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publications.md

@@ -82,11 +82,20 @@
 | [A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception](https://arxiv.org/abs/2303.14176) |                                                              |                                                              |
 | [Constrain Bias Addition to Train Low-Latency Spiking Neural Networks](https://www.mdpi.com/2076-3425/13/2/319) |                                                              |                                                              |
 | [Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer](https://arxiv.org/abs/2303.09681) | https://github.com/JimmyZou/HumanPoseTracking_SNN            |                                                              |
-| [Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation](https://arxiv.org/abs/2304.05627) |                                                              | CVPR 2022                                                    |
+| [Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation](https://arxiv.org/abs/2304.05627) |                                                              | CVPR 2023                                                    |
 | [Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras](https://arxiv.org/abs/2304.10211) |                                                              |                                                              |
 | [Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability](https://arxiv.org/abs/2304.12760) | https://github.com/fangwei123456/Parallel-Spiking-Neuron     |                                                              |
-| [Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network](https://arxiv.org/abs/2304.11954) | https://github.com/zhouchenlin2096/Spikingformer     |                                                              |
-| [Enhancing the Performance of Transformer-based Spiking Neural Networks by Improved Downsampling with Precise Gradient Backpropagation](https://arxiv.org/abs/2305.05954) | https://github.com/zhouchenlin2096/Spikingformer-CML     |                                                              |
+| [Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network](https://arxiv.org/abs/2304.11954) | https://github.com/zhouchenlin2096/Spikingformer             |                                                              |
+| [Enhancing the Performance of Transformer-based Spiking Neural Networks by Improved Downsampling with Precise Gradient Backpropagation](https://arxiv.org/abs/2305.05954) | https://github.com/zhouchenlin2096/Spikingformer-CML         |                                                              |
+| [Lip print recognition based on convolutional spiking neural network](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12707/127073M/Lip-print-recognition-based-on-convolutional-spiking-neural-network/10.1117/12.2680982.short) |                                                              | International Conference on Image, Signal Processing, and Pattern Recognition 2023 |
+| [Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli](https://arxiv.org/abs/2306.01354) |                                                              |                                                              |
+| [Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function](https://arxiv.org/abs/2305.19295) |                                                              |                                                              |
+| [A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-ion Batteries Capacity Prediction](https://ieeexplore.ieee.org/abstract/document/10132013) |                                                              | IEEE Transactions on Consumer Electronics                    |
+| [Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration](https://arxiv.org/abs/2304.12214) |                                                              |                                                              |
+| [Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based Vision](https://openaccess.thecvf.com/content/CVPR2023W/EventVision/html/Barchid_Exploring_Joint_Embedding_Architectures_and_Data_Augmentations_for_Self-Supervised_Representation_CVPRW_2023_paper.html) | https://github.com/Barchid/exploring_event_ssl               | CVPR 2023                                                    |
+| [End-to-End Neuromorphic Lip-Reading](https://openaccess.thecvf.com/content/CVPR2023W/EventVision/html/Bulzomi_End-to-End_Neuromorphic_Lip-Reading_CVPRW_2023_paper.html) |                                                              | CVPR 2023 Workshops                                          |
+| [Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras](https://arxiv.org/abs/2304.10211) |                                                              |                                                              |
+| [Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network](https://onlinelibrary.wiley.com/doi/abs/10.1002/aelm.202300018) |                                                              | Advanced Electronic Materials                                |
 
 If you use SpikingJelly in your paper, you can also add it to this table by pull request.