个人资料
个人简介王雅娴,工学博士,长安大学信息工程学院讲师。2025年6月于西安交通大学获得计算机科学与技术专业博士学位,2023.09至2024.09在新加坡南洋理工大学进行CSC公派联合培养。长期从事多模态理解与推理、多模态大模型、视觉问答等方面的研究,在IEEE TIP、IEEE TMM、IEEE TCSVT、CVPR、AAAI、SIGIR、Pattern Recognition等高水平国际会议和期刊发表论文10余篇。担任 CVPR、NeurIPS、AAAI、IEEE TNNLS、IEEE TMM 等高水平国际会议和期刊审稿人。主持国家自然科学基金青年科学基金,中国博士后科学基金面上等项目;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多个项目。 团队2027硕士名额充足,欢迎对本人研究方向感兴趣、富有科研热情的同学可通过邮箱联系! 社会职务期刊审稿人: IEEE Transactions on Image Processing (TIP) IEEE Transactions on Multimedia (TMM) IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Information Fusion 计算机科学与探索 会议审稿人: Annual Conference on Neural Information Processing Systems (NeurIPS): 2026 AAAI Conference on Artificial Intelligence (AAAI): 2025, 2026 ACM International Conference on Multimedia (ACMMM): 2026 研究领域计算机视觉,多模态理解,大模型推理,智能体,视觉问答 智慧教育,智慧医疗,智慧交通 开授课程数据结构与算法,秋季学期,54学时 科研项目主持科研项目 1. 国家自然科学基金-青年科学基金项目,2027.01-2029.12. 2. 中国博士后科学基金第79批面上资助, 2026.08-2028.08. 3. 中央高校基本科研业务费资助项目(青年教师支持项目),2026.08-2028.08. 论文1. Yaxian Wang, Bifan Wei, Yinghong Ma, et al. GeoTree: A dynamic tree-based geometry problem solver through LLM-symbolic reasoning[J]. IEEE Transactions on Multimedia, 2026. Early Access. DOI: 10.1109/TMM.2026.3651076.(CCF A类期刊, 中科院一区,IF=9.7)) 2. Yaxian Wang, Bifan Wei, Jun Liu, et al. DisAVR: Disentangled adaptive visual reasoning network for diagram question answering[J]. IEEE Transactions on Image Processing, 2023, 32: 4812-4827.(CCF A类期刊, 中科院一区, IF=13.7) 3. Yaxian Wang, Bifan Wei, Yinghong Ma, Lingling Zhang, Xudong Jiang, Henghui Ding, et al. GlFoMR: A glance-then-focus multimodal reasoning framework for diagram question answering[C]//Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2025: 1130-1140.(CCF A类会议) 4. Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu. Hierarchical alignment-enhanced adaptive grounding network for generalized referring expression comprehension[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2025, 39(8): 8042-8050.(CCF A类会议) 5. Yaxian Wang, Bifan Wei, Jun Liu, et al. Spatial-semantic collaborative graph network for textbook question answering[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(7): 3214-3228.(CCF B类期刊, 中科院一区,IF=11.1) 6. Yaxian Wang, Bifan Wei, Yinghong Ma, Xudong Jiang, Henghui Ding, Zhongmin Cai, Jun Liu. Reasoning step by step via a neural-symbolic geometry problem solver[J]. Pattern Recognition, 2025: 112261.(CCF B类期刊, 中科院一区, IF=7.6) 7. Yaxian Wang, Jun Liu, Jie Ma, et al. Dynamic dual graph networks for textbook question answering[J]. Pattern Recognition, 2023, 139: 109441.(CCF B类期刊, 中科院一区,IF=7.6) 8. Yaxian Wang, Bifan Wei, et al. Explainable visual question answering: A survey on methods, datasets and evaluation[J]. Information Fusion, 2026: 104215.(中科院一区期刊, IF=15.5) 9. Jie Ma, Jun Liu, Yaxian Wang, et al. Relation-aware Fine-grained Reasoning Network for Textbook Question Answering[J].IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 34(1): 15-27. (CCF B 类期刊, 中科院一区,IF=10.2) 10. Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, et al. E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator[C].CVPR, 2024: 13828-13837. (CCF A 类会议) 科技成果荣誉奖励工作经历 |
