CV
Education
- Ph.D in School of Computer Science and Technology, Zhejiang University, 2025 (expected)
- B.S. in School of Computer Science and Technology, Sichuan University, 2020
Skills
Publications
- Lang Qin, Rui Yan, and Huajin Tang. A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI’23), Macao, China.
- Lang Qin, Ziming Wang, Rui Yan, and Huajin Tang. Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. IEEE Transactions on Neural Networks and Learning Systems (2023).
- Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang. GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI’25), Philadelphia, Pennsylvania, USA.
- Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang. EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. In: Proceedings of the 18th European Conference on Computer Vision (ECCV’24), Milano, Italy.
- Wenwu Jiang, Lang Qin, Lei Wang, Rui Yan. STDP-based Associative Memory Model on Spiking Neural Networks. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN’24), Yokohama, Japan.
