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2020 – today
- 2025
[j18]Liwen Peng
, Songlei Jian, Minne Li, Zhigang Kan, Linbo Qiao, Dongsheng Li:
A unified multimodal classification framework based on deep metric learning. Neural Networks 181: 106747 (2025)- 2024
- [j17]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): 103564 (2024) - [j16]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: 120567 (2024) - [j15]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(11): 5723-5736 (2024) - [c22]Chaoxiong Yi, Songlei Jian, Yusong Tan, Yusen Zhang:
MACA: Memory-aware convolution accelerating for CNN inference on edge devices. CSCWD 2024: 1250-1255 - [c21]Yusen Zhang, Yusong Tan, Songlei Jian, Qingbo Wu, Kenli Li:
DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs. ICASSP 2024: 6565-6569 - [c20]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: 5683-5684 - [i9]Ruyi Zhang, Hongzuo Xu, Songlei Jian, Yusong Tan, Haifang Zhou, Rulin Xu:
Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection. CoRR abs/2410.21322 (2024) - 2023
- [j14]Wei Wang, Songlei Jian, Yusong Tan, Qingbo Wu, Chenlin Huang:
Robust unsupervised network intrusion detection with self-supervised masked context reconstruction. Comput. Secur. 128: 103131 (2023) - [j13]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): 103459 (2023) - [j12]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): 3952-3965 (2023) - [c19]Xiaoda Xie, Songlei Jian, Chenlin Huang:
LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning. CNCIT 2023: 116-121 - [c18]Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen:
MRML: Multimodal Rumor Detection by Deep Metric Learning. ICASSP 2023: 1-5 - [c17]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: 38655-38673 - [c16]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: 194-206 - [i8]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 abs/2305.16114 (2023) - [i7]Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang:
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR abs/2307.13239 (2023) - [i6]Xiaogang Jia, Yusong Tan, Songlei Jian, Yonggang Che:
Multi-scale Recurrent LSTM and Transformer Network for Depth Completion. CoRR abs/2309.16301 (2023) - 2022
- [j11]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): 1493-1507 (2022) - [j10]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: 102537 (2022) - [c15]Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu:
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM 2022: 1299-1308 - [c14]Yusen Zhang, Bao Li, Yusong Tan, Songlei Jian:
Evaluation Ranking is More Important for NAS. IJCNN 2022: 1-8 - [i5]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR abs/2207.12201 (2022) - 2021
- [j9]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: 76-88 (2021) - [c13]Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang:
Script event prediction based on pre-trained model with tail event enhancement. CSAI 2021: 242-248 - [c12]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: 9432-9441 - [c11]Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian:
Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. IJCNN 2021: 1-8 - [c10]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: 1328-1339 - [i4]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 abs/2104.05960 (2021) - [i3]Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang:
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR abs/2104.15052 (2021) - 2020
- [j8]Bin Dong, Songlei Jian, Ke Zuo:
CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships. Entropy 22(4): 391 (2020) - [j7]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): 1-9 (2020) - [j6]Bin Dong, Songlei Jian, Kai Lu:
Learning Multimodal Representations by Symmetrically Transferring Local Structures. Symmetry 12(9): 1504 (2020) - [c9]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327 - [i2]Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz:
Rethinking Class Relations: Absolute-relative Few-shot Learning. CoRR abs/2001.03919 (2020)
2010 – 2019
- 2019
- [j5]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: 98639-98651 (2019) - [j4]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): 853-866 (2019) - [c8]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: 598-605 - [c7]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: 3830-3837 - [i1]Xugang Wu, Xiaoping Wang, Xu Zhou, Songlei Jian:
STA: Adversarial Attacks on Siamese Trackers. CoRR abs/1909.03413 (2019) - 2018
- [j3]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): 57-67 (2018) - [j2]Songlei Jian, Longbing Cao, Kai Lu, Hang Gao:
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Trans. Knowl. Data Eng. 30(9): 1810-1823 (2018) - [c6]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI 2018: 3318-3325 - [c5]Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen:
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI 2018: 3400-3406 - 2017
- [j1]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): 1309-1324 (2017) - [c4]Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao:
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI 2017: 1937-1943 - 2016
- [c3]Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang:
Unified Weighted Label Propagation Algorithm Using Connection Factor. ADMA 2016: 434-444 - [c2]Hang Gao, Yuxing Peng, Songlei Jian:
Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data. DSC 2016: 663-667 - [c1]Hang Gao, Yuxing Peng, Songlei Jian:
Incomplete Multi-view Clustering. Intelligent Information Processing 2016: 245-255
Coauthor Index
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last updated on 2024-12-01 01:11 CET by the dblp team
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