Unified Weighted Label Propagation Algorithm Using Connection Factor. - Xin Wang 111; Songlei Jian; Kai Lu 001; Xiaoping Wang (ADMA, 2016)

Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data. - Hang Gao; Yuxing Peng 001; Songlei Jian (DSC, 2016)

Incomplete Multi-view Clustering. - Hang Gao; Yuxing Peng 001; Songlei Jian (IIP, 2016)

Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. - Songlei Jian; Longbing Cao; Guansong Pang; Kai Lu 001; Hang Gao (IJCAI, 2017)

A subspace ensemble framework for classification with high dimensional missing data. - Hang Gao; Songlei Jian; Yuxing Peng 001; Xinwang Liu 002 (Multidimens. Syst. Signal Process., 2017)

Metric-Based Auto-Instructor for Learning Mixed Data Representation. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2018)

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. - Liang Hu 004; Songlei Jian; Longbing Cao; Qingkui Chen (IJCAI, 2018)

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. - Liang Hu 004; Qingkui Chen; Haiyan Zhao 002; Songlei Jian; Longbing Cao; Jian Cao 001 (IEEE Intell. Syst., 2018)

Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. - Songlei Jian; Longbing Cao; Kai Lu 001; Hang Gao (IEEE Trans. Knowl. Data Eng., 2018)

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. - Liang Hu 004; Songlei Jian; Longbing Cao; Zhiping Gu; Qingkui Chen; Artak Amirbekyan (AAAI, 2019)

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001; Hang Gao (AAAI, 2019)

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. - Liang Hu 004; Qingkui Chen; Longbing Cao; Songlei Jian; Haiyan Zhao 002; Jian Cao 001 (IEEE Access, 2019)

STA: Adversarial Attacks on Siamese Trackers. - Xugang Wu; Xiaoping Wang; Xu Zhou; Songlei Jian (CoRR, 2019)

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. - Songlei Jian; Guansong Pang; Longbing Cao; Kai Lu 001; Hang Gao (IEEE Trans. Knowl. Data Eng., 2019)

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2020)

Rethinking Class Relations: Absolute-relative Few-shot Learning. - Hongguang Zhang; Philip H. S. Torr; Hongdong Li; Songlei Jian; Piotr Koniusz (CoRR, 2020)

CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships. - Bin Dong; Songlei Jian; Ke Zuo (Entropy, 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)

Learning Multimodal Representations by Symmetrically Transferring Local Structures. - Bin Dong; Songlei Jian; Kai Lu (Symmetry, 2020)

Script event prediction based on pre-trained model with tail event enhancement. - Zhenyu Huang; Yongjun Wang; Hongzuo Xu; Songlei Jian; Zhongyang Wang (CSAI, 2021)

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. - Hongguang Zhang; Piotr Koniusz; Songlei Jian; Hongdong Li; Philip H. S. Torr (CVPR, 2021)

Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. - Zhenyu Huang; Yongjun Wang; Hongzuo Xu; Songlei Jian (IJCNN, 2021)

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. - Hongzuo Xu; Yijie Wang 001; Songlei Jian; Zhenyu Huang; Yongjun Wang; Ning Liu 015; Fei Li (WWW, 2021)

DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. - Zhiyue Wu; Hongzuo Xu; Guansong Pang; Fengyuan Yu; Yijie Wang 001; Songlei Jian; Yongjun Wang (CoRR, 2021)

Toward security as a service: A trusted cloud service architecture with policy customization. - Chenlin Huang; Wei Chen 009; Lu Yuan; Yan Ding; Songlei Jian; Yusong Tan; Hua Chen; Dan Chen 001 (J. Parallel Distributed Comput., 2021)

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Hongzuo Xu (CIKM, 2022)

Evaluation Ranking is More Important for NAS. - Yusen Zhang 007; Bao Li 002; Yusong Tan; Songlei Jian (IJCNN, 2022)

