Lin Zhu

Lin Zhu

Ph.D., Assistant Professor, Associate Researcher

Lin Zhu （朱林）

Assistant Professor
School of Computer Science & Technology
Beijing Institute of Technology
Addr: Rm. 814, Central Teaching Building, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Beijing 100081, China

I am an assistant professor at the School of Computer Science & Technology, Beijing Institute of Technology, and also serve as an associate researcher and a supervisor for master’s students. I received my Ph.D. in Computer Science from Peking University in 2022 and was a visiting researcher at the Artificial Intelligence Center of Peng Cheng Laboratory from 2019 to 2021. My research interests include computer vision, neuromorphic vision, image processing, and neuromorphic computing. I have published over 60 papers in leading international journals and conferences such as IEEE TPAMI, IEEE TIP, CVPR, ICCV, AAAI, and ACM MM. I have led several research projects, including the National Natural Science Foundation of China (Young Scientists Program) and the Postdoctoral Innovative Talent Support Program (“Boxin Plan”), and was nominated for the CSIG Outstanding Doctoral Dissertation Award in 2022. I recruit 2–4 master’s and PhD students each year and welcome highly motivated students with strong research interests and solid programming skills. My research group provides a supportive environment with sufficient computational resources, research funding, and opportunities for domestic and international academic exchange.

Research Interests

AI+Education, Computer Vision, Deep Learning.

招收26届硕士生、博士生，欢迎联系！

E-mail: linzhu at bit.edu.cn / linzhu at pku.edu.cn

News and Events

(from 2023)

  • 2025 I was named NeurIPS 2025 Top Reviewer
  • 2025 Two papers were accepted by NeurIPS 2025
  • 2025 One paper was accepted by ACM MM 2025
  • 2025 One paper was accepted by ICML 2025
  • 2025 Two papers were accepted by IJCV
  • 2025 Two papers were accepted by IEEE TPAMI
  • 2025 Three papers were accepted by ICCV 2025
  • 2024.7 One paper was accepted by ACM MM 2024
  • 2024.7 One paper was accepted by ECCV 2024
  • 2024.6 I was named CVPR 2024 Outstanding Reviewer
  • 2024.2 Two papers were accepted by CVPR 2024
  • 2023.12 Two papers were accepted by AAAI 2024
  • 2023.10 One paper was accepted by IEEE TPAMI
  • 2023.9 One paper was accepted by IEEE TPAMI
  • 2023.9 One paper was accepted by IEEE TCYB
  • 2023.7 One paper was accepted by ICCV 2023
  • 2023.7 One paper was accepted by ACM’MM 2023
  • 2023.4 One paper was accepted by IEEE TMM

Recent Publications

See Google Scholar for more information.

2025

  • L Zhu, R Liu, 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).
  • X Ma, L Wang, X Wang, W Song, Q Sun, L Zhu, H Huang. Learning Refractive-Diffractive Optics with Unidirectional Transformer for Large Field-of-View Imaging. International Journal of Computer Vision, 2025. (CCF-A).
  • Y Zhu, X Wang, C Li, B Jiang, L Zhu, Z Huang, Y Tian, J Tang. CRSOT: Cross-resolution Object Tracking using Unaligned Frame and Event Cameras. IEEE Transactions on Multimedia, 2025. (CCF-B).
  • X Wang, C Wang, S Wang, X Wang, Z Zhao, L Zhu, B Jiang. MambaEVT: Event Stream-based Visual Object Tracking using State Space Model. IEEE Transactions on Circuits and Systems for Video Technology, 2025. (CCF-B).
  • 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).
  • H Feng, L Wang, Y Huang, T Li, L Zhu, H Huang. YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency. arXiv preprint arXiv:2506.03645, 2025.
  • T Li, L Wang, H Feng, L Zhu, H Huang. PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement. arXiv preprint arXiv:2505.09196, 2025.
  • X Wang, Y Rong, Z Wu, L Zhu, B Jiang, J Tang, Y Tian. SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. IEEE Transactions on Cognitive and Developmental Systems, 2025. (CCF-C).
  • M Geng, L Wang, L Zhu, W Zhang, R Xiong, Y Tian. Towards Ultra High-speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. International Journal of Computer Vision 133 (4), 1587–1610, 2025. (CCF-A).
  • S Wang, X Wang, C Wang, L Jin, L Zhu, B Jiang, Y Tian, J Tang. Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. arXiv preprint arXiv:2502.05574, 2025.
  • T Wang, L Zhu, H Huang. Enhancing Real-Time Object Detection with Optical Flow-Guided Streaming Perception. IEEE Transactions on Circuits and Systems for Video Technology, 2025. (CCF-B).
  • Y Wang, H Wang, L Wang, X Wang, L Zhu, W Lu, H Huang. Complementary Advantages: Exploiting Cross-field Frequency Correlation for NIR-assisted Image Denoising. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • T Li, L Wang, Z Xu, L Zhu, W Lu, H Huang. Positive2Negative: Breaking the Information-lossy Barrier in Self-supervised Single Image Denoising. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • X Wang, Y Jin, W Wu, W Zhang, L Zhu, B Jiang, Y Tian. Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • T Li, L Wang, H Feng, L Zhu, W Lu, H Huang. Rethinking Model Redundancy for Low-light Image Enhancement. arXiv preprint arXiv:2412.16459, 2025.

