个人资料
个人简介工学博士,讲师。主要研究领域为图像理解、小样本学习、多模态学习等。2023年在西安交通大学获得计算机科学与技术专业博士学位,2021.12至2023.1在新加坡国立大学进行为期一年的CSC公派联合培养,指导老师为Yang YOU教授。参与国家重点研发计划、国家自然科学基金原创探索计划项目等,在《IEEE TIP》、《AAAI》、《IJCAI》、《Neural Computation》、《WSDM》等期刊会议发表论文10余篇。中国人工智能学会会员、TNNLS期刊审稿人。 社会职务研究领域图像理解、小样本学习、多模态学习、视觉感知 开授课程科研项目【主持】 1、国家自然科学基金青年项目,面向教学示意图的小样本问题生成方法研究(62407007),2025.01-2027.12 2、长安大学中央高校基本科研业务费专项资金资助项目,小样本场景下跨媒体教科书知识检索方法研究(300102404105) 3、教师思想政治和师德师风建设研究课题,数智引领:青年教师实践创新方法研究 【参与】 1、长安大学中央高校基本科研业务费专项资金资助项目,面向社交媒体复杂场景的多模态恶意威胁防御方法研究(300102404301) 2、国家重点研发计划课题,跨媒体教学资源的智能聚合与精准导学研究(2022YFC3303603),2022.10-2025.10 3、科技创新 2030“新一代人工智能”重大项目,混合增强在线教育关键技术与系统研究(2020AAA0108800),2021.01-2023.12 4、国家重点研发计划“云计算和大数据”重点专项,教育大数据分析挖掘技术及其智慧教育示范应用(2018YFB1004500),2018.05-2021.04 论文【2023年度】 [1] Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu. Gptr: Gestalt-perception transformer for diagram object detection[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(1): 899-907. (CCF A类会议) [2] Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang. Diagram visual grounding: learning to see with gestalt-perceptual attention[C]//Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023: 837-845. (CCF A类会议) 【2022年度】 [1] Shaowei Wang, Linging Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu, Computer science diagram understanding with topology parsing[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, 16(6): 1-20. (CCF B类期刊) [2] Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu and Qianying Wang. Inductive relation prediction with logical reasoning using contrastive representations[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022: 4261-4274.(CCF B类会议) 【2021年度】 [1] Xin Hu, Lingling Zhang, Jun Liu, Qinghua Zheng, Jianlong Zhou. Fs-DSM: Few-shot diagram-sentence matching via cross-modal attention graph model[J]. IEEE Transactions on Image Processing, 2021, 30: 8102-8115. (中科院一区,IF: 11.041) [2] Shaowei Wang, Lingling Zhang, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu. CSDQA: Diagram Question Answering in Computer Science[C]//Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction: 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings 6. Springer Singapore, 2021: 274-280. (最佳资源论文奖) [3] Qika Lin; Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng, Contrastive Graph Representations for Logical Formulas Embedding, IEEE TKDE, 2021, 35(4): 3563-3574. (CCF A类期刊) [4] Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. Rule-enhanced iterative complementation for knowledge graph reasoning[J]. Information Sciences, 2021, 575: 66-79. (CCF B类期刊) 【2020年度】 [1] Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang. Fine-grained 3D-Attention Prototypes for Few-Shot Learning, Neural Computation, 2020, 32(9): 1664-1684. (CCF B类期刊) [2] Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun and Qika Lin. Jointly optimized neural coreference resolution with mutual attention[C]//Proceedings of the 13th International Conference on Web Search and Data Mining. 2020: 402-410. (CCF B类会议) 科技成果荣誉奖励工作经历 |