Chuan Qin

According to our database, Chuan Qin authored at least 50 papers between 2017 and 2024.

Collaborative distances:

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

2024

A survey on large language models for recommendation.

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen

World Wide Web (WWW), September, 2024

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.

Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen

ACM Trans. Inf. Syst., July, 2024

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., July, 2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., March, 2024

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.

Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen

IEEE Trans. Comput. Soc. Syst., February, 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 Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.

Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong

CoRR, 2024

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.

Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu

CoRR, 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

CoRR, 2024

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.

Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu

Proceedings of the ACM on Web Conference 2024, 2024

Collaboration-Aware Hybrid Learning for Knowledge Development Prediction.

Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong

Proceedings of the ACM on Web Conference 2024, 2024

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.

Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.

Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.

Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting.

Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening.

Shasha Hu, Chao Wang, Chuan Qin, 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

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.

Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong

CoRR, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.

Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong

Proceedings of the Knowledge Science, Engineering and Management, 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

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.

Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu

Proceedings of the IEEE International Conference on 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

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He

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

Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.

Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.

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

ACM Trans. Inf. Syst., 2022

A Survey on Knowledge Graph-Based Recommender Systems.

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He

IEEE Trans. Knowl. Data Eng., 2022

Complex Attributed Network Embedding for medical complication prediction.

Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen

Knowl. Inf. Syst., 2022

Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation.

Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong

Proceedings of the IEEE International Conference on Data Mining, 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

Embedding Fairness into the AI-Based Talent Recruitment Systems：The Perspective of Environment Cycle and Knowledge Cycle.

Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.

Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.

Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph.

Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong

Proceedings of the International Joint Conference on Neural Networks, 2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.

Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., 2020

Adam revisited: a weighted past gradients perspective.

Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen

Frontiers Comput. Sci., 2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.

Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.

Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?

Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen

Proceedings of the World Wide Web Conference, 2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.

Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music.

Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.

Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong

Proceedings of the IEEE International Conference on Data Mining, 2018

How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks.

Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

App Download Forecasting: An Evolutionary Hierarchical Competition Approach.

Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017