2024

  • 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).
  • X Wang, L Wang, X Ma, M Zhang, L Zhu, H Huang. In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).
  • H Liu, S Peng, L Zhu, Y Chang, H Zhou, L Yan. Seeing Motion at Nighttime with an Event Camera. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).
  • X Wang, S Wang, C Tang, L Zhu, B Jiang, Y Tian, J Tang. Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).
  • M Zhang, L Wang, L Zhu, H Huang. Learning a Physics-based Filter Attachment for Hyperspectral Imaging with RGB Cameras. Neurocomputing, 2024. (CCF-C).
  • 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).
  • X Wang, Z Wu, B Jiang, Z Bao, L Zhu, G Li, Y Wang, Y Tian. Hardvs: Revisiting Human Activity Recognition with Dynamic Vision Sensors. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A).
  • Y Zhu, X Wang, C Li, B Jiang, L Zhu, Z Huang, Y Tian, J Tang. CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. arXiv preprint, 2024.
  • L Zhu, W Yan, Y Chang, Y Tian, H Huang. Simultaneous Learning Intensity and Optical Flow from High-speed Spike Stream. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (CCF-B).
  • Y Qi, L Zhu, Y Zhao, N Bao, J Li. Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment. In ACM International Conference on Multimedia (ACM MM), 2024. (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), 2024. (CCF-A).
  • M Geng, L Wang, L Zhu, W Zhang, R Xiong, Y Tian. Event-enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A).
  • X Wang, Y Rong, F Wang, J Li, L Zhu, B Jiang, Y Wang. Event Stream-based Sign Language Translation: A High-definition Benchmark Dataset and A New Algorithm. arXiv preprint arXiv:2408.10488, 2024.
  • X Wang, S Wang, P Shao, B Jiang, L Zhu, Y Tian. Event Stream-based Human Action Recognition: A High-definition Benchmark Dataset and Algorithms. arXiv preprint arXiv:2408.09764, 2024.
  • Y Qi, J Li, Y Zhao, Y Zhang, L Zhu. ENeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images. arXiv preprint arXiv:2408.01840, 2024.
  • D Gu, J Li, L Zhu. Learning Adaptive Parameter Representation for Event-based Video Reconstruction. IEEE Signal Processing Letters, 2024. (CCF-C).
  • T Li, H Feng, L Wang, L Zhu, Z Xiong, H Huang. Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A).
  • L Zhu, Y Zheng, Y Zhang, X Wang, L Wang, H Huang. Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction. In European Conference on Computer Vision (ECCV), 2024 (Oral). (CCF-B).
  • P Zhang, L Zhu, L Wang, H Huang. Unifying Event-based Flow, Stereo and Depth Estimation via Feature Similarity Matching. arXiv preprint arXiv:2407.21735, 2024.
  • M Yan, L Wang, L Zhu, H Huang. Exploiting Frequency Correlation for Hyperspectral Image Reconstruction. arXiv preprint arXiv:2406.00683, 2024.
  • J Lian, L Wang, L Zhu, R Dian, Z Xiong, H Huang. Physics-Inspired Degradation Models for Hyperspectral Image Fusion. arXiv preprint arXiv:2402.02411, 2024.
  • 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).

2023

  • H Feng, L Wang, Y Huang, Y Wang, L Zhu, H Huang. Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising. arXiv preprint arXiv:2310.09126, 2023. (Preprint).
  • X Wang, J Li, L Zhu, Z Zhang, Z Chen, X Li, Y Wang, Y Tian, F Wu. Visevent: Reliable Object Tracking via Collaboration of Frame and Event Flows. IEEE Transactions on Cybernetics, 54 (3), 1997–2010, 2023. (CCF-B).
  • Y Chang, Y Guo, Y Ye, C Yu, L Zhu, X Zhao, L Yan, Y Tian. Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46 (5), 2638–2657, 2023. (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).
  • X Jiang, L Zhu, Y Hou, H Tian. Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection. IET Computer Vision, 2023. (CCF-C).
  • B Jiang, C Yuan, X Wang, Z Bao, L Zhu, Y Tian, J Tang. Point-voxel Absorbing Graph Representation Learning for Event Stream based Recognition. arXiv preprint arXiv:2306.05239, 2023. (Preprint).
  • T Huang, Y Zheng, Z Yu, R Chen, Y Li, R Xiong, L Ma, J Zhao, S Dong, L Zhu, … 1000× Faster Camera and Machine Vision with Ordinary Devices. Engineering 25, 110–119, 2023. (CCF-None).
  • P Zhu, X Wang, L Zhu, Z Sun, W-S Zheng, Y Wang, C Chen. Prompt-based Learning for Unpaired Image Captioning. IEEE Transactions on Multimedia, 26, 379–393, 2023. (CCF-B).
  • 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).
  • C Tang, X Wang, J Huang, B Jiang, L Zhu, J Zhang, Y Wang, Y Tian. Revisiting Color-event based Tracking: A Unified Network, Dataset, and Metric. arXiv preprint arXiv:2211.11010, 2023. (Preprint).

Before 2022

  • X Xiang, L Zhu, J Li, Y Tian, T Huang. Temporal Up-sampling for Asynchronous Events. In IEEE International Conference on Multimedia and Expo (ICME), 2022, 01–06. (CCF-B).
  • Y Wang, J Li, L Zhu, X Xiang, T Huang, Y Tian. Learning Stereo Depth Estimation with Bio-inspired Spike Cameras. In IEEE International Conference on Multimedia and Expo (ICME), 2022, 1–6. (CCF-B).
  • J Li, X Wang, L Zhu, J Li, T Huang, Y Tian. Retinomorphic Object Detection in Asynchronous Visual Streams. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 36 (2), 1332–1340, 2022. (CCF-A).
  • J Li, J Li, L Zhu, X Xiang, T Huang, Y Tian. Asynchronous Spatio-temporal Memory Network for Continuous Event-based Object Detection. IEEE Transactions on Image Processing (TIP), 31, 2975–2987, 2022. (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).
  • Y Ye, C Yu, Y Chang, L Zhu, X-L Zhao, L Yan, Y Tian. Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (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).
  • X Jiang, L Zhu, H Tian. Learning Event Guided Network for Salient Object Detection. Pattern Recognition Letters, 151, 317–324, 2021. (CCF-C).
  • Z Kang, J Li, L Zhu, Y Tian. Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021, 144–152. (CCF-A).
  • T Huang, L Zhu, Y Tian, Y Fu, J Li, S Dong, Y Wang. Spike Signal-based Display Method and System. US Patent 10,937,132, 2021. (Patent).
  • 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, X Jiang, J Li, Y Hao, Y Tian. Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. (CCF-B).
  • L Zhu, S Dong, T Huang, Y Tian. Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31 (7), 2837–2851, 2020. (CCF-B).
  • 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).
  • L Zhu, S Dong, J Li, T Huang, Y Tian. Learning Super-resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 33 (1), 16–29, 2020. (CCF-B).
  • L Zhu, S Dong, T Huang, Y Tian. A Retina-inspired Sampling Method for Visual Texture Reconstruction. In IEEE International Conference on Multimedia and Expo (ICME), 2019, 1432–1437. (CCF-B).
  • S Dong, L Zhu, D Xu, Y Tian, T Huang. An Efficient Coding Method for Spike Camera using Inter-spike Intervals. In Data Compression Conference (DCC), 2019. (CCF-B).
  • L Zhu, Y Hao, Y Song. Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background. IEEE Signal Processing Letters (SPL), 25 (1), 15–19, 2019. (CCF-C).

More info can be found in 中文介绍.