Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization Q Zhou, S He, H Liu, T Chen, J Chen IEEE Transactions on Circuits and Systems for Video Technology 33 (5), 2176-2189, 2022 | 43 | 2022 |
Vtrace: Automatic diagnostic system for persistent packet loss in cloud-scale overlay network C Fang, H Liu, M Miao, J Ye, L Wang, W Zhang, D Kang, B Lyv, P Cheng, ... Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020 | 37 | 2020 |
Detecting Multivariate Time Series Anomalies with Zero Known Label Q Zhou, J Chen, H Liu, S He, W Meng AAAI Conference on Artificial Intelligence (AAAI), 2023 | 25 | 2023 |
Instant: Semi-supervised learning with instance-dependent thresholds M Li, R Wu, H Liu, J Yu, X Yang, B Han, T Liu Advances in Neural Information Processing Systems 36, 2922-2938, 2023 | 23 | 2023 |
Short-term strong wind risk prediction for high-speed railway H Liu, C Liu, S He, J Chen IEEE Transactions on Intelligent Transportation Systems 22 (7), 4243-4255, 2021 | 17 | 2021 |
Orientation optimization for full-view coverage using rotatable camera sensors J Chen, H Liu, Q Zhang, S He IEEE Internet of Things Journal 6 (6), 10508-10518, 2019 | 16 | 2019 |
Generalized global ranking-aware neural architecture ranker for efficient image classifier search B Guo, T Chen, S He, H Liu, L Xu, P Ye, J Chen Proceedings of the 30th ACM International Conference on Multimedia, 3730-3741, 2022 | 15 | 2022 |
Toward optimal deployment for full-view point coverage in camera sensor networks K Shi, S Liu, C Li, H Liu, S He, Q Zhang, J Chen IEEE Internet of Things Journal 9 (21), 22008-22021, 2022 | 14 | 2022 |
A survey of cloud network fault diagnostic systems and tools Y Qi, C Fang, H Liu, D Kang, B Lyu, P Cheng, J Chen Frontiers of Information Technology & Electronic Engineering 22 (8), 1031-1045, 2021 | 11 | 2021 |
LP-explain: Local pictorial explanation for outliers H Liu, F Ma, Y Wang, S He, J Chen, J Gao 2020 IEEE International Conference on Data Mining (ICDM), 372-381, 2020 | 11 | 2020 |
Label-free multivariate time series anomaly detection Q Zhou, S He, H Liu, J Chen, W Meng IEEE Transactions on Knowledge and Data Engineering 36 (7), 3166-3179, 2024 | 9 | 2024 |
Intention-aware denoising diffusion model for trajectory prediction C Liu, S He, H Liu, J Chen arXiv preprint arXiv:2403.09190, 2024 | 7 | 2024 |
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry Z Hu, H Liu, Y Xiong, L Wang, R Wu, K Guan, Y Hu, T Lyu, C Fan Multimedia Tools and Applications 83 (2), 6161-6182, 2024 | 6 | 2024 |
Fairness-aware outlier ensemble H Liu, F Ma, S He, J Chen, J Gao arXiv preprint arXiv:2103.09419, 2021 | 6 | 2021 |
Treemil: A multi-instance learning framework for time series anomaly detection with inexact supervision C Liu, S He, H Liu, S Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
WindTrans: Transformer-Based Wind Speed Forecasting Method for High-Speed Railway C Liu, S He, H Liu, J Chen, H Dong IEEE Transactions on Intelligent Transportation Systems 25 (6), 4947-4963, 2024 | 5 | 2024 |
Towards automatic root cause diagnosis of persistent packet loss in cloud overlay network C Fang, H Liu, M Miao, J Ye, L Wang, W Zhang, D Kang, B Lyu, S Zhu, ... IEEE/ACM Transactions on Networking 30 (3), 1178-1192, 2022 | 4 | 2022 |
Data-driven adaptive adjustment strategy for strong wind alarm in high-speed railway H Liu, S He, J Chen Acta Automatica Sinica 45 (12), 1-8, 2019 | 4* | 2019 |
Towards efficient traffic incident detection via explicit edge-level incident modeling C Liu, J Chen, H Liu, S Li, S He IEEE Internet of Things Journal, 2024 | 3 | 2024 |
Rethinking noisy label learning in real-world annotation scenarios from the noise-type perspective R Zhu, H Liu, R Wu, M Lin, T Lv, C Fan, H Wang arXiv preprint arXiv:2307.16889, 2023 | 3 | 2023 |