split embodied ai and snns

JimmyZou · Sep 11, 2024 · 2ca0ce6 · 2ca0ce6
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diff --git a/src/blog_embodied_ai.md b/src/blog_embodied_ai.md
@@ -5,7 +5,6 @@
  - [Survey Paper](#survey-paper)
  - [Vision-Language Navigation](#vision-language-navigation)
  - [Embodied Agents](#embodied-agents)
- - [SNNs](#snns)
 
 ---
 
@@ -78,51 +77,3 @@ _Yandan Yang, Baoxiong Jia, Peiyuan Zhi, Siyuan Huang_
 _Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang_
 
 ---
-
-## SNNs
-
-### Awesome Spiking Neural Networks [[github]](https://github.com/zhouchenlin2096/Awesome-Spiking-Neural-Networks)
-
-### [IEEE Transactions on Artificial Intelligence 2024] Spiking Diffusion Models [[PDF]](https://www.arxiv.org/abs/2408.16467)
-_Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu_
-- ![](../assets/fig_embodied/2.png) 
-
-### [arXiv 2023] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2308.10187)
-_Mingxuan Liu, Jie Gan, Rui Wen, Tao Li, Yongli Chen, Hong Chen_
-- ![](../assets/fig_embodied/1.png) 
-
-### [AAAI 2022] Fully Spiking Variational Autoencoder [[PDF]](https://arxiv.org/abs/2110.00375)
-_Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada_
-- ![](../assets/fig_embodied/3.png)
-
-### [arXiv 2023] Spiking Generative Adversarial Network with Attention Scoring Decoding [[PDF]](https://arxiv.org/abs/2305.10246)
-_Linghao Feng, Dongcheng Zhao, Yi Zeng_
-
-### [arXiv 2023] Fully Spiking Denoising Diffusion Implicit Models [[PDF]](https://arxiv.org/abs/2312.01742)
-_Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada_
-- ![](../assets/fig_embodied/4.png)
-- ![](../assets/fig_embodied/5.png)
-
-### [IEEE TPAMI 2023] Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN [[PDF]](https://arxiv.org/abs/2305.19868)
-_Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan_
-- ![](../assets/fig_embodied/6.png)
-
-### [ECCV 2022] Neural Architecture Search for Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2201.10355)
-_Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda_
-
-### [NeurIPS 2024] SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking [[PDF]](https://arxiv.org/pdf/2407.04752v1)
-_Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang_
-
-### [ICML 2024] SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms [[PDF]](https://arxiv.org/abs/2406.03287)
-_Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li_
-
-### [ECCV 2024] Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection [[PDF]](https://www.arxiv.org/abs/2407.20708)
-_Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li_
-
-### [IEEE TSIP 2022] Federated Learning with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2106.06579)
-_Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda_
-
-### [IEEE TPAMI 2021] Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2007.01204)
-_Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan_
-
----
diff --git a/src/blog_snns.md b/src/blog_snns.md
@@ -0,0 +1,56 @@
+# Blog SNNs Related
+
+---
+## Contents
+ - [SNNs](#snns)
+
+---
+
+
+## SNNs
+
+### Awesome Spiking Neural Networks [[github]](https://github.com/zhouchenlin2096/Awesome-Spiking-Neural-Networks)
+
+### [IEEE Transactions on Artificial Intelligence 2024] Spiking Diffusion Models [[PDF]](https://www.arxiv.org/abs/2408.16467)
+_Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu_
+- ![](../assets/fig_embodied/2.png) 
+
+### [arXiv 2023] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2308.10187)
+_Mingxuan Liu, Jie Gan, Rui Wen, Tao Li, Yongli Chen, Hong Chen_
+- ![](../assets/fig_embodied/1.png) 
+
+### [AAAI 2022] Fully Spiking Variational Autoencoder [[PDF]](https://arxiv.org/abs/2110.00375)
+_Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada_
+- ![](../assets/fig_embodied/3.png)
+
+### [arXiv 2023] Spiking Generative Adversarial Network with Attention Scoring Decoding [[PDF]](https://arxiv.org/abs/2305.10246)
+_Linghao Feng, Dongcheng Zhao, Yi Zeng_
+
+### [arXiv 2023] Fully Spiking Denoising Diffusion Implicit Models [[PDF]](https://arxiv.org/abs/2312.01742)
+_Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada_
+- ![](../assets/fig_embodied/4.png)
+- ![](../assets/fig_embodied/5.png)
+
+### [IEEE TPAMI 2023] Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN [[PDF]](https://arxiv.org/abs/2305.19868)
+_Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan_
+- ![](../assets/fig_embodied/6.png)
+
+### [ECCV 2022] Neural Architecture Search for Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2201.10355)
+_Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda_
+
+### [NeurIPS 2024] SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking [[PDF]](https://arxiv.org/pdf/2407.04752v1)
+_Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang_
+
+### [ICML 2024] SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms [[PDF]](https://arxiv.org/abs/2406.03287)
+_Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li_
+
+### [ECCV 2024] Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection [[PDF]](https://www.arxiv.org/abs/2407.20708)
+_Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li_
+
+### [IEEE TSIP 2022] Federated Learning with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2106.06579)
+_Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda_
+
+### [IEEE TPAMI 2021] Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2007.01204)
+_Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan_
+
+---