Parallel k-Skyband Computation on Multicore Architecture. - Xing Feng; Yunjun Gao; Tao Jiang 013; Lu Chen 001; Xiaoye Miao; Qing Liu 008 (APWeb, 2013)

On Efficient k-Skyband Query Processing over Incomplete Data. - Xiaoye Miao; Yunjun Gao; Lu Chen 001; Gang Chen 001; Qing Li 001; Tao Jiang 013 (DASFAA (1), 2013)

Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data. - Yunjun Gao; Xiaoye Miao; Huiyong Cui; Gang Chen 001; Qing Li 001 (Expert Syst. Appl., 2014)

Reverse k-nearest neighbor search in the presence of obstacles. - Yunjun Gao; Qing Liu 008; Xiaoye Miao; Jiacheng Yang (Inf. Sci., 2016)

k-dominant skyline queries on incomplete data. - Xiaoye Miao; Yunjun Gao; Gang Chen 001; Tianyi Zhang 003 (Inf. Sci., 2016)

SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information. - Xiaoye Miao; Yunjun Gao; Gang Chen 001; Huiyong Cui; Chong Guo; Weida Pan (Proc. VLDB Endow., 2016)

Processing Incomplete k Nearest Neighbor Search. - Xiaoye Miao; Yunjun Gao; Gang Chen 001; Baihua Zheng; Huiyong Cui (IEEE Trans. Fuzzy Syst., 2016)

Top-k Dominating Queries on Incomplete Data. - Xiaoye Miao; Yunjun Gao; Baihua Zheng; Gang Chen 001; Huiyong Cui (IEEE Trans. Knowl. Data Eng., 2016)

Efficient group-by reverse skyline computation. - Zonghui Wang; Yunjun Gao; Qing Liu 008; Xiaoye Miao; Qing Li 001; Chuan Li (World Wide Web, 2016)

On efficiently finding reverse k-nearest neighbors over uncertain graphs. - Yunjun Gao; Xiaoye Miao; Gang Chen 001; Baihua Zheng; Deng Cai 001; Huiyong Cui (VLDB J., 2017)

Continuous range-based skyline queries in road networks. - Xiaoyi Fu; Xiaoye Miao; Jianliang Xu; Yunjun Gao (World Wide Web, 2017)

Incomplete data management: a survey. - Xiaoye Miao; Yunjun Gao; Su Guo; Wanqi Liu (Frontiers Comput. Sci., 2018)

On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks. - Xiaoye Miao; Yunjun Gao; Su Guo; Gang Chen 001 (IEEE Trans. Knowl. Data Eng., 2018)

Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search. - Xiaoye Miao; Yunjun Gao; Linlin Zhou; Wei Wang 011; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2018)

Query Processing over Incomplete Databases - Yunjun Gao; Xiaoye Miao (Morgan & Claypool Publishers, 2018)

On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks (Extended Abstract). - Xiaoye Miao; Yunjun Gao; Su Guo; Gang Chen 001 (ICDE, 2019)

Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search (Extended Abstract). - Xiaoye Miao; Yunjun Gao; Linlin Zhou; Wei Wang 011; Qing Li 001 (ICDE, 2019)

A Hybrid Data Cleaning Framework using Markov Logic Networks. - Yunjun Gao; Congcong Ge; Xiaoye Miao; Haobo Wang 001; Bin Yao 002; Qing Li 001 (CoRR, 2019)

Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. - Lu Chen 001; Yunjun Gao; Ziquan Fang; Xiaoye Miao; Christian S. Jensen; Chenjuan Guo (Proc. VLDB Endow., 2019)

IHCS: An Integrated Hybrid Cleaning System. - Congcong Ge; Yunjun Gao; Xiaoye Miao; Lu Chen 001; Christian S. Jensen; Ziyuan Zhu (Proc. VLDB Endow., 2019)

