陈新阳 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

个人简介

陈新阳，哈尔滨工业大学（深圳）计算机科学与技术学院助理教授，硕士生导师。清华大学3字班，本科（13-17）、博士（17-22，导师：清华大学龙明盛长聘副教授）。主要研究领域为机器学习核心算法及应用，核心算法涉及迁移学习、半监督学习、多任务学习、分布外泛化、生成模型，应用主要面向多模态学习，特别聚焦于多模态内容生成。以第一作者身份在CCF A类会议上发表一作文章多篇，包括机器学习顶级会议ICML、NeurIPS等，其中单篇最高引用300余次，于2021年5月入选全球首份AI华人新星百强榜单，机器学习方向。 Education PhD in Software Engineering, 2017-2022 School of Software, Tsinghua University Bachelor in Electrical Engineering, 2013-2017 Department of Electrical Engineering, Tsinghua University Awards Top 100 Chinese New Stars in Artificial Intelligence (华人AI新星百强榜). 2021 First Prize, Jiangzhen Scholarship, Tsinghua University, 2021 First Prize, Guanglianda Scholarship, School of Software, Tsinghua University, 2020 First Prize, Suzhou Industrial Park Scholarship, Tsinghua University, 2019 First Prize, Award on Outstanding Research, Machine Learning Group, Tsinghua University, 2019 First Prize, Outstanding Contribution Award, National Engineering Laboratory for BDSS, 2019

研究领域

机器学习核心算法及应用，核心算法涉及迁移学习、半监督学习、多任务学习、分布外泛化、生成模型，应用主要面向多模态学习，特别聚焦于多模态内容生成

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Representation Subspace Distance for Domain Adaptation Regression Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long# Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning Xinyang Chen*, Sinan Wang*, Bo Fu, Mingsheng Long#, Jianmin Wang Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation Xinyang Chen, Sinan Wang, Mingsheng Long#, Jianmin Wang X-model: Improving Data Efficiency in Deep Learning with A Minimax Model Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long# Progressive Adversarial Networks for Fine-Grained Domain Adaptation Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long#, Jianmin Wang

学术兼职

Program Committee Member: Neural Information Processing Systems (NeurIPS) 2020, 2021, 2022 International Conference on Machine Learning (ICML) 2021, 2022 International Conference on Learning Representations (ICLR) 2021, 2022 International Joint Conference on Artificial Intelligence (IJCAI) 2020 Distribution Shifts Workshop, NeurIPS 2021, 2022 Robustness in Sequence Modeling Workshop, NeurIPS 2022 Peer Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) IEEE Transactions on Image Processing (TIP) Transactions on Machine Learning Research (TMLR) Machine Learning (MLJ)