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2020 – today
- 2025
[j26]Shi-Jie Xu
, Kai-Chuan Kong, Xiao-Bo Jin, Guang-Gang Geng:
Unveiling traffic paths: Explainable path signature feature-based encrypted traffic classification. Comput. Secur. 150: 104283 (2025)- [j25]Zhiying Li, Junhao Wu, Shuyuan Lin, Zheng Wang, Xiaobo Jin, Guanggang Geng, Feiran Huang, Jian Weng:
Progressive Enhancement Dehazing for object detection in extreme weather. Eng. Appl. Artif. Intell. 155: 110903 (2025) - [j24]Kai-Chuan Kong, Xiaobo Jin, Dongjie Liu, Shijie Xu, Zhiquan Liu, Guanggang Geng:
DPI-ITD: A Dual-Perspective Information-Driven Framework for Insider Threat Detection in IoT Systems. IEEE Internet Things J. 12(19): 40731-40749 (2025) - [j23]Fukai Zhang, Xiaobo Jin, Jie Jiang, Gang Lin, Mingzhi Wang, Shan An, Qiang Lyu:
Fine-grained recognition of citrus varieties via wavelet channel attention network. Knowl. Based Syst. 311: 113128 (2025) - [j22]Rong-Hao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng:
A malware detection method with function parameters encoding and function dependency modeling. PeerJ Comput. Sci. 11: e2946 (2025) - [c30]Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang:
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. AAAI 2025: 24303-24311 - [c29]Xun Chen, Yushi Li, Yunyao Shen, Rong Chen, Chao Xu, Xiaobo Jin, Along Jin, Yu Han:
ShadowCraft-NeRF: Occlusion and Shadow Mitigation via SAM-Guided NeRF. CASA 2025: 93-108 - [c28]Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin:
Is Temporal Prompting All We Need For Limited Labeled Action Recognition? CVPR Workshops 2025: 682-692 - [c27]Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. ICLR 2025 - [i35]Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiaobo Jin:
Is Temporal Prompting All We Need For Limited Labeled Action Recognition? CoRR abs/2504.01890 (2025) - [i34]Xiaobo Jin, JiaShu Tu:
Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover. CoRR abs/2505.03217 (2025) - [i33]Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
Interpretable Zero-shot Learning with Infinite Class Concepts. CoRR abs/2505.03361 (2025) - [i32]Xiang Li, Chong Zhang, Jia Wang, Fangyu Wu, Yushi Li, Xiaobo Jin:
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs. CoRR abs/2506.17231 (2025) - [i31]Chong Zhang, Xiang Li, Jia Wang, Shan Liang, Haochen Xue, Xiaobo Jin:
Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach. CoRR abs/2506.18756 (2025) - [i30]Shreyank N. Gowda, Xiaobo Jin, Christian Wagner:
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. CoRR abs/2508.03494 (2025) - [i29]Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Guanggang Geng, Zhiying Li, Jian Weng:
DMFI: Dual-Modality Fine-Tuning and Inference Framework for LLM-Based Insider Threat Detection. CoRR abs/2508.05694 (2025) - [i28]Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng, Jian Weng:
MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection. CoRR abs/2508.05695 (2025) - [i27]Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng:
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition. CoRR abs/2508.05696 (2025) - [i26]Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin:
Performance is not All You Need: Sustainability Considerations for Algorithms. CoRR abs/2509.00045 (2025) - [i25]Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang:
Can GRPO Boost Complex Multimodal Table Understanding? CoRR abs/2509.16889 (2025) - 2024
- [j21]Fukai Zhang, Xiaobo Jin, Gang Lin, Jie Jiang, Mingzhi Wang, Shan An, Junhua Hu, Qiang Lyu:
Hybrid attention network for citrus disease identification. Comput. Electron. Agric. 220: 108907 (2024) - [j20]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: 103961 (2024) - [j19]Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du:
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. SIGKDD Explor. 26(2): 109-118 (2024) - [j18]Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma:
R-SNN: Region-Based Spiking Neural Network for Object Detection. IEEE Trans. Cogn. Dev. Syst. 16(3): 810-817 (2024) - [c26]Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin:
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. ACCV (8) 2024: 246-262 - [c25]Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin:
Target-driven Attack for Large Language Models. ECAI 2024: 1752-1759 - [c24]Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara:
Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. ECCV Workshops (22) 2024: 388-405 - [c23]Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin:
Goal-Guided Generative Prompt Injection Attack on Large Language Models. ICDM 2024: 941-946 - [c22]Haochen Xue, Chong Zhang, Chenzhi Liu, Fangyu Wu, Xiaobo Jin:
Multi-task Prompt Words Learning for Social Media Content Generation. IJCNN 2024: 1-8 - [i24]Shreyank N. Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin:
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques. CoRR abs/2401.17883 (2024) - [i23]Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin:
Goal-guided Generative Prompt Injection Attack on Large Language Models. CoRR abs/2404.07234 (2024) - [i22]Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR abs/2406.02929 (2024) - [i21]Zile Huang, Chong Zhang, Mingyu Jin, Fangyu Wu, Chengzhi Liu, Xiaobo Jin:
Better Sampling, towards Better End-to-end Small Object Detection. CoRR abs/2407.06127 (2024) - [i20]Haochen Xue, Chong Zhang, Chengzhi Liu, Fangyu Wu, Xiaobo Jin:
Multi-task Prompt Words Learning for Social Media Content Generation. CoRR abs/2407.07771 (2024) - [i19]Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang:
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. CoRR abs/2407.18957 (2024) - [i18]Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin:
Target-driven Attack for Large Language Models. CoRR abs/2411.07268 (2024) - [i17]Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiaobo Jin:
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection. CoRR abs/2411.15439 (2024) - [i16]Zhiying Li, Zhi Liu, Dongjie Liu, Shengda Zhuo, Guanggang Geng, Jian Weng, Shanxiang Lyu, Xiaobo Jin:
Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection. CoRR abs/2411.15450 (2024) - [i15]Yi-Xiang Lu, Xiao-Bo Jin, Jian Chen, Dongjie Liu, Guang-Gang Geng:
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information. CoRR abs/2412.02474 (2024) - [i14]Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang:
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. CoRR abs/2412.15594 (2024) - [i13]Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin:
Improved Feature Generating Framework for Transductive Zero-shot Learning. CoRR abs/2412.18282 (2024) - 2023
- [j17]Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang:
Rebalanced Zero-Shot Learning. IEEE Trans. Image Process. 32: 4185-4198 (2023) - [c21]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: 1163-1168 - [c20]Kai-Chuan Kong, Yi-Xiang Lu, Guang-Gang Geng, Xiao-Bo Jin:
Petri Net-Based Multi-Module Optimization Scheduling Strategy for Combinatorial Equipment. ICEA 2023: 90-95 - [c19]Fei-Fan Tu, Yan-Ming Huang, Rong-Hao Hou, Dongjie Liu, Xiao-Bo Jin, Guang-Gang Geng:
Production Resource Scheduling for Industrial Internet Products Based on Finite State Automata and Critical Locks. ICEA 2023: 115-120 - [c18]Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu:
WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. ICIP 2023: 2845-2849 - [c17]Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin:
Image Blending Algorithm with Automatic Mask Generation. ICONIP (8) 2023: 234-248 - [i12]Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin:
Automatic Image Blending Algorithm Based on SAM and DINO. CoRR abs/2306.05382 (2023) - [i11]Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang:
A Simple and Effective Baseline for Attentional Generative Adversarial Networks. CoRR abs/2306.14708 (2023) - [i10]Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin:
Metric Learning for Projections Bias of Generalized Zero-shot Learning. CoRR abs/2309.01390 (2023) - [i9]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 abs/2310.16616 (2023) - 2022
- [j16]Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang:
Sparse matrix factorization with L2, 1 norm for matrix completion. Pattern Recognit. 127: 108655 (2022) - [j15]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: 2166-2181 (2022) - [j14]Haotian Xu, Xiaobo Jin, Qiufeng Wang, Amir Hussain, Kaizhu Huang:
Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 119:1-119:15 (2022) - [c16]Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang:
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. ICONIP (3) 2022: 705-717 - [i8]Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang:
Rebalanced Zero-shot Learning. CoRR abs/2210.07031 (2022) - 2021
