I am a final-year doctoral student at Inria Saclay-Île-de-France. I work in the CEDAR team, supervised by Ioana Manolescu and Oana Balalau. My research topic is about natural language generation tasks over heterogeneous knowledge graphs.

I received my undergraduate degree from College of Elite Education (now known as Qian Xuesen Honours College), Nanjing University of Science and Technology, and I received my master’s degree from Institute of Computing Technology, Chinese Academy of Sciences.

Originally, I’m from Haiyang, a small county on the Jiaodong Peninsula in eastern China. I studied in the Olympiad Class of Haiyang No.1 High School (Yes, this is its name). Before being relocated from the town centre to the seaside by the local government, it had been a great school for decades.

I’d be thankful if you have a potential research position to share with me.

📝 Publications

• FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation

  Kun Zhang, Oana Balalau, Ioana Manolescu

  EMNLP Findings, 2023

• Learning Positional Priors for Pretraining 2D Pose Estimators

  Kun Zhang, Ping Yao, Rui Wu, Chuanguang Yang, Ding Li, Min Du, Kai Deng, Renbiao Liu, Tianyao Zheng

  HUMA Workshop, ACM MM, 2021

• DSPNet: A Low Computational- cost Network for Human Pose Estimation

  Fujin Zhong, Mingyang Li, Kun Zhang, Jun Hu, Li Liu

  Neurocomputing, 2021

• Learning Enhanced Resolution-wise Features for Human Pose Estimation

  Kun Zhang, Peng He, Ping Yao, Ge Chen, Rui Wu, Min Du, Huimin Li, Li Fu, Tianyao Zheng

  IEEE ICIP, 2020

• Gated Convolutional Networks with Hybrid Connectivity for Image Classification

  Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu

  AAAI, 2020

• Binary Feature Matching Approach Based on Sequential Sampling Evaluation

  He Li, Zhou Chuanwei, Zhang Kun, Shi Chaoxia

  Computer Engineering, 2017