苏向东，博士生导师，教授，获批内蒙古自治区杰出青年基金项目，内蒙古自治区高等学校青年科技英才，内蒙古自治区“英才兴蒙”人才，内蒙古大学高层次引进人才，腾讯“犀牛鸟精英人才”校内联合导师，内蒙古大学创新创业指导教师，国家自然科学基金评审专家，主持国家级科研项目3项、省部级重点科研项目10余项、以及多项教学改革项目和横向科研项目。获得教育部科学技术进步奖二等奖、CCF科学技术奖“科技进步杰出奖”、内蒙古自治区科技进步一等奖、中国技术市场协会金桥奖，科研成果获评文化和旅游数字化创新示范案例。在包括ACL、EMNLP、AAAI、ICCV、MM、PatternRecognition、KBS等领域高水平期刊和会议上发表学术论文80余篇，获得IMLP2025最佳论文奖、WISA2010最佳论文奖、ICDAR2025Workshop on M3RD最佳论文奖，NTCIR-8会议的IR4QA评测比赛第一名。与包括蒙特利尔大学、香港中文大学等国内外高水平院校开展了深度合作，指导3名研究生获自治区优秀毕业论文奖，获评内蒙古大学优秀研究生指导教师。担任重要SCI期刊编委和学术会议程序委员会委员。
邮 箱：cssxd@imu.edu.cn
团队主页（欢迎访问）：https://www.imu-ai.com/
研究方向：人工智能、机器学习、自然语言处理（智能对话、问答系统、知识图谱、智能写作、语义理解）、图像处理（图像去噪、图像超分、图像修复、图像分割、文字识别、文字检测）
招生计划：每年预计招收博士研究生1-2名，学术型硕士研究生3名和专业学位硕士研究生3名。
主持项目：
1. 国家自然科学基金项目(No. 62366036),2024.1-2027.12
2. 国家自然科学基金项目(No. 61762069), 2018.1-2021.12
3. 国家社会科学基金项目(No. BIX230343),2023.5-2026.05
4. 内蒙古自治区自然科学基金杰出青年基金项目(No.2025JQ010),2025.7-2028.6
5. 内蒙古教育厅“高等学校青年科技英才发展项目”,2023.07-2026.06
6. 内蒙古自治区关键技术攻关计划项目(No.2021GG0165), 2021.07-2023.12
7. 中央引导地方科技发展资金项目(No.2022ZY0198),2022.09-2025.08
8. 内蒙古自治区重点研发和成果转换计划项目(2022YFHH0077),2022.01-2024.12
9. 内蒙古自治区重点研发和成果转化计划项目(No.2025YFDZ0011),2025.6-2027.9
10. 内蒙古自治区科技重大专项项目课题(2025ZDSF0029),2025.07-2027.6
11. 内蒙古自治区自然科学基金项目（No. 2017BS0601）2017.01-2019.12
12. 科研成果转化项目, 2023.07
13. 内蒙古大学高层次人才引进项目
获奖：
1. 2022年度教育部高等学校科学研究优秀成果奖“科学技术进步奖”二等奖
2. 2024年度内蒙古自治区科技进步一等奖
3. 2020年度CCF科学技术奖”科技进步卓越奖”
4. 2024年第十二届中国技术市场协会金桥奖项目二等奖
5. 2025年内蒙古大学优秀研究生指导教师
NLP论文：
1. Zehua Duo, Jiang Li, Xiangdong Su*, Guanglai Gao, FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective, Knowledge Graph Embedding, Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2026(CCF-A 类国际学术会议)
2. Jiang Li, Xiangdong Su*, Zehua Duo, Tian Lan, Xiaotao Guo, Guanglai Gao, A mutual information perspective on knowledge graph embedding, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics(ACL), 2025(CCF-A 类国际学术会议)
3. Tian Lan, XiangdongSu*, Xu Liu, Ruirui Wang, Ke Chang, Jiang Li, Guanglai Gao, McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models, Findings of the Association for Computational Linguistics(ACL), 2025(CCF-A 类国际学术会议)
4. Jiang Li, Xiangdong Su*, Fujun Zhang, Guanglai Gao, Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals, Proceedings of the 62ndAnnual Meeting of the Association for Computational Linguistics(ACL), 2024(CCF-A 类国际学术会议)
5. Jiang Li, Xiangdong Su*, Guanglai Gao, TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics(ACL), 2023(CCF-A 类国际学术会议)
6. JiangLi, Xiangdong Su*, Xinlan Ma, Guanglai Gao, How Well Apply Simple MLP to Incomplete Utterance Rewriting? Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics(ACL), 2023(CCF-A 类国际学术会议)
7. Rong Yan, Wei Yuan, Xiangdong Su*, Ziyi Zhang, FLPA: A fast label propagation algorithm for detecting overlapping community structure, Expert Systems with Applications, 2024(SCI一区、Top期刊)
8. Jiang Li, Xiangdong Su*, Guanglai Gao, Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing(EMNLP), 2025(CCF-B 类国际学术会议)
