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2020 – today
- 2024
[j6]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. Knowl. Inf. Syst. 66(5): 3085-3114 (2024)- [j5]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. ACM Trans. Inf. Syst. 42(1): 27:1-27:32 (2024) - [c8]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. DASFAA (4) 2024: 273-290 - [c7]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 - [i3]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. CoRR abs/2404.08695 (2024) - [i2]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. CoRR abs/2404.13067 (2024) - 2023
- [j4]Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [c6]Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong:
ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. ICDE 2023: 3154-3167 - [c5]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. KDD 2023: 3991-4002 - [c4]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [i1]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - 2022
- [c3]Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong:
Knowledge Enhanced Person-Job Fit for Talent Recruitment. ICDE 2022: 3467-3480 - 2021
- [j3]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) - [c2]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. CIKM 2021: 2383-2393 - 2020
- [j2]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)
2010 – 2019
- 2018
- [j1]Kaichun Yao, Libo Zhang, Tiejian Luo, Yanjun Wu:
Deep reinforcement learning for extractive document summarization. Neurocomputing 284: 52-62 (2018) - [c1]Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu:
Teaching Machines to Ask Questions. IJCAI 2018: 4546-4552
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