| Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks Y Sun, YC Lu, K Fu, F Chen, CT Lu Journal of King Saud University-Computer and Information Sciences 34 (8 …, 2022 | 9 | 2022 |
| Med-MMHL: A Multi-Modal Dataset for Detecting Human-and LLM-Generated Misinformation in the Medical Domain Y Sun, J He, S Lei, L Cui, CT Lu arXiv preprint arXiv:2306.08871, 2023 | 6 | 2023 |
| Twitter bot identification: An anomaly detection approach L Alkulaib, L Zhang, Y Sun, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 3577-3585, 2022 | 5 | 2022 |
| Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals. S Zhang, H Wang, Z Zheng, T Liu, W Li, Z Zhang, Y Sun International Journal of Neural Systems 33 (11), 2350055-2350055, 2023 | 4 | 2023 |
| Front-End Kibana (FEK) CS5604 Fall 2019 E Powell, H Liu, R Huang, Y Sun, C Xu Virginia Tech, 2020 | 4 | 2020 |
| DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Y Sun, K Fu, CT Lu arXiv preprint arXiv:2303.12238, 2023 | 3 | 2023 |
| The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance Y Sun, N Polys Proceedings of the 25th International Conference on 3D Web Technology, 1-8, 2020 | 3 | 2020 |
| Personalized recommendation based on link prediction in dynamic super-networks W Hong, Y Sun, X Yu Fifth International Conference on Computing, Communications and Networking …, 2014 | 2 | 2014 |
| Sparse graph Cascade multi-kernel fusion contrastive learning for microbe-disease association prediction S Yu, H Wang, M Hua, C Liang, Y Sun Expert Systems with Applications, 124092, 2024 | 1 | 2024 |
| Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction L Zhuang, H Wang, J Zhao, Y Sun Information Sciences 642, 119139, 2023 | 1 | 2023 |
| Dual network contrastive learning for predicting microbe-disease associations E Cheng, J Zhao, H Wang, S Song, S Xiong, Y Sun IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 1 | 2022 |
| Hybrid collaborative filtering recommendation based on time and diversity H WANG, Y SUN, X YU ICIC express letters. Part B, Applications: an international journal of …, 2015 | 1 | 2015 |
| Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges Y Sun, J He, L Cui, S Lei, CT Lu arXiv preprint arXiv:2403.18249, 2024 | | 2024 |
| EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention Z Zheng, H Wang, Y Tan, C Liang, Y Sun Expert Systems with Applications 234, 121016, 2023 | | 2023 |
| RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction Y Sun, K Fu, CT Lu 2023 IEEE International Conference on Big Data (BigData), 895-904, 2023 | | 2023 |
| LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks Y Sun, J Yu, CT Lu 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Infinitely Deep Graph Transformation Networks L Zhang, Q Zhang, Z Chen, Y Sun, CT Lu, L Zhao 2023 IEEE International Conference on Data Mining (ICDM), 778-787, 2023 | | 2023 |
| A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of miRNA-Disease Associations S Yu, H Wang, J Li, J Zhao, C Liang, Y Sun IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | | 2023 |
| Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms S Chen, Y Sun, P Li, L Zhou, CT Lu Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
| Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network S Chen, Y Sun, P Li, L Zhou, CT Lu arXiv preprint arXiv:2309.17437, 2023 | | 2023 |
