no code implementations • 23 Jan 2025 • Yunfei Ling, Zijie Liu, Jun Du, Yao Huang, Yuehang Wang, Bingjia Xiao, Xin Fang
An accurate evolution model is crucial for effective control and in-depth study of fusion plasmas.
1 code implementation • IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025 • Jinning Wang, Fangxing Li, Xin Fang, Hantao Cui, Buxin She, Hang Shuai, Qiwei Zhang, Kevin Tomsovic
In this paper, a modularized modeling framework is designed to enable a dynamics-incorporated power system scheduling under high-penetration of renewable energy.
no code implementations • 21 Nov 2024 • Hengyi Hong, Qing Wang, Jun Du, Ruoyu Wei, Mingqi Cai, Xin Fang
We propose a novel output representation that combines the DOA with distance of sound sources by calculating the real Cartesian coordinates to address the newly introduced source distance estimation (SDE) task in the Detection and Classification of Acoustic Scenes and Events (DCASE) 2024 Challenge.
no code implementations • 2 Jul 2024 • Minghui Wu, Luzhen Xu, Jie Zhang, Haitao Tang, Yanyan Yue, Ruizhi Liao, Jintao Zhao, Zhengzhe Zhang, Yichi Wang, Haoyin Yan, Hongliang Yu, Tongle Ma, Jiachen Liu, Chongliang Wu, Yongchao Li, Yanyong Zhang, Xin Fang, Yue Zhang
This report describes the submitted system to the In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) challenge, which considers the ASR task with multi-speaker overlapping and Mandarin accent dynamics in the ICMC case.
no code implementations • 25 Jun 2024 • Xin Fang, Wenbo Wang, Fei Ding
Load shedding is usually the last resort to balance generation and demand to maintain stable operation of the electric grid after major disturbances.
no code implementations • 21 Jun 2024 • Ya Jiang, Qing Wang, Jun Du, Maocheng Hu, Pengfei Hu, Zeyan Liu, Shi Cheng, Zhaoxu Nian, Yuxuan Dong, Mingqi Cai, Xin Fang, Chin-Hui Lee
Evaluation results on the Detection and Classification of Acoustic Scenes and Events (DCASE) 2023 Challenge data set demonstrate significant improvements in SELD performances.
no code implementations • 17 Mar 2024 • Liang Zou, Genwei Yan, Ruoyu Wang, Jun Du, Meng Lei, Tian Gao, Xin Fang
This paper focuses on few-shot Sound Event Detection (SED), which aims to automatically recognize and classify sound events with limited samples.
no code implementations • 19 Dec 2023 • Zishan Guo, Qinran Hu, Tao Qian, Xin Fang, Renjie Hu, Zaijun Wu
The proposed approach shows stable performance, reducing fluctuations by approximately 50% compared with IL.
1 code implementation • 15 Dec 2023 • Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang
The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis.
no code implementations • 7 Mar 2023 • Kang Li, Yan Song, Li-Rong Dai, Ian McLoughlin, Xin Fang, Lin Liu
In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio tagging (AT) task, termed AST-SED.
no code implementations • 2 Nov 2022 • Jie Bai, Xin Fang, Jianwu Fang, Jianru Xue, Changwei Yuan
To this end, we formulate a deep virtual to real distillation framework by introducing the synthetic data that can be generated conveniently, and borrow the abundant information of pedestrian movement in synthetic videos for the pedestrian crossing prediction in real data with a simple and lightweight implementation.
no code implementations • 20 Sep 2022 • Shuan Dong, Xin Fang, Jin Tan, Ningchao Gao, Xiaofan Cui, Anderson Hoke
The simulation results in the IEEE 39-bus system with different types of FFR demonstrate that the proposed method provides an accurate and fast prediction of the frequency nadir under various disturbances.
no code implementations • 27 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.
no code implementations • 5 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
Automatic Speech Recognition (ASR)
+3
no code implementations • 15 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.
no code implementations • 22 Jan 2022 • Qiu-Shi Zhu, Jie Zhang, Zi-Qiang Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai
In this work, we therefore first analyze the noise robustness of wav2vec2. 0 via experiments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
no code implementations • 7 May 2021 • Wenbo Wang, Xin Fang, Anthony Florita
Distributed energy resource (DER) frequency regulations are promising technologies for future grid operation.
no code implementations • 19 Mar 2021 • Yuxuan Wang, Maokui He, Shutong Niu, Lei Sun, Tian Gao, Xin Fang, Jia Pan, Jun Du, Chin-Hui Lee
This system description describes our submission system to the Third DIHARD Speech Diarization Challenge.
no code implementations • 15 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).
no code implementations • 24 Nov 2020 • Hantao Cui, Fangxing Li, Xin Fang
This letter investigates parallelism approaches for equation and Jacobian evaluations in large-scale power flow calculation.