Dongyuan Li

Dongyuan Li

lidy94805[at]gmail.com

Hello, I am Dongyuan Li (李东远). I am currently an Assistant Professor in The University of Tokyo, advised by Prof. Renhe Jiang. And I am also a Research Fellow in Science Tokyo. I have obtained my Ph.D in the Okumura-Funakoshi Lab, Department of Information and Communication Engineering at Tokyo Institute of Technology, advised by Prof. Satoshi Kosugi, Prof. Funakoshi Kotaro and Prof. Okumura Manabu. My research interests lie in Machine Learning, Social Network Analysis and Natural Language Generation.

致力于：做点有用有趣的小玩意儿

🔥 News

[2025.04.15]  🎉🎉 One paper has been Accepted by SIGIR-2025.
[2025.03.15]  🎉🎉 One paper has been Accepted by KBS-2025.
[2025.01.25]  🎉🎉 One paper has been Accepted by ICLR-2025.
[2025.01.25]  🎉🎉 One paper has been Accepted by The Web Conference 2025.
[2024.12.10]  🎉🎉 Two co-authoer papers have been Accepted by AAAI-2025.
[2024.12.09]  🎉🎉 Our paper LPLS has obtained the Best Paper Award of PACLIC-2024.
[2024.09.22]  🎉🎉 Two paper have been Accepted by EMNLP-2024.
[2024.07.16]  🎉🎉 One paper has been Accepted by ACM International Conference on MULTIMEDIA (MM 2024).
[2024.05.01]  🎉🎉 One paper has been Accepted by 41st International Conference on Machine Learning (ICML 2024).
[2024.04.23]  🎉🎉 One paper has been Accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
[2024.04.23]  🎉🎉 One paper has been Accepted by Journal of Natural Language Processing (JNLP).

📝 Selected Publications

（* denotes Equal Contribution and # denotes Corresponding Author）

  • [Preprint] [Arxiv] DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang.
  • [Preprint] [Arxiv] Reconsidering Token Embeddings with the Definitions for Pre-trained Language Models. Ying Zhang, Dongyuan Li, Mamabu Okumura.
  • [PACLIC24] LPLS: A Selection Strategy Based on Pseudo-Labeling Status for Semi-Supervised Active Learning in Text Classification. Chun-Fang Chuang, Dongyuan Li, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura (Best Paper Award).
  • [EMNLP24] LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura.
  • [EMNLP24] Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization. Dongyuan Li, Ying Zhang, Zhen Wang, Shiyin Tan, Satoshi Kosugi, Manabu Okumura.
  • [PRICAI24] FINE-LMT: Fine-grained Feature Learning for Multi-Modal Machine Translation. Yusong Wang, Ying Zhang, Dongyuan Li#, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi and Manabu Okumura.
  • [MM24] [Arxiv] Multimodal Low-light Image Enhancement with Depth Information, ACM MM-2024. Zhen Wang*, Dongyuan Li*, Guang Li, Ziqing Zhang, Renhe Jiang.
  • [ICML24] [Arxiv] Community-Invariant Graph Contrastive Learning, International Conference on Machine Learning, ICML-2024. Shiyin Tan*, Dongyuan Li*, Renhe Jiang, Ying Zhang, Manabu Okumura.
  • [TNNLS24], 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. [Code].
  • [JNLP24] [Arxiv] 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.
  • [ICASSP24] Multimodal Graph-Based Audio-Visual Event Localization. Zhen Wang*, Dongyuan Li*, Manabu Okumura. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  • [ASRU23] 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.
  • [EMNLP23] Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition. Dongyuan Li, Yusong Wang, Kataro Funakoshi and Manabu Okumura. [Code].
  • [CIKM23] 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. [Code].
  • [JNLP23] Plug-and-Play Attribute-Aware Text Infilling via A New Attention Mechanism and Two-Level Positional Encoding. Dongyuan Li, Kataro Funakoshi and Manabu Okumura.
  • [ICMR23]. 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. [Code].
  • [JSAI23] 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. [code].
  • [CIKM22] Temporality-and Frequency-aware Graph Contrastive Learning for Temporal Network. Shiyin Tan, Dongyuan Li#. ACM International Conference on Information & Knowledge Management 2022. [code].
  • [COLING22] 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.
  • [COLING22] 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.
  • [NAACL22] 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.
  • [IEEE CYB23] Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. Dongyuan Li, Xiaoke Ma, Maoguo Gong. IEEE Transactions on Cybernetics,2022. [code].
  • [KBS22] 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. [code].
  • [Neurocomputing22] 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. [code].
  • [IEEE TCBB22] 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. [code].
  • [BIBM21] 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. [code].

📖 Educations

  • 2023.10 - 2024.09, visiting students in The University of Tokyo, advised by Prof.Renhe Jiang.
  • 2021.09 - 2024.09, doctoral student in the Department of Information and Communications Engineering of Tokyo Institute of Technology, advised by Prof. Satoshi Kosugi, 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.
  • 2014.09 - 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

  • Best Reviewer Awards in ARR-2023.
  • 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

  • ICML Program Committee Member 2025
  • NeurIPS Program Committee Member 2024
  • ICLR Program Committee Member 2024, 2025
  • ACL/EMNLP/NAACL Program Committee Member 2022, 2023, 2024, 2025
  • KDD Research Track Program Committee Member 2024, 2025
  • ICDE Program Committee Member 2025
  • SIGIR Program Committee Member 2025
  • IJCAI Program Committee Member 2023, 2024, 2025
  • CIKM Program Committee Member 2024
  • ACM MM Program Committee Member 2024
  • 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.

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