Canlin Zhang

17 papers B 5Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Boosting Scalability and Performance: Macro Placement for Flexible 3D-Stacked ML Accelerators.
ASP-DAC
Jiawei Hu, Canlin Zhang, Pruek Vanna-Iampikul, Tushar Krishna, Sung Kyu Lim
2025 J jnl
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory.
CoRR
Canlin Zhang, Xiuwen Liu
2024 B conf
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks.
IJCNN
Canlin Zhang, Xiuwen Liu
2024 J jnl
Learning Regularities from Data using Spiking Functions: A Theory.
CoRR
Canlin Zhang, Xiuwen Liu
2023 J jnl
Computer-aided digital media art creation based on artificial intelligence.
Neural Comput. Appl.
Bozuo Zhao, Danping Zhan, Canlin Zhang, Meng Su
2023 J jnl
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks.
CoRR
Canlin Zhang, Xiuwen Liu
2022 B conf
Dense Embeddings Preserving the Semantic Relationships in WordNet.
IJCNN
Canlin Zhang, Xiuwen Liu
2022 B conf
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery.
IJCNN
Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza
2021 J jnl
Key Algorithms for Segmentation of Copperplate Printing Image Based on Deep Learning.
Mob. Inf. Syst.
Ye Zhang, Qiu Xie, Canlin Zhang
2020 J jnl
An Analysis on the Learning Rules of the Skip-Gram Model.
CoRR
Canlin Zhang, Xiuwen Liu, Daniel Bis
2020 J jnl
Preserving the Hypernym Tree of WordNet in Dense Embeddings.
CoRR
Canlin Zhang, Xiuwen Liu
2020 J jnl
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules.
CoRR
Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu
2020 B conf
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks.
IJCNN
Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio
2019 B conf
An Analysis on the Learning Rules of the Skip-Gram Model.
IJCNN
Canlin Zhang, Xiuwen Liu, Daniel Bis
2019 J jnl
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.
BMC Bioinform.
Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He
2019 J jnl
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks.
CoRR
Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio
2018 — conf
Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation.
BIBM
Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski