Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification. - Guanggang Geng; Chunheng Wang; Qiudan Li; Lei Xu; Xiao-Bo Jin (FSKD (4), 2007)

Prototype learning with margin-based conditional log-likelihood loss. - Xiaobo Jin; Cheng-Lin Liu 001; Xinwen Hou (ICPR, 2008)

Multi-class AdaBoost with Hypothesis Margin. - Xiaobo Jin; Xinwen Hou; Cheng-Lin Liu 001 (ICPR, 2010)

Regularized margin-based conditional log-likelihood loss for prototype learning. - Xiaobo Jin; Cheng-Lin Liu 001; Xinwen Hou (Pattern Recognit., 2010)

Build decision tree on support vector machine. - Dexian Zhang; Xiao-Bo Jin (FSKD, 2011)

Multi-label classification for Oil Authentication. - Quan-gong Huo; Xiao-Bo Jin; Hong-mei Zhang (FSKD, 2012)

Multi-partite ranking with multi-class AdaBoost algorithm. - Xiao-Bo Jin; Junwei Yu; Dexian Zhang; Guanggang Geng (FSKD, 2012)

Multi-label learning vector quantization algorithm. - Xiao-Bo Jin; Guanggang Geng; Junwei Yu; Dexian Zhang (ICPR, 2012)

Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation. - Xiao-Bo Jin; Guanggang Geng; Dexian Zhang (CoRR, 2013)

Linear NDCG and Pair-wise Loss - Xiao-Bo Jin; Guanggang Geng (CoRR, 2013)

Evaluating Web Content Quality via Multi-scale Features - Guanggang Geng; Xiao-Bo Jin; Xinchang Zhang 001; Dexian Zhang (CoRR, 2013)

Qualitative detection of oil adulteration with machine learning approaches - Xiao-Bo Jin; Qiang Lu; Feng Wang; Quan-gong Huo (CoRR, 2013)

Combination of multiple bipartite ranking for multipartite web content quality evaluation. - Xiao-Bo Jin; Guanggang Geng; Minghe Sun; Dexian Zhang (Neurocomputing, 2015)

Statistical Entity Ranking with Domain Knowledge. - Xiao-Bo Jin; Guang-Gang Geng; Kaizhu Huang; Zhiwei Yan (NLPCC/ICCPOL, 2016)

Ranking Entity Based on Both of Word Frequency and Word Sematic Features. - Xiao-Bo Jin; Guang-Gang Geng; Kaizhu Huang; Zhiwei Yan (CoRR, 2016)

Boosting the phishing detection performance by semantic analysis. - Xi Zhang; Yu Zeng; Xiao-Bo Jin; Zhiwei Yan; Guang-Gang Geng (IEEE BigData, 2017)

Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering. - Guo-Sen Xie; Xiao-Bo Jin; Zheng Zhang 006; Zhonghua Liu; Xiaowei Xue; Jiexin Pu (IEEE Access, 2017)

Resource Allocation for Energy Efficiency Maximization of Layered Multicast in SCMA Networks. - Xiaobo Jin; Xiaoxiang Wang; Dongyu Wang (APCC, 2018)

RRPhish: Anti-phishing via mining brand resources request. - Guang-Gang Geng; Zhiwei Yan; Yu Zeng; Xiao-Bo Jin (ICCE, 2018)

From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning. - Guo-Sen Xie; Xiao-Bo Jin; Xu-Yao Zhang; Shaofei Zang; Chunlei Yang; Zhiheng Wang; Jiexin Pu (IEEE Access, 2018)

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. - Kaizhu Huang; Rui Zhang 012; Xiaobo Jin; Amir Hussain 001 (Cogn. Comput., 2018)

Accelerating Infinite Ensemble of Clustering by Pivot Features. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Amir Hussain 001 (Cogn. Comput., 2018)

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. - Xiao-Bo Jin; Kaizhu Huang; Jianyu Miao (CoRR, 2018)

Approximately optimizing NDCG using pair-wise loss. - Xiao-Bo Jin; Guang-Gang Geng; Guo-Sen Xie; Kaizhu Huang (Inf. Sci., 2018)

Attentive Region Embedding Network for Zero-Shot Learning. - Guo-Sen Xie; Li Liu 004; Xiaobo Jin; Fan Zhu 001; Zheng Zhang 006; Jie Qin; Yazhou Yao; Ling Shao 001 (CVPR, 2019)

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Jianyu Miao; Qiufeng Wang 001 (ICCV Workshops, 2019)

Power Spectrum Estimation Method Based on Matlab. - Xiaobo Jin; Yuwen Wang; Wenjun Hong (ICVISP, 2019)

An Efficient Antiphishing Method to Secure eConsume. - Guang-Gang Geng; Zhiwei Yan; Jong-Hyouk Lee; Xiao-Bo Jin; Dongjie Liu (IEEE Consumer Electron. Mag., 2019)

Discriminant Zero-Shot Learning with Center Loss. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Heling Cao; Qiu-Feng Wang 001 (Cogn. Comput., 2019)

