| 2026 | ACL | Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage? | Junyi Yuan, Jian Zhang, Tianxiu Yu, Yanlin Zhou, Xiaobo Jin, Qiufeng Wang, Fangyu Wu |
| 2025 | AAAI | Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. | Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang |
| 2025 | EMNLP | Can GRPO Boost Complex Multimodal Table Understanding? | Xiaoqiang Kang, Shengen Wu, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang |
| 2025 | ICDM | DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models. | Kaichuan Kong, Dongjie Liu, Xiaobo Jin, Guanggang Geng, Zhiying Li, Jian Weng |
| 2025 | ICLR | ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. | Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin |
| 2025 | MICCAI | Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval. | Shreyank N. Gowda, Xiaobo Jin, Christian Wagner |
| 2025 | TrustCom | Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition. | Kaichuan Kong, Dongjie Liu, Xiaobo Jin, Zhiying Li, Guanggang Geng |
| 2024 | ACCV | Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. | Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin |
| 2024 | ECAI | Target-driven Attack for Large Language Models. | Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin |
| 2024 | ECCV | Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. | Shreyank N. Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, Laura Sevilla-Lara |
| 2024 | ICDM | Goal-Guided Generative Prompt Injection Attack on Large Language Models. | Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin |
| 2024 | IJCNN | Multi-task Prompt Words Learning for Social Media Content Generation. | Haochen Xue, Chong Zhang, Chenzhi Liu, Fangyu Wu, Xiaobo Jin |
| 2023 | ICIP | WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. | Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu |
| 2023 | ICONIP | Image Blending Algorithm with Automatic Mask Generation. | Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin |
| 2022 | ICONIP | Towards Accurate Alignment and Sufficient Context in Scene Text Recognition. | Yijie Hu, Bin Dong, Qiufeng Wang, Lei Ding, Xiaobo Jin, Kaizhu Huang |
| 2020 | ICONIP | Multi-scale Attention Consistency for Multi-label Image Classification. | Haotian Xu, Xiaobo Jin, Qiufeng Wang, Kaizhu Huang |
| 2019 | CVPR | Attentive Region Embedding Network for Zero-Shot Learning. | Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao |
| 2018 | APCC | Resource Allocation for Energy Efficiency Maximization of Layered Multicast in SCMA Networks. | Xiaobo Jin, Xiaoxiang Wang, Dongyu Wang |
| 2010 | ICPR | Multi-class AdaBoost with Hypothesis Margin. | Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu |
| 2008 | ICPR | Prototype learning with margin-based conditional log-likelihood loss. | Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou |