| NPP: A neural popularity prediction model for social media content G Chen, Q Kong, N Xu, W Mao Neurocomputing 333, 221-230, 2019 | 73 | 2019 |
| Exploring Trends and Patterns of Popularity Stage Evolution in Social Media Q Kong, W Mao, G Chen, D Zeng IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 | 40 | 2018 |
| Online event detection and tracking in social media based on neural similarity metric learning G Chen, Q Kong, W Mao 2017 IEEE International Conference on Intelligence and Security Informatics …, 2017 | 20 | 2017 |
| An attention-based neural popularity prediction model for social media events G Chen, Q Kong, W Mao 2017 IEEE International Conference on Intelligence and Security Informatics …, 2017 | 19 | 2017 |
| A topic enhanced approach to detecting multiple standpoints in web texts J Lin, Q Kong, W Mao, L Wang Information Sciences 501, 483-494, 2019 | 11 | 2019 |
| Enhancing rumor detection in social media using dynamic propagation structures S Wang, Q Kong, Y Wang, L Wang 2019 IEEE International Conference on Intelligence and Security Informatics …, 2019 | 9 | 2019 |
| Popularity prediction based on interactions of online contents Q Kong, W Mao, C Liu 2016 4th International Conference on Cloud Computing and Intelligence …, 2016 | 9 | 2016 |
| Exploring cognitive dissonance on social media J Bai, Q Kong, L Li, L Wang, D Zeng 2019 IEEE International Conference on Intelligence and Security Informatics …, 2019 | 7 | 2019 |
| Joint learning with keyword extraction for event detection in social media G Chen, W Mao, Q Kong, H Han 2018 IEEE International Conference on Intelligence and Security Informatics …, 2018 | 7 | 2018 |
| Predicting popularity of forum threads for public events security Q Kong, W Mao, D Zeng, L Wang 2014 IEEE Joint Intelligence and Security Informatics Conference, 99-106, 2014 | 7 | 2014 |
| Predicting user participation in social networking sites Q Kong, W Mao, D Zeng 2013 IEEE International Conference on Intelligence and Security Informatics …, 2013 | 5 | 2013 |
| Multi-level news recommendation via modeling candidate interactions Y Sun, Q Kong, W Mao, S Tang 2022 7th International Conference on Big Data Analytics (ICBDA), 290-295, 2022 | 3 | 2022 |
| Social emotion cause extraction from online texts X Xiao, L Wang, Q Kong, W Mao 2020 IEEE International Conference on Intelligence and Security Informatics …, 2020 | 3 | 2020 |
| Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning H Yang, R Zhang, Q Kong, W Mao arXiv preprint arXiv:2211.01952, 2022 | 2 | 2022 |
| Boosting hidden graph node classification for large social networks H Yang, Q Kong, W Mao, L Wang 2021 IEEE International Conference on Intelligence and Security Informatics …, 2021 | 2 | 2021 |
| A deep latent space model for graph representation learning H Yang, Q Kong, W Mao arXiv preprint arXiv:2106.11721, 2021 | 2 | 2021 |
| 基于动态演化的讨论帖流行度预测 孔庆超， 毛文吉 软件学报 25 (12), 2767-2776, 2014 | 2 | 2014 |
| A deep latent space model for interpretable representation learning on directed graphs H Yang, Q Kong, W Mao Neurocomputing 576, 127342, 2024 | 1 | 2024 |
| YAYI 2: Multilingual Open-Source Large Language Models Y Luo, Q Kong, N Xu, J Cao, B Hao, B Qu, B Chen, C Zhu, C Zhao, ... arXiv preprint arXiv:2312.14862, 2023 | 1 | 2023 |
| Contrastive Semantic Similarity Learning for Multi-Hop Question Answering over Event-Centric Knowledge Graphs W Tang, Q Kong, W Mao, X Wu 2022 IEEE 8th International Conference on Cloud Computing and Intelligent …, 2022 | 1 | 2022 |
