Shao-Qun Zhang

According to our database, Shao-Qun Zhang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Theoretical Exploration of Flexible Transmitter Model.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Neural Network Gaussian Processes by Increasing Depth.

Shao-Qun Zhang, Fei Wang, Feng-Lei Fan

IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Unified Kernel for Neural Network Learning.

Shao-Qun Zhang, Zong-Yi Chen, Yong-Ming Tian, Xun Lu

CoRR, 2024

MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information.

Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lax Extensions of Conical I-Semifilter Monads.

Gao Zhang, Shao-Qun Zhang

Axioms, November, 2023

On Discrete Presheaf Monads.

Gao Zhang, Shao-Qun Zhang

Axioms, June, 2023

Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Consistency Rate of Decision Tree Learning Algorithms.

Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Towards understanding theoretical advantages of complex-reaction networks.

Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou

Neural Networks, 2022

On the Approximation and Complexity of Deep Neural Networks to Invariant Functions.

Gao Zhang, Jin-Hui Wu, Shao-Qun Zhang

CoRR, 2022

Structural Stability of Spiking Neural Networks.

Gao Zhang, Shao-Qun Zhang

CoRR, 2022

Theoretically Provable Spiking Neural Networks.

Shao-Qun Zhang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fault-Tolerant Energy-Efficient LoRaWAN Networking Architecture.

Cheng-En Yu, Chao Wang, Shao-Qun Zhang

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

2021

Flexible Transmitter Network.

Shao-Qun Zhang, Zhi-Hua Zhou

Neural Comput., 2021

Bifurcation Spiking Neural Network.

Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2021

ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions.

Shao-Qun Zhang, Zhi-Hua Zhou

CoRR, 2021

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima.

Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

CoRR, 2021

Neural Network Gaussian Processes by Increasing Depth.

Shao-Qun Zhang, Feng-Lei Fan

CoRR, 2021

Towards Understanding Theoretical Advantages of Complex-Reaction Networks.

Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou

CoRR, 2021

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values.

Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Harmonic Recurrent Process for Time Series Forecasting.

Shao-Qun Zhang, Zhi-Hua Zhou

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Bifurcation Spiking Neural Network.

Shao-Qun Zhang, Zhi-Hua Zhou

CoRR, 2019