Lingyun Yao

According to our database, Lingyun Yao authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

LogSumExp: Efficient Approximate Logarithm Acceleration for Embedded Tractable Probabilistic Reasoning.

Lingyun Yao, Shirui Zhao, Martin Trapp, Jelin Leslin, Marian Verhelst, Martin Andraud

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2026

EinChip: A 4.6/1.5 TOPS/W 6/24b Log-compute Einsum-based Accelerator for Neuro Symbolic AI.

Lingyun Yao, Shirui Zhao, Marian Verhelst, Martin Andraud

Proceedings of the IEEE Custom Integrated Circuits Conference, 2026

2025

Unravelling urban carbon dynamics: a multi-source data study on Nanchang city's carbon dioxide emissions.

Lingyun Yao, Li Wang, Ke Wang, Zheng Niu

Int. J. Digit. Earth, December, 2025

MC²A: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration.

Shirui Zhao, Jun Yin, Lingyun Yao, Martin Andraud, Wannes Meert, Marian Verhelst

CoRR, July, 2025

2024

On Hardware-efficient Inference in Probabilistic Circuits.

Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud

Proceedings of the Uncertainty in Artificial Intelligence, 2024

AutoPC: An Open-Source Framework for Efficient Probabilistic Reasoning on FPGA Hardware.

Karthekeyan Periasamy, Jelin Leslin, Aleksi Korsman, Lingyun Yao, Martin Andraud

Proceedings of the 22nd IEEE Interregional NEWCAS Conference, 2024

2023

Bifurcation Mechanism for Fractional-Order Three-Triangle Multi-delayed Neural Networks.

Changjin Xu, Zixin Liu, Peiluan Li, Jinling Yan, Lingyun Yao

Neural Process. Lett., October, 2023

2022

Probing into bifurcation for fractional-order BAM neural networks concerning multiple time delays.

Changjin Xu, Dan Mu, Yuanlu Pan, Chaouki Aouiti, Yicheng Pang, Lingyun Yao

J. Comput. Sci., 2022

Delay-induced periodic oscillation for fractional-order neural networks with mixed delays.

Changjin Xu, Wei Zhang, Zixin Liu, Lingyun Yao

Neurocomputing, 2022

Theoretical analysis and computer simulations of a fractional order bank data model incorporating two unequal time delays.

Changjin Xu, Zixin Liu, Maoxin Liao, Lingyun Yao

Expert Syst. Appl., 2022

Bifurcation Study for Fractional-Order Three-Layer Neural Networks Involving Four Time Delays.

Changjin Xu, Wei Zhang, Zixin Liu, Peiluan Li, Lingyun Yao

Cogn. Comput., 2022

A Hardware Perspective to Evaluating Probabilistic Circuits.

Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Further exploration on bifurcation of fractional-order six-neuron bi-directional associative memory neural networks with multi-delays.

Changjin Xu, Zixin Liu, Lingyun Yao, Chaouki Aouiti

Appl. Math. Comput., 2021

2018

Research on the Construction of the Hierarchical Classification Model of the Urban Intelligent Lighting Appliance (UILA) Based on User Needs.

Junnan Ye, Jianxin Cheng, Chaoxiang Yang, Zhang Zhang, Xinyu Yang, Lingyun Yao

Proceedings of the Intelligent Human Systems Integration, 2018

Study on Innovative Design of Urban Intelligent Lighting Appliance (UILA) Based on Kansei Engineering.

Jianxin Cheng, Junnan Ye, Chaoxiang Yang, Lingyun Yao, Zhenzhen Ma, Tengye Li

Proceedings of the Distributed, Ambient and Pervasive Interactions: Understanding Humans, 2018