Shiyin Tan

According to our database, Shiyin Tan authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Biclique-Guided Graph Contrastive Learning for Recommendation.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Manabu Okumura

IEEE Access, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization.

Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs.

Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Video-based Transparent Object Segmentation via Temporal Feature Aggregation.

Zhen Wang, Dongyuan Li, Yaozu Wu, Peide Zhu, Shiyin Tan, Renhe Jiang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Community-Invariant Graph Contrastive Learning.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction.

Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Joint multi-label learning and feature extraction for temporal link prediction.

Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng

Pattern Recognit., 2022

Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks.

Fei Song, Shiyin Tan, Zengfa Dou, Xiaogang Liu, Xiaoke Ma

BMC Bioinform., 2022

Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network.

Shiyin Tan, Jingyi You, Dongyuan Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

SeHNE: Semi-supervised Heterogeneous Network Embedding for Drug Combination.

Shiyin Tan, Xiaoke Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020