De Ma
教师
Designs neuromorphic chips and systems for spiking neural network computation and brain-inspired computing architectures.
De Ma's lab at Zhejiang works on accelerators, chips & architecture. 36 papers since 2023, 19 at top venues, mostly AAAI and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 53%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 7 · collecting
- 16 papers2025 · T1 9
- 9 papers2024 · T1 3
- 1 papers2023 · T1 0
T1 venuesOtherVenues: AAAI, CVPR, ACM MM, Neural Networks, AAMAS
Research focuspaper titles that use each topic's words
- spiking18 papers
- spiking neural14 papers
- Accelerators, chips & architecture3 papers
- computing architectures0 papers
- brain-inspired computing0 papers
Paper list
From DBLP.
202610 papers
- ISCASA Lightweight Die-to-Die Interconnect with Co-Scheduling Framework for Scalable Multi-Chip Inference Accelerators (opens in a new tab)
- IEEE Trans. ComputersDepAsync: An Asynchronous SNN Accelerator Based on Core-Dependency (opens in a new tab)
- CVPR (T1)Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking Neurons (opens in a new tab)
- CVPR (T1)eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian Splatting (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.NPEva: An NoC-Based Neuromorphic Processors Performance Evaluation Framework for Benchmarking Spiking Neural Networks (opens in a new tab)
- CVPR (T1)On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks (opens in a new tab)
- CVPR (T1)Robust Spiking Neural Networks by Temporal Mutual Information (opens in a new tab)
- AAAI (T1)S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding (opens in a new tab)
- AAAI (T1)SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement (opens in a new tab)
- ACL (T1)SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models (opens in a new tab)
202516 papers
- ISCASAn NoC-Based Latency Upper-Bound Model for Reducing Timestep Length in SNN Communication (opens in a new tab)
- ISCASAn SRAM-Based Digital Compute-in-Memory Macro with Dual-Bit Input Data Sparsification and Restructuring for Energy-Efficient MAC (opens in a new tab)
- AAMAS (T1)Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors (opens in a new tab)
- ICCV (T1)E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes (opens in a new tab)
- IJCAI (T1)EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video (opens in a new tab)
- AAAI (T1)EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting (opens in a new tab)
- AAAI (T1)EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events (opens in a new tab)
- AAAI (T1)EvSTVSR: Event Guided Space-Time Video Super-Resolution (opens in a new tab)
- IEEE Trans. Very Large Scale Integr. Syst.HetSub: A Heterogeneous Multi-NoC With Reconfigurable Long-Range Links for Neuromorphic Systems (opens in a new tab)
- ICRA (T1)HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation (opens in a new tab)
- IEEE Trans. Parallel Distributed Syst.Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware (opens in a new tab)
- Neural NetworksPost-training quantization for efficient ANN-SNN conversion (opens in a new tab)
20249 papers
- ECCV (T1)EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks (opens in a new tab)
- Neural NetworksEfficient spiking neural network design via neural architecture search (opens in a new tab)
- ACM MMEvent-ID: Intrinsic Decomposition Using an Event Camera (opens in a new tab)
- NeurIPS (T1)FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor (opens in a new tab)
- Appl. Intell.Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons (opens in a new tab)
- AAAI (T1)Learning to Manipulate Artistic Images (opens in a new tab)
- IEEE Trans. Very Large Scale Integr. Syst.LSM-Based Hotspot Prediction and Hotspot-Aware Routing in NoC-Based Neuromorphic Processor (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.R-SNN: Region-Based Spiking Neural Network for Object Detection (opens in a new tab)
- ACM MMRSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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