教师简介
李津,2013和2019分别获得西安交通大学学士学位、博士学位。2017-2018年赴英国东安格利亚大学公派博士联合培养,2019-2021年任腾讯科技(上海)有限公司算法工程师。2021年任英国杜伦大学助理研究员、博士后。2021年7月起任陕西师范大学讲师,硕士生导师。主持国家自然科学基金青年项目、CCF-腾讯犀牛鸟基金项目、西安市科协青年托举人才项目,中国图象图形学学会、中国人工智能学会成员。在IEEE TIP,IEEE TMM,IEEE TSC,IEEE CVPR,IJCAI等重要期刊和学术会议发表论文20余篇,中科院3区期刊Electronics(IF 2.9)客座编辑(Guest Editor),ICIRA 2024 (EI会议) Session Organizer, ICISC 2024(EI会议)Publicity Chairs,TNNLS、TMM、ESWA、AAAI等审稿人。研究方向包括多模态内容理解、人工智能教育等。
科研项目
[1] 国家自然科学基金-青年项目: 基于两阶零样本学习的图像动态新增情感分类方法研究 (2023.1-2025.12,主持).
[2] CCF-腾讯犀牛鸟基金-科研基金:基于深度学习的可调风格的短视频背景音乐合成 (2023.1-2023.12,主持)
[3] 西安市科协青年托举人才项目:标注数据受限情况下的未知度图像情感分类问题研究(2023.7-2025.6,主持)
部分学术论文
[1] Jin Li, Shu Li, Yuan Zhao, Longjiang Guo*, Fei Hao, Meirui Ren et al., “Predicting Dropouts Before Enrollments in MOOCs: An Explainable and Self-supervised Model”, in IEEE Transactions on Services Computing, online, 2023. (CCF A类期刊,中科院2区期刊)
[2] Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, Nanning Zheng, “A Joint Label Space for Generalized Zero-Shot Classification”, IEEE Transactions on Image Processing, vol. 29, pp: 5817-5831, Apr. 2020. (CCF-A类期刊, 中科院1区期刊)
[3] Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng, “Compressing Unknown Images with Product Quantizer for Efficient Zero-Shot Classification”, IEEE Computer Vision and Pattern Recognition (CVPR) 2019,美国长滩.(CCF-A类会议)
[4] Xingyu Chen, Jin Li, Xuguang Lan, Nanning Zheng, “Generalized Zero-shot Learning via Multi-modal Aggregated Posterior Aligning Neural Network”, IEEE Transaction on Multimedia, online, 2020. (CCF-B类期刊,中科院1区期刊)
[5] Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng, “A real-time robotic grasping approach with oriented anchor box”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 51(5): 3014-3025.(中科院1区期刊)
[6] Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao, Zero-Shot Learning via Low-rank Embedded Semantic AutoEncoder (IJCAI), 2018, 瑞典斯德哥尔摩 (CCF-A类会议)
[7] Jin Li, Xuguang Lan, Xiangwei Li, Jiang Wang, Nanning Zheng, Ying Wu, “Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval”, IEEE Transactions on Multimedia vol. 19, no. 3, pp:559-570, Mar. 2017. (CCF-B类期刊,中科院1区期刊)
[8] Haowen Yang, Tianlong Qi, Jin Li, Longjiang Guo, Meirui Ren, Lichen Zhang, Xiaoming Wang, “A novel quantitative relationship neural network for explainable cognitive diagnosis model”, Knowledge-Based Systems, 250, 109156, 2022.(中科院1区期刊)
[9] Tianlong Qi, Meirui Ren, Longjiang Guo, Jin Li, Lichen Zhang. “ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems”, Expert Systems with Applications, 2023, 215: 119309.
[10] Shu Li, Yuan Zhao, Longjiang Guo, Meirui Ren, Jin Li, Lichen Zhang, Keqin Li. “Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs”, Information Processing & Management, 2024, 61(1): 103536. (中科院1区期刊)
[11] Jin Li, Jingxin Wang, Longjiang Guo, Meirui Ren, Fei Hao. “Open-set learning context recognizing in mobile learning: Problem and methodology”, ICT Express, 2024.(中科院3区期刊)