陈董，男，生于1995年12月。2019年由电子科技大学保送至浙江大学计算机学院，现为郑州大学计算机与人工智能学院、软件学院讲师，主要研究方向为跨媒体计算、大模型决策、大小模型协同、异常检测等。

教育经历

电子科技大学 本科   2015 - 2019
浙江大学   博士   2019 - 2024

代表性论文

§ Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang. Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. International Conference on Machine Learning (ICML 2022). CCF-A.

§ Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang. Carl Yang, FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. ACM International Conference on Multimedia (ACM MM 2023). CCF-A.

§ Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang. Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance. Association for the Advancement of Artificial Intelligence 2024 (AAAI 2024). CCF-A.

• Dong Chen, Yueting      Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang.      Cross-modal Data Augmentation for Tasks of Different Modalities. IEEE      Transactions on Multimedia (TMM). CCF-B, 中科院一区.

§ Dong Chen, Kaihang Pan, Guangyu Dai, Guoming Wang, Yueting Zhuang, Siliang Tang. Improving Vision Anomaly Detection with the Guidance of Language Modality. IEEE Transactions on Multimedia (TMM). CCF-B, 中科院一区.

§ 陈董, 王曼, 戴光裕, 张硕, 汤斯亮, 庄越挺. 基于大小语言模型协同的社区调解优化方案. 软件导刊, CCF-T3.

• Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang. FADngs:      Federated Learning for Anomaly Detection. IEEE Transactions on Neural      Networks and Learning Systems (TNNLS). CCF-B, 中科院一区.

• Junhao Guo, XueFeng Shan, Guoming Wang, Dong      Chen, Rongxing Lu,      Siliang Tang. HEART: Heart Expert Assistant with ReTrieval-augmented. AAAI      2024 Spring Symposium Series Clinical FMs.

已授权发明专利

§ CN107264662B 一种多功能爬壁机器人及其控制方法.

§ CN109688270A 一种手机壳及基于该手机壳的智能防盗与预警方法.

§ CN108922617A 一种基于神经网络的自闭症辅助诊断方法.

联系方式

邮箱：chendongcs@zju.edu.cn

个人网站：https://anfeather.github.io

课题组项目经费充足，实验条件完善，欢迎有热情、有动力的同学来共同探索学术研究及 AI落地。