Short Biography: Xiang Li received the B.S. degree in Software Engineering from Shandong University, China, in 2022. He is currently pursuing the M.S. degree with the Graduate School of Information Science and Technology at Hokkaido University. His research interests include Counterfactual Image Generation. He is a student member of IEEE.
E-mail: xiang_li[at]lmd.ist.hokudai.ac.jp
Biography
- 2023/10 ~ 2025/09 Hokkaido University, M.S. in Information Science
- 2023/04 ~ 2023/09 Hokkaido University, Research Student
- 2018/09 ~ 2022/06 Shandong University, B.S. in Software Engineering
Publication
International Conference
- Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Reinforcing pre-trained models using counterfactual images,” IEEE International Conference on Image Processing (ICIP), pp. 486-492, 2024. [Paper]
- Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Improving visual counterfactual explanation models for image classification via CLIP,” IEEE Global Conference on Consumer Electronics (GCCE), pp. 390-391, 2023. [Paper]
Domestic Conference
- Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Strategic classification model reinforcement: Introducing language-guided counterfactual images to identify and address classification weaknesses,” Meeting on Image Recognition and Understanding (MIRU), pp. 1-5, 2024.
- 李 想, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀, “視覚反実仮想機械学習モデルにおける精度向上に関する一検討 – 特徴抽出モデルが精度に与える影響の検証 –,” 令和5年度 電気・情報関係学会北海道支部連合大会, pp. 1-2, 2023.