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Knowledge Graph Quality Evaluation under Incomplete Information


Dec 02, 2022
Xiaodong Li, Chenxin Zou, Yi Cai, Yuelong Zhu

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TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective


Nov 30, 2022
Andong Li, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng

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* In submission to ICASSP 2023, 5 pages 

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A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem


Nov 30, 2022
Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li

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* Submitted to TASLP, 13 pages 

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Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling


Nov 26, 2022
Yuan Sun, Su Nguyen, Dhananjay Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin

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Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling


Oct 31, 2022
Dhananjay Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

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Efficient Joint DOA and TOA Estimation for Indoor Positioning with 5G Picocell Base Stations


Jun 20, 2022
Mengguan Pan, Peng Liu, Shengheng Liu, Wangdong Qi, Yongming Huang, Xiaohu You, Xinghua Jia, Xiaodong Li

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* 18 pages, 16 figures 

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Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement


Apr 30, 2022
Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li

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* Accepted by IJCAI2022, Long Oral 

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TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory


Mar 16, 2022
Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li

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* Submitted to Interspeech2022 

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MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient


Mar 16, 2022
Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li

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* Submitted to Interspeech2022 

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TaylorBeamformer: Learning All-Neural Multi-Channel Speech Enhancement from Taylor's Approximation Theory


Mar 14, 2022
Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li

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* 5 pages, submitted to Interspeech2022 

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