| A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams J Jiang, F Liu, Y Liu, Q Tang, B Wang, G Zhong, W Wang Computer Communications 194, 250-257, 2022 | 49 | 2022 |
| Attention-guided chained context aggregation for semantic segmentation Q Tang, F Liu, T Zhang, J Jiang, Y Zhang Image and Vision Computing 115, 104309, 2021 | 35 | 2021 |
| Dynamic incremental ensemble fuzzy classifier for data streams in green internet of things J Jiang, F Liu, WWY Ng, Q Tang, W Wang, QV Pham IEEE transactions on green communications and networking 6 (3), 1316-1329, 2022 | 34 | 2022 |
| Tracegra: A Trace-Based Anomaly Detection for Microservice Using Graph Deep Learning J Chen, F Liu*, G Zhong, J Jiang*, D Xu, S Shi, Z Tan Computer Communications, 2023 | 18 | 2023 |
| AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing J Jiang, F Liu, WWY Ng, Q Tang, G Zhong, X Tang, B Wang Computer Communications 200, 86-94, 2023 | 17 | 2023 |
| Dependency-aware vehicular task scheduling policy for tracking service VEC networks C Li, F Liu, B Wang, CLP Chen, X Tang, J Jiang, J Liu IEEE Transactions on Intelligent Vehicles 8 (3), 2400-2414, 2022 | 14 | 2022 |
| EPRNet: Efficient pyramid representation network for real-time street scene segmentation Q Tang, F Liu, J Jiang, Y Zhang IEEE Transactions on Intelligent Transportation Systems 23 (7), 7008-7016, 2021 | 12 | 2021 |
| Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection G Zhong, F Liu*, J Jiang*, B Wang, CLP Chen Information Sciences 656, 119914, 2024 | 11 | 2024 |
| A two-stage scheduling method for deadline-constrained task in cloud computing X He, J Shen, F Liu, B Wang, G Zhong, J Jiang Cluster Computing 25 (5), 3265-3281, 2022 | 11 | 2022 |
| Compensating for local ambiguity with encoder-decoder in urban scene segmentation Q Tang, F Liu, T Zhang, J Jiang, Y Zhang, B Zhu, X Tang IEEE Transactions on Intelligent Transportation Systems 23 (10), 19224-19235, 2022 | 10 | 2022 |
| Event-driven semantic service discovery based on word embeddings F Liu, D Deng, J Jiang, Q Tang IEEE Access 6, 61030-61038, 2018 | 8 | 2018 |
| Workflow scheduling based on asynchronous advantage actor–critic algorithm in multi-cloud environment X Tang, F Liu, B Wang, D Xu, J Jiang, Q Wu, CLP Chen Expert Systems with Applications 258, 125245, 2024 | 5 | 2024 |
| Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder G Zhong, F Liu*, J Jiang*, B Wang, X Yao, CLP Chen IEEE Transactions on Network and Service Management, 2024 | 5 | 2024 |
| Category feature transformer for semantic segmentation Q Tang, C Liu, F Liu, Y Liu, J Jiang, B Zhang, K Han, Y Wang arXiv preprint arXiv:2308.05581, 2023 | 4 | 2023 |
| CauseFormer: interpretable anomaly detection with stepwise attention for cloud service G Zhong, F Liu*, J Jiang*, CLP Chen IEEE Transactions on Network and Service Management, 2023 | 3 | 2023 |
| Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation Q Tang, F Liu, J Jiang, Y Zhang, X Tang International Conference on Artificial Neural Networks, 1-13, 2022 | 2 | 2022 |
| Incremental Semi-Supervised Learning for Data Streams Classification in Internet of Things J Jiang, B Wang, Q Tang, G Zhong, X Tang, JJPC Rodrigues IEEE Transactions on Network and Service Management, 2025 | | 2025 |
| Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation Q Tang, C Liu, F Liu, J Jiang, B Zhang, CLP Chen, K Han, Y Wang IEEE Transactions on Image Processing 34, 1036-1047, 2025 | | 2025 |
| Increase the sensitivity of moderate examples for semantic image segmentation Q Tang, F Liu, D Zhang, J Jiang, X Tang, CLP Chen Image and Vision Computing 154, 105357, 2025 | | 2025 |
| LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment X Tang, F Liu, D Xu, J Jiang, Q Tang, B Wang, Q Wu, CLP Chen IEEE Transactions on Consumer Electronics, 2025 | | 2025 |
Quan TangPengcheng Laboratoryبريد إلكتروني تم التحقق منه على pcl.ac.cn