Joint Sparse Regularization for Dictionary Learning. - Jianyu Miao; Heling Cao; Xiao-Bo Jin; Rongrong Ma; Xuan Fei; Lingfeng Niu (Cogn. Comput., 2019)

Stochastic Conjugate Gradient Algorithm With Variance Reduction. - Xiao-Bo Jin; Xu-Yao Zhang; Kaizhu Huang; Guang-Gang Geng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-scale Attention Consistency for Multi-label Image Classification. - Haotian Xu; Xiaobo Jin; Qiufeng Wang 001; Kaizhu Huang (ICONIP (4), 2020)

An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment. - Dongjie Liu; Guang-Gang Geng; Xiao-Bo Jin; Wei Wang 083 (Comput. Secur., 2021)

Unsupervised feature selection by non-convex regularized self-representation. - Jianyu Miao; Yuan Ping; Zhensong Chen 001; Xiao-Bo Jin; Peijia Li; Lingfeng Niu (Expert Syst. Appl., 2021)

Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. - Yijie Hu; Bin Dong 003; Qiufeng Wang 001; Lei Ding 012; Xiaobo Jin; Kaizhu Huang (ICONIP (3), 2022)

Sparse matrix factorization with L2, 1 norm for matrix completion. - Xiaobo Jin; Jianyu Miao; Qiufeng Wang 001; Guanggang Geng; Kaizhu Huang (Pattern Recognit., 2022)

Seeing Traffic Paths: Encrypted Traffic Classification With Path Signature Features. - Shi-Jie Xu; Guang-Gang Geng; Xiao-Bo Jin; Dongjie Liu; Jian Weng 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. - Haotian Xu; Xiaobo Jin; Qiufeng Wang 001; Amir Hussain 001; Kaizhu Huang (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. - Yiming Lin; Xiao-Bo Jin; Qiufeng Wang 001; Kaizhu Huang (ICDM, 2023)

Petri Net-Based Multi-Module Optimization Scheduling Strategy for Combinatorial Equipment. - Kai-Chuan Kong; Yi-Xiang Lu; Guang-Gang Geng; Xiao-Bo Jin (ICEA, 2023)

Production Resource Scheduling for Industrial Internet Products Based on Finite State Automata and Critical Locks. - Fei-Fan Tu; Yan-Ming Huang; Rong-Hao Hou; Dongjie Liu; Xiao-Bo Jin; Guang-Gang Geng (ICEA, 2023)

WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. - Fukai Zhang; Xiaobo Jin; Jie Jiang; Shan An; Qiang Lyu (ICIP, 2023)

Image Blending Algorithm with Automatic Mask Generation. - Haochen Xue; Mingyu Jin; Chong Zhang 006; Yuxuan Huang; Qian Weng; Xiaobo Jin (ICONIP (8), 2023)

Automatic Image Blending Algorithm Based on SAM and DINO. - Haochen Xue; Mingyu Jin; Chong Zhang 006; Yuxuan Huang; Qian Weng; Xiaobo Jin (CoRR, 2023)

A Simple and Effective Baseline for Attentional Generative Adversarial Networks. - Mingyu Jin; Chong Zhang 006; Qinkai Yu; Haochen Xue; Xiaobo Jin; Xi Yang (CoRR, 2023)

Metric Learning for Projections Bias of Generalized Zero-shot Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Xiaobo Jin (CoRR, 2023)

Rebalanced Zero-Shot Learning. - Zihan Ye; Guanyu Yang 002; Xiaobo Jin; Youfa Liu; Kaizhu Huang (IEEE Trans. Image Process., 2023)

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Shreyank N. Gowda; Xiaobo Jin (ACCV (8), 2024)

Target-driven Attack for Large Language Models. - Chong Zhang 006; Mingyu Jin; Dong Shu; Taowen Wang; Dongfang Liu; Xiaobo Jin (ECAI, 2024)

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Shashank Narayana Gowda; Xiaobo Jin; Laura Sevilla-Lara (ECCV Workshops (22), 2024)

Goal-Guided Generative Prompt Injection Attack on Large Language Models. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Chengzhi Liu; Haochen Xue; Xiaobo Jin (ICDM, 2024)

Multi-task Prompt Words Learning for Social Media Content Generation. - Haochen Xue; Chong Zhang 006; Chenzhi Liu; Fangyu Wu 001; Xiaobo Jin (IJCNN, 2024)

Hybrid attention network for citrus disease identification. - Fukai Zhang; Xiaobo Jin; Gang Lin; Jie Jiang; Mingzhi Wang; Shan An; Junhua Hu; Qiang Lyu (Comput. Electron. Agric., 2024)

STFT-TCAN: A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems. - Fei-Fan Tu; Dongjie Liu; Zhiwei Yan; Xiao-Bo Jin; Guang-Gang Geng (Comput. Secur., 2024)

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques. - Shreyank N. Gowda; Yash Thakre; Shashank Narayana Gowda; Xiaobo Jin (CoRR, 2024)

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. - Zihan Ye; Shreyank N. Gowda; Xiaobo Jin; Xiaowei Huang 001; Haotian Xu; Yaochu Jin; Kaizhu Huang (CoRR, 2024)

