Journal Papers

2026

• Qian Zhang, Panfeng Chen, Jiali Li, Linkun Feng, Shuyu Liu, Heng Zhao, Mei Chen, Hui Li, and Yanhao Wang. 2026. PediaBench: a comprehensive Chinese pediatric dataset for benchmarking large language models. Frontiers of Computer Science, 20(3):2003902. [arXiv] [Link] [doi]

2025

• Yuandi Li, Zhe Xiang, Fei Yu, Zhuoran Zhang, Yanhao Wang, and Zhangshuang Guan. 2025. Reliable Multimodal Semantic Communication for Audio-Visual Event Localization. Accepted by IEEE Communications Letters. [Link]

• Xirui Zeng, Cen Chen, Yanhao Wang, and Yuqi Liang. 2025. ELfolio: Strategy Evolution via Large Language Models for Portfolio Optimization. Accepted by Intelligent Computing. [Link]

• Fuyong Zhao, Yuyang Li, Zhenyu Liu, Panfeng Chen, Cunshi Wang, Jifeng Liu, Hui Li, and Yanhao Wang. 2025. Unveiling the power of multimodal large language models for radio astronomical image understanding and question answering. Machine Learning: Science and Technology, 6(4):045005. [Link]

• Xiangrui Zhang, Fuyong Zhao, Yutian Liu, Panfeng Chen, Yanhao Wang, Xiaohua Wang, Dan Ma, Huarong Xu, Mei Chen, Hui Li. 2025. TreeQA: Enhanced LLM-RAG with Logic Tree Reasoning for Reliable and Interpretable Multi-Hop Question Answering. Knowledge-Based Systems, 330:114526. [Link]

• Yingqi Zou, Guanyu Li, Shaohan Wang, Yanhao Wang, Bo Ning, Zhang Dong, and Jingmin An. 2025. Content-aware susceptibility estimation for influence prediction on social networks. Computing, 107:187. [Link]

• Shunhua Peng, Wu Sun, Panfeng Chen, Huarong Xu, Dan Ma, Mei Chen, Yanhao Wang, and Hui Li. 2025. MSP-EDA: Multivariate Time Series Forecasting Based on Multiscale Patches and External Data Augmentation. Electronics, 14(13):2618. [Link]

• Yutian Xu, Guozhong Qin, Yanhao Wang, Panfeng Chen, Xibin Wang, Wei Zhou, Mei Chen, and Hui Li. 2025. EvoContext: Evolving Contextual Examples by Genetic Algorithm for Enhanced Hyperparameter Optimization Capability in Large Language Models. Electronics, 14(11):2253. [Link]

• Fangzheng Wang, Yanhao Wang, Jingjing Wang, and Minghao Zhao. 2025. A reinforcement learning approach to edge suggestion for fair information access on social networks. Knowledge-Based Systems, 322:113719. [Link]

• Yapei Zhang, Yancheng Liu, Yanhao Wang, and Fei Yu. 2025. NSC-SSNet: A Self-Supervised Network with Neighborhood Subsampling and Calibration Constraints for Sonar Image Denoising. IEEE Geoscience and Remote Sensing Letters, 22:1502005. [Link]

• Long Teng, Yanhao Wang, Zhe Lin, and Fei Yu. 2025. Topic-aware most influential community search in social networks. Neurocomputing, 638:130173. [arXiv] [Link]

• Jie Li, Fuyong Zhao, Panfeng Chen, Jiafu Xie, Xiangrui Zhang, Hui Li, Mei Chen, Yanhao Wang, and Ming Zhu. 2025. An astronomical question answering dataset for evaluating large language models. Scientific Data, 12:447. [Link]

• Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, and Yanhao Wang. 2025. A Review and Experimental Evaluation on Split Learning. Future Internet, 17(3):87. [Link]

2024

• Adriano Fazzone, Yanhao Wang, and Francesco Bonchi. 2024. Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach. Transactions on Machine Learning Research. URL https://openreview.net/forum?id=0Hm01Vc8zT.  [Link] [OPT-ML@NeurIPS 2023]

• Jiping Zheng, Fanxu Meng, Yanhao Wang, Xiaoyang Wang, Sheng Wang, Yuan Ma, and Zhiyang Hao. 2024. Hybrid Regret Minimization: A Submodular Approach. IEEE Transactions on Knowledge and Data Engineering, 36(7):3151-3165. [Link] [Extended Abstract@ICDE 2024]

• Wu Sun, Hui Li, Qingqing Liang, Xiaofeng Zou, Mei Chen, and Yanhao Wang. 2024. On data efficiency of univariate time series anomaly detection models. Journal of Big Data, 11:83. [Link]

