Search Results for author: Xin Fang

Found 8 papers, 0 papers with code

DLMP of Competitive Markets in Active Distribution Networks: Models, Solutions, Applications, and Visions

no code implementations27 May 2022 Xiaofei Wang, Fangxing Li, Linquan Bai, Xin Fang

The DLMP provides a solution that can be essential for competitive market operation in future distribution systems.

A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition

no code implementations5 Apr 2022 Ye-Qian Du, Jie Zhang, Qiu-Shi Zhu, Li-Rong Dai, Ming-Hui Wu, Xin Fang, Zhou-Wang Yang

Unpaired data has shown to be beneficial for low-resource automatic speech recognition~(ASR), which can be involved in the design of hybrid models with multi-task training or language model dependent pre-training.

Automatic Speech Recognition

Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition

no code implementations15 Feb 2022 Zi-Qiang Zhang, Jie Zhang, Jian-Shu Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai

The proposed approach explores both the complementarity of audio-visual modalities and long-term context dependency using a transformer-based fusion module and a flexible masking strategy.

Audio-Visual Speech Recognition Lipreading +3

Impact of DER Communication Delay in AGC: Cyber-Physical Dynamic Simulation

no code implementations7 May 2021 Wenbo Wang, Xin Fang, Anthony Florita

Distributed energy resource (DER) frequency regulations are promising technologies for future grid operation.

XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition

no code implementations15 Mar 2021 Zi-Qiang Zhang, Yan Song, Ming-Hui Wu, Xin Fang, Li-Rong Dai

In this paper, we propose a weakly supervised multilingual representation learning framework, called cross-lingual self-training (XLST).

Data Augmentation Representation Learning +1

Effective Parallelism for Equation and Jacobian Evaluation in Power Flow Calculation

no code implementations24 Nov 2020 Hantao Cui, Fangxing Li, Xin Fang

This letter investigates parallelism approaches for equation and Jacobian evaluations in large-scale power flow calculation.

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