Better Sampling, towards Better End-to-end Small Object Detection. - Zile Huang; Chong Zhang 006; Mingyu Jin; Fangyu Wu 001; Chengzhi Liu; Xiaobo Jin (CoRR, 2024)

Multi-task Prompt Words Learning for Social Media Content Generation. - Haochen Xue; Chong Zhang 006; Chengzhi Liu; Fangyu Wu 001; Xiaobo Jin (CoRR, 2024)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. - Chong Zhang 006; Xinyi Liu; Mingyu Jin; Zhongmou Zhang; Lingyao Li; Zhenting Wang; Wenyue Hua; Dong Shu; Suiyuan Zhu; Xiaobo Jin; Sujian Li; Mengnan Du; et al. (CoRR, 2024)

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection. - Zhiying Li 003; Zhi Liu; Guanggang Geng; Shreyank N. Gowda; Shuyuan Lin; Jian Weng 001; Xiaobo Jin (CoRR, 2024)

Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection. - Zhiying Li 003; Zhi Liu; Dongjie Liu; Shengda Zhuo; Guanggang Geng; Jian Weng 001; Shanxiang Lyu; Xiaobo Jin (CoRR, 2024)

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information. - Yi-Xiang Lu; Xiao-Bo Jin; Jian Chen; Dongjie Liu; Guang-Gang Geng (CoRR, 2024)

Improved Feature Generating Framework for Transductive Zero-shot Learning. - Zihan Ye; Xinyuan Ru; Shiming Chen 002; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (CoRR, 2024)

R-SNN: Region-Based Spiking Neural Network for Object Detection. - Xiaobo Jin; Ming Zhang 018; Rui Yan 005; Gang Pan 001; De Ma (IEEE Trans. Cogn. Dev. Syst., 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Hua Tang; Chong Zhang 006; Mingyu Jin; Qinkai Yu; Zhenting Wang; Xiaobo Jin; Yongfeng Zhang; Mengnan Du (SIGKDD Explor., 2024)

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. - Xiaoqiang Kang; Zimu Wang; Xiaobo Jin; Wei Wang 042; Kaizhu Huang; Qiufeng Wang 001 (AAAI, 2025)

ShadowCraft-NeRF: Occlusion and Shadow Mitigation via SAM-Guided NeRF. - Xun Chen; Yushi Li; Yunyao Shen; Rong Chen; Chao Xu; Xiaobo Jin; Along Jin; Yu Han (CASA, 2025)

Is Temporal Prompting All We Need For Limited Labeled Action Recognition? - Shreyank N. Gowda; Boyan Gao; Xiao Gu 003; Xiao-Bo Jin (CVPR Workshops, 2025)

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Xiaowei Huang 001; Haotian Xu; Fahad Shahbaz Khan; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (ICLR, 2025)

Unveiling traffic paths: Explainable path signature feature-based encrypted traffic classification. - Shi-Jie Xu; Kai-Chuan Kong; Xiao-Bo Jin; Guang-Gang Geng (Comput. Secur., 2025)

Progressive Enhancement Dehazing for object detection in extreme weather. - Zhiying Li 003; Junhao Wu; Shuyuan Lin; Zheng Wang 013; Xiaobo Jin; Guanggang Geng; Feiran Huang; Jian Weng 001 (Eng. Appl. Artif. Intell., 2025)

Fine-grained recognition of citrus varieties via wavelet channel attention network. - Fukai Zhang; Xiaobo Jin; Jie Jiang; Gang Lin; Mingzhi Wang; Shan An; Qiang Lyu (Knowl. Based Syst., 2025)

A malware detection method with function parameters encoding and function dependency modeling. - Rong-Hao Hou; Dongjie Liu; Xiaobo Jin; Jian Weng 001; Guanggang Geng (PeerJ Comput. Sci., 2025)

Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover. - Xiaobo Jin; JiaShu Tu (CoRR, 2025)

Interpretable Zero-shot Learning with Infinite Class Concepts. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (CoRR, 2025)

Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs. - Xiang Li; Chong Zhang 006; Jia Wang; Fangyu Wu 001; Yushi Li; Xiaobo Jin (CoRR, 2025)

Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach. - Chong Zhang 006; Xiang Li; Jia Wang; Shan Liang; Haochen Xue; Xiaobo Jin (CoRR, 2025)

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. - Shreyank N. Gowda; Xiaobo Jin; Christian Wagner (CoRR, 2025)

DMFI: Dual-Modality Fine-Tuning and Inference Framework for LLM-Based Insider Threat Detection. - Kai-Chuan Kong; Dongjie Liu; Xiaobo Jin; Guanggang Geng; Zhiying Li 003; Jian Weng 001 (CoRR, 2025)

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection. - Kai-Chuan Kong; Dongjie Liu; Xiaobo Jin; Zhiying Li 003; Guanggang Geng; Jian Weng 001 (CoRR, 2025)

Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition. - Kai-Chuan Kong; Dongjie Liu; Xiaobo Jin; Zhiying Li 003; Guanggang Geng (CoRR, 2025)