An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks. - Keli Zhang; Marcus Kalander; Min Zhou 006; Xi Zhang; Junjian Ye (ICSOC Workshops, 2020)

Proactive microwave link anomaly detection in cellular data networks. - Lujia Pan; Jianfeng Zhang; Patrick P. C. Lee; Marcus Kalander; Junjian Ye; Pinghui Wang (Comput. Networks, 2020)

Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. - Marcus Kalander; Min Zhou 006; Chengzhi Zhang; Hanling Yi; Lujia Pan (CoRR, 2020)

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. - Menglin Yang 001; Min Zhou 006; Marcus Kalander; Zengfeng Huang; Irwin King (KDD, 2021)

An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. - Yong Wen; Marcus Kalander; Chanfei Su; Lujia Pan (CoRR, 2021)

gCastle: A Python Toolbox for Causal Discovery. - Keli Zhang; Shengyu Zhu 001; Marcus Kalander; Ignavier Ng; Junjian Ye; Zhitang Chen; Lujia Pan (CoRR, 2021)

Contrastive Representation based Active Learning for Time Series. - Lujia Pan; Marcus Kalander; Yuchao Zhang; Pinghui Wang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk. - Marcus Kalander (CoRR, 2022)

LDAAD: An effective label de-noising approach for anomaly detection. - Lujia Pan; Marcus Kalander; Pinghui Wang (J. Intell. Fuzzy Syst., 2022)

Out-of-distribution Detection with Implicit Outlier Transformation. - Qizhou Wang; Junjie Ye; Feng Liu 003; Quanyu Dai; Marcus Kalander; Tongliang Liu; Jianye Hao; Bo Han 003 (ICLR, 2023)

Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation. - Jiren Mai; Fei Zhang; Junjie Ye; Marcus Kalander; Xian Zhang; Wankou Yang; Tongliang Liu; Bo Han 003 (CoRR, 2023)

Safe Table Tennis Swing Stroke with Low-Cost Hardware. - Francesco Cursi; Marcus Kalander; Shuang Wu 005; Xidi Xue; Yu Tian; Guangjian Tian; Xingyue Quan; Jianye Hao (ICRA, 2024)

Exploiting counter-examples for active learning with partial labels. - Fei Zhang; Yunjie Ye; Lei Feng 006; Zhongwen Rao; Jieming Zhu; Marcus Kalander; Chen Gong 002; Jianye Hao; Bo Han 003 (Mach. Learn., 2024)