Ying Sun

According to our database, Ying Sun authored at least 29 papers between 2018 and 2024.

Collaborative distances:

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

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

Triple Dual Learning for Opinion-based Explainable Recommendation.

Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu

ACM Trans. Inf. Syst., May, 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

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.

Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong

CoRR, 2024

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.

Weiyu Guo, Ziyue Qiao, Ying Sun, Hui Xiong

CoRR, 2024

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.

Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu

Proceedings of the Companion 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

Graph Reasoning Enhanced Language Models for Text-to-SQL.

Zheng Gong, Ying Sun

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

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.

Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu

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

An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs.

Zheng Gong, Ying Sun

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

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.

Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong

IEEE Trans. Knowl. Data Eng., March, 2023

Exploring the tidal effect of urban business district with large-scale human mobility data.

Hongting Niu, Ying Sun, Hengshu Zhu, Cong Geng, Jiuchun Yang, Hui Xiong, Bo Lang

Frontiers Comput. Sci., 2023

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.

Ying Sun, Hengshu Zhu, Hui Xiong

CoRR, 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

Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.

Ying Sun, Hengshu Zhu, Hui Xiong

CoRR, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.

Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.

He Zhang, Ying Sun, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin, Hui Xiong

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.

Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Exploring the Risky Travel Area and Behavior of Car-hailing Service.

Hongting Niu, Hengshu Zhu, Ying Sun, Xinjiang Lu, Jing Sun, Zhiyuan Zhao, Hui Xiong, Bo Lang

ACM Trans. Intell. Syst. Technol., 2022

Adaptively sharing multi-levels of distributed representations in multi-task learning.

Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He

Inf. Sci., 2022

2021

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.

Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Talent Demand Forecasting with Attentive Neural Sequential Model.

Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.

Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong

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

2018

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.

Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He

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