| Dynamic module detection in temporal attributed networks of cancers D Li, S Zhang, X Ma IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 47 | 2021 |
| Joyful: Joint modality fusion and graph contrastive learning for multimodal emotion recognition D Li, Y Wang, K Funakoshi, M Okumura Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 27 | 2023 |
| Detecting dynamic community by fusing network embedding and nonnegative matrix factorization D Li, X Zhong, Z Dou, M Gong, X Ma Knowledge-Based Systems 221, 106961, 2021 | 26 | 2021 |
| Joint learning of feature extraction and clustering for large-scale temporal networks D Li, X Ma, M Gong IEEE Transactions on Cybernetics 53 (3), 1653-1666, 2023 | 23 | 2023 |
| Jpg-jointly learn to align: Automated disease prediction and radiology report generation J You, D Li, M Okumura, K Suzuki Proceedings of the 29th international conference on computational …, 2022 | 22 | 2022 |
| A Survey on Deep Active Learning: Recent Advances and New Frontiers D Li*, Z Wang*, Y Chen, R Jiang, W Ding, M Okumura IEEE Transactions on Neural Networks and Learning Systems, 2024 | 21 | 2024 |
| Emp: Emotion-guided multi-modal fusion and contrastive learning for personality traits recognition Y Wang, D Li, K Funakoshi, M Okumura Proceedings of the 2023 ACM International Conference on Multimedia Retrieval …, 2023 | 18 | 2023 |
| Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization D Li, Q Lin, X Ma Neurocomputing 435, 77-90, 2021 | 17 | 2021 |
| A-TIP: attribute-aware text infilling via pre-trained language model D Li, J You, K Funakoshi, M Okumura Proceedings of the 29th International Conference on Computational …, 2022 | 16 | 2022 |
| Detecting evolving communities in dynamic networks using graph regularized evolutionary nonnegative matrix factorization X Ma, D Li, S Tan, Z Huang Physica A: Statistical Mechanics and its Applications 530, 121279, 2019 | 16 | 2019 |
| Joint learning-based heterogeneous graph attention network for timeline summarization J You, D Li, H Kamigaito, K Funakoshi, M Okumura Proceedings of the 2022 Conference of the North American Chapter of the …, 2023 | 14 | 2023 |
| Community-Invariant Graph Contrastive Learning S Tan*, D Li*, R Jiang, Y Zhang, M Okumura The Forty-first International Conference on Machine Learning, 2024 | 10 | 2024 |
| Inter-Modality and Intra-Sample Alignment for Multi-Modal Emotion Recognition Y Wang*, D Li*, J Shen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8 | 2024 |
| Temporality-and frequency-aware graph contrastive learning for temporal network S Tan, J You, D Li Proceedings of the 31st ACM International Conference on Information …, 2022 | 8 | 2022 |
| Multimodal Low-light Image Enhancement with Depth Information Z Wang*, D Li*, G Li, Z Zhang, R Jiang ACM MM 2024, 2024 | 6 | 2024 |
| Temporal and topological augmentation-based cross-view contrastive learning model for temporal link prediction D Li, S Tan, Y Wang, K Funakoshi, M Okumura Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 6 | 2023 |
| Dyg-mamba: Continuous state space modeling on dynamic graphs D Li, S Tan, Y Zhang, M Jin, S Pan, M Okumura, R Jiang arXiv preprint arXiv:2408.06966, 2024 | 5 | 2024 |
| Towards cross-modal point cloud retrieval for indoor scenes F Yu, Z Wang, D Li, P Zhu, X Liang, X Wang, M Okumura International Conference on Multimedia Modeling, 89-102, 2024 | 5 | 2024 |
| After: Active learning based fine-tuning framework for speech emotion recognition D Li, Y Wang, K Funakoshi, M Okumura 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 5* | 2023 |
| Nonnegative matrix factorization for dynamic modules in cancer attribute temporal networks D Li, X Ma 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
Kotaro FunakoshiTokyo Institute of TechnologyVerified email at lr.pi.titech.ac.jp
