Canlin Zhang

According to our database, Canlin Zhang authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Boosting Scalability and Performance: Macro Placement for Flexible 3D-Stacked ML Accelerators.

Jiawei Hu, Canlin Zhang, Pruek Vanna-Iampikul, Tushar Krishna, Sung Kyu Lim

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Minimum Description Length of a Spectrum Variational Autoencoder: A Theory.

Canlin Zhang, Xiuwen Liu

CoRR, April, 2025

2024

Learning Regularities from Data using Spiking Functions: A Theory.

Canlin Zhang, Xiuwen Liu

CoRR, 2024

Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks.

Canlin Zhang, Xiuwen Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Computer-aided digital media art creation based on artificial intelligence.

Bozuo Zhao, Danping Zhan, Canlin Zhang, Meng Su

Neural Comput. Appl., December, 2023

2022

Dense Embeddings Preserving the Semantic Relationships in WordNet.

Canlin Zhang, Xiuwen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery.

Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Key Algorithms for Segmentation of Copperplate Printing Image Based on Deep Learning.

Ye Zhang, Qiu Xie, Canlin Zhang

Mob. Inf. Syst., 2021

2020

Theoretical Knowledge Graph Reasoning via Ending Anchored Rules.

Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu

CoRR, 2020

Preserving the Hypernym Tree of WordNet in Dense Embeddings.

Canlin Zhang, Xiuwen Liu

CoRR, 2020

Towards Quantifying Intrinsic Generalization of Deep ReLU Networks.

Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.

Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He

BMC Bioinform., 2019

An Analysis on the Learning Rules of the Skip-Gram Model.

Canlin Zhang, Xiuwen Liu, Daniel Bis

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation.

Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018