Full List of Publications

1. Zheng Gong, Ying Sun*, "Graph Reasoning Enhanced Language Models for Text-to-SQL", to appear in the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2024), 2024.

2. Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang, "SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions", to appear in the 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), 2024.

3. 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", to appear in ACM Transactions on Information Systems (ACM TOIS), 2024.

4. Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong, "Collaboration-Aware Hybrid Learning for Knowledge Development Prediction", to appear in The Web Conference 2024 (WWW-2024), 2024.

5. Ying Sun, Hengshu Zhu, Lu Wang, Le Zhang, Hui Xiong, "Large-scale Online Job Search Behaviors Reveal Labor Market Shifts Amid COVID-19",Nature Cities (2024): 1-14. [paper]

6. Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu, "Triple Dual Learning for Opinion-Based Explainable Recommendation", ACM Transactions on Information Systems (ACM TOIS), 2023.[paper]

7. 孙莹, 章玉婷, 庄福振, 祝恒书, 何清, 熊辉, "基于边信息作用下集合效用增量式学习的可解释薪酬预测算法", 《计算机研究与发展》, 2023.

8. He Zhang, Ying Sun*, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin,and Hui Xiong*."Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning", In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM-2023), 2023.[paper]

9. Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu and Hui Xiong, "Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach"ACM Recommender Systems (RecSys-2023), 2023. [paper]

10. 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 Transactions on Information Systems (ACM TOIS), 2023.[paper]

11. Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng, "Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification", In Proceedings of International Joint Conference on Artificial Intelligence 2023 (IJCAI-2023), 2023.[paper]

12. Hongting Niu, Ying Sun, Hengshu Zhu, Cong Geng, Jiuchun Yang, Hui Xiong, Bo Lang, "Exploring the Tidal Effect of Urban Business District with Large-scale Human Mobility Data", Frontiers of Computer Science (FCS), 2022. [paper]

13. Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He. "Adaptively Sharing Multi-Levels of Distributed Representations in Multi-Task Learning", In Information Sciences, 2022. [paper]

14. Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong, "Talent Demand Forecasting with Attentive Neural Sequential Model", In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021), 2021. [paper]

15. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong, "Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning", In Proceedings of The Web Conference 2021 (WWW-2021), Taipei, 2021. [paper] [code]

16. Hongting Niu, Hengshu Zhu, Ying Sun, Xinjiang Lu, Jing Sun, Zhiyuan Zhao, Hui Xiong, Bo Lang, "Exploring the Risky Travel Area and Behavior of Car-hailing Service", In ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021. [paper]

17. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, Hui Xiong, "Market-oriented Job Skill Valuation with Cooperative Composition Neural Network", Nature Communications, 2021. [paper] [code]

18. Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong. "Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation", In The 35th Conference on Neural Information Processing Systems (NeurIPS-2021), 2021. [paper] [code]

19. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong, "Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks", In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021. [paper]

20. Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin and Juan Cao, "Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks", In Proceedings of the 44st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2021), 2021. [paper]

21. Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong, "Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries", Scientific Reports , 2020. [paper]

22. Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He, "Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition", In Proceedings of the 19th IEEE International Conference on Data Mining (ICDM-2020), 2020. [paper]

23. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong, "The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach", In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019) , Anchorage, Alaska, 2019. [paper]

24. Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He, "Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries", In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018), 2018. [paper]

25. Xuebing Li, Ying Sun, Fuzhen Zhuang, Jia He, Zhao Zhang, Shijun Zhu, Qing He, "Potential Off-Grid User Prediction System Based on Spark", ZTE Communications, 17, 26–37. [paper]