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Chuan Qin 0002
Person information
- affiliation: Baidu Talent Intelligence Center, Beijing, China
- affiliation: University of Science and Technology of China, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
Other persons with the same name
- Chuan Qin — disambiguation page
- Chuan Qin 0001 — University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, Shanghai, China (and 1 more)
- Chuan Qin 0003 — Huawei Technologies, Shenzhen, China (and 2 more)
- Chuan Qin 0004 — Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
- Chuan Qin 0005 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China (and 1 more)
- Chuan Qin 0006 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Chuan Qin 0007 — University of Technology Sydney, Global Big Data Technologies Centre, Sydney, Australia
- Chuan Qin 0008 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Chuan Qin 0009 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Chuan Qin 0010 — University of California, Department of Electrical and Computer Engineering, Davis, CA, USA
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2020 – today
- 2024
- [j9]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j8]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) - [j7]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42(2): 56:1-56:32 (2024) - [i10]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR abs/2401.10749 (2024) - [i9]Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong:
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. CoRR abs/2403.17416 (2024) - 2023
- [j6]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) - [c24]Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang:
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. CIKM 2023: 4094-4098 - [c23]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 - [c22]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c21]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM 2023: 858-867 - [c20]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 - [c19]Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong:
Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. KSEM (2) 2023: 301-317 - [i8]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i7]Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. CoRR abs/2307.03195 (2023) - 2022
- [j5]Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen:
Complex Attributed Network Embedding for medical complication prediction. Knowl. Inf. Syst. 64(9): 2435-2456 (2022) - [j4]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [j3]Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - [c18]Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong:
Knowledge Enhanced Person-Job Fit for Talent Recruitment. ICDE 2022: 3467-3480 - [c17]Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong:
Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. ICDM 2022: 909-914 - 2021
- [c16]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 - [c15]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c14]Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong:
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN 2021: 1-8 - [c13]Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong:
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS 2021: 14681-14693 - [c12]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c11]Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu:
Embedding Fairness into the AI-Based Talent Recruitment Systems:The Perspective of Environment Cycle and Knowledge Cycle. PACIS 2021: 15 - [i6]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. CoRR abs/2101.00238 (2021) - [i5]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR abs/2110.12381 (2021) - 2020
- [j2]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. Frontiers Comput. Sci. 14(5): 145309 (2020) - [j1]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong:
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. ACM Trans. Inf. Syst. 38(2): 15:1-15:33 (2020) - [c10]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. AAAI 2020: 6127-6136 - [c9]Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong:
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. KDD 2020: 774-782 - [c8]Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020: 2354-2364 - [i4]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. CoRR abs/2002.09841 (2020) - [i3]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020)
2010 – 2019
- 2019
- [c7]Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong:
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019: 2165-2173 - [c6]Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? WWW 2019: 2312-2322 - 2018
- [c5]Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du:
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. AAAI 2018: 5618-5625 - [c4]Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong:
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. ICDM 2018: 597-606 - [c3]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen:
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. KDD 2018: 2837-2846 - [c2]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. SIGIR 2018: 25-34 - [i2]Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du:
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. CoRR abs/1803.02994 (2018) - [i1]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. CoRR abs/1812.08947 (2018) - 2017
- [c1]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie:
App Download Forecasting: An Evolutionary Hierarchical Competition Approach. IJCAI 2017: 2978-2984
Coauthor Index
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last updated on 2024-05-06 23:18 CEST by the dblp team
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