Lin Zhu

Lin Zhu

Ph.D., Assistant Professor, Associate Researcher

Biography

Lin Zhu （朱林）Assistant Professor
Lin Zhu, an assistant professor in the School of Computer Science & Technology, Beijing Institute of Technology, is also an associate researcher and a supervisor for master’s students. He obtained his Ph.D. degree from Peking University’s Computer Science Department in 2022. From 2019 to 2021, he engaged in academic exchanges at the Artificial Intelligence Center of Peng Cheng Laboratory. His primary research areas include computer vision, neural morphological vision, image processing, and neuromorphic computing. He has published over 10 research papers in top international journals and conferences such as IEEE TPAMI, IEEE TIP, CVPR, ICCV, AAAI, ACM MM, and holds more than 10 domestic and international patents, with 10 of them already granted.

He leads various research projects, including the National Natural Science Foundation of China for Young Scientists and the Postdoctoral Innovative Talent Support Program (referred to as “Boxin Plan”). In 2022, he was nominated for the Outstanding Doctoral Dissertation Award by the China Society of Image and Graphics (CSIG).

He accepts 2-4 master’s students every year and welcomes students who are passionate about research and have strong programming skills to join his team. The research team provides an excellent working environment, computational resources, research funding, and opportunities for domestic and international exchanges. Interested students are encouraged to contact him as soon as possible to express their intention to join the team!

Research Interests

Computer Vision, Deep Learning, Spiking Neural Network, Brain-inspired Computing, Neuromorphic Vision.

Research Experience

  • Intern, Pengcheng National Laboratory (PCNL), Shenzhen, Guangdong, 7/2019 - 01/2022
  • Ph.D., Peking University, School of Computer Science, Advisor: Prof. Yonghong Tian, 09/2018 - 06/2022
  • M.S., Chinese Academy of Ordnance Science, North Automatic Control Technology Institute, Advisor: Yuejin Song, 08/2015 - 06/2018
  • B.E., Northwestern Polytechnic University, School of Aerospace, 09/2010 - 07/2014

Recent Publications

  • Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang. Recurrent Spike-based Image Restoration under General Illumination. In ACM Multimedia (ACM MM) 2023. (CCF-A).

  • Yunshan Qi, Lin Zhu*, Yu Zhang, Jia Li*. E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images. In International Conference on Computer Vision (ICCV), 2023. (CCF-A).

  • Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian. Ultra-high Temporal Resolution Visual Reconstruction from a Fovea-like Spike Camera via Spiking Neuron Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IEEE TPAMI), 2022. (CCF-A).

  • Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian. Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A).

  • Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian. NeuSpike-Net: High Speed Image Reconstruction via Bio-inspired Neuromorphic Cameras. In International Conference on Computer Vision (ICCV), 2021. (CCF-A).

  • Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian. Retina-Like Visual Image Reconstruction via Spiking Neural Model. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral, CCF-A).

  • Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian. Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera. IEEE Transactions on Circuits and Systems for Video Technology. (IEEE TCSVT), 2021. (CCF-B).

  • Lin Zhu, Xiurong Jiang, Jianing Li, Yonghong Tian. Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Transactions on Multimedia Computing, Communications, and Applications. (ACM TOMM), 2020. (CCF-B).

Contact

School of Computer Science & Technology
Beijing Institute of Technology
E-mail: linzhu at bit.edu.cn
Addr: Rm. 816, Central Teaching Building, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Beijing 100081, China

For more info

More info can be found in 中文介绍.