Efficient Distributed Multi-dimensional Index for Big Data Management. - Xin Zhou; Xiao Zhang 001; Yanhao Wang 001; Rui Li; Shan Wang 001 (WAIM, 2013)

Efficient Streaming Algorithms for Submodular Maximization with Multi-Knapsack Constraints. - Yanhao Wang 001; Yuchen Li 001; Kian-Lee Tan (CoRR, 2017)

Real-Time Influence Maximization on Dynamic Social Streams. - Yanhao Wang 001; Qi Fan; Yuchen Li 001; Kian-Lee Tan (Proc. VLDB Endow., 2017)

A Sliding-Window Framework for Representative Subset Selection. - Yanhao Wang 001; Yuchen Li 001; Kian-Lee Tan (ICDE, 2018)

River: A Real-Time Influence Monitoring System on Social Media Streams. - Mo Sha 002; Yuchen Li 001; Yanhao Wang 001; Wentian Guo; Kian-Lee Tan (ICDM Workshops, 2018)

Influence Maximization on Social Graphs: A Survey. - Yuchen Li 001; Ju Fan; Yanhao Wang 001; Kian-Lee Tan (IEEE Trans. Knowl. Data Eng., 2018)

Location-aware Influence Maximization over Dynamic Social Streams. - Yanhao Wang 001; Yuchen Li 001; Ju Fan; Kian-Lee Tan (ACM Trans. Inf. Syst., 2018)

Semantic and Influence aware k-Representative Queries over Social Streams. - Yanhao Wang 001; Yuchen Li 001; Kian-Lee Tan (EDBT, 2019)

Coresets for Minimum Enclosing Balls over Sliding Windows. - Yanhao Wang 001; Yuchen Li 001; Kian-Lee Tan (KDD, 2019)

Efficient Representative Subset Selection over Sliding Windows. - Yanhao Wang 001; Yuchen Li 001; Kian-Lee Tan (IEEE Trans. Knowl. Data Eng., 2019)

Efficient Sampling Algorithms for Approximate Temporal Motif Counting. - Jingjing Wang 004; Yanhao Wang 001; Wenjun Jiang; Yuchen Li 001; Kian-Lee Tan (CIKM, 2020)

GRMR: Generalized Regret-Minimizing Representatives. - Yanhao Wang 001; Michael Mathioudakis; Yuchen Li 001; Kian-Lee Tan (CoRR, 2020)

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version). - Jingjing Wang 004; Yanhao Wang 001; Wenjun Jiang; Yuchen Li 001; Kian-Lee Tan (CoRR, 2020)

Streaming Submodular Maximization with Fairness Constraints. - Yanhao Wang 001; Francesco Fabbri; Michael Mathioudakis (CoRR, 2020)

A Fully Dynamic Algorithm for k-Regret Minimizing Sets. - Yanhao Wang 001; Yuchen Li 001; Raymond Chi-Wing Wong; Kian-Lee Tan (ICDE, 2021)

Minimum Coresets for Maxima Representation of Multidimensional Data. - Yanhao Wang 001; Michael Mathioudakis; Yuchen Li 001; Kian-Lee Tan (PODS, 2021)

Fair and Representative Subset Selection from Data Streams. - Yanhao Wang 001; Francesco Fabbri; Michael Mathioudakis (WWW, 2021)

A survey of typical attributed graph queries. - Yanhao Wang 001; Yuchen Li 001; Ju Fan; Chang Ye; Mingke Chai (World Wide Web, 2021)

Robustness of Sketched Linear Classifiers to Adversarial Attacks. - Ananth Mahadevan; Arpit Merchant; Yanhao Wang 001; Michael Mathioudakis (CIKM, 2022)

Streaming Algorithms for Diversity Maximization with Fairness Constraints. - Yanhao Wang 001; Francesco Fabbri; Michael Mathioudakis (ICDE, 2022)

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. - Francesco Fabbri; Yanhao Wang 001; Francesco Bonchi; Carlos Castillo 001; Michael Mathioudakis (WWW, 2022)

Happiness Maximizing Sets under Group Fairness Constraints (Technical Report). - Jiping Zheng 001; Yuan Ma; Wei Ma; Yanhao Wang 001; Xiaoyang Wang 002 (CoRR, 2022)

Balancing Utility and Fairness in Submodular Maximization (Technical Report). - Yanhao Wang 001; Yuchen Li 001; Francesco Bonchi; Ying Wang (CoRR, 2022)

Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams. - Jingjing Wang 004; Yanhao Wang 001; Wenjun Jiang; Yuchen Li 001; Kian-Lee Tan (CoRR, 2022)

Happiness Maximizing Sets under Group Fairness Constraints. - Jiping Zheng 001; Yuan Ma; Wei Ma; Yanhao Wang 001; Xiaoyang Wang 002 (Proc. VLDB Endow., 2022)

Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization. - Yanhao Wang 001; Jiping Zheng 001; Fanxu Meng (AAAI, 2023)

SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search. - Qiang Huang; Yanhao Wang 001; Anthony K. H. Tung (AAAI, 2023)

A Customized Text Sanitization Mechanism with Differential Privacy. - Sai Chen; Fengran Mo; Yanhao Wang 001; Cen Chen 001; Jian-Yun Nie; Chengyu Wang 001; Jamie Cui (ACL (Findings), 2023)

Opinion-aware Influence Maximization in Online Social Networks. - Ying Wang; Yanhao Wang 001 (DSIT, 2023)

Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. - Jia Li; Yanhao Wang 001; Arpit Merchant (ECAI, 2023)

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). - Francesco Fabbri; Yanhao Wang 001; Francesco Bonchi; Carlos Castillo 001; Michael Mathioudakis (IJCAI, 2023)

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. - Yanhao Wang 001; Michael Mathioudakis; Jia Li; Francesco Fabbri (SDM, 2023)

Graph Summarization via Node Grouping: A Spectral Algorithm. - Arpit Merchant; Michael Mathioudakis; Yanhao Wang 001 (WSDM, 2023)

Workload-aware and Learned Z-Indexes. - Sachith Pai; Michael Mathioudakis; Yanhao Wang 001 (CoRR, 2023)

Sampling Algorithms for Butterfly Counting on Temporal Bipartite Graphs. - Jiaxi Pu; Yanhao Wang 001; Yuchen Li 001; Xuan Zhou 001 (CoRR, 2023)

FAFEnet: A fast and accurate model for automatic license plate detection and recognition. - Xin Zhou; Yao Cheng; Liling Jiang; Bo Ning 002; Yanhao Wang 001 (IET Image Process., 2023)

Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach. - Jiping Zheng 001; Wei Ma; Yanhao Wang 001; Xiaoyang Wang 002 (IEEE Trans. Knowl. Data Eng., 2023)

Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models. - Yanhao Wang 001; Francesco Fabbri; Michael Mathioudakis; Jia Li (Entropy, 2023)

SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling. - Xin Zhou; Kun Tian; Zihan Zhou; Bo Ning 002; Yanhao Wang 001 (Remote. Sens., 2023)

Coresets for Deletion-Robust k-Center Clustering. - Ruien Li; Yanhao Wang 001; Michael Mathioudakis (CIKM, 2024)

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. - Huimin Chen; Chengyu Wang 001; Yanhao Wang 001; Cen Chen 001; Yinggui Wang (LREC/COLING, 2024)

Fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling. - Jiaxi Pu; Yanhao Wang 001; Yuchen Li 001; Xuan Zhou 001 (DASFAA (Workshops), 2024)

WaZI: A Learned and Workload-aware Z-Index. - Sachith Pai; Michael Mathioudakis; Yanhao Wang 001 (EDBT, 2024)

Balancing Utility and Fairness in Submodular Maximization. - Yanhao Wang 001; Yuchen Li 001; Francesco Bonchi; Ying Wang (EDBT, 2024)

Hybrid Regret Minimization: A Submodular Approach (Extended Abstract). - Jiping Zheng 001; Fanxu Meng; Yanhao Wang 001; Xiaoyang Wang 002; Sheng Wang 007; Yuan Ma; Zhiyang Hao (ICDE, 2024)

Discovering Personalized Characteristic Communities in Attributed Graphs. - Yudong Niu; Yuchen Li 001; Panagiotis Karras; Yanhao Wang 001; Zhao Li 007 (ICDE, 2024)

FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. - Qianyi Zhao; Chen Qu 001; Cen Chen 001; Mingyuan Fan 003; Yanhao Wang 001 (ICPADS, 2024)

Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation. - Bo Tao; Huimin Chen; Huazheng Pan; Yanhao Wang 001; Zhiyun Chen (IJCNN, 2024)

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. - Yiping Wang; Yanhao Wang 001; Cen Chen 001 (KDD, 2024)

How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs. - Hanhua Xiao; Yuchen Li 001; Yanhao Wang 001; Panagiotis Karras; Kyriakos Mouratidis; Natalia Rozalia Avlona (KDD, 2024)

Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. - Yi Zhou; Yanhao Wang 001; Long Teng; Qiang Huang; Cen Chen 001 (UAI, 2024)

Topic-aware Most Influential Community Search in Social Networks. - Long Teng; Yanhao Wang 001 (CoRR, 2024)

Diversity-Aware k-Maximum Inner Product Search Revisited. - Qiang Huang; Yanhao Wang 001; Yiqun Sun; Anthony Kum Hoe Tung (CoRR, 2024)

DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report). - Yiping Wang; Yanhao Wang 001; Cen Chen 001 (CoRR, 2024)

PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models. - Qian Zhang; Panfeng Chen; Jiali Li; Linkun Feng; Shuyu Liu; Heng Zhao; Mei Chen; Hui Li 046; Yanhao Wang 001 (CoRR, 2024)

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering. - Junxiao Xue; Quan Deng; Fei Yu; Yanhao Wang 001; Jun Wang; Yuehua Li (CoRR, 2024)

Multi-level feature enhancement network for object detection in sonar images. - Xin Zhou; Zihan Zhou; Manying Wang; Bo Ning 002; Yanhao Wang 001; Pengli Zhu (J. Vis. Commun. Image Represent., 2024)

Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach. - Adriano Fazzone; Yanhao Wang 001; Francesco Bonchi (Trans. Mach. Learn. Res., 2024)

Federated Submodular Maximization With Differential Privacy. - Yanhao Wang 001; Tianchen Zhou; Cen Chen 001; Yinggui Wang (IEEE Internet Things J., 2024)

Hybrid Regret Minimization: A Submodular Approach. - Jiping Zheng 001; Fanxu Meng; Yanhao Wang 001; Xiaoyang Wang 002; Sheng Wang 007; Yuan Ma; Zhiyang Hao (IEEE Trans. Knowl. Data Eng., 2024)

DiversiNews: Enriching News Consumption with Relevant yet Diverse News Articles Retrieval. - Yiqun Sun; Qiang Huang; Yanhao Wang 001; Anthony K. H. Tung (Proc. VLDB Endow., 2024)

On data efficiency of univariate time series anomaly detection models. - Wu Sun; Hui Li 046; Qingqing Liang; Xiaofeng Zou; Mei Chen; Yanhao Wang 001 (J. Big Data, 2024)

SLPerf: A Research Library and Benchmark Framework for Split Learning. - Zhanyi Hu; Tianchen Zhou; Bingzhe Wu; Cen Chen 001; Yanhao Wang 001 (ICDEW, 2025)

A Sketch Propagation Framework for Hub Queries on Unmaterialized Relational Graphs. - Yudong Niu; Yuchen Li 001; Panagiotis Karras; Yanhao Wang 001 (ICDE, 2025)

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. - Die Chen; Zhiwen Li; Mingyuan Fan 003; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICLR, 2025)

AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. - Tianchen Zhou; Zhongjie Duan; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICMR, 2025)

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. - Zhiwen Li; Die Chen; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Yanhao Wang 001; Wenmeng Zhou (WWW, 2025)

A Review and Experimental Evaluation on Split Learning. - Zhanyi Hu; Tianchen Zhou; Bingzhe Wu; Cen Chen 001; Yanhao Wang 001 (Future Internet, 2025)

Topic-aware most influential community search in social networks. - Long Teng; Yanhao Wang 001; Zhe Lin; Fei Yu (Neurocomputing, 2025)

A reinforcement learning approach to edge suggestion for fair information access on social networks. - Fangzheng Wang; Yanhao Wang 001; Jingjing Wang 004; Minghao Zhao 001 (Knowl. Based Syst., 2025)

NSC-SSNet: A Self-Supervised Network With Neighborhood Subsampling and Calibration Constraints for Sonar Image Denoising. - Yapei Zhang; Yancheng Liu; Yanhao Wang 001; Fei Yu (IEEE Geosci. Remote. Sens. Lett., 2025)

LLM-based Dynamic Differential Testing for Database Connectors with Reinforcement Learning-Guided Prompt Selection. - Ce Lyu; Minghao Zhao 001; Yanhao Wang 001; Liang Jie (CoRR, 2025)

Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition. - Hao Wu; Changzheng Wei; Yanhao Wang 001; Li Lin; Yilong Leng; Shiyu He; Minghao Zhao 001; Hanghang Wu; Ying Yan 002; Aoying Zhou (CoRR, 2025)