Search Results for author: Peng Xie

Found 7 papers, 0 papers with code

MCE: Mixed Cantonese and English Audio Dataset

no code implementations27 Oct 2023 Peng Xie, Zihao Xin, Yang Wang, Shengjun Huang, Tsz Wai Chan, Kani Chen

We proposed a novel evaluation metric called FAL, which assesses an Automatic Speech Recognition (ASR) system based on fidelity to the original audio, accuracy, and latency.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Key Gene Mining in Transcriptional Regulation for Specific Biological Processes with Small Sample Sizes Using Multi-network pipeline Transformer

no code implementations7 Aug 2023 Kerui Huang, Jianhong Tian, Lei Sun, Li Zeng, Peng Xie, Aihua Deng, Ping Mo, Zhibo Zhou, Ming Jiang, Yun Wang, Xiaocheng Jiang

Gene mining is an important topic in the field of life sciences, but traditional machine learning methods cannot consider the regulatory relationships between genes.

Data Augmentation

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

no code implementations6 Apr 2022 Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang

Second, we employ a dynamic graph relationship learning module to learn dynamic spatial relationships between metro stations without a predefined graph adjacency matrix.

Management Relation +2

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

no code implementations22 Jan 2022 Minbo Ma, Peng Xie, Fei Teng, Tianrui Li, Bin Wang, Shenggong Ji, Junbo Zhang

In this paper, we propose a novel Hierarchical Spatio-Temporal Graph Neural Network (HiSTGNN) to model cross-regional spatio-temporal correlations among meteorological variables in multiple stations.

Graph Learning Self-Learning +3

Exploring Multi-dimensional Data via Subset Embedding

no code implementations24 Apr 2021 Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen

The core of the approach is a subset embedding network (SEN) that represents a group of subsets as uniformly-formatted embeddings.

Quality Control of Neuron Reconstruction Based on Deep Learning

no code implementations19 Mar 2020 Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Li-Juan Liu, Yefeng Zheng

To ensure the quality of reconstructed neurons and provide guidance for annotators to improve their efficiency, we propose a deep learning based quality control method for neuron reconstruction in this paper.

Binary Classification

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