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ORCIDChuan 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
![[0000-0002-0370-4623]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0370-4623")
— 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
- 2025
[j13]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. ACM Trans. Softw. Eng. Methodol. 34(1): 22:1-22:32 (2025)- [i18]Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey on Self-Interpretable Neural Networks. CoRR abs/2501.15638 (2025) - 2024
- [j12]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) - [j11]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong:
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. 36(7): 3429-3442 (2024) - [j10]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) - [j9]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) - [j8]Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [j7]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. World Wide Web (WWW) 27(5): 60 (2024) - [c36]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 - [c35]Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong:
Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. DASFAA (6) 2024: 353-363 - [c34]Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu:
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. ICDM 2024: 590-599 - [c33]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 - [c32]Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong:
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. IJCAI 2024: 2009-2017 - [c31]Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu:
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. IJCAI 2024: 2261-2269 - [c30]Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. KDD 2024: 1004-1015 - [c29]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD 2024: 4047-4058 - [c28]Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. NeurIPS 2024 - [c27]Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong:
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. SIGIR 2024: 1242-1252 - [c26]Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong:
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. WWW 2024: 3976-3985 - [c25]Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu:
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. WWW 2024: 4479-4488 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR abs/2406.11920 (2024) - [i12]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR abs/2406.12465 (2024) - [i11]Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. CoRR abs/2407.00082 (2024) - [i10]Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu:
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. CoRR abs/2410.07671 (2024) - [i9]Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong:
Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. CoRR abs/2410.22999 (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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