b'Bing Han'

research

∙ 09/21/2023

Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition

Current speaker recognition systems primarily rely on supervised approac...

0 Shuai Wang, et al. ∙

research

∙ 09/18/2023

Adaptive Reorganization of Neural Pathways for Continual Learning with Hybrid Spiking Neural Networks

The human brain can self-organize rich and diverse sparse neural pathway...

0 Bing Han, et al. ∙

research

∙ 09/13/2023

Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer

Deep neural network-based systems have significantly improved the perfor...

0 Zhengyang Chen, et al. ∙

research

∙ 08/28/2023

InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models

Music editing primarily entails the modification of instrument tracks or...

0 Bing Han, et al. ∙

research

∙ 08/09/2023

Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks

Children possess the ability to learn multiple cognitive tasks sequentia...

0 Bing Han, et al. ∙

research

∙ 07/17/2023

Exploring Binary Classification Loss For Speaker Verification

The mismatch between close-set training and open-set testing usually lea...

0 Bing Han, et al. ∙

research

∙ 06/27/2023

Wespeaker baselines for VoxSRC2023

This report showcases the results achieved using the wespeaker toolkit f...

0 Shuai Wang, et al. ∙

research

∙ 05/18/2023

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

This paper proposes a novel Attention-based Encoder-Decoder network for ...

0 Zhengyang Chen, et al. ∙

research

∙ 04/21/2023

Emergence of Brain-inspired Small-world Spiking Neural Network through Neuroevolution

Human brain is the product of evolution during hundreds over millions of...

7 Wenxuan Pan, et al. ∙

research

∙ 04/12/2023

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

Automatic speaker verification task has made great achievements using de...

0 Bing Han, et al. ∙

research

∙ 03/31/2023

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

The architecture design and multi-scale learning principles of the human...

6 Wenxuan Pan, et al. ∙

research

∙ 03/01/2023

Automated Task-Time Interventions to Improve Teamwork using Imitation Learning

Effective human-human and human-autonomy teamwork is critical but often ...

0 Sangwon Seo, et al. ∙

research

∙ 11/23/2022

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

Developmental plasticity plays a prominent role in shaping the brain's s...

0 Bing Han, et al. ∙

research

∙ 11/22/2022

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

Spiking Neural Networks (SNNs) are more biologically plausible and compu...

0 Bing Han, et al. ∙

research

∙ 11/02/2022

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

Different speaker recognition challenges have been held to assess the sp...

0 Zhengyang Chen, et al. ∙

research

∙ 10/28/2022

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

In real application scenarios, it is often challenging to obtain a large...

0 Zhengyang Chen, et al. ∙

research

∙ 10/24/2022

Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems

Recommender systems are fundamental information filtering techniques to ...

0 Xiaolin Zheng, et al. ∙

research

∙ 09/19/2022

SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022

This report describes the SJTU-AISPEECH system for the Voxceleb Speaker ...

0 Zhengyang Chen, et al. ∙

research

∙ 08/03/2022

The SJTU System for Short-duration Speaker Verification Challenge 2021

This paper presents the SJTU system for both text-dependent and text-ind...

0 Bing Han, et al. ∙

research

∙ 08/03/2022

Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction

For self-supervised speaker verification, the quality of pseudo labels d...

0 Bing Han, et al. ∙

research

∙ 06/23/2022

The SJTU X-LANCE Lab System for CNSRC 2022

This technical report describes the SJTU X-LANCE Lab system for the thre...

0 Zhengyang Chen, et al. ∙

research

∙ 05/26/2022

Cross-Architecture Self-supervised Video Representation Learning

In this paper, we present a new cross-architecture contrastive learning ...

0 Sheng Guo, et al. ∙

research

∙ 05/16/2022

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation

Sequential recommendation (SR) learns users' preferences by capturing th...

0 Naicheng Guo, et al. ∙

research

∙ 04/18/2022

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

Video summarization intends to produce a concise video summary by effect...

0 Wujiang Xu, et al. ∙

research

∙ 03/30/2022

AdaMixer: A Fast-Converging Query-Based Object Detector

Traditional object detectors employ the dense paradigm of scanning over ...

0 Ziteng Gao, et al. ∙

research

∙ 01/07/2022

Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents

Most dialogue systems in real world rely on predefined intents and answe...

0 Feng Wei, et al. ∙

research

∙ 09/14/2021

Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing

Tremendous progress has been made in sequential processing with the rece...

0 Bing Han, et al. ∙

research

∙ 07/06/2021

HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation

Session-based recommendation (SBR) learns users' preferences by capturin...

0 Naicheng Guo, et al. ∙

research

∙ 02/25/2020

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Spiking Neural Networks (SNNs) have recently attracted significant resea...

0 Bing Han, et al. ∙

research

∙ 02/25/2020

RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks

Spiking Neural Networks (SNNs) have recently attracted significant resea...

0 Bing Han, et al. ∙

research

∙ 09/12/2019

Synthetic estimation for the complier average causal effect

We propose an improved estimator of the complier average causal effect (...

0 Denis Agniel, et al. ∙

research

∙ 11/19/2018

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...

0 Yuanliu Liu, et al. ∙

Bing Han

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