Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. - Haowen Xu; Wenxiao Chen; Nengwen Zhao; Zeyan Li; Jiahao Bu; Zhihan Li; Ying Liu 024; Youjian Zhao; Dan Pei; Yang Feng; Jie Chen; Zhaogang Wang; et al. (WWW, 2018)

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE. - Wenxiao Chen; Haowen Xu; Zeyan Li; Dan Pei; Jie Chen; Honglin Qiao; Yang Feng; Zhaogang Wang (INFOCOM, 2019)

iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases. - Jian Tan 001; Tieying Zhang; Feifei Li 001; Jie Chen; Qixing Zheng; Ping Zhang; Honglin Qiao; Yue Shi; Wei Cao 006; Rui Zhang (Proc. VLDB Endow., 2019)

BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes. - Liangjun Feng; Chunhui Zhao 001; C. L. Philip Chen; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (Neurocomputing, 2020)

AAformer: Auto-Aligned Transformer for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Shiliang Zhang; Yaowei Wang 001; Gaopan Huang; Honglin Qiao; Jing Liu 001; Jinqiao Wang; Ming Tang 001 (CoRR, 2021)

Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. - Liangjun Feng; Chunhui Zhao 001; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (IEEE Trans. Instrum. Meas., 2021)

Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning. - Yuanlong Li; Gaopan Huang; Min Zhou; Chuan Fu; Honglin Qiao; Yan He (CoRR, 2022)

Multi-Granularity Mutual Learning Network for Object Re-Identification. - Mingfei Tu; Kuan Zhu; Haiyun Guo; Qinghai Miao; Chaoyang Zhao; Guibo Zhu; Honglin Qiao; Gaopan Huang; Ming Tang 001; Jinqiao Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification. - La Zhang; Haiyun Guo; Kuan Zhu; Honglin Qiao; Gaopan Huang; Sen Zhang; Huichen Zhang; Jian Sun 003; Jinqiao Wang (ACM Trans. Multim. Comput. Commun. Appl., 2022)