Zejian Li
浙江大学平台“百人计划”研究员。2019年浙江大学计算机科学与技术专业毕业,获得工学博士学位,期间赴英国布里斯托大学(University of Bristol)访学一年。2019年到2022年于浙江大学设计学流动站从事博士后工作,2022年7月加入浙江大学软件学院。
研究方向 Research Area
人工智能 生成模型 表示学习
论文 Publications
Zejian Li; Yongchuan Tang; Wei Li; Yongxing He; Learning Disentangled Representation with Pairwise Independence, AAAI Conference on Artificial Intelligence 2019 2.
Zejian Li; Yongchuan Tang; Yongxing He; Unsupervised Disentangled Representation Learning with Analogical Relations, International Joint Conference on Artificial Intelligence 20183. Zejian Li; Yongchuan Tang; Comparative Density Peaks Clustering, Expert Systems with Applications 20184.
Wei Li; Yongxing He; Yanwei Qi; Zejian Li; Yongchuan Tang*; FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization, AAAI Conference on Artificial Intelligence 2020