9. Tian Lan, Jiang Li, Yemin Wang, Xu Liu, Xiangdong Su*, Guanglai Gao, F2Bench: An Open-ended Fairness Evaluation Benchmark for LLMs with Factuality Considerations,Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, (EMNLP), 2025(CCF-B 类国际学术会议)
10. Jiang Li, XiangdongSu*, Guanglai Gao, Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics,(NAACL), 2025(CCF-B 类国际学术会议)
11. Xiaotao Guo, Jiang Li, Xiangdong Su*, Fujun Zhang,C3LRSO: A Chinese Corpus for Complex Logical Reasoning in Sentence Ordering, Proceedings of the 31st International Conference on Computational Linguistics(COLING), 2025(CCF-B 类国际学术会议)
12. Fujun Zhang, Xiaoying Fan, XiangDong Su*, Guanglai Gao, RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models, Data Intelligence, 2025(SCI二区)
13. Jiang Li, Xiangdong Su*, Fujun Zhang, Guanglai Gao, TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024(CCF-B 类国际学术会议)
14. Tianxin Zhao, Yingxin Liu, Xiangdong Su*, Jiang Li, Guanglai Gao, Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024(CCF-B 类国际学术会议)
15. Fujun Zhang, Xiangdong Su*, Jiang Li, Rong Yan, Guanglai Gao, EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024(CCF-B 类国际学术会议)
16. Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong, Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models, (NAACL), 2024(CCF-B 类国际学术会议)
17. Nan Chen, Xiangdong Su, Feilong Bao, Hyperbolic Representations for Prompt Learning, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024(CCF-B 类国际学术会议)
18. Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo, APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024(CCF-B 类国际学术会议)
19. Na Liu, Xiangdong Su*, Haoran Zhang, Guanglai Gao, Feilong Bao, Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation.Proceedings of the 2020 International Conference on Computational Linguistics(COLING), 2020(CCF-B类国际学术会议, EI检索)
20. Jiang Li, Xiangdong Su*, Xinlan Ma, Guanglai Gao, QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph EmbeddingsInternational Conference on Natural Language Processing and ChineseComputing(NLPCC), 2022(CCF-C类国际学术会议)
21. Rong Yan, Jiang Li, Xiangdong Su*, Xiaoming Wang, Guanglai Gao, Boosting the Transformer with the BERT Supervision in Low-Resource Machine Translation, Applied Sciences 12 (14), 2022(SCI三区)
CV论文：
1. Xingxiang Zhou, Xiangdong Su*, Haoran Zhang, Wei Chen, Guanglai Gao,Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement,In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025(CCF-A 类国际学术会议)
2. Haoran Zhang, Xiangdong Su*, Xingxiang Zhou, Guanglai Gao, SSAN: A symbol spatial-aware network for handwritten mathematical expression recognition, Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2025(CCF-A 类国际学术会议)
3. Lei Liu, Xiangdong Su*, Guanglai Gao, Fourier Self-Adaptation for Transferring General Pretrained Models to Specific Domains, ACM MM, 2025(CCF-A 类国际学术会议)
4. Wei Chen, Xiangdong Su*, Hongxu Hou, Fine-grained Automatic Augmentation for handwritten character recognition, Pattern Recognition, 2025(SCI一区、Top期刊)
