| LCS graph kernel based on Wasserstein distance in longest common subsequence metric space J Huang, Z Fang, H Kasai Signal Processing 189, 108281, 2021 | 25 | 2021 |
| Micro-expression recognition based on spatiotemporal Gabor filters C Lin, F Long, JM Huang, J Li 2018 Eighth International Conference on Information Science and Technology …, 2018 | 8 | 2018 |
| Micro-expression recognition based on optical flow and pcanet+ S Wang, S Guan, H Lin, J Huang, F Long, J Yao Sensors 22 (11), 4296, 2022 | 6 | 2022 |
| Graph embedding using multi-layer adjacent point merging model J Huang, H Kasai ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Micro-expression recognition using optical flow and local binary patterns on three orthogonal planes T Chang, F Long, J Huang Proceedings of the Seventh International Symposium of Chinese CHI, 44-48, 2019 | 5 | 2019 |
| Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees Z Fang, J Huang, X Su, H Kasai Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7539-7549, 2023 | 3 | 2023 |
| Key Vertex Pairs Extraction for Graph Classification Based on Probability Distribution Learning J Huang, H Kasai 2024 International Conference on Artificial Intelligence in Information and …, 2024 | | 2024 |
| Anchor Space Optimal Transport: Accelerating Batch Processing of Multiple OT Problems J Huang, X Su, Z Fang, H Kasai arXiv preprint arXiv:2310.16123, 2023 | | 2023 |
| Basis Optimal Transport with GPU-parallelizable Sinkhorn's Solver for Size-variable Distributions J Huang, H Kasai IEICE Conferences Archives, 2023 | | 2023 |
| Learning Graph Neural Networks with Key Subgraphs using Explanation Confidence K Inoue, J Huang, Z Fang, H Kasai 人工知能学会全国大会論文集 第 37 回 (2023), 2U1IS1b03-2U1IS1b03, 2023 | | 2023 |
| Common Subgraph Extraction based on Link Prediction J HUANG, H KASAI 人工知能学会全国大会論文集 第 36 回 (2022), 4S1IS2f04-4S1IS2f04, 2022 | | 2022 |
| A Novel Distance between Graph Structures Based on the Weisfeiler-Lehman Algorithm Z Fang, J Huang, H Kasai 人工知能学会全国大会論文集 第 36 回 (2022), 4S1IS2f03-4S1IS2f03, 2022 | | 2022 |
| A Probability Distribution Learning Method for Extracting Key Vertex Pairs in Graph Classification Tasks J Huang, Z Fang, H Kasai 映像情報メディア学会技術報告= ITE technical report 45 (35), 61-64, 2021 | | 2021 |
| 放送技術 J Huang, Z Fang, H Kasai 映像情報メディア学会技術報告= ITE technical report 45 (35), 61-64, 2021 | | 2021 |
| Wasserstein Weisfeiler-Lehman Subtree Distance for Graph-Structured Data Z Fang, J Huang, H Kasai | | 2021 |
| A study on graph embedding using multi-layer adjacent point merging J Huang, H Kasai IEICE Conferences Archives, 2021 | | 2021 |
| Graph Key Feature Extraction based on Bag of Features Model and Adjacent Point Pattern J HUANG, Z FANG, H KASAI 人工知能学会全国大会論文集 第 35 回 (2021), 2N3IS2b03-2N3IS2b03, 2021 | | 2021 |
| A Wasserstein Graph Kernel based on Substructure Isomorphism Problem of Shortest Paths J Huang, Z Fang, H Kasai 映像情報メディア学会技術報告= ITE technical report 44 (30), 25-28, 2020 | | 2020 |
