Kaichun Yao

According to our database, Kaichun Yao authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong

Knowl. Inf. Syst., May, 2024

Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.

Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong

ACM Trans. Inf. Syst., January, 2024

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.

Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.

Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Towards Automatic Job Description Generation With Capability-Aware Neural Networks.

Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong

IEEE Trans. Knowl. Data Eng., May, 2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.

Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training.

Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Knowledge Enhanced Person-Job Fit for Talent Recruitment.

Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Non-deterministic and emotional chatting machine: learning emotional conversation generation using conditional variational autoencoders.

Kaichun Yao, Libo Zhang, Tiejian Luo, Dawei Du, Yanjun Wu

Neural Comput. Appl., 2021

An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.

Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Dual Encoding for Abstractive Text Summarization.

Kaichun Yao, Libo Zhang, Dawei Du, Tiejian Luo, Lili Tao, Yanjun Wu

IEEE Trans. Cybern., 2020

2018

Deep reinforcement learning for extractive document summarization.

Kaichun Yao, Libo Zhang, Tiejian Luo, Yanjun Wu

Neurocomputing, 2018

Teaching Machines to Ask Questions.

Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018