Xiaobo Jin

65 papers A* 6A 2B 5C 1Journal 42Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A benchmark and method for photographed table reasoning.
Pattern Recognit.
Xiaoqiang Kang, Zimu Wang, Xiaochen Zi, Xiaobo Jin, Kaizhu Huang, Fei Yin, Qiufeng Wang
2026 J jnl
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
CoRR
Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2026 J jnl
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
IEEE Trans. Image Process.
Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2026 J jnl
Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention.
CoRR
Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Shijie Xu, Guanggang Geng
2025 J jnl
A malware detection method with function parameters encoding and function dependency modeling.
PeerJ Comput. Sci.
Rong-Hao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng
2025 J jnl
Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover.
CoRR
Xiaobo Jin, JiaShu Tu
2025 A* conf
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP
Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang
2025 J jnl
Can GRPO Boost Complex Multimodal Table Understanding?
CoRR
Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang
2025 A* conf
DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models.
ICDM
Kaichuan Kong, Dongjie Liu, Xiaobo Jin, Guanggang Geng, Zhiying Li, Jian Weng
2025 J jnl
DMFI: Dual-Modality Fine-Tuning and Inference Framework for LLM-Based Insider Threat Detection.
CoRR
Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Guanggang Geng, Zhiying Li, Jian Weng
2025 J jnl
DPI-ITD: A Dual-Perspective Information-Driven Framework for Insider Threat Detection in IoT Systems.
IEEE Internet Things J.
Kai-Chuan Kong, Xiaobo Jin, Dongjie Liu, Shijie Xu, Zhiquan Liu, Guanggang Geng
2025 J jnl
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs.
CoRR
Xiang Li, Chong Zhang, Jia Wang, Fangyu Wu, Yushi Li, Xiaobo Jin
2025 J jnl
Fine-grained recognition of citrus varieties via wavelet channel attention network.
Knowl. Based Syst.
Fukai Zhang, Xiaobo Jin, Jie Jiang, Gang Lin, Mingzhi Wang, Shan An, Qiang Lyu
2025 J jnl
Interpretable Zero-shot Learning with Infinite Class Concepts.
CoRR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2025 J jnl
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
CoRR
Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiaobo Jin
2025 B conf
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition.
TrustCom
Kaichuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng
2025 J jnl
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition.
CoRR
Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng
2025 J jnl
MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection.
CoRR
Kai-Chuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng, Jian Weng
2025 — conf
Performance is not All You Need: Sustainability Considerations for Algorithms.
PRCV (12)
Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin
2025 J jnl
Performance is not All You Need: Sustainability Considerations for Algorithms.
CoRR
Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin
2025 J jnl
Progressive Enhancement Dehazing for object detection in extreme weather.
Eng. Appl. Artif. Intell.
Zhiying Li, Junhao Wu, Shuyuan Lin, Zheng Wang, Xiaobo Jin, Guanggang Geng, Feiran Huang, Jian Weng
2025 — conf
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.
iMIMIC@MICCAI
Shreyank N. Gowda, Xiaobo Jin, Christian Wagner
2025 J jnl
Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval.
CoRR
Shreyank N. Gowda, Xiaobo Jin, Christian Wagner
2025 J jnl
Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach.
CoRR
Chong Zhang, Xiang Li, Jia Wang, Shan Liang, Haochen Xue, Xiaobo Jin
2025 — conf
ShadowCraft-NeRF: Occlusion and Shadow Mitigation via SAM-Guided NeRF.
CASA
Xun Chen, Yushi Li, Yunyao Shen, Rong Chen, Chao Xu, Xiaobo Jin, Along Jin, Yu Han
2025 A* conf
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
AAAI
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang
2025 A conf
Twin Progressive Generative Adversarial Network For High-Resolution Image Inpainting.
ICME
Zhiying Li, Weibin Chen, Zhaoxin Fan, Kaichuan Kong, Xiaobo Jin, Guanggang Geng
2025 A* conf
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning.
ICLR
Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 J jnl
Better Sampling, towards Better End-to-end Small Object Detection.
CoRR
Zile Huang, Chong Zhang, Mingyu Jin, Fangyu Wu, Chengzhi Liu, Xiaobo Jin
2024 — conf
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.
