Xiao-Bo Jin

Orcid: 0000-0003-1671-1379

According to our database1, Xiao-Bo Jin authored at least 81 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition.
CoRR, August, 2025

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection.
CoRR, August, 2025

DMFI: Dual-Modality Fine-Tuning and Inference Framework for LLM-Based Insider Threat Detection.
CoRR, August, 2025

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.
CoRR, August, 2025

Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach.
CoRR, June, 2025

Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs.
CoRR, June, 2025

Interpretable Zero-shot Learning with Infinite Class Concepts.
CoRR, May, 2025

Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover.
CoRR, May, 2025

A malware detection method with function parameters encoding and function dependency modeling.
PeerJ Comput. Sci., 2025

Fine-grained recognition of citrus varieties via wavelet channel attention network.
Knowl. Based Syst., 2025

Progressive Enhancement Dehazing for object detection in extreme weather.
Eng. Appl. Artif. Intell., 2025

Unveiling traffic paths: Explainable path signature feature-based encrypted traffic classification.
Comput. Secur., 2025

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

ShadowCraft-NeRF: Occlusion and Shadow Mitigation via SAM-Guided NeRF.
Proceedings of the Computer Animation and Social Agents - 38th International Conference, 2025

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
SIGKDD Explor., December, 2024

R-SNN: Region-Based Spiking Neural Network for Object Detection.
IEEE Trans. Cogn. Dev. Syst., June, 2024

Improved Feature Generating Framework for Transductive Zero-shot Learning.
CoRR, 2024

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information.
CoRR, 2024

Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection.
CoRR, 2024

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection.
CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.
CoRR, 2024

Multi-task Prompt Words Learning for Social Media Content Generation.
CoRR, 2024

Better Sampling, towards Better End-to-end Small Object Detection.
CoRR, 2024

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR, 2024

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques.
CoRR, 2024

STFT-TCAN: A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems.
Comput. Secur., 2024

Hybrid attention network for citrus disease identification.
Comput. Electron. Agric., 2024

Multi-task Prompt Words Learning for Social Media Content Generation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Goal-Guided Generative Prompt Injection Attack on Large Language Models.
Proceedings of the IEEE International Conference on Data Mining, 2024

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Target-driven Attack for Large Language Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.
Proceedings of the Computer Vision - ACCV 2024, 2024

2023
Rebalanced Zero-Shot Learning.
IEEE Trans. Image Process., 2023

Metric Learning for Projections Bias of Generalized Zero-shot Learning.
CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.
CoRR, 2023

Automatic Image Blending Algorithm Based on SAM and DINO.
CoRR, 2023

Image Blending Algorithm with Automatic Mask Generation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

WCANet: Wavelet Channel Attention Network for Citrus Variety Identification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Production Resource Scheduling for Industrial Internet Products Based on Finite State Automata and Critical Locks.
Proceedings of the 2023 International Conference on Intelligent Computing and Its Emerging Applications, 2023

Petri Net-Based Multi-Module Optimization Scheduling Strategy for Combinatorial Equipment.
Proceedings of the 2023 International Conference on Intelligent Computing and Its Emerging Applications, 2023

Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Seeing Traffic Paths: Encrypted Traffic Classification With Path Signature Features.
IEEE Trans. Inf. Forensics Secur., 2022

Sparse matrix factorization with L2, 1 norm for matrix completion.
Pattern Recognit., 2022

Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Unsupervised feature selection by non-convex regularized self-representation.
Expert Syst. Appl., 2021

An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment.
Comput. Secur., 2021

2020
Multi-scale Attention Consistency for Multi-label Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Stochastic Conjugate Gradient Algorithm With Variance Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2019

Joint Sparse Regularization for Dictionary Learning.
Cogn. Comput., 2019

Discriminant Zero-Shot Learning with Center Loss.
Cogn. Comput., 2019

An Efficient Antiphishing Method to Secure eConsume.
IEEE Consumer Electron. Mag., 2019

Power Spectrum Estimation Method Based on Matlab.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Attentive Region Embedding Network for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Approximately optimizing NDCG using pair-wise loss.
Inf. Sci., 2018

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.
CoRR, 2018

Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cogn. Comput., 2018

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput., 2018

From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning.
IEEE Access, 2018

RRPhish: Anti-phishing via mining brand resources request.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Resource Allocation for Energy Efficiency Maximization of Layered Multicast in SCMA Networks.
Proceedings of the 24th Asia-Pacific Conference on Communications, 2018

2017
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering.
IEEE Access, 2017

Boosting the phishing detection performance by semantic analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Ranking Entity Based on Both of Word Frequency and Word Sematic Features.
CoRR, 2016

Statistical Entity Ranking with Domain Knowledge.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2015
Combination of multiple bipartite ranking for multipartite web content quality evaluation.
Neurocomputing, 2015

2013
Qualitative detection of oil adulteration with machine learning approaches
CoRR, 2013

Evaluating Web Content Quality via Multi-scale Features
CoRR, 2013

Linear NDCG and Pair-wise Loss
CoRR, 2013

Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation.
CoRR, 2013

2012
Multi-label learning vector quantization algorithm.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-partite ranking with multi-class AdaBoost algorithm.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Multi-label classification for Oil Authentication.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Build decision tree on support vector machine.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Regularized margin-based conditional log-likelihood loss for prototype learning.
Pattern Recognit., 2010

Multi-class AdaBoost with Hypothesis Margin.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008
Prototype learning with margin-based conditional log-likelihood loss.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007


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