| 2026 | AAAI | SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement. | Ruimin Sun, Haoran Xu, De Ma |
| 2026 | AAAI | S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding. | Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan |
| 2026 | ACL | SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models. | Ming Chen, Wenyao Li, Chao Liang, Shi Gu, Peng Lin, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2026 | ISCAS | A Lightweight Die-to-Die Interconnect with Co-Scheduling Framework for Scalable Multi-Chip Inference Accelerators. | Jie Ren, Jingyang Chen, De Ma, Xiaopeng Yu, Xiaolei Zhu |
| 2025 | AAAI | EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. | Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan |
| 2025 | AAAI | 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 |
| 2025 | AAAI | EvSTVSR: Event Guided Space-Time Video Super-Resolution. | Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | EMNLP | VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making. | Zuojin Tang, Bin Hu, Chenyang Zhao, De Ma, Gang Pan, Bin Liu |
| 2025 | ICCV | 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 |
| 2025 | ICML | Training High Performance Spiking Neural Network by Temporal Model Calibration. | Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | IJCAI | EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. | Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | ISCAS | An SRAM-Based Digital Compute-in-Memory Macro with Dual-Bit Input Data Sparsification and Restructuring for Energy-Efficient MAC. | Jingyang Chen, De Ma, Zhiping Yu, Xiaolei Zhu |
| 2025 | ISCAS | An NoC-Based Latency Upper-Bound Model for Reducing Timestep Length in SNN Communication. | Ziyang Kang, Shiming Li, Lei Wang, De Ma, Gang Pan |
| 2025 | ICRA | HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation. | Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang |
| 2024 | AAAI | Learning to Manipulate Artistic Images. | Wei Guo, Yuqi Zhang, De Ma, Qian Zheng |
| 2024 | ECCV | EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks. | Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang |
| 2023 | PSIVT | Spike-EFI: Spiking Neural Network for Event-Based Video Frame Interpolation. | Dong-Sheng Wu, De Ma |
| 2022 | IJCAI | Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. | Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan |
| 2021 | IJCAI | Event-based Action Recognition Using Motion Information and Spiking Neural Networks. | Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan |
| 2018 | IJCNN | Scalable NoC-based Neuromorphic Hardware Learning and Inference. | Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu |
| 2014 | ASPDAC | Annotation and analysis combined cache modeling for native simulation. | Rongjie Yan, De Ma, Kai Huang, Xiaoxu Zhang, Siwen Xiu |