- [j13]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: 102421 (2021) - [j12]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: 114643 (2021) - 2020
- [c15]Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang:
Multi-scale Attention Consistency for Multi-label Image Classification. ICONIP (4) 2020: 815-823
2010 – 2019
- 2019
- [j11]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): 42-46 (2019) - [j10]Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Heling Cao, Qiu-Feng Wang:
Discriminant Zero-Shot Learning with Center Loss. Cogn. Comput. 11(4): 503-512 (2019) - [j9]Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu:
Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. 11(5): 697-710 (2019) - [j8]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): 1360-1369 (2019) - [c14]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c13]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: 2953-2962 - [c12]Xiaobo Jin, Yuwen Wang, Wenjun Hong:
Power Spectrum Estimation Method Based on Matlab. ICVISP 2019: 70:1-70:5 - 2018
- [j7]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: 69393-69406 (2018) - [j6]Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain:
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery. Cogn. Comput. 10(1): 1-2 (2018) - [j5]Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Amir Hussain:
Accelerating Infinite Ensemble of Clustering by Pivot Features. Cogn. Comput. 10(6): 1042-1050 (2018) - [j4]Xiao-Bo Jin, Guang-Gang Geng, Guo-Sen Xie, Kaizhu Huang:
Approximately optimizing NDCG using pair-wise loss. Inf. Sci. 453: 50-65 (2018) - [c11]Xiaobo Jin, Xiaoxiang Wang, Dongyu Wang:
Resource Allocation for Energy Efficiency Maximization of Layered Multicast in SCMA Networks. APCC 2018: 459-464 - [c10]Guang-Gang Geng, Zhiwei Yan, Yu Zeng, Xiao-Bo Jin:
RRPhish: Anti-phishing via mining brand resources request. ICCE 2018: 1-2 - [i7]Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao:
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. CoRR abs/1811.07626 (2018) - 2017
- [j3]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: 24895-24907 (2017) - [c9]Xi Zhang, Yu Zeng, Xiao-Bo Jin, Zhiwei Yan, Guang-Gang Geng:
Boosting the phishing detection performance by semantic analysis. IEEE BigData 2017: 1063-1070 - [i6]Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng:
Stochastic Conjugate Gradient Algorithm with Variance Reduction. CoRR abs/1710.09979 (2017) - 2016
- [c8]Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan:
Statistical Entity Ranking with Domain Knowledge. NLPCC/ICCPOL 2016: 811-818 - [i5]Xiao-Bo Jin, Guang-Gang Geng, Kaizhu Huang, Zhiwei Yan:
Ranking Entity Based on Both of Word Frequency and Word Sematic Features. CoRR abs/1608.01068 (2016) - 2015
- [j2]Xiao-Bo Jin, Guanggang Geng, Minghe Sun, Dexian Zhang:
Combination of multiple bipartite ranking for multipartite web content quality evaluation. Neurocomputing 149: 1305-1314 (2015) - 2013
- [i4]Xiao-Bo Jin, Guanggang Geng:
Linear NDCG and Pair-wise Loss. CoRR abs/1303.2417 (2013) - [i3]Guanggang Geng, Xiao-Bo Jin, Xinchang Zhang, Dexian Zhang:
Evaluating Web Content Quality via Multi-scale Features. CoRR abs/1304.6181 (2013) - [i2]Xiao-Bo Jin, Qiang Lu, Feng Wang, Quan-gong Huo:
Qualitative detection of oil adulteration with machine learning approaches. CoRR abs/1305.3149 (2013) - [i1]Xiao-Bo Jin, Guanggang Geng, Dexian Zhang:
Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation. CoRR abs/1309.3132 (2013) - 2012
- [c7]Quan-gong Huo, Xiao-Bo Jin, Hong-mei Zhang:
Multi-label classification for Oil Authentication. FSKD 2012: 711-714 - [c6]Xiao-Bo Jin, Junwei Yu, Dexian Zhang, Guanggang Geng:
Multi-partite ranking with multi-class AdaBoost algorithm. FSKD 2012: 884-887 - [c5]Xiao-Bo Jin, Guanggang Geng, Junwei Yu, Dexian Zhang:
Multi-label learning vector quantization algorithm. ICPR 2012: 2140-2143 - 2011
- [c4]Dexian Zhang, Xiao-Bo Jin:
Build decision tree on support vector machine. FSKD 2011: 997-1001 - 2010
- [j1]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognit. 43(7): 2428-2438 (2010) - [c3]Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu:
Multi-class AdaBoost with Hypothesis Margin. ICPR 2010: 65-68
2000 – 2009
- 2008
- [c2]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Prototype learning with margin-based conditional log-likelihood loss. ICPR 2008: 1-4 - 2007
- [c1]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: 583-587
Coauthor Index
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