个人资料
个人简介赵祎涵,工学博士,讲师,博士毕业于西安交通大学计算机科学与技术学院。主要研究方向包括多模态学习、计算机视觉等。近年来在 ACM MM、IJCAI、AAAI 等人工智能领域高水平国际会议发表多篇论文,并担任 TOMM、KBS、AAAI 等期刊与会议审稿人。曾参与国家重点研发计划、国家自然科学基金等科研项目。 社会职务研究领域开授课程科研项目论文[1] Yihan Zhao, Wei Xi, Yuhang Cui, Gairui Bai, Xinhui Liu, Jizhong Zhao. CoPL: Parameter-Efficient Collaborative Prompt Learning for Audio-Visual Tasks. ACM MM 2024. [2] Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao. Enhancing Multimodal Model Robustness under Missing Modalities via Memory-Driven Prompt Learning. IJCAI 2025. [3] Yihan Zhao, Wei Xi, Gairui Bai, Xinhui Liu, Jizhong Zhao. Heterogeneous Interactive Graph Network for Audio Visual Question Answering. Knowledge-Based Systems, 2024. [4] Yihan Zhao, Wei Xi, Gairui Bai, Xinhui Liu, Jizhong Zhao. Robust Contrastive Learning against Audio-Visual Noisy Correspondence. PRCV, 2024. [5] Bai G, Wei Xi, Yihan Zhao, et al. Attention Shifting to Pursue Optimal Representation for Adapting Multi-Granularity Tasks. IJCAI, 2024. [6] Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Yihan Zhao, Jizhong Zhao. Ufda: Universal Federated Domain Adaptation with Practical Assumptions. AAAI, 2024. [7] Yuxin Yang, Wei Xi, Chenkai Zhu, Yihan Zhao. Homonet: Unified License Plate Detection and Recognition in Complex Scenes. CollaborativeCom, 2020. 科技成果荣誉奖励工作经历 |