• Xin Zhou, Zihan Zhou, Manying Wang, Bo Ning, Yanhao Wang, and Pengli Zhu. 2024. Multi-level feature enhancement network for object detection in sonar images. Journal of Visual Communication and Image Representation, 100:104147. [Link]

• Yanhao Wang, Tianchen Zhou, Cen Chen, and Yinggui Wang. 2024. Federated Submodular Maximization with Differential Privacy. IEEE Internet of Things Journal, 11(2):1827-1839. [Link]

2023

• Xin Zhou, Kun Tian, Zihan Zhou, Bo Ning, and Yanhao Wang. 2023. SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling. Remote Sensing, 15(20):5072. [Link]

• Yanhao Wang, Francesco Fabbri, Michael Mathioudakis, and Jia Li. 2023. Fair Max–Min Diversity Maximization in Streaming and Sliding-Window Models. Entropy, 25(7):1066. [Link]

• Jiping Zheng, Wei Ma, Yanhao Wang, and Xiaoyang Wang. 2023. Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach. IEEE Transactions on Knowledge and Data Engineering, 35(6):5680-5694. [Link]

• Xin Zhou, Jingnan Guo, Liling Jiang, Bo Ning, and Yanhao Wang. 2023. A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction. Mathematical Biosciences and Engineering, 20(6):9607-9624. [Link]

• Xin Zhou, Yao Cheng, Liling Jiang, Bo Ning, and Yanhao Wang. 2023. FAFEnet: A fast and accurate model for automatic license plate detection and recognition. IET Image Processing, 17(3):807-818. [Link]

2021

• Yanhao Wang, Yuchen Li, Ju Fan, Chang Ye, and Mingke Chai. 2021. A survey of typical attributed graph queries. World Wide Web, 24(1):297-346. [Link]

2019

• Yanhao Wang, Yuchen Li, and Kian-Lee Tan. 2019. Efficient Representative Subset Selection over Sliding Windows. IEEE Transactions on Knowledge and Data Engineering, 31(7):1327-1340. [Link] [arXiv] [Code]

2018

• Yanhao Wang, Yuchen Li, Ju Fan, and Kian-Lee Tan. 2018. Location-aware Influence Maximization over Dynamic Social Streams. ACM Transactions on Information Systems, 36(4):43. [Link]

• Yuchen Li, Ju Fan, Yanhao Wang, and Kian-Lee Tan. 2018. Influence Maximization on Social Graphs: A Survey. IEEE Transactions on Knowledge and Data Engineering, 30(10):1852-1872. [Link]

Conference Papers

2026

• Zhanyi Hu, Cen Chen, and Yanhao Wang. 2026. FILTER: A Framework for Defending against Backdoor Attacks in Vertical Federated Learning. To appear in the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).

2025

• Ruien Li and Yanhao Wang. 2025. Individually Fair Diversity Maximization. To appear in the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). [OpenReview]

• Guangyi Zhang, Yanhao Wang, Chengliang Chai, Qiyu Liu, and Wei Wang. 2025. Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms. To appear in the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). [OpenReview]

• Wu Sun, Panfeng Chen, Mei Chen, Hui Li, Yanhao Wang, Gang Huang, and Hongyuan Li. 2025. Failure Classification for Microservice Systems Based on Variational Graph Auto-Encoders. To appear in the 23rd International Conference on Service-Oriented Computing (ICSOC 2025). (Best Student Paper Award)

• Zhe Xiang, Yuandi Li, Fei Yu, Yanhao Wang, Yuehua Li, and Zeyang Rao. 2025. Task-oriented Semantic Communication via Federated Learning. To appear in the 2025 IEEE International Performance, Computing, and Communications Conference (IPCCC).

• Fangzheng Wang, Yi Zhou, Yanhao Wang, Panagiotis Karras, and Yuchen Li. 2025. FAIM-RL: A Reinforcement Learning Approach for Fairness-aware Adaptive Influence Maximization. To appear in the 25th IEEE International Conference on Data Mining (ICDM 2025).

• Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, and Yuqi Liang. 2025. AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM ’25), pages 1882-1891. [Link]

• Wenping Tong, Yi Zhou, Yanhao Wang, Cen Chen, and Minghao Zhao. 2025. Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM ’25), pages 5299-5303. [Link]

• Ce Lyu, Yanhao Wang, Jie Liang, and Minghao Zhao. 2025. LLM-based Dynamic Differential Testing for Database Connectors with Reinforcement Learning-Guided Prompt Selection. To appear in the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025, NIER Track). [arXiv]

• Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, and Cen Chen. 2025. Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), Special Track on AI4Tech: AI Enabling Critical Technologies, pages 9483-9491. [Link]

