Songlei Jian

According to our database, Songlei Jian authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.

Liwen Peng, Songlei Jian, Zhigang Kan, Linbo Qiao, Dong Sheng Li

Inf. Process. Manag., January, 2024

2023

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.

Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang

Inf. Process. Manag., September, 2023

Robust unsupervised network intrusion detection with self-supervised masked context reconstruction.

Wei Wang, Songlei Jian, Yusong Tan, Qingbo Wu, Chenlin Huang

Comput. Secur., May, 2023

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning.

Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

IEEE Trans. Knowl. Data Eng., April, 2023

Multi-scale Recurrent LSTM and Transformer Network for Depth Completion.

Xiaogang Jia, Yusong Tan, Songlei Jian, Yonggang Che

CoRR, 2023

LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages.

Xiaoda Xie, Songlei Jian, Chenlin Huang, Fengyuan Yu, Yunjia Deng

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning.

Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu

Proceedings of the International Conference on Machine Learning, 2023

MRML: Multimodal Rumor Detection by Deep Metric Learning.

Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen

Proceedings of the IEEE International Conference on Acoustics, 2023

LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning.

Xiaoda Xie, Songlei Jian, Chenlin Huang

Proceedings of the 2nd International Conference on Networks, 2023

2022

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection.

Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang

CoRR, 2022

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions.

Wei Wang, Songlei Jian, Yusong Tan, Qingbo Wu, Chenlin Huang

Comput. Secur., 2022

RED: Learning the role embedding in networks via Discrete-time quantum walk.

Xin Wang, Songlei Jian, Kai Lu, Yi Zhang, Kai Liu

Appl. Intell., 2022

Evaluation Ranking is More Important for NAS.

Yusen Zhang, Bao Li, Yusong Tan, Songlei Jian

Proceedings of the International Joint Conference on Neural Networks, 2022

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.

Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Toward security as a service: A trusted cloud service architecture with policy customization.

Chenlin Huang, Wei Chen, Lu Yuan, Yan Ding, Songlei Jian, Yusong Tan, Hua Chen, Dan Chen

J. Parallel Distributed Comput., 2021

DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities.

Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang

CoRR, 2021

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network.

Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next.

Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian

Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning.

Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Script event prediction based on pre-trained model with tail event enhancement.

Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

2020

Learning Multimodal Representations by Symmetrically Transferring Local Structures.

Bin Dong, Songlei Jian, Kai Lu

Symmetry, 2020

复杂异构数据的表征学习综述 (Survey on Representation Learning of Complex Heterogeneous Data).

Songlei Jian, Kai Lu

计算机科学, 2020

CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships.

Bin Dong, Songlei Jian, Ke Zuo

Entropy, 2020

Rethinking Class Relations: Absolute-relative Few-shot Learning.

Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz

CoRR, 2020

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data.

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning.

Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao

IEEE Trans. Knowl. Data Eng., 2019

STA: Adversarial Attacks on Siamese Trackers.

Xugang Wu, Xiaoping Wang, Xu Zhou, Songlei Jian

CoRR, 2019

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis.

Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao

IEEE Access, 2019

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content.

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation.

Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Unsupervised Coupled Metric Similarity for Non-IID Categorical Data.

Songlei Jian, Longbing Cao, Kai Lu, Hang Gao

IEEE Trans. Knowl. Data Eng., 2018

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context.

Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao

IEEE Intell. Syst., 2018

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents.

Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Metric-Based Auto-Instructor for Learning Mixed Data Representation.

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A subspace ensemble framework for classification with high dimensional missing data.

Hang Gao, Songlei Jian, Yuxing Peng, Xinwang Liu

Multidimens. Syst. Signal Process., 2017

Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning.

Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Incomplete Multi-view Clustering.

Hang Gao, Yuxing Peng, Songlei Jian

Proceedings of the Intelligent Information Processing VIII, 2016

Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data.

Hang Gao, Yuxing Peng, Songlei Jian

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Unified Weighted Label Propagation Algorithm Using Connection Factor.

Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016