Qian Zheng 郑乾

Assistant Professor

College of Computer Science and Technology,
Zhejiang University, Hangzhou, China.
Email: qianzheng@zju.edu.cn
Official Academic Profile: [En][中文]

I'm an Assistant Professor (百人计划研究员) at the College of Computer Science and Technology, Zhejiang University, and work closely with Prof Gang Pan and Prof Huajin Tang. I received my BEng (2011) and PhD (2017, supervisor: Prof Gang Pan) degrees in computer science from Zhejiang University. From 2018 to 2022, I was a Research Fellow at the ROSE Lab, Nanyang Technological University and worked closely with Prof Boxin Shi, Prof Xudong Jiang, and Prof Alex Kot.

I have co-authored over 80 peer-reviewed papers. I was a recipient of the ACM Rising Star Award (Hangzhou Chapter, 2024). I currently serves as an Associate Editor for Pattern Recognition (PR), IEEE Transactions on Cognitive and Developmental Systems (TCDS) , and Neurocomputing.

My research interests include Neuromorphic Computing, Computer vision, Machine Learning, with special emphasis on: Spiking Neural Networks (e.g., training methods, spiking LLM) and Neuromorphic Camera (e.g., event camera based low-level vision).

常年招收: 博士后、博士、硕士、本科实习生，欢迎邮件联系。希望你：

追求：科学严谨的逻辑思维、领域前沿的知识体系、良好的写作表达沟通等习惯

认可：文章质量远大于数量、科学研究是关于探索和创造、校园毕业只是职业生涯的开端

具备：诚实友善、责任心强、团结主动、乐于交流、独立思考、探索精神、辩证思维的品质

如果三天内我没有邮件回复，代表我没有相应的博士硕士指标、或没有合适的科研项目或方向。If no reply is received within three days, it indicates that I currently have no available openings for Ph.D. or Master's candidates, or no suitable research projects or topics.

🔥 News [Click to Expand]

📚 Selected Works (Since 2023) [Neuromorphic Computing]

Neuromorphic Computing: Spiking Neural Networks, Event Camera, Brain Data Processing

	E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes Yan Liu, Zehao Chen, Haojie Yan, De Ma, Huajin Tang, Qian Zheng📧, Gang Pan📧. International Conference on ComputerVision (ICCV), Oct 2025 [paper][code] (coming soon...) Mitigating the impact of noise and sparsity brought by event streams for event-guided novel view-time synthesis
	Training High Performance Spiking Neural Network by Temporal Model Calibration Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng📧, Gang Pan📧 International Conference on Machine Learning (ICML), Jul 2025 [paper][code] (coming soon...) Exploit spiking neural networks' temporal heterogeneity through logit gradient analysis Highest reported SNN accuracy (up to Jun 2025): 85.83% (ImageNet-1K) and 87.63±0.15% (CIFAR10-DVS)
	EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video Mengxu Lu, Zehao Chen, De Ma📧, Huajin Tang, Qian Zheng📧, Gang Pan. International Joint Conference on Artificial Intelligence (IJCAI), Aug 2025 [paper][code] (coming soon...) Event-enhanced dynamic 3DGS model taking the input of motion-blurred monocular video Reconstruct the motion mask field and separate static and dynamic regions
	EvSTVSR: Event Guided Space-Time Video Super-Resolution Haojie Yan, Zhan Lu, Zehao Chen, De Ma📧, Huajin Tang, Qian Zheng📧, Gang Pan. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb 2025 [paper][code] (coming soon...) Event-Guided space-time video super-resolution with fewer adjacent frames Excel in handling large motion scenarios
	EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng📧, Gang Pan📧 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb 2025 [paper][code] (coming soon...) Reconstruct HDR radiance field even if input images are degraded and are single-exposured Reconstruct Camera Response Function (CRF) from single-exposure images
	Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting Weixing Zhang, Zongrui Li, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng📧, Gang Pan arXiv preprint arXiv:2410.07266 (Arxiv), Oct 2024 [paper][code] Spiking neuron to reduce excessive Gaussians Faster, lower storage, and higher accuracy 3DGS-based surface reconstruction Stable performance superiority of bio-inspired neural computation over artificial neuron-based computation on core AI tasks
	Event-ID: Intrinsic Decomposition Using an Event Camera Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Qian Zheng📧, Gang Pan📧 ACM International Conference on Multimedia (MM), Oct 2024 [paper][code] (coming soon...) Event-based model establishes relationship between events and intrinsic components Multi-view consistency of events to extract specular-related clues Event-guided intrinsic decomposition framework enables relighting under extreme conditions
	Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation Zhanfeng Liao, Yan Liu, Qian Zheng📧, Gang Pan📧 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb 2024 (Oral) [paper][code][VALSE论文速览] An ANN-SNN hybrid MLP for NeRF-based 3D surface reconstruction Demonstrate the superiority of spiking neuron on 3D surface representation Stable performance superiority of bio-inspired neural computation over artificial neuron-based computation on core AI tasks
	Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN Yangfan Hu, Qian Zheng*, Xudong Jiang, Gang Pan📧 IEEE Transactions on Pattern Analysis and Machine Intelligence* (TPAMI), Dec 2023 [paper][code] An ANN2SNN conversion method with high performance and low time step Highest reported SNN accuracy (up to Jun 2025): object detection (mAP: 73.43%, time steps: 7, PASCAL VOC 2007), and semantic segmentation (mIoU: 69.7%, time steps: 15, PASCAL VOC 2012)

