| 2026 | AAAI | ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models. | Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao |
| 2026 | AAAI | Selection of LLM Fine-Tuning Data Based on Orthogonal Rules. | Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu |
| 2026 | AAAI | Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs. | Xiaomin Li, Zhou Yu, Ziji Zhang, Yingying Zhuang, Swair Shah, Narayanan Sadagopan, Anurag Beniwal |
| 2026 | ACL | Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios. | Xiaomin Li, Tala Wang, Zichen Zhong, Ying Zhang, Zirui Zheng, Takashi Isobe, Dezhuang Li, Huchuan Lu, You He, Xu Jia |
| 2025 | CVPR | ReNeg: Learning Negative Embedding with Reward Guidance. | Xiaomin Li, Yixuan Liu, Takashi Isobe, Xu Jia, Qinpeng Cui, Dong Zhou, Dong Li, You He, Huchuan Lu, Zhongdao Wang, Emad Barsoum |
| 2025 | ICCV | CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting. | Lei Tian, Xiaomin Li, Liqian Ma, Hao Yin, Zirui Zheng, Hefei Huang, Taiqing Li, Huchuan Lu, Xu Jia |
| 2025 | ICLR | Catastrophic Failure of LLM Unlearning via Quantization. | Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang |
| 2025 | ICML | RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF. | Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li |
| 2023 | CSCWD | Multi-granularity Text Representation and Transformer-Based Fusion Method for Visual Question Answering. | Xingang Wang, Xiaoyu Liu, Xiaomin Li, Jinan Cui |
| 2023 | IJCNN | Visual and Linguistic Double Transformer Fusion Model for Multimodal Tweet Classification. | Jinyan Zhou, Xingang Wang, Ning Liu, Xiaoyu Liu, Jiandong Lv, Xiaomin Li, Hong Zhang, Rui Cao |
| 2023 | SMC | Public Crisis Events Tweet Classification Based on Multimodal Cycle-GAN. | Jinyan Zhou, Xingang Wang, Jiandong Lv, Ning Liu, Hong Zhang, Rui Cao, Xiaoyu Liu, Xiaomin Li |
| 2023 | WACV | EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and Sparse Neural Networks. | Xiaomin Li, Ramin Nabati, Kunjan Singh, Enrique Corona, Vangelis Metsis, Armin Parchami |
| 2023 | SEKE | Reinforced Multi-modal Circulant Fusion based Transformers for Rumor Detection (S). | Xingang Wang, Xiaomin Li, Xiaoyu Liu |
| 2022 | AIME | TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network. | Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu |
| 2022 | ICONIP | Multi-level Visual Feature Enhancement Method for Visual Question Answering. | Xingang Wang, Xiaoyu Liu, Xiaomin Li, Jinan Cui, Honglu Cheng |
| 2022 | ICONIP | MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement. | Jianrong Wang, Xiaomin Li, Xuewei Li, Mei Yu, Qiang Fang, Li Liu |
| 2022 | SMC | Using ALBERT and Multi-modal Circulant Fusion for Fake News Detection. | Xingang Wang, Xiaomin Li, Xiaoyu Liu, Honglu Cheng |
| 2021 | HPCC | A Comparative Study of Time Series Data Forecasting Using Machine Learning Based on Improved Grey Model. | Yan Li, Jiaming Zhang, Yanhong Ma, Xiaomin Li, Ziang Liu, Xiaokang Zhou, Rui Zhou |
| 2019 | VTC | A Novel OFDM Equalizer for Large Doppler Shift Channel through Deep Learning. | Qisheng Huang, Chunming Zhao, Ming Jiang, Xiaomin Li, Jing Liang |
| 2016 | VRST | Virtual viewpoint synthesis using CUDA acceleration. | Li Yao, Yingdong Han, Xiaomin Li |
| 1996 | ICRA | An algebraic algorithm for workpiece localization. | Xiaomin Li, Maurice Yeung, Zexiang Li |