Xiao-Bo Jin

40 papers A* 2B 1C 1Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Twin trigger generative networks for backdoor attacks against real-time object detection.
Appl. Soft Comput.
Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiao-Bo Jin
2025 — conf
Hyperbolic Structured Classification for Robust Single Positive Multi-Label Learning.
ICDM (Workshops)
Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang
2025 J jnl
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning.
CoRR
Yiming Lin, Shang Wang, Junkai Zhou, Qiufeng Wang, Xiao-Bo Jin, Kaizhu Huang
2025 — conf
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
CVPR Workshops
Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin
2025 A* conf
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning.
ICDM
Yiming Lin, Yuchen Niu, Shang Wang, Kaizhu Huang, Qiufeng Wang, Xiao-Bo Jin
2025 J jnl
Unveiling traffic paths: Explainable path signature feature-based encrypted traffic classification.
Comput. Secur.
Shi-Jie Xu, Kai-Chuan Kong, Xiao-Bo Jin, Guang-Gang Geng
2024 J jnl
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information.
CoRR
Yi-Xiang Lu, Xiao-Bo Jin, Jian Chen, Dongjie Liu, Guang-Gang Geng
2024 J jnl
STFT-TCAN: A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems.
Comput. Secur.
Fei-Fan Tu, Dongjie Liu, Zhiwei Yan, Xiao-Bo Jin, Guang-Gang Geng
2023 A* conf
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
ICDM
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
2023 J jnl
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
CoRR
Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang
2023 — conf
Petri Net-Based Multi-Module Optimization Scheduling Strategy for Combinatorial Equipment.
ICEA
Kai-Chuan Kong, Yi-Xiang Lu, Guang-Gang Geng, Xiao-Bo Jin
2023 — conf
Production Resource Scheduling for Industrial Internet Products Based on Finite State Automata and Critical Locks.
ICEA
Fei-Fan Tu, Yan-Ming Huang, Rong-Hao Hou, Dongjie Liu, Xiao-Bo Jin, Guang-Gang Geng
2022 J jnl
Seeing Traffic Paths: Encrypted Traffic Classification With Path Signature Features.
IEEE Trans. Inf. Forensics Secur.
Shi-Jie Xu, Guang-Gang Geng, Xiao-Bo Jin, Dongjie Liu, Jian Weng
2021 J jnl
An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment.
Comput. Secur.
Dongjie Liu, Guang-Gang Geng, Xiao-Bo Jin, Wei Wang
2021 J jnl
Unsupervised feature selection by non-convex regularized self-representation.
Expert Syst. Appl.
Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
2019 J jnl
An Efficient Antiphishing Method to Secure eConsume.
IEEE Consumer Electron. Mag.
Guang-Gang Geng, Zhiwei Yan, Jong-Hyouk Lee, Xiao-Bo Jin, Dongjie Liu
2019 — conf
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
ICCV Workshops
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang
2019 J jnl
Discriminant Zero-Shot Learning with Center Loss.
Cogn. Comput.
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Heling Cao, Qiu-Feng Wang
2019 J jnl
Joint Sparse Regularization for Dictionary Learning.
Cogn. Comput.
Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu
2019 J jnl
Stochastic Conjugate Gradient Algorithm With Variance Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
2018 J jnl
Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cogn. Comput.
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Amir Hussain
2018 J jnl
Approximately optimizing NDCG using pair-wise loss.
Inf. Sci.
Xiao-Bo Jin, Guang-Gang Geng, Guo-Sen Xie, Kaizhu Huang
2018 J jnl
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.
CoRR
Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao
2018 J jnl
From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning.
IEEE Access
Guo-Sen Xie, Xiao-Bo Jin, Xu-Yao Zhang, Shaofei Zang, Chunlei Yang, Zhiheng Wang, Jiexin Pu
2018 C conf
RRPhish: Anti-phishing via mining brand resources request.
ICCE
Guang-Gang Geng, Zhiwei Yan, Yu Zeng, Xiao-Bo Jin
2017 — conf
Boosting the phishing detection performance by semantic analysis.
IEEE BigData
Xi Zhang, Yu Zeng, Xiao-Bo Jin, Zhiwei Yan, Guang-Gang Geng
2017 J jnl
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering.
IEEE Access
Guo-Sen Xie, Xiao-Bo Jin, Zheng Zhang, Zhonghua Liu, Xiaowei Xue, Jiexin Pu
2017 J jnl
Stochastic Conjugate Gradient Algorithm with Variance Reduction.
CoRR
Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng
2016 J jnl
Ranking Entity Based on Both of Word Frequency and Word Sematic Features.
CoRR
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
2016 — conf
Statistical Entity Ranking with Domain Knowledge.
NLPCC/ICCPOL
Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan
2015 J jnl
Combination of multiple bipartite ranking for multipartite web content quality evaluation.
Neurocomputing
Xiao-Bo Jin, Guanggang Geng, Minghe Sun, Dexian Zhang
2013 J jnl
Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation.
CoRR
Xiao-Bo Jin, Guanggang Geng, Dexian Zhang
2013 J jnl
Evaluating Web Content Quality via Multi-scale Features
CoRR
Guanggang Geng, Xiao-Bo Jin, Xinchang Zhang, Dexian Zhang
2013 J jnl
Linear NDCG and Pair-wise Loss
CoRR
Xiao-Bo Jin, Guanggang Geng
2013 J jnl
Qualitative detection of oil adulteration with machine learning approaches
CoRR
Xiao-Bo Jin, Qiang Lu, Feng Wang, Quan-gong Huo
2012 — conf
Multi-label classification for Oil Authentication.
FSKD
Quan-gong Huo, Xiao-Bo Jin, Hong-Mei Zhang
2012 B conf
Multi-label learning vector quantization algorithm.
ICPR
Xiao-Bo Jin, Guanggang Geng, Junwei Yu, Dexian Zhang
2012 — conf
Multi-partite ranking with multi-class AdaBoost algorithm.
FSKD
Xiao-Bo Jin, Junwei Yu, Dexian Zhang, Guanggang Geng
2011 — conf
Build decision tree on support vector machine.
FSKD
Dexian Zhang, Xiao-Bo Jin
2007 — conf
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification.
FSKD (4)
Guanggang Geng, Chunheng Wang, Qiudan Li, Lei Xu, Xiao-Bo Jin