Publications

• Journal papers
  • Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang and Guansong Pang.”Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection.” IEEE Transactions on Knowledge and Data Engineering (2024) (CCF A).[Paper] [Code]
  • Liwen Peng, Songlei Jian*, Zhigang Kan, Linbo Qiao, and Dongsheng Li. “Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.” Information Processing and Management 2023 (CCF B).[Paper] [Code]
  • Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang. “RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision” Information Processing & Management. 2023 (CCF B). [Paper] [Code]
  • Wang, Wei, Songlei Jian*, Yusong Tan*, Qingbo Wu, and Chenlin Huang. “Robust Unsupervised Network Intrusion Detection with Self-supervised Masked Context Reconstruction.” Computers & Security (2023) (CCF B) [Paper]
  • Ning Liu, Songlei Jian*, Dongsheng Li*, Yiming Zhang, Zhiquan Lai and Hongzuo Xu. “Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning.” IEEE Transactions on Knowledge and Data Engineering (2021) (CCF A) [Paper]
  • Wang, Wei$^{1}$, Songlei Jian$^{1}$*, Yusong Tan*, Qingbo Wu, and Chenlin Huang. “Representation Learning-based Network Intrusion Detection System by Capturing Explicit and Implicit Feature Interactions.” ($^{1}$equal contribution) Computers & Security (2021) (CCF B) [Paper]
  • Jian, Songlei, Longbing Cao, Kai Lu and Hang Gao. “Unsupervised Coupled Metric Similarity for Non-IID Categorical Data.” IEEE Transactions on Knowledge and Data Engineering (2018) (CCF A). [Paper] [Appendix][Code]
  • Jian, Songlei, Kai Lu, “复杂异构数据的表征学习综述”(Survey on Representation Learning of Complex Heterogeneous Data). 计算机科学(Computer Science) (2020)[Paper] (CCF B中文)
  • Jian, Songlei, Guansong Pang, Longbing Cao, Kai Lu, and Hang Gao. “CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning.” IEEE Transactions on Knowledge and Data Engineering (2018) (CCF A). [Paper][CDE Code][COSH Code]
  • Hu, Liang, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, and Jian Cao. “Neural Cross-Session Filtering: Next-Item Prediction Under Intra-and Inter-Session Context.” IEEE Intelligent Systems (2018).
• Conference papers
  • Yusen Zhang$^{1}$, Yusong Tan$^{1}$, Songlei Jian*, Qingbo Wu, Kenli Li.”DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs.” ICASSP 2024(Best Student Paper Award!CCF B )[Paper]
  • Xiaoda Xie$^{1}$, Songlei Jian$^{1}$, Chenlin Huang, Fengyuan Yu, and Yujia Deng. “LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages.” ISSRE 2023 (CCF B). [Paper]
  • Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, and Ning Liu. “Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning.” ICML 2023 (CCF A). [Paper] [Code]
  • Liwen Peng, Songlei Jian*, Dongsheng Li*, and Siqi Shen. “MRML: Multimodal Rumor Detection by Deep Metric Learning.” ICASSP 2023 (CCF B).[Paper] [Code]
  • Ning Liu, Songlei Jian*, Dongsheng Li*, and Hongzuo Xu. “Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.” CIKM 2022 (CCF B).[Paper]
  • Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, and Philip H. S. Torr. “Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning.” CVPR 2021 (CCF A). [Paper]
  • Hongzuo Xu, Yijie Wang*, Songlei Jian*, Zhenyu Huang, Yongjun Wang, Ning Liu and Fei Li. “Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network.” WWW 2021 (CCF A). [Paper] [Code]
  • Jian, Songlei, Liang Hu, Longbing Cao and Kai Lu. “Representation Learning with Multiple Lipschitz-constrained Alignments on Partially-labeled Cross-domain Data.” AAAI 2020 (CCF A). [Paper][Code]
  • Jian, Songlei, Liang Hu, Longbing Cao, Kai Lu and Hang Gao. “Evolutionarily Learning Multi-aspect Interactions and Influences from Network Structure and Node Content.” AAAI 2019 (CCF A). [Slides] [Paper] [Code]
  • Jian, Songlei, Liang Hu, Longbing Cao, and Kai Lu. “Metric-based Auto-Instructor for Learning Mixed Data Representation.” AAAI, 2018 (CCF A). [Paper] [Code]
  • Jian, Songlei, Longbing Cao, Guansong Pang, Kai Lu, and Hang Gao. “Embedding-based representation of categorical data by hierarchical value coupling learning.” IJCAI 2017 (CCF A). [Paper] [Code]
  • Hu, Liang, Songlei Jian, Longbing Cao, and Qingkui Chen. “Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents.” IJCAI 2018 (CCF A). [Paper]
  • Hu, Liang, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen and Artak Amirbekyan. “HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation.” AAAI 2019 (CCF A)[Paper]