Shengyang Sun

According to our database, Shengyang Sun authored at least 27 papers between 2016 and 2023.

Collaborative distances:

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

2023

Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection.

Shengyang Sun, Xiaojin Gong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection.

Shengyang Sun, Xiaojin Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

In Situ Learning in Hardware Compatible Multilayer Memristive Spiking Neural Network.

Jiwei Li, Hui Xu, Shengyang Sun, Nan Li, Qingjiang Li, Zhiwei Li, Haijun Liu

IEEE Trans. Cogn. Dev. Syst., 2022

Information-theoretic Online Memory Selection for Continual Learning.

Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis K. Titsias

Proceedings of the Tenth International Conference on Learning Representations, 2022

Understanding the Variance Collapse of SVGD in High Dimensions.

Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Binary Memristive Synapse Based Vector Neural Network Architecture and Its Application.

Haijun Liu, Shengyang Sun, Jianjun Liu, Qingjiang Li, Jietao Diao, Zhiwei Li

IEEE Trans. Circuits Syst. II Express Briefs, 2021

In-situ learning in multilayer locally-connected memristive spiking neural network.

Jiwei Li, Hui Xu, Shengyang Sun, Zhiwei Li, Qingjiang Li, Haijun Liu, Nan Li

Neurocomputing, 2021

Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition.

Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse

Proceedings of the 38th International Conference on Machine Learning, 2021

Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?

Chaoqi Wang, Shengyang Sun, Roger B. Grosse

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Enhanced Spiking Neural Network with forgetting phenomenon based on electronic synaptic devices.

Jiwei Li, Hui Xu, Shengyang Sun, Sen Liu, Nan Li, Qingjiang Li, Haijun Liu, Zhiwei Li

Neurocomputing, 2020

2019

Quaternary synapses network for memristor-based spiking convolutional neural networks.

Shengyang Sun, Jiwei Li, Zhiwei Li, Husheng Liu, Haijun Liu, Qingjiang Li

IEICE Electron. Express, 2019

A memristor-based convolutional neural network with full parallelization architecture.

Shengyang Sun, Zhiwei Li, Jiwei Li, Husheng Liu, Haijun Liu, Qingjiang Li

IEICE Electron. Express, 2019

Cases Study of Inputs Split Based Calibration Method for RRAM Crossbar.

Shengyang Sun, Hui Xu, Jiwei Li, Zhiwei Li, Yi Sun, Qingjiang Li, Haijun Liu

IEEE Access, 2019

Cascaded Architecture for Memristor Crossbar Array Based Larger-Scale Neuromorphic Computing.

Shengyang Sun, Hui Xu, Jiwei Li, Qingjiang Li, Haijun Liu

IEEE Access, 2019

Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes.

Jun Yang, Shengyang Sun, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cascaded Neural Network for Memristor based Neuromorphic Computing.

Shengyang Sun, Hui Xu, Jiwei Li, Haijun Liu, Qingjiang Li

Proceedings of the International Joint Conference on Neural Networks, 2019

Functional variational Bayesian Neural Networks.

Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

Aggregated Momentum: Stability Through Passive Damping.

James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks.

Shengyang Sun, Jiwei Li, Zhiwei Li, Haijun Liu, Qingjiang Li, Hui Xu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Noisy Natural Gradient as Variational Inference.

Guodong Zhang, Shengyang Sun, David Duvenaud, Roger B. Grosse

Proceedings of the 35th International Conference on Machine Learning, 2018

Differentiable Compositional Kernel Learning for Gaussian Processes.

Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse

Proceedings of the 35th International Conference on Machine Learning, 2018

A Spectral Approach to Gradient Estimation for Implicit Distributions.

Jiaxin Shi, Shengyang Sun, Jun Zhu

Proceedings of the 35th International Conference on Machine Learning, 2018

Kernel Implicit Variational Inference.

Jiaxin Shi, Shengyang Sun, Jun Zhu

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

ZhuSuan: A Library for Bayesian Deep Learning.

Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

CoRR, 2017

Implicit Variational Inference with Kernel Density Ratio Fitting.

Jiaxin Shi, Shengyang Sun, Jun Zhu

CoRR, 2017

Learning Structured Weight Uncertainty in Bayesian Neural Networks.

Shengyang Sun, Changyou Chen, Lawrence Carin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs.

Jiayi Zhang, Linglong Dai, Shengyang Sun, Zhaocheng Wang

IEEE Commun. Lett., 2016