RED: Learning the role embedding in networks via Discrete-time quantum walk. - Xin Wang 111; Songlei Jian; Kai Lu 001; Yi Zhang 097; Kai Liu (Appl. Intell., 2022)

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions. - Wei Wang 130; Songlei Jian; Yusong Tan; Qingbo Wu 003; Chenlin Huang (Comput. Secur., 2022)

LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning. - Xiaoda Xie; Songlei Jian; Chenlin Huang (CNCIT, 2023)

MRML: Multimodal Rumor Detection by Deep Metric Learning. - Liwen Peng; Songlei Jian; Dongsheng Li 001; Siqi Shen (ICASSP, 2023)

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. - Hongzuo Xu; Yijie Wang 001; Juhui Wei; Songlei Jian; Yizhou Li; Ning Liu 015 (ICML, 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 (ISSRE, 2023)

Multi-scale Recurrent LSTM and Transformer Network for Depth Completion. - Xiaogang Jia; Yusong Tan; Songlei Jian; Yonggang Che (CoRR, 2023)

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (IEEE Trans. Knowl. Data Eng., 2023)

Robust unsupervised network intrusion detection with self-supervised masked context reconstruction. - Wei Wang 130; Songlei Jian; Yusong Tan; Qingbo Wu 003; Chenlin Huang (Comput. Secur., 2023)

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. - Hongzuo Xu; Yijie Wang 001; Guansong Pang; Songlei Jian; Ning Liu 015; Yongjun Wang (Inf. Process. Manag., 2023)

MACA: Memory-aware convolution accelerating for CNN inference on edge devices. - Chaoxiong Yi; Songlei Jian; Yusong Tan; Yusen Zhang 007 (CSCWD, 2024)

DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs. - Yusen Zhang 007; Yusong Tan; Songlei Jian; Qingbo Wu 003; Kenli Li 001 (ICASSP, 2024)

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (ICDE, 2024)

DOME: Dynamic Optimization of GPU Memory for Training DNN Models with Limited Resources. - Zijun Ma; Songlei Jian; Yusong Tan (MSN, 2024)

HMO: Host Memory Optimization for Model Inference Acceleration on Edge Devices. - Chaoxiong Yi; Songlei Jian; Yusong Tan; Yusen Zhang 007 (SMC, 2024)

Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection. - Ruyi Zhang 002; Hongzuo Xu; Songlei Jian; Yusong Tan; Haifang Zhou; Rulin Xu (CoRR, 2024)

OnceNAS: Discovering efficient on-device inference neural networks for edge devices. - Yusen Zhang 007; Yunchuan Qin; Yufeng Zhang 001; Xu Zhou 001; Songlei Jian; Yusong Tan; Kenli Li 001 (Inf. Sci., 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 001 (Inf. Process. Manag., 2024)

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. - Hongzuo Xu; Yijie Wang 001; Songlei Jian; Qing Liao 001; Yongjun Wang; Guansong Pang (IEEE Trans. Knowl. Data Eng., 2024)

BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance. - Ruyi Zhang 002; Songlei Jian; Yusong Tan; Heng Gao; Haifang Zhou; Kai Lu (ACL (Findings), 2025)

Enhancing Graph Neural Networks for Graph Classification via Structure-Guided Adaptor. - Wen Yin; Yiqi Wang 001; Jiaxin Zhang 030; Yu Shi; Ruichao Ren; Songlei Jian; Jianfeng Zhang; Yan Ding (CSCWD, 2025)

Frequency-enhanced Comprehensive Dependency Attention for Time Series Anomaly Detection. - Haonan Chen; Hongzuo Xu; Songlei Jian; Ruyi Zhang 002; Xingming Li; Zibo Yi (ICASSP, 2025)

Gated Cross-Attention Network for Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang (ICASSP, 2025)

Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang; Yulin He (ICMR, 2025)

A unified multimodal classification framework based on deep metric learning. - Liwen Peng; Songlei Jian; Minne Li; Zhigang Kan; Linbo Qiao; Dongsheng Li 001 (Neural Networks, 2025)