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Shiyun Xu
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2020 – today
- 2024
- [j5]Xiao Zeng, Shiyun Xu, Mingjiang Wang:
A time-frequency fusion model for multi-channel speech enhancement. EURASIP J. Audio Speech Music. Process. 2024(1): 47 (2024) - [c14]Zhengwei Shen, Guangru Zhang, Shuonan Hou, Gongwei Xi, Mingjian Fan, Shiyun Xu, Bing Zhao:
A fast evaluation method for static voltage stability margin after transmission line switching considering variable step size. PEAI 2024: 370-375 - [i5]Zhiqi Bu, Shiyun Xu:
Automatic gradient descent with generalized Newton's method. CoRR abs/2407.02772 (2024) - 2023
- [j4]Shiyun Xu, Zehua Zhang, Mingjiang Wang:
Channel and temporal-frequency attention UNet for monaural speech enhancement. EURASIP J. Audio Speech Music. Process. 2023(1): 30 (2023) - [c13]Zehua Zhang, Changjun He, Shiyun Xu, Mingjiang Wang:
Real and imaginary part interaction network for monaural speech enhancement and de-reverberation. APSIPA ASC 2023: 972-977 - [c12]Zehua Zhang, Shiyun Xu, Xuyi Zhuang, Yukun Qian, Lianyu Zhou, Mingjiang Wang:
Half-Temporal and Half-Frequency Attention U2Net for Speech Signal Improvement. ICASSP 2023: 1-2 - [c11]Zehua Zhang, Shiyun Xu, Xuyi Zhuang, Lianyu Zhou, Heng Li, Mingjiang Wang:
Two-Stage UNet with Multi-Axis Gated Multilayer Perceptron for Monaural Noisy-Reverberant Speech Enhancement. ICASSP 2023: 1-5 - [c10]Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett:
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. ECML/PKDD (3) 2023: 343-359 - 2022
- [c9]Zhiqi Bu, Jialin Mao, Shiyun Xu:
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy. NeurIPS 2022 - [i4]Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett:
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. CoRR abs/2202.12482 (2022) - [i3]Zhiqi Bu, Jialin Mao, Shiyun Xu:
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy. CoRR abs/2205.10683 (2022) - 2021
- [c8]Shiyun Xu, Zhiqi Bu:
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks. AISTATS 2021: 3097-3105 - [c7]Zhiqi Bu, Shiyun Xu, Kan Chen:
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks. AISTATS 2021: 3187-3195 - [c6]Kan Chen, Zhiqi Bu, Shiyun Xu:
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing. ECML/PKDD (3) 2021: 510-526 - 2020
- [i2]Zhiqi Bu, Shiyun Xu, Kan Chen:
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks. CoRR abs/2010.13165 (2020) - [i1]Shiyun Xu:
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks. CoRR abs/2011.00417 (2020)
2010 – 2019
- 2019
- [j3]Zhanqiang Zhang, Chun-xia Dou, Dong Yue, Bo Zhang, Shiyun Xu, Tasawar Hayat, Ahmed Alsaedi:
An Event-Triggered Secondary Control Strategy With Network Delay in Islanded Microgrids. IEEE Syst. J. 13(2): 1851-1860 (2019) - 2018
- [j2]Lei Gao, Yanchao Ma, Yonghui Nie, Shiyun Xu, Xiaojie Chu, Long Peng:
Wide-Area Damping Controller Design Based on the Frequency Domain Self-Excitation Method. J. Control. Sci. Eng. 2018: 2738362:1-2738362:9 (2018) - 2012
- [j1]Shiyun Xu, Yong Tang, Huadong Sun, Bing Zhao, Zhan-Ming Chen:
On parameter-dependent Lyapunov functions for robust fault detection filter design with application in power systems. J. Frankl. Inst. 349(7): 2389-2405 (2012) - 2011
- [c5]Shiyun Xu, Yong Tang, Huadong Sun, Ziguan Zhou, Ying Yang:
A pendulum-like system approach to the anticipating synchronization of RCL-shunted Josephson junctions. ACC 2011: 5091-5096 - 2010
- [c4]Shiyun Xu, Ying Yang:
Generalized synchronization of coupled Duffing oscillators: an LMI based approach. ACC 2010: 1761-1766 - [c3]Shiyun Xu, Ying Yang:
Global robust ℋ-/ℋ∞ synchronization for a class of dynamical networks. ACC 2010: 4480-4485 - [c2]Lei Cui, Ying Yang, Shiyun Xu:
Fuzzy model based fault detection for nonlinear NCS with packet dropout. ICCA 2010: 2189-2194
2000 – 2009
Coauthor Index
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last updated on 2024-10-08 21:29 CEST by the dblp team
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