学术团队

教师

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基本信息

姓名：朱林

职称：副教授

办公室地址：昌平校区人工智能学院522

电子邮箱：linzhu@bnu.edu.cn

个人主页：https://linzhu.tech/


研究领域

教育人工智能、OCR、计算机视觉、图像视频处理、智能媒体计算


教育背景

  • 2018年—2022年 北京大学计算机学院 计算机应用技术专业 博士 导师：田永鸿

  • 2015年—2018年 中国兵器科学研究院 系统工程专业 硕士 导师：宋跃进

  • 2010年—2014年 西北工业大学航天学院 探测制导与控制技术专业 学士



  • 工作经历 

  • 2026年1月-至今 北京师范大学人工智能学院 副教授

  • 2022年7月-2025年12月 北京理工大学计算机学院 助理教授/副研究员

  • 2022年7月-2025年12月 北京理工大学计算机学院 博士后（合作导师：黄华）


  • 主持和参加的科研项目

  • 主持国家自然青年科学基金

  • 主持博士后创新人才支持计划

  • 参与多项国家级项目


  • 奖励与荣誉

2022年中国图象图形学学会优秀博士论文提名

2023年博新计划

入选2024-2026年度北京市科协青年人才托举工程


学术与社会服务

担任IEEE Transactions on Image Processing期刊编委 (Associate Editor)

担任机器学习及计算机视觉NeurIPS、ICLR、ICML、CVPR、ICCV、ECCV等会议的程序委员会委员或审稿人

担任IEEE TPAMI、IEEE TIP、IEEE TMM、IEEE TCSVT、IEEE TCYB等期刊的审稿人


学术代表成果

  • L Zhu, K Jia, Y Zhao, Y Qi, L Wang, H Huang. DSNeRF: Dynamic View Synthesis for Ultra-Fast Scenes from Continuous Spike Streams. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (CCF-A).

  • L Zhu, X Chen, L Wang, X Wang, Y Tian, H Huang. Continuous-time Object Segmentation using High Temporal Resolution Event Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A).

  • D Gu, J Li*, L Zhu*, Y Zhang, JS Ren. Reliable Event Generation with Invertible Conditional Normalizing Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46 (2), 927–943, 2024. (CCF-A).

  • L Zhu, S Dong, J Li, T Huang, Y 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 (TPAMI), 45 (1), 1233–1249, 2022. (CCF-A).

  • P Zhang, L Zhu*, X Wang, L Wang, H Huang. EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2025. (CCF-A).

  • R Liu, L Zhu*, X Wang, L Wang, H Huang. Noise-Modeled Diffusion Models for Low-Light Spike Image Restoration. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2025. (CCF-A).

  • L Zhu, T Long, X Wang, L Wang, H Huang. Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection. In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A).

  • L Zhu, R Liu, X Wang, L Wang, H Huang. Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. In ACM International Conference on Multimedia (ACM MM), 2025. (CCF-A).

  • L Zhu, X Ma, X Wang, L Wang, H Huang. EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams. In International Conference on Machine Learning (ICML), 2025. (CCF-A).

  • L Zhu, K Jia, Y Zhao, Y Qi, L Wang, H Huang. SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  • M Geng, L Zhu*, L Wang, W Zhang, R Xiong, Y Tian*. Event-based Visible and Infrared Fusion via Multi-task Collaboration. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  • L Zhu, X Chen, X Wang, H Huang. Finding Visual Saliency in Continuous Spike Stream. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A).

  • L Zhu, Y Zheng, M Geng, L Wang, H Huang. Recurrent Spike-based Image Restoration under General Illumination. In ACM International Conference on Multimedia (ACM MM), 2023. (CCF-A).

  • Y Qi, L Zhu*, Y Zhang, J Li*. E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images. In IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (CCF-A).

  • L Zhu, X Wang, Y Chang, J Li, T Huang, Y Tian. Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A).

  • L Zhu, J Li, X Wang, T Huang, Y Tian. NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. In IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (CCF-A).

  • L Zhu, S Dong, J Li, T Huang, Y Tian. Retina-like Visual Image Reconstruction via Spiking Neural Model. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF-A).