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. Okumura Manabu and Prof. Funakoshi Kotaro. My research interests lie in Machine Learning, Social Network Analysis and Natural Language Generation.

My favoriate words:

Do not worry about your problems with mathematics, I assure you mine are far greater. — From Albert Einstein

🔥 News 2024

  • 2024.5.1：  🎉🎉 Congratulations to all collaborators!!  🎉🎉 Our one paper has been Accepted by 41st International Conference on Machine Learning (ICML 2024).
  • 2024.4.23：  🎉🎉 Congratulations to all collaborators!!  🎉🎉 Our one paper has been Accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
  • 2024.4.23：  🎉🎉 Congratulations to all collaborators!!  🎉🎉 Our one paper has been Accepted by Journal of Natural Language Processing (JNLP).
  • 2023.12.14:  🎉🎉 Congratulations to all collaborators!!  🎉🎉 Our two paper has been Accepted by 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2024).
  • 2023.11.18:  🎉🎉 Congratulations!!  🎉🎉 Our paper has been Accepted by 30th International Conference on Multimedia Modeling. Towards Cross-modal Point Cloud Retrieval for Indoor Scenes. Fuyang Yu, Zhen Wang, Dongyuan Li, Peide Zhu, Xiaochuan Wang, Xiaohui Liang, Manabu Okumura. (MMM 2024)

📝 Selected Publications （* denotes Equal Contribution and # denotes Corresponding Author）

  • [IEEE TNNLS 2024] A Survey on Deep Active Learning: Recent Advances and New Frontiers. Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding and Manabu Okumura. IEEE Transactions on Neural Networks and Learning Systems, IEEE-TNNLS. [Paper], [Code].

  • [JNLP 2023] Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition. Dongyuan Li, Ying Zhang, Yusong Wang, Kataro Funakoshi and Manabu Okumura. Journal of Natural Language Processing 2024. [Paper], [Code].

  • [ICASSP 2024] Multimodal Graph-Based Audio-Visual Event Localization. Zhen Wang*, Dongyuan Li*, Manabu Okumura. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [Paper].

  • [ICASSP 2024] Inter-Modality and Intra-Sample Alignment for Multi-Modal Emotion Recognition. Yusong Wang*, Dongyuan Li*#, Jialun Shen. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [Paper].

  • [ASRU 2023] Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition. Dongyuan Li, Yusong Wang, Kataro Funakoshi and Manabu Okumura. IEEE Workshop on Automatic Speech Recognition and Understanding 2023. [Paper], [Code].

  • [EMNLP 2023] Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition. Dongyuan Li, Yusong Wang, Kataro Funakoshi and Manabu Okumura. The 2023 Conference on Empirical Methods in Natural Language Processing. [Paper], [Code].

  • [CIKM 2023] Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction.Dongyuan Li, Shiyin Tan, Yusong Wang, Kataro Funakoshi and Manabu Okumura. 32nd ACM International Conference on Information and Knowledge Management. [Paper], [Code].

  • [JNLP 2023] Plug-and-Play Attribute-Aware Text Infilling via A New Attention Mechanism and Two-Level Positional Encoding. Dongyuan Li, Kataro Funakoshi and Manabu Okumura. Journal of Natural Language Processing 2023. [Paper].

  • [ICMR 2023]. EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition. Yusong Wang, Dongyuan Li#, Kataro Funakoshi and Manabu Okumura. ACM International Conference on Multimedia Retrieval 2023. [Paper], [Code].

  • [JSAI 2023] Emotion-guided Multi-modal Fusion for Personality Traits Recognition. Yusong Wang, Dongyuan Li, Jialun Shen, Kataro Funakoshi and Manabu Okumura. The Japanese Society for Artificial Intelligence 2023. [paper]; [code].

  • [CIKM 2022] Temporality-and Frequency-aware Graph Contrastive Learning for Temporal Network. Shiyin Tan, Dongyuan Li#. ACM International Conference on Information & Knowledge Management 2022. [paper]; [code].

  • [COLING 2022] JPG-Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation. Jingyi You, Dongyuan Li#, Manabu Okumura, Kenji Suzuki.Proceedings of the 29th International Conference on Computational Linguistics. [paper].

  • [COLING 2022] A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model. Dongyuan Li, Jingyi You, Kotaro Funakoshi, Manabu Okumura.Proceedings of the 29th International Conference on Computational Linguistics, Oral Presentation. [paper].

  • [NAACL 2022] Joint learning-based heterogeneous graph attention network for timeline summarization. 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. [paper].

  • [IEEE CYB 2023] Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. Dongyuan Li, Xiaoke Ma, Maoguo Gong. IEEE Transactions on Cybernetics,2022. [paper]; [code].

  • [KBS 2022] Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma. Knowledge-Based Systems, pp. 106961, 2021. [paper];[code].

  • [Neurocomputing 2022] Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization. Dongyuan Li, Qiang Lin, Xiaoke Ma, pp. 77-90, 2021. [paper]; [code].

  • [IEEE TCBB 2022] Dynamic module detection in temporal attributed networks of cancers.Dongyuan Li, Shuyao Zhang, Xiaoke Ma. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.19, no.4, pp.2219-2230, 2021. [paper]; [code].

  • [BIBM 2021] Nonnegative matrix factorization for dynamic modules in cancer attribute temporal networks. Dongyuan Li, Xiaoke Ma. 2019 IEEE International Conference on Bioinformatics and Biomedicine, Oral Presentation. pp. 202-206, 2019. [paper]; [code].

📖 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.

💬 Invited Talks

  • 2023.04.13:  🎉🎉 I was invited by Prof. Okumura Manabu to have a talk for Prof.Simone Teufel and Prof. Olesya Razuvayevskaya.
  • 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.

🎖 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.

📄 Academic Services

  • PC Members for CIKM 2024, DASSFA 2024, IJCAI 2024, ACM MM 2024, ACL 2024.
  • Reviewer for Conferences: ICLR 2024, ACL 2022, NAACL 2022, IJCNN 2022, ICASSP 2023, ARR Openreview 2023.
  • Reviewer for Journal: IEEE CYB, IEEE TNNLS, IEEE Fuzzy System, IEEE TAFFC, IEEE Trans Multimedia, IEEE TETCI, Knowledge-based Systems, Scientific Reports, Computer Communications, ACM TKDD, CVIU, etc.

Flag Counter