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Shiyin Tan
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2020 – today
- 2024
- [c5]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. EMNLP (Findings) 2024: 8959-8971 - [c4]Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura:
Community-Invariant Graph Contrastive Learning. ICML 2024 - [i2]Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura:
Community-Invariant Graph Contrastive Learning. CoRR abs/2405.01350 (2024) - [i1]Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang:
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. CoRR abs/2408.06966 (2024) - 2023
- [c3]Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. CIKM 2023: 4059-4063 - 2022
- [j2]Fei Song, Shiyin Tan, Zengfa Dou, Xiaogang Liu, Xiaoke Ma:
Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks. BMC Bioinform. 23(1): 34 (2022) - [j1]Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng:
Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. 121: 108216 (2022) - [c2]Shiyin Tan, Jingyi You, Dongyuan Li:
Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. CIKM 2022: 1878-1888 - 2020
- [c1]Shiyin Tan, Xiaoke Ma:
SeHNE: Semi-supervised Heterogeneous Network Embedding for Drug Combination. BIBM 2020: 1656-1661
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