Yao, Kaichun (姚开春)
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Assistant Professor, Postdoctor |
About me
Dr. Kaichun Yao is currently an Assistant Professor and works as a Postdoctor in Institute of Software, Chinese Academy of Sciences. He was previously the Research Scientist at Baidu Inc from 2019 to 2023. He received the B.S. degree and the M.S. degree from the Southwest Jiaotong University in 2012 and in 2016, and the PhD degree from the Universtiy of Chinese Academy of Sciences in 2019. His general research interests are natural language processing and data mining, with a focus on knowledge discovery and talent computing.
Research Interests
My research interests include:
Large Language Model and its Applications
NLP including Information Extraction, Text Summarization and Dialogue Generation
Knowledge Graph, GNN and Reinforcement Learning
Data Mining including Talent Computing and Search Algorithm
Multi-modal Document Understanding
Education
Ph.D., Computer Science, Universtiy of Chinese Academy of Sciences, 06.2019
M.E, Signal Analyzing and Processing, Pattern Recognition and Intelligent Systems, Southwest Jiaotong University, 06.2016
B.E., Mechanical Engineering and Automation, Southwest Jiaotong University, 06.2012
Work experience
Assistant Professor and Postdoctor, Institute of Software, Chinese Academy of Sciences, 05.2023-Present
Research on LLMs and their applications, such as LLMs based OS kernel tuning and LLM-driven low-resource information retrieval
Research on Code Model Robustness: Adversarial Attack Methods Based on Reinforcement Learning
Guiding multiple graduate students in academic research work
Research Scientist, Talent Intelligence Center, Baidu, 07.2019-05.2023
Responsible for the research and service deployment of talent computing algorithms, including resume parsing, talent assessment, job-person matching, and intelligent written tests.
Publish papers and apply for relevant patents for the corporation
Scientific Publications
Conference publications
- Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu, From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation, In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2025), 2025
Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong, "Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach". ICME 2024: 1-6
Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong, "Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models". The 29th International ConferenceDatabase Systems for Advanced Applications(DASFAA), 2024
Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong, "RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment", In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2023), 2023
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, and Hui Xiong, "Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph", In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2023), 2023
Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, and Hui Xiong, "ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training", In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE-2023), 2023
Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong, "Knowledge Enhanced Person-Job Fit for Talent Recruitment", In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE-2022), 2022[pdf]
Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong, "An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment", In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM-2021), 2021[pdf]
Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu, "Teaching Machines to Ask Questions", IJCAI 2018: 4546-4552[pdf]
Journal publications
Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu, “COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning”, In ACM Transactions on Management Information Systems (ACM TMIS), 2025.
Kaichun Yao, Hao Wang, Chuan Qin, Hengshu Zhu, Yanjun Wu, Libo Zhang, "CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning", In ACM Transactions on Software Engineering and Methodology (ACM TOSEM), 2024[pdf]
Chenguang Du, Kaichun Yao*, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong, "Mining technology trends in scientific publications: a graph propagated neural topic modeling approach", Knowledge and Information Systems. 66(5): 3085-3114 (2024)[pdf]
Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong, "Automatic Skill-oriented Question Generation and Recommendation for Intelligent Job Interviews", In ACM Transactions on Information Systems (ACM TOIS), 2023[pdf]
Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong, "Towards Automatic Job Description Generation with Capability-Aware Neural Networks", In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022[pdf]
Kaichun Yao, Libo Zhang, Tiejian Luo, Dawei Du, Yanjun Wu, "Non-deterministic and emotional chatting machine: learning emotional conversation generation using conditional variational autoencoders", Neural Comput. Appl. 33(11): 5581-5589 (2021)[pdf]
Kaichun Yao, Libo Zhang, Dawei Du, Tiejian Luo, Lili Tao, Yanjun Wu, "Dual Encoding for Abstractive Text Summarization", IEEE Trans. Cybern. 50(3): 985-996 (2020)[pdf]
Kaichun Yao, Libo Zhang, Tiejian Luo, Yanjun Wu, "Deep reinforcement learning for extractive document summarization", Neurocomputing 284: 52-62 (2018)[pdf]
Academic service
Reviewer for AAAI, IJCAI, KDD, SIGIR, ARR ...
Research Grants
"Research on Question Generation and Recommendation Algorithm for Intelligent Interviews", the Postdoctoral Fellowship Program of CPSF, 2024.1 - 2025.12
"Research on Question-Answering and Reasoning for Complex Document Understanding", China Postdoctoral Science Foundation, 2024.8 - 2025.8