🌏 Activities

Associate Editor: Pattern Recognition (2026.2 - present); IEEE Transactions on Cognitive and Developmental Systems (2024.12 - present); Neurocomputing (2023.10 - present)
Area Chair: BMVC 2026; ICME 2026; MIND 2025; PRCV 2023, 2025, 2026
Reviewer: TPAMI, IJCV, TIP, TNNLS, TCSVT, TMM; CVPR, ICCV, ECCV, ICML, ICLR, SIGGRAPH, AAAI, IJCAI, ACM MM
Committee Member: Executive Area Chair Committee of the Vision And Learning Seminar (2024/2025 副主席委员, 2026 主席委员); The Branch of Consciousness Science of the Chinese Cognitive Science Society (中国认知科学学会意识科学分会委员); Young Professionals Committee of Chinese Association for Artificial Intelligence (中国人工智能协会青年工作委员会委员); The Branch of Brain-computer Interface & Interaction of Chinese Neuroscience Society (中国神经科学学会脑机分会委员)
Conference Organizer: Publicity Chair: BMVC 2026, VALSE 2026; Tutorial Chair: VALSE 2023 (5000+ attendees), ChinaBMI 2025; Poster Chair: VALSE 2025 (5900+ attendees); Registration Chair: ChinaBMI 2024 (1000+ attendees); Finance Chair: IEEE CIS-RAM 2024; APR Chair: VALSE 2024 (5000+ attendees)
Workshop Organizer: The Second Young Scholars Workshop on Neuromorphic Computing, MIND 2025; Brain-inspired Intelligence and Technology , Academic Conference of China Instrument and Control Society 2025; The First Young Scholars Workshop on Neuromorphic Computing, IEEE CIS-RAM 2024; Brain-Inspired Vision and Learning, VALSE 2024
Others: CVPR 2025 Outstanding Reviewer (711/12593); CVPR 2024 Outstanding Reviewer; ACM Rising Star, Hangzhou Chapter, 2024; Excellent Research Fellow 2021, Nanyang Technological University (top 10%); BMVC 2020 Outstanding Reviewer; Outstanding Doctoral Dissertation Fellowship, Zhejiang University, 2017

📆 Teaching

Undergraduate: CS3140M: Theory of Computation, Zhejiang University, 2025-2026; 21120520: Theory of Computation, Zhejiang University, 2023-2025
Graduate: 2122021002: Computer Vision, Zhejiang University, 2025-2026; 22124095002: Machine Learning, Zhejiang University, 2022-2025