| Joint identification of network communities and semantics via integrative modeling of network topologies and node contents D He, Z Feng, D Jin, X Wang, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 111 | 2017 |
| Robust detection of link communities with summary description in social networks D Jin, X Wang, D He, J Dang, W Zhang IEEE Transactions on Knowledge and Data Engineering 33 (6), 2737-2749, 2019 | 32 | 2019 |
| Robust detection of link communities in large social networks by exploiting link semantics D Jin, X Wang, R He, D He, J Dang, W Zhang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 30 | 2018 |
| Topic enhanced sentiment spreading model in social networks considering user interest X Wang, D Jin, K Musial, J Dang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 989-996, 2020 | 15 | 2020 |
| Augmenting affective dependency graph via iterative incongruity graph learning for sarcasm detection X Wang, Y Dong, D Jin, Y Li, L Wang, J Dang Proceedings of the AAAI conference on artificial intelligence 37 (4), 4702-4710, 2023 | 13 | 2023 |
| Inflation improves graph neural networks D He, R Guo, X Wang, D Jin, Y Huang, W Wang Proceedings of the ACM Web Conference 2022, 1466-1474, 2022 | 11 | 2022 |
| Identification of generalized semantic communities in large social networks D Jin, X Wang, M Liu, J Wei, W Lu, F Fogelman-Soulié IEEE Transactions on Network Science and Engineering 7 (4), 2966-2979, 2020 | 10 | 2020 |
| Emotional contagion-based social sentiment mining in social networks by introducing network communities X Wang, D Jin, M Liu, D He, K Musial, J Dang Proceedings of the 28th ACM international conference on information and …, 2019 | 10 | 2019 |
| A Generalized Deep Markov Random Fields Framework for Fake News Detection. Y Dong, D He, X Wang, Y Li, X Su, Di Jin 0001 IJCAI, 4758-4765, 2023 | 8 | 2023 |
| Commonsense knowledge enhanced sentiment dependency graph for sarcasm detection Z Yu, D Jin, X Wang, Y Li, L Wang, J Dang Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 7 | 2023 |
| A joint community detection model: Integrating directed and undirected probabilistic graphical models via factor graph with attention mechanism D He, H Liu, Z Feng, X Wang, D Jin, W Song, Y Huang IEEE Transactions on Big Data 8 (4), 994-1006, 2021 | 6 | 2021 |
| Identification of communities with multi-semantics via Bayesian generative model D He, Y Wu, Y Wang, Z Yu, Z Feng, X Wang, Y Huang IEEE Transactions on Big Data 8 (4), 869-881, 2021 | 5 | 2021 |
| Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning Y Dong, D He, X Wang, Y Jin, M Ge, C Yang, D Jin Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8354-8362, 2024 | 4 | 2024 |
| Local-global defense against unsupervised adversarial attacks on graphs D Jin, B Feng, S Guo, X Wang, J Wei, Z Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8105-8113, 2023 | 4 | 2023 |
| Identification of generalized communities with semantics in networks with content D Jin, X Wang, D He, W Lu, F Fogelman-Soulié, J Dang 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 3 | 2017 |
| Community Detection on Social Networks With Sentimental Interaction B Feng, F Cheng, Y Liu, X Chang, X Wang, D Jin International Journal on Semantic Web and Information Systems (IJSWIS) 20 (1 …, 2024 | 2 | 2024 |
| Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations L Li, D Jin, X Wang, F Guo, L Wang, J Dang 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | 2 | 2023 |
| speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition H Lu, N Li, T Song, L Wang, J Dang, X Wang, S Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training. J He, C Gong, L Wang, Di Jin 0001, X Wang, J Xu, J Dang INTERSPEECH, 5538-5542, 2022 | 1 | 2022 |
| Backdoor attacks on unsupervised graph representation learning B Feng, D Jin, X Wang, F Cheng, S Guo Neural Networks 180, 106668, 2024 | | 2024 |
Di JinTianjin University, ProfessorVerified email at tju.edu.cn
