| 2026 | AAAI | MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning. | Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari |
| 2025 | AAAI | Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model. | Zhen Wang, Yaozu Wu, Dongyuan Li, Shiyin Tan, Zhishuai Yin |
| 2025 | ICML | Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance. | Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu |
| 2025 | KDD | Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity. | Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura |
| 2025 | SIGIR | A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization. | Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura |
| 2024 | EMNLP | 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 |
| 2024 | ICML | Community-Invariant Graph Contrastive Learning. | Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura |
| 2023 | CIKM | Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. | Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura |
| 2022 | CIKM | Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. | Shiyin Tan, Jingyi You, Dongyuan Li |