5. Qing Zhang, Jing Zhang, Xiangdong Su, Yonghe Wang, Feilong Bao, Guanglai Gao, Domain disentanglement and fusion based on hyperbolic neural networks for zero-shot sketch-based image retrieval, Information Processing and Management, 2025(SCI一区)
6. Haoran Zhang, Xiangdong Su*, Xingxiang Zhou, Guanglai Gao, MEMix Improving HMER with Diverse Formula Structure Augmentation, ICME, 2024(CCF-B 类国际学术会议)
7. Qing Zhang, Jing Zhang, Xiangdong Su*, Feilong Bao, Guanglai Gao, Contour detection network for zero-shot sketch-based image retrieval, Complex & Intelligent Systems, 2023 (SCI二区)
8. Huali Xu, Xiangdong Su*, Meng Wang, Xiang Hao, Guanglai Gao, AN EDGE INFORMATION AND MASK SHRINKING BASED IMAGE INPAINTING APPROACH. ICASSP, 2020(CCF-B类国际学术会议)
9. Huali Xu, Xiangdong Su, Meng Wang, Xiang Hao, Guanglai Gao, An edge information and mask shrinking based image inpainting approach, ICME, 2020
10. Haoran Zhang, Wei Chen, Xiangdong Su*, Hui Guo, Huali Xu. An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition, ICDAR, 2021 (CCF-C类国际学术会议)
11. Xiangdong Su*, Huali Xu, Ying Kang, Xiang Hao, Guanglai Gao, Yue Zhang, Improving text image resolution using a deep generative adversarial network for optical character recognition, International Conference on Document Analysis and Recognition (ICDAR), 2019(CCF-C类国际学术会议)
12. Xiangdong Su, Guanglai Gao*, Hongxi Wei, Feilong Bao, A knowledge-based recognition system for historical Mongolian documents, IJDAR, 2016(SCI四区)
13. Guanglai Gao, Xiangdong Su, Hongxi Wei, Yeyun Gong, Classical Mongolian words recognition in historical document,ICDAR, 2011(CCF-C类国际学术会议)
14. Zhi Chen, Yuhan Yang,Xiangdong Su*, Haoran Zhang, Xingxiang Zhou, Wei Chen,Guanglai Gao, SCANS: An Efficient Geometric Problem Solver with Content-Aware Attention and Adaptive Fusion, ICDAR 2025 Workshops on M3RD, 2025
15. Wei Chen, Xiangdong Su*, Haoran Zhang, Script-Level Word Sample Augmentation for Few-Shot Handwritten Text Recognition,International Conference on Frontiers in Handwriting Recognition(ICFHR), 2022, 316-330
16. Xiangdong Su, Huali Xu, Yue Zhang, Yanke Kang, Guanglai Gao, Batusiren, An end-to-end preprocessor based on adversiarial learning for mongolian historical document ocr, Pacific Rim International Conference on Artificial Intelligence(PRICAI), 2019(CCF-C类国际学术会议)
17. Huali Xu, Xiangdong Su*, Tongyang Liu, Pengcheng Guo, Guanglai Gao, Feilong Bao, A natural scene text extraction approach based on generative adversarial learning, International Conference on Neural Information Processing(ICONIP), 2019(CCF-C类国际学术会议)
18. Shu Li, Xiangdong Su*, Jiang Li, Fujun Zhang, Quat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood Graphs, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024(CCF-C类国际学术会议)
Med论文：
