ZIWEN LAN Ziwen Lan

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  • Ziwen Lan

Short Biography: Ziwen Lan received the B.S. degree in Information Science from the University of Science and Technology of China, in 2020, and the M.S. degree in Information Science from Hokkaido University, Japan, in 2023. He is currently pursuing the Ph.D. degree with the Graduate School of Information Science and Technology at Hokkaido University. His research interests include multi-label classification and semantic understanding in virtual space. He is a student member of IEEE.

E-mail: lan[at]lmd.ist.hokudai.ac.jp

Biography Publication Fellowship and Awards

Biography

  • 2023/04 ~ Present Hokkaido University, Ph.D. in Information Science
  • 2021/04 ~ 2023/03 Hokkaido University, M.S. in Information Science
  • 2020/10 ~ 2021/03 Hokkaido University, Research Student
  • 2016/09 ~ 2020/06 University of Science and Technology of China, B.S in Information Science

 

Publication

Journal

  1. Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships,” Sensors, vol. 23, no. 10, 4798, 2023. [Paper]
  2. Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Hierarchical Multi-Label Attribute Classification with Graph Convolutional Networks on Anime Illustration,” IEEE Access, vol. 11, pp. 35447-35456, 2023. [Paper]

International Conference

  1. Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features,” IEEE International Conference on Image Processing (ICIP), pp. 2021-2025, Bordeaux, France, 2022. [Paper]
  2. Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features,” IEEE Global Conference on Consumer Electronics (GCCE), pp. 273-274, Kyoto, Japan, 2021. [Paper]

Domestic Conference

  1. 蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀, “属性情報の階層関係を考慮したアニメイラストのマルチラベル分類に関する検討,” 映像情報メディア学会技術報告, vol. 47, no. 6, pp. 5-9, 札幌, 2023.
  2. 蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀, “Captioning特徴を利用したグラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像分類に関する検討,” 映像情報メディア学会技術報告, vol. 46, no. 6, pp. 161-165, 札幌, 2022.
  3. 蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀, “グラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像認識に関する検討,” 令和3年度電気・情報関係学会北海道支部連合大会, 札幌, 2021.

 

Fellowship and Awards

  1. Hokkaido University Ambitious Doctoral Fellowship (2023/04 ~ 2026/03) [Link]
  2. IEEE GCCE 2021 Excellent Paper Award Outstanding Prize (2021/10)