SeHNE: Semi-supervised Heterogeneous Network Embedding for Drug Combination. - Shiyin Tan; Xiaoke Ma (BIBM, 2020)

Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. - Shiyin Tan; Jingyi You; Dongyuan Li (CIKM, 2022)

Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks. - Fei Song; Shiyin Tan; Zengfa Dou; Xiaogang Liu; Xiaoke Ma 001 (BMC Bioinform., 2022)

Joint multi-label learning and feature extraction for temporal link prediction. - Xiaoke Ma 001; Shiyin Tan; Xianghua Xie; Xiaoxiong Zhong; Jingjing Deng 001 (Pattern Recognit., 2022)

Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. - Dongyuan Li; Shiyin Tan; Yusong Wang; Kotaro Funakoshi; Manabu Okumura (CIKM, 2023)

Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization. - Dongyuan Li; Ying Zhang 065; Zhen Wang; Shiyin Tan; Satoshi Kosugi; Manabu Okumura (EMNLP (Findings), 2024)

Community-Invariant Graph Contrastive Learning. - Shiyin Tan; Dongyuan Li; Renhe Jiang; Ying Zhang 065; Manabu Okumura (ICML, 2024)

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. - Dongyuan Li; Shiyin Tan; Ying Zhang 065; Ming Jin 005; Shirui Pan; Manabu Okumura; Renhe Jiang (CoRR, 2024)

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 (AAAI, 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 (SIGIR, 2025)

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity. - Shiyin Tan; Dongyuan Li; Renhe Jiang; Zhen Wang 004; Xingtong Yu; Manabu Okumura (CoRR, 2025)