Publications
Journal Papers
2024
Jiping Zheng, Fanxu Meng, Yanhao Wang, Xiaoyang Wang, Sheng Wang, Yuan Ma, and Zhiyang Hao. "Hybrid Regret Minimization: A Submodular Approach." IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 7, pp. 3151-3165, July 2024. [Link]
Wu Sun, Hui Li, Qingqing Liang, Xiaofeng Zou, Mei Chen, and Yanhao Wang. "On data efficiency of univariate time series anomaly detection models." Journal of Big Data, vol. 11, article no. 83, June 2024. [Link]
Xin Zhou, Zihan Zhou, Manying Wang, Bo Ning, Yanhao Wang, and Pengli Zhu. "Multi-level feature enhancement network for object detection in sonar images." Journal of Visual Communication and Image Representation, vol. 100, pp. 104147. April 2024. [Link]
Yanhao Wang, Tianchen Zhou, Cen Chen, and Yinggui Wang. "Federated Submodular Maximization with Differential Privacy." IEEE Internet of Things Journal, vol. 11, no. 2, pp. 1827-1839. January 2024. [Link]
2023
Xin Zhou, Kun Tian, Zihan Zhou, Bo Ning, and Yanhao Wang. "SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling." Remote Sensing, vol. 15, no. 20, pp. 5072. October 2023. [Link]
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis, and Jia Li. "Fair Max–Min Diversity Maximization in Streaming and Sliding-Window Models." Entropy, vol. 25, no. 7, pp. 1066. July 2023. [Link]
Jiping Zheng, Wei Ma, Yanhao Wang, and Xiaoyang Wang. "Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach." IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 6, pp. 5680-5694, June 2023. [Link]
Xin Zhou, Jingnan Guo, Liling Jiang, Bo Ning, and Yanhao Wang. "A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction." Mathematical Biosciences and Engineering, vol. 20, no. 6, pp. 9607-9624, March 2023. [Link]
Xin Zhou, Yao Cheng, Liling Jiang, Bo Ning, and Yanhao Wang. "FAFEnet: A fast and accurate model for automatic license plate detection and recognition." IET Image Processing, vol. 17, no. 3, pp. 807-818, February 2023. [Link]
2021
Yanhao Wang, Yuchen Li, Ju Fan, Chang Ye, and Mingke Chai. "A survey of typical attributed graph queries." World Wide Web (WWWJ), vol. 24, no. 1, pp. 297-346, January 2021. [Link] [Ref]
2019
Yanhao Wang, Yuchen Li, and Kian-Lee Tan. "Efficient Representative Subset Selection over Sliding Windows." IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 7, pp. 1327-1340, July 2019. [Link] [arXiv] [Code] [Ref]
2018
Yanhao Wang, Yuchen Li, Ju Fan, and Kian-Lee Tan. "Location-aware Influence Maximization over Dynamic Social Streams." ACM Transactions on Information Systems (TOIS), vol. 36, no. 4, article 43, October 2018. [Link] [Ref]
Yuchen Li, Ju Fan, Yanhao Wang, and Kian-Lee Tan. "Influence Maximization on Social Graphs: A Survey." IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 30, no. 10, pp. 1852-1872, October 2018. [Link] [Ref]
Conference Papers
2024
Hanhua Xiao, Yuchen Li, Yanhao Wang, Panagiotis Karras, Kyriakos Mouratidis, and Natalia-Rozalia Avlona. "How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs." To appear in the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).
Yiping Wang, Yanhao Wang, and Cen Chen. "DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows." To appear in the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024). [arXiv]
Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, and Cen Chen. "Approximate Kernel Density Estimation under Metric-based Local Differential Privacy." To appear in the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). [OpenReview]
Bo Tao, Huimin Chen, Huazheng Pan, Yanhao Wang, and Zhiyun Chen. "Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation." To appear in the 2024 International Joint Conference on Neural Networks (IJCNN 2024).
Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, and Yinggui Wang. "TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences." In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 15542–15551. May 2024. [Link]
Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, and Zhao Li. "Discovering Personalized Characteristic Communities in Attributed Graphs." To appear in the 40th IEEE International Conference on Data Engineering (ICDE 2024).
