Bio
I am a Ph.D. student at the University of Rochester advised by Yuhao Zhu, focusing 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 accepted by WACV 2025.
[Symposium] October 2024: I had the pleasure of presenting a demo at the AR/VR Symposium. Event Details.
[Paper] October 2024: One paper accepted by ASPLOS 2025.
[Paper] August 2024: One paper accepted by TACO.
[Paper] August 2024: One paper accepted by IROS 2024.
[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
( * : Equal contribution.)
2025
[HW, VR, CG] “MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering”
Weikai Lin*, Yu Feng*, and Yuhao Zhu.
ASPLOS 2025 (ACM International Conference on Architectural Support for Programming Languages and Operating Systems 2025)
[AI, CV] “Private-Eye: In-Sensor Privacy Preservation Through Optical Feature Separation”
Adith Boloor, Weikai Lin, Tianrui Ma, Yu Feng, Yuhao Zhu, Xuan Zhang.
WACV 2025 (IEEE/CVF Winter Conference on Applications of Computer Vision 2025)
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)
(Preprint and Shortened Version of MetaSapiens)
[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)