.edu.cn/dsluo
    • GPA: 3.73 / 4.0, equivalent to 90+ / 100
    • Research Interests: AI + Robotics, Autonomous Driving System, SLAM
    • Thesis: Sensorimotor coordinated unmanned vehicle autonomous exploration and mapping in unknown environment
  • Tsinghua University
    B.E. in Electronic Engineering
    Aug. 2016 ‑ June 2020
    • Advisor: Li Su http://web.ee.tsinghua.edu.cn/suli/en/index.htm
    • Research Interests: Wireless Communication System, 5G encoder‑decoder design and implementation
    • Thesis: High‑Speed Encoder and Decoder Design and Implementation for Terahertz Communication.

Work Experiences

  1. Advanced Micro Devices, Inc. (AMD), Co‑Op / Intern
    • SLAM for Autonomous Driving System: Lidar SLAM, BEV SLAM, Multisensor SLAM for real autonomous driving system
    • AMD GPUs Testing and Evaluation: Testing and evaluating AMD’s GPUs and Software stack on multiple famous Neural Network models.
  2. Cambricon Technologies Co., Ltd., Intern
    • Neural Networks pruning for super‑resolution networks

Publications

[1] 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)

[2] 刘天林 ∗，曲威名 ∗，林惟凯，罗定生. 机器人学习方法综述 [J]. 北京大学学报自 然科学版, 2023, 59

[3] 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.

[4] 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.