Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags

1 code implementation • 10 Mar 2015 • Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hong-Wei Hao

However, topics of certain granularity are not adequate to represent the intrinsic semantic information.

Semantic Similarity Semantic Textual Similarity

Short Text Clustering via Convolutional Neural Networks

3 code implementations • WS 2015 • Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hong-Wei Hao

Clustering Short Text Clustering +1

Semantic Clustering and Convolutional Neural Network for Short Text Categorization

no code implementations • IJCNLP 2015 • Peng Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Heng Zhang, Fangyuan Wang, Hong-Wei Hao

Clustering Learning Word Embeddings +2

Convolutional Neural Networks for Text Hashing

no code implementations • IJCAI 2015 • Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, HongWei Hao

Meanwhile word features and position features are together fed into a convolutional network to learn the implicit features which are further incorporated with the explicit features to fit the pretrained binary code.

MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification

no code implementations • 7 Jul 2021 • Fangyuan Wang, Zhigang Song, Hongchen Jiang, Bo Xu

Most of the recent state-of-the-art results for speaker verification are achieved by X-vector and its subsequent variants.

Speaker Verification

Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR

1 code implementation • 29 Mar 2022 • Fangyuan Wang, Bo Xu

We integrate this scheme with the chunk-wise Transformer and Conformer, and identify them as SChunk-Transformer and SChunk-Conformer, respectively.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

An Embedded Feature Selection Framework for Control

1 code implementation • 19 Jun 2022 • Jiawen Wei, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, Ning Gui

Reducing sensor requirements while keeping optimal control performance is crucial to many industrial control applications to achieve robust, low-cost, and computation-efficient controllers.

feature selection

SSCFormer: Push the Limit of Chunk-wise Conformer for Streaming ASR Using Sequentially Sampled Chunks and Chunked Causal Convolution

no code implementations • 21 Nov 2022 • Fangyuan Wang, Bo Xu

Currently, the chunk-wise schemes are often used to make Automatic Speech Recognition (ASR) models to support streaming deployment.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification

no code implementations • 24 May 2023 • Xiyuan Wang, Fangyuan Wang, Bo Xu, Liang Xu, Jing Xiao

Typically, the Time-Delay Neural Network (TDNN) and Transformer can serve as a backbone for Speaker Verification (SV).

Speaker Verification

ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging

no code implementations • 5 Aug 2023 • Fangyuan Wang, Ming Hao, Yuhai Shi, Bo Xu

The conventional recipe for Automatic Speech Recognition (ASR) models is to 1) train multiple checkpoints on a training set while relying on a validation set to prevent overfitting using early stopping and 2) average several last checkpoints or that of the lowest validation losses to obtain the final model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1