Xiao-Bo Jin

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 22

Top Topics

Feature Representations

Top Venues

Publications

Fei-Fan Tu, Dongjie Liu, Zhiwei Yan, Xiao-Bo Jin, Guang-Gang Geng
STFT-TCAN: A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems. Comput. Secur. 144 (2024)
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. CoRR (2023)
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. ICDM (2023)
Shi-Jie Xu, Guang-Gang Geng, Xiao-Bo Jin, Dongjie Liu, Jian Weng
Seeing Traffic Paths: Encrypted Traffic Classification With Path Signature Features. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. 173 (2021)
Dongjie Liu, Guang-Gang Geng, Xiao-Bo Jin, Wei Wang
An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment. Comput. Secur. 110 (2021)
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. ICCV Workshops (2019)
Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu
Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. 11 (5) (2019)
Guang-Gang Geng, Zhiwei Yan, Jong-Hyouk Lee, Xiao-Bo Jin, Dongjie Liu
An Efficient Antiphishing Method to Secure eConsume. IEEE Consumer Electron. Mag. 8 (6) (2019)
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Heling Cao, Qiu-Feng Wang
Discriminant Zero-Shot Learning with Center Loss. Cogn. Comput. 11 (4) (2019)
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
Stochastic Conjugate Gradient Algorithm With Variance Reduction. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Xiao-Bo Jin, Guang-Gang Geng, Guo-Sen Xie, Kaizhu Huang
Approximately optimizing NDCG using pair-wise loss. Inf. Sci. 453 (2018)
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Amir Hussain
Accelerating Infinite Ensemble of Clustering by Pivot Features. Cogn. Comput. 10 (6) (2018)
Guo-Sen Xie, Xiao-Bo Jin, Xu-Yao Zhang, Shaofei Zang, Chunlei Yang, Zhiheng Wang, Jiexin Pu
From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning. IEEE Access 6 (2018)
Guang-Gang Geng, Zhiwei Yan, Yu Zeng, Xiao-Bo Jin
RRPhish: Anti-phishing via mining brand resources request. ICCE (2018)
Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. CoRR (2018)
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
Stochastic Conjugate Gradient Algorithm with Variance Reduction. CoRR (2017)
Xi Zhang, Yu Zeng, Xiao-Bo Jin, Zhiwei Yan, Guang-Gang Geng
Boosting the phishing detection performance by semantic analysis. IEEE BigData (2017)
Guo-Sen Xie, Xiao-Bo Jin, Zheng Zhang, Zhonghua Liu, Xiaowei Xue, Jiexin Pu
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering. IEEE Access 5 (2017)
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
Ranking Entity Based on Both of Word Frequency and Word Sematic Features. CoRR (2016)
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
Statistical Entity Ranking with Domain Knowledge. NLPCC/ICCPOL (2016)
Xiao-Bo Jin, Guanggang Geng, Minghe Sun, Dexian Zhang
Combination of multiple bipartite ranking for multipartite web content quality evaluation. Neurocomputing 149 (2015)
Xiao-Bo Jin, Guanggang Geng
Linear NDCG and Pair-wise Loss CoRR (2013)
Xiao-Bo Jin, Guanggang Geng, Dexian Zhang
Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation. CoRR (2013)
Guanggang Geng, Xiao-Bo Jin, Xinchang Zhang, Dexian Zhang
Evaluating Web Content Quality via Multi-scale Features CoRR (2013)
Xiao-Bo Jin, Qiang Lu, Feng Wang, Quan-gong Huo
Qualitative detection of oil adulteration with machine learning approaches CoRR (2013)
Xiao-Bo Jin, Guanggang Geng, Junwei Yu, Dexian Zhang
Multi-label learning vector quantization algorithm. ICPR (2012)
Quan-gong Huo, Xiao-Bo Jin, Hong-mei Zhang
Multi-label classification for Oil Authentication. FSKD (2012)
Xiao-Bo Jin, Junwei Yu, Dexian Zhang, Guanggang Geng
Multi-partite ranking with multi-class AdaBoost algorithm. FSKD (2012)
Dexian Zhang, Xiao-Bo Jin
Build decision tree on support vector machine. FSKD (2011)
Guanggang Geng, Chunheng Wang, Qiudan Li, Lei Xu, Xiao-Bo Jin
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification. FSKD (4) (2007)