Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. - Daniel Bis; Canlin Zhang; Xiuwen Liu; Zhe He 001 (BIBM, 2018)

An Analysis on the Learning Rules of the Skip-Gram Model. - Canlin Zhang; Xiuwen Liu; Daniel Bis (IJCNN, 2019)

Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. - Canlin Zhang; Daniel Bis; Xiuwen Liu; Zhe He 001 (BMC Bioinform., 2019)

Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. - Shaeke Salman; Canlin Zhang; Xiuwen Liu; Washington Mio (IJCNN, 2020)

Preserving the Hypernym Tree of WordNet in Dense Embeddings. - Canlin Zhang; Xiuwen Liu (CoRR, 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)

Key Algorithms for Segmentation of Copperplate Printing Image Based on Deep Learning. - Ye Zhang; Qiu Xie; Canlin Zhang (Mob. Inf. Syst., 2021)

Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. - Canlin Zhang; Chun-Nan Hsu; Yannis Katsis; Ho-Cheol Kim; Yoshiki Vazquez-Baeza (IJCNN, 2022)

Dense Embeddings Preserving the Semantic Relationships in WordNet. - Canlin Zhang; Xiuwen Liu (IJCNN, 2022)

Computer-aided digital media art creation based on artificial intelligence. - Bozuo Zhao; Danping Zhan; Canlin Zhang; Meng Su (Neural Comput. Appl., 2023)

Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. - Canlin Zhang; Xiuwen Liu (IJCNN, 2024)

Learning Regularities from Data using Spiking Functions: A Theory. - Canlin Zhang; Xiuwen Liu (CoRR, 2024)

Minimum Description Length of a Spectrum Variational Autoencoder: A Theory. - Canlin Zhang; Xiuwen Liu (CoRR, 2025)