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Full List of Publications

  1. Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun*, Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration, In Proceedings of The Web Conference 2025 (WWW-2025), 2025

  2. Haoran Xin, Ying Sun*, Chao Wang, Hui Xiong*, LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models, ACM Transactions on Information Systems (ACM TOIS), 2025.

  3. Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong, Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning, ACM Transactions on Information Systems (ACM TOIS), 2024.

  4. 刘辉，祝恒书, 周景博, 武晗, 张乐, 孙莹, 王晶, 朱琛, 张开颜, 任巍（中国人力资源开发研究会“人才友好型城市研究”课题组）, 2024年人才友好型城市研究报告, 《中国人力资源开发》, 41(10), 6-36, 2024

  5. Weiyu Guo, Ying Sun*, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong*, “SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network”, The 38th Annual Conference on Neural Information Processing Systems, 2024.

  6. Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong, “Tackling Uncertain Correspondences for Multi-Modal Entity Alignment”, The 38th Annual Conference on Neural Information Processing Systems, 2024.

  7. Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong, “Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs”, The 38th Annual Conference on Neural Information Processing Systems, 2024.

  8. Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu, “Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation”, In Proceedings of The 32nd ACM International Conference on Multimedia (ACM MM-2024), 2024. [paper]

  9. Zheng Gong, Ying Sun*. “An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs”, In Proceedings of The 30th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2024), 2024. [paper]

  10. Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Fuzhen Zhuang, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu. “Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation”, In Proceedings of The 30th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2024), 2024. [paper]

  11. Zheng Gong, Ying Sun*, "Graph Reasoning Enhanced Language Models for Text-to-SQL", In Proceedings of The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2024), 2024. [paper]

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

  13. 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 Transactions on Information Systems (ACM TOIS), 2024. [paper]

  14. Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong, "Collaboration-Aware Hybrid Learning for Knowledge Development Prediction", In Proceedings of The Web Conference 2024 (WWW-2024), 2024. [paper]

  15. 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, 2024. [paper]

  16. 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]

  17. Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong, “A comprehensive survey of artificial intelligence techniques for talent analytics”, arXiv preprint arXiv:2307.03195, 2023.[paper]

  18. 孙莹, 章玉婷, 庄福振, 祝恒书, 何清, 熊辉, "基于集合效用边际贡献学习的可解释薪酬预测算法", 《计算机研究与发展》, 2023. [paper]

  19. 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]

  20. 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]

  21. 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]

  22. 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]

  23. 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]

  24. 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]

  25. 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]

  26. 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]

  27. 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]

  28. 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]

  29. 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]

  30. 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]

  31. 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]

  32. 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]

  33. 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]

  34. 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]

  35. 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, 2019. [paper]

  36. 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]