1. Lei Liu, Xiangdong Su*, Xiaoming Wang, Guanglai Gao, Convolutional masked encoder and contrastive learning for small-scale medical language-image pre-training, Biomedical Signal Processing and Control(BSPC), 2026 (SCI二区)
2. Lei Liu, Xiangdong Su*, Guanglai Gao, MedVSA: Medical Visual Spoken-Question Answering, Proceedings of the 2025 International Conference on Multimedia Retrieval(ICMR), 2025(CCF-B 类国际学术会议)
3. Xiaoming Wang, Lei Liu, Xiangdong Su*, Yuhan Yang,Guanglai Gao, Learning Frequency Adaptation for Cross-domain Medical Image Segmentation, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (CCF-B 类国际学术会议)
4. Xiaoming Wang, Lei Liu, Xiangdong Su*, Yuhan Yang, Guanglai Gao, FSAM: Fine-tuning SAM encoder and decoder for Medical Image Segmentation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024(CCF-B 类国际学术会议)
5. Lei Liu, Xiangdong Su*, Guanglai Gao, Leveraging Convolutional Models as Backbone for Medical Visual Question Answering, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024(CCF-B 类国际学术会议)
6. Lei Liu, Xiangdong Su*, Guanglai Gao, Optimizing Transformer and MLP with Hidden States Perturbation for Medical Visual Question Answering,IEEE International Conference on Bioinformatics and Biomedicine(BIBM), 2024(CCF-B 类国际学术会议)
7. Lei Liu, Xiangdong Su*, How Well Apply Multimodal Mixup and Simple MLPs Backbone to Medical Visual Question Answering,International Conference on Bioinformatics & Biomedicine(BIBM), 2022(CCF-B类国际学术会议)
8. Pengcheng Guo, Xiangdong Su*, Haoran Zhang, Meng Wang, Feilong Bao, A multi-scaled receptive field learning approach for medical image segmentation, ICASSP, 2020(CCF-B类国际学术会议)
9. Lei Liu, Xiangdong Su*, Hui Guo, Daobin Zhu, A Transformer-based Medical Visual Question Answering Model, International Conference on Pattern Recognition (ICPR), 2022(CCF-C类国际学术会议)
10. Nan Chen, Xiangdong Su*, Tongyang Liu, Qizhi Hao, Ming Wei, A benchmark dataset and case study for Chinese medical question intent classification, BMC Medical Informatics and Decision Making(BMC), 2020(SCI三区)
11. Hui Guo, Lei Liu, Xiangdong Su*, Haoran Zhang, Medical Visual Question Answering via Targeted Choice Contrast and Multimodal Entity Matching, International Conference on Neural Information Processing (ICONIP), 2022(CCF-C类国际学术会议)
12. Pengcheng Guo, Xiangdong Su*, Haoran Zhang, Feilong Bao, Mcdalnet: Multi-scale contextual dual attention learning network for medical image segmentation, International Joint Conference on Neural Networks (IJCNN), 2021(CCF-C类国际学术会议)
发明专利:
1. 基于神经网络的蒙古文命名实体识别方法及识别系统，专利号：ZL2018 1 1068703.2
2. 西里尔蒙古文和传统蒙古文双文种知识图谱构建方法，专利号：ZL2018 1 1178790.7
3. 字符级基于序列模型的蒙古文切词方法及其切词系统, 专利号：ZL 2018 1 1178809.8
学术兼职：
1. 中国中文信息学会情感计算专业委员会委员
2. 中国中文信息学会大语言模型与生成专业委员会委员
3. 中国图象图形学会文档图像分析与识别专业委员会委员
4. 中国中文信息学会民族语言文字信息专委会委员
5. 期刊会议审稿人：ACL、EMNLP、AAAI、ESWA、EAAI、Artificial Intelligence、IJDAR
6. Data Intelligence期刊Associate Editor
研究生深造：
1. 2018级3人读博：郝翔（香港理工大学）、徐华丽（奥卢大学）、郭鹏程（西安交通大学）
2. 2019级2人直博：张皓然、陈楠
3. 2020级3人直博：李江、陈伟、李源；2020级1人申请考核转博：郜振杰
4. 2021级1人直博：刘磊
5. 2022级1人直博：周兴祥
6. 2023级1人直博：多泽华