• Yuansu Hao, Fei Yu, Yanhao Wang, Yuehua Li, Quan Deng, Yuan Yu, Chen Huang, and Nan Che. 2025. Open-Scene Understanding-oriented 3D Scene Graph Generation. In 2025 IEEE International Conference on Multimedia and Expo (ICME), pages 1-6. [Link]

• Tianchen Zhou, Zhongjie Duan, Cen Chen, Wenmeng Zhou, Yanhao Wang, and Yaliang Li. 2025. AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. In Proceedings of the 2025 International Conference on Multimedia Retrieval (ICMR '25), pages 1894-1902. [Link]

• Yudong Niu, Yuchen Li, Panagiotis Karras, and Yanhao Wang. 2025. A Sketch Propagation Framework for Hub Queries on Unmaterialized Relational Graphs. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), pages 3003-3016. [Link]

• Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, and Yanhao Wang. 2025. SLPerf: A Research Library and Benchmark Framework for Split Learning. In 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), 1st Workshop on Data-AI Systems (DAIS'25), pages 33-36. [Link]

• Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, and Wenmeng Zhou. 2025. Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. In Proceedings of the ACM on Web Conference 2025 (WWW 2025), pages 1588-1601. (Best Student Paper Award) [OpenReview] [Link]

• Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, and Yaliang Li. 2025. Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. In The Thirteenth International Conference on Learning Representations (ICLR 2025). [OpenReview]

2024

• Fuyong Zhao, Yuyang Li, Yanhao Wang, Hui Li, Mei Chen, Panfeng Chen, Ningchen Sun, Cunshi Wang, and Jifeng Liu. 2024. Pulsar Candidate Classification with Multimodal Large Language Models. In NeurIPS 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges (FM4Science). [OpenReview]

• Ruien Li, Yanhao Wang, and Michael Mathioudakis. 2024. Coresets for Deletion-Robust k-Center Clustering. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), pages 3877-3881. [Link]

• Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang. 2024. FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. In 2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS), pages 246-253. [arXiv] [Link]

• Dongyu Liu, Xuhong Wang, Cen Chen, Yanhao Wang, Shengyue Yao, and Yilun Lin. 2024. SVIA: A Street View Image Anonymization Framework for Self-Driving Applications. In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), pages 3567-3574. [arXiv] [Link]

• Yiqun Sun, Qiang Huang, Yanhao Wang, and Anthony K. H. Tung. 2024. DiversiNews: Enriching News Consumption with Relevant yet Diverse News Articles Retrieval. Proceedings of the VLDB Endowment, 17(12):4277-4280. [Link]

• Hanhua Xiao, Yuchen Li, Yanhao Wang, Panagiotis Karras, Kyriakos Mouratidis, and Natalia-Rozalia Avlona. 2024. How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), pages 3539-3550. [Link]

• Yiping Wang, Yanhao Wang, and Cen Chen. 2024. DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), pages 3255-3266. [arXiv] [Link]

• Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, and Cen Chen. 2024. Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. In Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence (UAI 2024), pages 4250-4270. [OpenReview] [Link]

• Jiaxi Pu, Yanhao Wang, Yuchen Li, and Xuan Zhou. 2024. Fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling. In Database Systems for Advanced Applications. DASFAA 2024 International Workshops - BDMS, GDMA, BDQM and ERDSE, Gifu, Japan, July 2-5, 2024, Proceedings, pages 42-57. [Link] [arXiv]

• Bo Tao, Huimin Chen, Huazheng Pan, Yanhao Wang, and Zhiyun Chen. 2024. Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation. In 2024 International Joint Conference on Neural Networks (IJCNN), pages 1-8. [Link]

• Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, and Yinggui Wang. 2024. 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), pages 15542-15551. [Link]

• Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, and Zhao Li. 2024. Discovering Personalized Characteristic Communities in Attributed Graphs. In 2024 IEEE 40th International Conference on Data Engineering (ICDE), pages 2834-2847. [Link]

• Yanhao Wang, Yuchen Li, Francesco Bonchi, and Ying Wang. 2024. Balancing Utility and Fairness in Submodular Maximization. In Proceedings of the 27th International Conference on Extending Database Technology (EDBT), pages 1-14. [arXiv] [Link]

• Sachith Pai, Michael Mathioudakis, Yanhao Wang. 2024. WaZI: A Learned and Workload-aware Z-Index. In Proceedings of the 27th International Conference on Extending Database Technology (EDBT), pages 559-571. [arXiv] [Link] [AIDB@VLDB 2022]

2023

• Jia Li, Yanhao Wang, and Arpit Merchant. 2023. Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. In Proceedings of the Twenty-sixth European Conference on Artificial Intelligence (ECAI 2023), pages 1389-1397. [arXiv] [Link]

• Ying Wang and Yanhao Wang. 2023. Opinion-aware Influence Maximization in Online Social Networks. In 2023 6th International Conference on Data Science and Information Technology (DSIT), pages 214-221. [arXiv] [Link]

• Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, and Jamie Cui. 2023. A Customized Text Sanitization Mechanism with Differential Privacy. In Findings of the Association for Computational Linguistics: ACL 2023, pages 5747-5758. [arXiv] [Link]

• Yanhao Wang, Michael Mathioudakis, Jia Li, and Francesco Fabbri. 2023. Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), pages 91-99. [arXiv] [Link]

• Yanhao Wang, Jiping Zheng, and Fanxu Meng. 2023. Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization. Proceedings of the AAAI Conference on Artificial Intelligence, 37(10):12500-12508. [Link]

• Qiang Huang, Yanhao Wang, and Anthony K. H. Tung. 2023. SAH: Shifting-aware Asymmetric Hashing for Reverse k-Maximum Inner Product Search. Proceedings of the AAAI Conference on Artificial Intelligence, 37(4):4312-4321. [arXiv] [Link]

• Arpit Merchant, Michael Mathioudakis, and Yanhao Wang. 2023. Graph Summarization via Node Grouping: A Spectral Algorithm. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM 2023), pages 742-750. [arXiv] [Link]

2022

• Jiping Zheng, Yuan Ma, Wei Ma, Yanhao Wang, and Xiaoyang Wang. 2022. Happiness Maximizing Sets under Group Fairness Constraints. Proceedings of the VLDB Endowment, 16(2):291-303. [arXiv] [Link]

• Ananth Mahadevan, Arpit Merchant, Yanhao Wang, and Michael Mathioudakis. 2022. Robustness of Sketched Linear Classifiers to Adversarial Attacks. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022), pages 4319-4323. [Link]

• Yanhao Wang, Francesco Fabbri, and Michael Mathioudakis. 2022. Streaming Algorithms for Diversity Maximization with Fairness Constraints. In 2022 IEEE 38th International Conference on Data Engineering (ICDE), pages 41-53. [arXiv] [Link]

• Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, and Michael Mathioudakis. 2022. Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. In Proceedings of the ACM Web Conference 2022 (WWW 2022),  pages 2719-2728. (Best Paper Award) [arXiv] [Link] [Extended Abstract@IJCAI 2023]

2021

• Yanhao Wang, Michael Mathioudakis, Yuchen Li, and Kian-Lee Tan. 2021. 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), pages 138-152. [Code] [Link]

• Yanhao Wang, Francesco Fabbri, and Michael Mathioudakis. 2021. Fair and Representative Subset Selection from Data Streams. In Proceedings of the Web Conference 2021 (WWW 2021), pages 1340-1350. [arXiv] [Code] [Link]

• Yanhao Wang, Yuchen Li, Raymond Chi-Wing Wong, and Kian-Lee Tan. 2021. A Fully Dynamic Algorithm for k-Regret Minimizing Sets. In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pages 1631-1642. [arXiv] [Code] [Link]

2020

• Jingjing Wang*, Yanhao Wang*, Wenjun Jiang, Yuchen Li, and Kian-Lee Tan. 2020. Efficient Sampling Algorithms for Approximate Temporal Motif Counting. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pages 1505-1514. (* for equal contribution). [arXiv] [Code] [Link]

2019

• Yanhao Wang, Yuchen Li, and Kian-Lee Tan. 2019. Coresets for Minimum Enclosing Balls over Sliding Windows. In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD  2019), pages 314-323. [arXiv] [Code] [Link]

• Yanhao Wang, Yuchen Li, and Kian-Lee Tan. 2019. Semantic and Influence aware k-Representative Queries over Social Streams. In Proceedings of the 22nd International Conference on Extending Database Technology (EDBT 2019), pages 181-192. [arXiv] [Link] [Slides]

2018

• Mo Sha, Yuchen Li, Yanhao Wang, Wentian Guo, and Kian-Lee Tan. 2018. River: A Real-time Influence Monitoring System on Social Media Streams. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW), pages 1429-1434. [Link] [PDF]

• Yanhao Wang, Yuchen Li, and Kian-Lee Tan. 2018. A Sliding-Window Framework for Representative Subset Selection. In 2018 IEEE 34th International Conference on Data Engineering (ICDE), pages 1268-1271. [Link] [PDF] [Code]

2017

• Yanhao Wang, Qi Fan, Yuchen Li, and Kian-Lee Tan. 2017. Real-time influence maximization on dynamic social streams. Proceedings of the VLDB Endowment, 10(7):805-816. [Link] [arXiv] [Code]

2013

• Xin Zhou, Xiao Zhang, Yanhao Wang, Rui Li, and Shan Wang. 2013. Efficient distributed multi-dimensional index for big data management. In International Conference on Web-Age Information Management (WAIM 2013), pages 130-141. [Link]