Bio
I am a Ph.D. student at the University of Rochester with a focus on Computer Graphics VR, Sensor Design, Computer Architecture, and Robotics. My goal is to bridge the gap between hardware and software through system-level design and optimization.
Previously, I earned my B.E. from Tsinghua University and my M.Sc. from Peking University. I have also interned at AMD and Cambricon Technologies. Find more details in my CV.
News
[Paper] October 2024: One paper conditionally accepted by ASPLOS 2025.
[Paper] August 2024: One paper accepted by TACO.
[Conference] September 2024: Honored to participate in the NSF FuSe annual review as a student participant in Oregon.
[Conference] April 2024: Excited to join ASPLOS 2024 in San Diego. It was a wonderful experience!
[Conference] January 2024: Proud to demo HVS-VR (GitHub link) at EI-2024 in San Jose.
[FPGA, VR] January 2024: Developed an end-to-end, highly optimized CPU/GPU/FPGA pipeline for HVS-VR (GitHub link), idea is from an ASPLOS 2024 paper of our lab.
Publications & Projects
2024
[HW, VR, CG] “Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture” [Paper]
Yu Feng*, Weikai Lin*, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu.
TACO (ACM Transactions on Architecture and Code Optimization) , Just Accepted (August 2024).
[VR, CG] “RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering” [Paper], [Code]
Weikai Lin, Yu Feng, and Yuhao Zhu.
arXiv preprint arXiv:2407.00435 (2024).
[Robotics] “OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving”
Hu, Wenfei, Lin, Weikai, Fang, Hongyu, Wang, Yi, & Luo, Dingsheng.
IROS 2024 (IEEE/RSJ International Conference on Intelligent Robots and Systems).
[FPGA, VR] “Exploiting Human Color Discrimination for Memoryand Energy-Efficient Image Encoding in Virtual Reality: An FPGA Demo” [Code]
Open-Sourced Project, including highly optimized CPU/GPU/FPGA implementations.
2023
[Robotics] “Learning Clear Class Separation for Open-Set 3D Detector in Autonomous Vehicle Via Selective Forgetting”
Wenfei Hu, Weikai Lin, Hongyu Fang, Yi Wang, Dingsheng Luo.
RO-MAN 2023 (32nd IEEE International Conference on Robot and Human Interactive Communication) .
[Robotics] “A Review of Robot Learning”
Qu, W., Liu, T., Lin, W., & Luo, D. (2023).
Beijing Da Xue Xue Bao, 59(6), 1069-1086.
2021
[Robotics] “Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged”
Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu and Dingsheng Luo.
ICDL 2021 ( 2021 IEEE International Conference on Development and Learning).
[Robotics] “Acquiring Robot Navigation Skill with Knowledge Learned from Demonstration”
Yaoyao Wei, Shuai Fang, Weikai Lin, Jianan Zhang, and Dingsheng Luo.
ICDL 2021 ( 2021 IEEE International Conference on Development and Learning).