ACCV (8)
Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin
2024 J jnl
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
2024 A* conf
Goal-Guided Generative Prompt Injection Attack on Large Language Models.
ICDM
Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin
2024 J jnl
Goal-guided Generative Prompt Injection Attack on Large Language Models.
CoRR
Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin
2024 J jnl
Hybrid attention network for citrus disease identification.
Comput. Electron. Agric.
Fukai Zhang, Xiaobo Jin, Gang Lin, Jie Jiang, Mingzhi Wang, Shan An, Junhua Hu, Qiang Lyu
2024 J jnl
Improved Feature Generating Framework for Transductive Zero-shot Learning.
CoRR
Zihan Ye, Xinyuan Ru, Shiming Chen, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
2024 B conf
Multi-task Prompt Words Learning for Social Media Content Generation.
IJCNN
Haochen Xue, Chong Zhang, Chenzhi Liu, Fangyu Wu, Xiaobo Jin
2024 J jnl
Multi-task Prompt Words Learning for Social Media Content Generation.
CoRR
Haochen Xue, Chong Zhang, Chengzhi Liu, Fangyu Wu, Xiaobo Jin
2024 J jnl
R-SNN: Region-Based Spiking Neural Network for Object Detection.
IEEE Trans. Cogn. Dev. Syst.
Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma
2024 J jnl
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques.
CoRR
Shreyank N. Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin
2024 A conf
Target-driven Attack for Large Language Models.
ECAI
Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024 J jnl
Target-driven Attack for Large Language Models.
CoRR
Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024 J jnl
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.
CoRR
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang
2024 J jnl
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
SIGKDD Explor.
Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du
2024 J jnl
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection.
CoRR
Zhiying Li, Zhi Liu, Guanggang Geng, Shreyank N. Gowda, Shuyuan Lin, Jian Weng, Xiaobo Jin
2024 J jnl
Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection.
CoRR
Zhiying Li, Zhi Liu, Dongjie Liu, Shengda Zhuo, Guanggang Geng, Jian Weng, Shanxiang Lyu, Xiaobo Jin
2024 — conf
Watt for What: Rethinking Deep Learning's Energy-Performance Relationship.
ECCV Workshops (22)
Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara
2024 J jnl
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.
CoRR
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
2023 J jnl
A Simple and Effective Baseline for Attentional Generative Adversarial Networks.
CoRR
Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang
2023 J jnl
Automatic Image Blending Algorithm Based on SAM and DINO.
CoRR
Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin
2023 — conf
Image Blending Algorithm with Automatic Mask Generation.
ICONIP (8)
Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin
2023 J jnl
Metric Learning for Projections Bias of Generalized Zero-shot Learning.
CoRR
Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin
2023 J jnl
Rebalanced Zero-Shot Learning.
IEEE Trans. Image Process.
Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang
2023 B conf
WCANet: Wavelet Channel Attention Network for Citrus Variety Identification.
ICIP
Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu
2022 J jnl
Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Haotian Xu, Xiaobo Jin, Qiufeng Wang, Amir Hussain, Kaizhu Huang
2022 J jnl
Rebalanced Zero-shot Learning.
CoRR
Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang
2022 J jnl
Sparse matrix factorization with L2, 1 norm for matrix completion.
Pattern Recognit.
Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang
2022 — conf
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.
ICONIP (3)
Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang
2020 — conf
Multi-scale Attention Consistency for Multi-label Image Classification.
ICONIP (4)
Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang
2019 A* conf
Attentive Region Embedding Network for Zero-Shot Learning.
CVPR
Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao
2019 — conf
Power Spectrum Estimation Method Based on Matlab.
ICVISP
Xiaobo Jin, Yuwen Wang, Wenjun Hong
2018 C conf
Resource Allocation for Energy Efficiency Maximization of Layered Multicast in SCMA Networks.
APCC
Xiaobo Jin, Xiaoxiang Wang, Dongyu Wang
2018 J jnl
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput.
Kaizhu Huang, Rui Zhang, Xiaobo Jin, Amir Hussain
2010 B conf
Multi-class AdaBoost with Hypothesis Margin.
ICPR
Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu
2010 J jnl
Regularized margin-based conditional log-likelihood loss for prototype learning.
Pattern Recognit.
Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou
2008 B conf
Prototype learning with margin-based conditional log-likelihood loss.
ICPR
Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou