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Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor


May 18, 2023
Zhengyang Chen, Bing Han, Shuai Wang, Yanmin Qian

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* Accepted by InterSpeech 2023 

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Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks


Apr 21, 2023
Wenxuan Pan, Feifei Zhao, Guobin Shen, Bing Han, Yi Zeng

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Self-Supervised Learning with Cluster-Aware-DINO for High-Performance Robust Speaker Verification


Apr 12, 2023
Bing Han, Zhengyang Chen, Yanmin Qian

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* Submitted to TASLP in July 19, 2022 

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Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks


Mar 31, 2023
Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han

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Automated Task-Time Interventions to Improve Teamwork using Imitation Learning


Mar 02, 2023
Sangwon Seo, Bing Han, Vaibhav Unhelkar

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* Extended version of an identically-titled paper accepted at AAMAS 2023 

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Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks


Nov 23, 2022
Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen

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Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks


Nov 22, 2022
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan

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Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022


Nov 02, 2022
Zhengyang Chen, Bing Han, Xu Xiang, Houjun Huang, Bei Liu, Yanmin Qian

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A comprehensive study on self-supervised distillation for speaker representation learning


Oct 28, 2022
Zhengyang Chen, Yao Qian, Bing Han, Yanmin Qian, Michael Zeng

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* Accepted by SLT2022 

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