Songlei Jian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Extreme Learning Machine

Anomaly Detection

Categorical Data

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yusen Zhang, Yunchuan Qin, Yufeng Zhang, Xu Zhou, Songlei Jian, Yusong Tan, Kenli Li
OnceNAS: Discovering efficient on-device inference neural networks for edge devices. Inf. Sci. 669 (2024)
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). ICDE (2024)
Yusen Zhang, Yusong Tan, Songlei Jian, Qingbo Wu, Kenli Li
DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs. ICASSP (2024)
Liwen Peng, Songlei Jian, Zhigang Kan, Linbo Qiao, Dong Sheng Li
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. Inf. Process. Manag. 61 (1) (2024)
Chaoxiong Yi, Songlei Jian, Yusong Tan, Yusen Zhang
MACA: Memory-aware convolution accelerating for CNN inference on edge devices. CSCWD (2024)
Xiaoda Xie, Songlei Jian, Chenlin Huang, Fengyuan Yu, Yunjia Deng
LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages. ISSRE (2023)
Xiaoda Xie, Songlei Jian, Chenlin Huang
LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning. CNCIT (2023)
Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. ICML (2023)
Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. CoRR (2023)
Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. 60 (5) (2023)
Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR (2023)
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen
MRML: Multimodal Rumor Detection by Deep Metric Learning. ICASSP (2023)
Xiaogang Jia, Yusong Tan, Songlei Jian, Yonggang Che
Multi-scale Recurrent LSTM and Transformer Network for Depth Completion. CoRR (2023)
Wei Wang, Songlei Jian, Yusong Tan, Qingbo Wu, Chenlin Huang
Robust unsupervised network intrusion detection with self-supervised masked context reconstruction. Comput. Secur. 128 (2023)
Xin Wang, Songlei Jian, Kai Lu, Yi Zhang, Kai Liu
RED: Learning the role embedding in networks via Discrete-time quantum walk. Appl. Intell. 52 (2) (2022)
Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM (2022)
Wei Wang, Songlei Jian, Yusong Tan, Qingbo Wu, Chenlin Huang
Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions. Comput. Secur. 112 (2022)
Yusen Zhang, Bao Li, Yusong Tan, Songlei Jian
Evaluation Ranking is More Important for NAS. IJCNN (2022)
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR (2022)
Chenlin Huang, Wei Chen, Lu Yuan, Yan Ding, Songlei Jian, Yusong Tan, Hua Chen, Dan Chen
Toward security as a service: A trusted cloud service architecture with policy customization. J. Parallel Distributed Comput. 149 (2021)
Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. CVPR (2021)
Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR (2021)
Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang
Script event prediction based on pre-trained model with tail event enhancement. CSAI (2021)
Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. WWW (2021)
Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian
Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. IJCNN (2021)
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning. CoRR (2021)
Songlei Jian, 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 47 (2) (2020)
Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz
Rethinking Class Relations: Absolute-relative Few-shot Learning. CoRR (2020)
Bin Dong, Songlei Jian, Ke Zuo
CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships. Entropy 22 (4) (2020)
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI (2020)
Bin Dong, Songlei Jian, Kai Lu
Learning Multimodal Representations by Symmetrically Transferring Local Structures. Symmetry 12 (9) (2020)
Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao
CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. 31 (5) (2019)
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI (2019)
Xugang Wu, Xiaoping Wang, Xu Zhou, Songlei Jian
STA: Adversarial Attacks on Siamese Trackers. CoRR (2019)
Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. AAAI (2019)
Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao
Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. IEEE Access 7 (2019)
Songlei Jian, Longbing Cao, Kai Lu, Hang Gao
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Trans. Knowl. Data Eng. 30 (9) (2018)
Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao
Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. IEEE Intell. Syst. 33 (6) (2018)
Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI (2018)
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI (2018)
Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI (2017)
Hang Gao, Songlei Jian, Yuxing Peng, Xinwang Liu
A subspace ensemble framework for classification with high dimensional missing data. Multidimens. Syst. Signal Process. 28 (4) (2017)
Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang
Unified Weighted Label Propagation Algorithm Using Connection Factor. ADMA (2016)
Hang Gao, Yuxing Peng, Songlei Jian
Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data. DSC (2016)
Hang Gao, Yuxing Peng, Songlei Jian
Incomplete Multi-view Clustering. Intelligent Information Processing (2016)