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Shao-Qun Zhang

Orcid: 0000-0002-0614-8984

According to our database¹, Shao-Qun Zhang authored at least 32 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Rethinking Cross-Layer Information Routing in Diffusion Transformers.

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CoRR, May, 2026

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation.

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Xiang-Sheng Deng

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CoRR, May, 2026

Generalization Bounds of Spiking Neural Networks via Rademacher Complexity.

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CoRR, May, 2026

Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent.

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J. Mach. Learn. Res., 2026

On the Impact of Weight Quantization on Deep Neural Network Uncertainty.

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Ming-Liang Wang

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels.

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CoRR, November, 2025

TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge.

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Liang-Jie Zhang

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CoRR, October, 2025

Theoretical Investigation on Inductive Bias of Isolation Forest.

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Qin-Cheng Zheng

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CoRR, May, 2025

2024

Theoretical Exploration of Flexible Transmitter Model.

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

Neural Network Gaussian Processes by Increasing Depth.

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

On the Intrinsic Structures of Spiking Neural Networks.

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J. Mach. Learn. Res., 2024

Horizon-wise Learning Paradigm Promotes Gene Splicing Identification.

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CoRR, 2024

A Unified Kernel for Neural Network Learning.

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CoRR, 2024

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

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

2023

Lax Extensions of Conical I-Semifilter Monads.

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Axioms, November, 2023

On Discrete Presheaf Monads.

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Axioms, June, 2023

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

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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.

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Qin-Cheng Zheng

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

2022

Towards understanding theoretical advantages of complex-reaction networks.

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Neural Networks, 2022

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

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CoRR, 2022

Structural Stability of Spiking Neural Networks.

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CoRR, 2022

Theoretically Provable Spiking Neural Networks.

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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.

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

2021

Flexible Transmitter Network.

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Neural Comput., 2021

Bifurcation Spiking Neural Network.

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J. Mach. Learn. Res., 2021

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

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CoRR, 2021

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

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CoRR, 2021

Neural Network Gaussian Processes by Increasing Depth.

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CoRR, 2021

Towards Understanding Theoretical Advantages of Complex-Reaction Networks.

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CoRR, 2021

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

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Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Harmonic Recurrent Process for Time Series Forecasting.

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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.

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CoRR, 2019

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