Yanhao Wang, Yuchen Li, Francesco Bonchi, and Ying Wang. "Balancing Utility and Fairness in Submodular Maximization." In Proceedings of the 27th International Conference on Extending Database Technology (EDBT), pp. 1-14. March 2024. [arXiv] [Link]
Sachith Pai, Michael Mathioudakis, Yanhao Wang. "WaZI: A Learned and Workload-aware Z-Index." In Proceedings of the 27th International Conference on Extending Database Technology (EDBT), pp. 559-571. March 2024. [arXiv] [Link]
2023
Adriano Fazzone, Yanhao Wang, and Francesco Bonchi. "Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach." In the 15th Annual Workshop on Optimization for Machine Learning (OPT-ML@NeurIPS 2023). December 2023. [Link]
Jia Li, Yanhao Wang, and Arpit Merchant. "Spectral Normalized-Cut Graph Partitioning with Fairness Constraints." In Proceedings of the Twenty-sixth European Conference on Artificial Intelligence (ECAI 2023), pp. 1389-1397. October 2023. [arXiv] [Link]
Ying Wang and Yanhao Wang. "Opinion-aware Influence Maximization in Online Social Networks." In 2023 6th International Conference on Data Science and Information Technology (DSIT), pp.214-221. July 2023. [arXiv] [Link]
Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, and Jamie Cui. "A Customized Text Sanitization Mechanism with Differential Privacy." In Findings of the Association for Computational Linguistics: ACL 2023, pp. 5747-5758. July 2023. [arXiv] [Link]
Yanhao Wang, Michael Mathioudakis, Jia Li, and Francesco Fabbri. "Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms." In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), pp. 91-99. April 2023. [arXiv] [Link]
Yanhao Wang, Jiping Zheng, and Fanxu Meng. "Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization." Proceedings of the AAAI Conference on Artificial Intelligence, 37(10), pp. 12500-12508. 2023. [Link]
Qiang Huang, Yanhao Wang, and Anthony K. H. Tung. "SAH: Shifting-aware Asymmetric Hashing for Reverse k-Maximum Inner Product Search." Proceedings of the AAAI Conference on Artificial Intelligence, 37(4), pp. 4312-4321. 2023. [arXiv] [Link]
Arpit Merchant, Michael Mathioudakis, and Yanhao Wang. "Graph Summarization via Node Grouping: A Spectral Algorithm." In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM 2023), pp. 742-750. February 2023. [arXiv] [Link]
2022
Jiping Zheng, Yuan Ma, Wei Ma, Yanhao Wang, and Xiaoyang Wang. "Happiness Maximizing Sets under Group Fairness Constraints." Proceedings of the VLDB Endowment, vol. 16, no. 2, pp. 291-303. 2022. [arXiv] [Link]
Ananth Mahadevan, Arpit Merchant, Yanhao Wang, and Michael Mathioudakis. "Robustness of Sketched Linear Classifiers to Adversarial Attacks." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022), pp. 4319-4323. October 2022. [Link]
Sachith Pai, Michael Mathioudakis, and Yanhao Wang. "Towards an Instance-Optimal Z-Index." In the 4th International Workshop on Applied AI for Database Systems and Applications (AIDB@VLDB 2022). [Link]
Yanhao Wang, Francesco Fabbri, and Michael Mathioudakis. "Streaming Algorithms for Diversity Maximization with Fairness Constraints." In 2022 IEEE 38th International Conference on Data Engineering (ICDE 2022), pp. 41-53. May 2022. [arXiv] [Link]
Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, and Michael Mathioudakis. "Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways." In Proceedings of the ACM Web Conference 2022 (WWW 2022), pp. 2719–2728. April 2022. (Best Paper Award) [arXiv] [Link] [Extended Abstract@IJCAI 23]
2021
Yanhao Wang, Michael Mathioudakis, Yuchen Li, and Kian-Lee Tan. "Minimum Coresets for Maxima Representation of Multidimensional Data." In Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2021), pp. 138-152. June 2021. [Code] [Link]
Yanhao Wang, Francesco Fabbri, and Michael Mathioudakis. "Fair and Representative Subset Selection from Data Streams." In Proceedings of the Web Conference 2021 (WWW '21), pp. 1340–1350. April 2021. [arXiv] [Code] [Link]
Yanhao Wang, Yuchen Li, Raymond Chi-Wing Wong, and Kian-Lee Tan. "A Fully Dynamic Algorithm for k-Regret Minimizing Sets." In 2021 IEEE 37th International Conference on Data Engineering (ICDE 2021), pp. 1631-1642. April 2021. [arXiv] [Code] [Link]
2020
Jingjing Wang*, Yanhao Wang*, Wenjun Jiang, Yuchen Li, and Kian-Lee Tan. "Efficient Sampling Algorithms for Approximate Temporal Motif Counting". In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pp. 1505–1514. October 2020. (* for equal contribution). [arXiv] [Code] [Ref] [Link]
2019
Yanhao Wang, Yuchen Li, and Kian-Lee Tan. "Coresets for Minimum Enclosing Balls over Sliding Windows." In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), pp. 314-323. August 2019. [arXiv] [Code] [Ref] [Link]
Yanhao Wang, Yuchen Li, and Kian-Lee Tan. "Semantic and Influence aware k-Representative Queries over Social Streams." In Proceedings of the 22nd International Conference on Extending Database Technology (EDBT 2019), pp. 181-192. March 2019. [arXiv] [Link] [Ref] [Slides]
2018
Mo Sha, Yuchen Li, Yanhao Wang, Wentian Guo, and Kian-Lee Tan. "River: A Real-time Influence Monitoring System on Social Media Streams." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018, demo), pp. 1429-1434. November 2018. [Link] [PDF] [Ref]
Yanhao Wang, Yuchen Li, and Kian-Lee Tan. "A Sliding-Window Framework for Representative Subset Selection." In 2018 IEEE 34th International Conference on Data Engineering (ICDE 2018), pp. 1268-1271. April 2018. [Link] [PDF] [Code] [Ref]
2017
Yanhao Wang, Qi Fan, Yuchen Li, and Kian-Lee Tan. "Real-time influence maximization on dynamic social streams." Proceedings of the VLDB Endowment, vol. 10, no. 7, pp. 805-816. 2017. [Link] [arXiv] [Ref] [Code]