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 | 12 | 2023 |
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 |
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 | 8 | 2024 |
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 | 6 | 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 | 5 | 2023 |
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 252, 124092, 2024 | 4 | 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 | 4 | 2023 |
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 | 4 | 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 |
Front-End Kibana (FEK) CS5604 Fall 2019 E Powell, H Liu, R Huang, Y Sun, C Xu Virginia Tech, 2020 | 3 | 2020 |
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 20 (6 …, 2022 | 2 | 2022 |
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 |
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 | 1 | 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 | 1 | 2023 |
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 |
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network S Chen, Y Sun, P Li, L Zhou, CT Lu 2024 IEEE International Conference on Robotics and Automation (ICRA), 2596-2602, 2024 | | 2024 |
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 |