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Shao-Qun Zhang
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2020 – today
- 2024
- [j8]Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou:
On the Intrinsic Structures of Spiking Neural Networks. J. Mach. Learn. Res. 25: 194:1-194:74 (2024) - [j7]Shao-Qun Zhang, Fei Wang, Feng-Lei Fan:
Neural Network Gaussian Processes by Increasing Depth. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2881-2886 (2024) - [j6]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3674-3688 (2024) - [c7]Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang:
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. AAAI 2024: 11078-11086 - [i11]Shao-Qun Zhang, Zong-Yi Chen, Yong-Ming Tian, Xun Lu:
A Unified Kernel for Neural Network Learning. CoRR abs/2403.17467 (2024) - [i10]Qi-Jie Li, Qian Sun, Shao-Qun Zhang:
Horizon-wise Learning Paradigm Promotes Gene Splicing Identification. CoRR abs/2406.11900 (2024) - 2023
- [j5]Gao Zhang, Shao-Qun Zhang:
On Discrete Presheaf Monads. Axioms 12(6): 610 (2023) - [j4]Gao Zhang, Shao-Qun Zhang:
Lax Extensions of Conical I-Semifilter Monads. Axioms 12(11): 1034 (2023) - [c6]Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS 2023: 7824-7848 - [c5]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS 2023 - 2022
- [j3]Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou:
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151: 80-93 (2022) - [c4]Cheng-En Yu, Chao Wang, Shao-Qun Zhang:
Fault-Tolerant Energy-Efficient LoRaWAN Networking Architecture. MECO 2022: 1-4 - [c3]Shao-Qun Zhang, Zhi-Hua Zhou:
Theoretically Provable Spiking Neural Networks. NeurIPS 2022 - [i9]Gao Zhang, Shao-Qun Zhang:
Structural Stability of Spiking Neural Networks. CoRR abs/2207.04876 (2022) - [i8]Gao Zhang, Jin-Hui Wu, Shao-Qun Zhang:
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions. CoRR abs/2210.15279 (2022) - 2021
- [j2]Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. J. Mach. Learn. Res. 22: 253:1-253:21 (2021) - [j1]Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. Neural Comput. 33(11): 2951-2970 (2021) - [c2]Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM 2021: 1511-1516 - [i7]Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou:
Towards Understanding Theoretical Advantages of Complex-Reaction Networks. CoRR abs/2108.06711 (2021) - [i6]Shao-Qun Zhang, Feng-Lei Fan:
Neural Network Gaussian Processes by Increasing Depth. CoRR abs/2108.12862 (2021) - [i5]Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. CoRR abs/2109.14844 (2021) - [i4]Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR abs/2111.06027 (2021) - [i3]Shao-Qun Zhang, Zhi-Hua Zhou:
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions. CoRR abs/2111.06222 (2021) - 2020
- [c1]Shao-Qun Zhang, Zhi-Hua Zhou:
Harmonic Recurrent Process for Time Series Forecasting. ECAI 2020: 1714-1721 - [i2]Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. CoRR abs/2004.03839 (2020)
2010 – 2019
- 2019
- [i1]Shao-Qun Zhang, Zhi-Hua Zhou:
Bifurcation Spiking Neural Network. CoRR abs/1909.08341 (2019)
Coauthor Index
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