Dongyuan Li

Dongyuan Li

lidy94805[at]gmail.com

Hello, I am Dongyuan Li (李东远). I am a second year Ph.D. student in the Okumura-Funakoshi Lab, Department of Information and Communication Engineering at Tokyo Institute of Technology, advised by Prof. Funakoshi Kotaro and Prof. Okumura Manabu. My research interests lie in Machine Learning, Social Network Analysis and Natural Language Generation.

πŸ”₯ News

  • 2023.04.13: Β πŸŽ‰πŸŽ‰ I was invited by Prof. Okumura Manabu to have a talk for Prof.Simone Teufel and Prof. Olesya Razuvayevskaya.
  • 2023.04.02: Congratulations!! Β πŸŽ‰πŸŽ‰ Our paper has been Accepted by the ACM International Conference on Multimedia Retrieval in 2023. EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition. Yusong Wang, Dongyuan Li, Kataro Funakoshi and Manabu Okumura. (ICMR 2023).
  • 2023.03.24: Congratulations!! Β πŸŽ‰πŸŽ‰ Our paper has been Accepted by the Japanese Society for Artificial Intelligence in 2023. Emotion-guided Multi-modal Fusion for Personality Traits Recognition. Yusong Wang, Dongyuan Li, Jialun Shen, Kataro Funakoshi and Manabu Okumura. (JSAI 2023).
  • 2022.10.25: Β πŸŽ‰πŸŽ‰ I was invited by Prof. Hiroya Takamura to have a talk for AIST.

πŸ“ Selected Publications

  • Temporality-and Frequency-aware Graph Contrastive Learning for Temporal Network. [paper]; [code]. Shiyin Tan, Dongyuan Li. ACM International Conference on Information & Knowledge Management 2022. (CIKM 2022).
  • JPG-Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation. [paper]. Jingyi You, Dongyuan Li, Manabu Okumura, Kenji Suzuki.Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022).
  • A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model. [paper]. Dongyuan Li, Jingyi You, Kotaro Funakoshi, Manabu Okumura.Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), Oral Presentation.
  • Joint learning-based heterogeneous graph attention network for timeline summarization. [paper]. Jingyi You, Dongyuan Li, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.(NAACL 2022).
  • Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. [paper]; [code]. Dongyuan Li, Xiaoke Ma, Maoguo Gong. IEEE Transactions on Cybernetics. (IEEE CYB), 2022.
  • Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. [paper]. Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma. Knowledge-Based Systems. (KBS), pp. 106961, 2021.
  • Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization. [paper]; [code]. Dongyuan Li, Qiang Lin, Xiaoke Ma. Neurocomputing, pp. 77-90, 2021.
  • Dynamic module detection in temporal attributed networks of cancers.[paper]; [code].Dongyuan Li, Shuyao Zhang, Xiaoke Ma. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (IEEE TCBB), vol.19, no.4, pp.2219-2230, 2021.
  • Nonnegative matrix factorization for dynamic modules in cancer attribute temporal networks. [paper]; [code]. Dongyuan Li, Xiaoke Ma. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Oral Presentation. pp. 202-206, 2019.

πŸ“– Educations

  • 2021.09 - (now), doctoral student in the Department of Information and Communications Engineering of Tokyo Institute of Technology, advised by Prof. Funakoshi Kotaro and Prof. Okumura Manabu.
  • 2018.09 - 2021.10, master student in the Department of Computer Science and Technology of Xidian University, advised by Prof. Xiaoke Ma.
  • 2013.09 - 2018.06, undergraduate student in the Department of Computer Science and Technology of Dalian University of Technology(DUT), advised by Prof. Nan Ding and Nianmin Yao.

πŸ’¬ Invited Talks

  • 2022.10.25, I was invited by Prof. Hiroya Takamura to have a talk for AIST about Text Generation.
  • 2021.05.10, I was invited by Prof. Xianghua Xie to have a talk for SwanseaVIsion about Dynamic Graph Clustering.

πŸŽ– Honors and Awards

  • TSUBAME Scholarship, Tokyo Institute of Technology, 2021-2024.
  • Chinese Scholarship Council (CSC) 2021-2024.
  • Outstanding master degree graduates of Shaanxi Province.
  • National Scholarship of China 2019-2021.
  • First class social scholarship of Xiaomi 2020-2021.
  • National Science Foundation Graduate Fellowship (CASC), 2019-2020.

πŸ“„ Academic Services

  • Reviewer for Conferences: ACL 2022, NAACL 2022, IJCNN 2022, IEEE CEC 2023.
  • Reviewer for Journal: IEEE CYB, IEEE TNNLS, Knowledge-based Systems, Scientific Reports, Computer Communications, ACM TKDD, Computer Vision and Image Understanding.

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