国際会議発表 (査読有り)

• Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang. DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), Dec. 2025.
• Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura. Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity, The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), Aug. 2025.
• Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura. Community-Invariant Graph Contrastive Learning, Forty-first International Conference on Machine Learning (ICML2024), July 2025.
• Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura. A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization, The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), July 2025.
• Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang. DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs, The 1st International Workshop on Spatio-Temporal Data Mining from the Web (WebST-25), Apr. 2025.
• Dongyuan Li, Ying Zhang, Zhen Wang, Shiyin Tan, Satoshi Kosugi, Manabu Okumura. Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Nov. 2024.
• Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura. Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction, the CIKM 2023, Oct. 2023.

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