Answering Skyline Queries over Incomplete Data with Crowdsourcing(Extended Abstract). - Xiaoye Miao; Yunjun Gao; Su Guo; Lu Chen 001; Jianwei Yin; Qing Li 001 (ICDE, 2020)

CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories. - Ziquan Fang; Yunjun Gao; Lu Pan; Lu Chen 001; Xiaoye Miao; Christian S. Jensen (SIGMOD Conference, 2020)

KGClean: An Embedding Powered Knowledge Graph Cleaning Framework. - Congcong Ge; Yunjun Gao; Honghui Weng; Chong Zhang; Xiaoye Miao; Baihua Zheng (CoRR, 2020)

Indexing Metric Spaces for Exact Similarity Search. - Lu Chen 001; Yunjun Gao; Xuan Song; Zheng Li; Xiaoye Miao; Christian S. Jensen (CoRR, 2020)

Collaborative topological filtering with multi-hop recurrent pathological aggregation. - Disheng Dong; Xiaolin Zheng; Xiaoye Miao (Knowl. Based Syst., 2020)

On Efficiently Monitoring Continuous Aggregate k Nearest Neighbors in Road Networks. - Xiaoye Miao; Yunjun Gao; Guanhua Mai; Gang Chen 001; Qing Li 001 (IEEE Trans. Mob. Comput., 2020)

Generative Semi-supervised Learning for Multivariate Time Series Imputation. - Xiaoye Miao; Yangyang Wu; Jun Wang; Yunjun Gao; Xudong Mao; Jianwei Yin (AAAI, 2021)

A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). - Congcong Ge; Yunjun Gao; Xiaoye Miao; Bin Yao 002; Haobo Wang 001 (ICDE, 2021)

Towards Query Pricing on Incomplete Data (Extended Abstract). - Xiaoye Miao; Yunjun Gao; Lu Chen 001; Huanhuan Peng; Jianwei Yin; Qing Li 001 (ICDE, 2021)

A trust-aware latent space mapping approach for cross-domain recommendation. - Guofang Ma; Yuexuan Wang; Xiaolin Zheng; Xiaoye Miao; Qianqiao Liang (Neurocomputing, 2021)

Efficient and Effective Data Imputation with Influence Functions. - Xiaoye Miao; Yangyang Wu; Lu Chen 001; Yunjun Gao; Jun Wang; Jianwei Yin (Proc. VLDB Endow., 2021)

Answering Skyline Queries Over Incomplete Data With Crowdsourcing. - Xiaoye Miao; Yunjun Gao; Su Guo; Lu Chen 001; Jianwei Yin; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

An Interactive Data Imputation System. - Yangyang Wu; Xiaoye Miao; Yuchen Peng; Lu Chen 001; Yunjun Gao; Jianwei Yin (DASFAA (3), 2022)

Reliable Community Search on Uncertain Graphs. - Xiaoye Miao; Yue Liu 009; Lu Chen 001; Yunjun Gao; Jianwei Yin (ICDE, 2022)

Maximizing Time-aware Welfare for Mixed Items. - Xiaoye Miao; Huanhuan Peng; Kai Chen; Yuchen Peng; Yunjun Gao; Jianwei Yin (ICDE, 2022)

Prediction of Maximum Absorption Wavelength Using Deep Neural Networks. - Jinning Shao; Yue Liu 009; Jiaqi Yan; Ze-Yi Yan; Yangyang Wu; Zhongying Ru; Jia-Yu Liao; Xiaoye Miao; Linghui Qian (J. Chem. Inf. Model., 2022)

A Hybrid Data Cleaning Framework Using Markov Logic Networks. - Congcong Ge; Yunjun Gao; Xiaoye Miao; Bin Yao 002; Haobo Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Towards Query Pricing on Incomplete Data. - Xiaoye Miao; Yunjun Gao; Lu Chen 001; Huanhuan Peng; Jianwei Yin; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Jointly Imputing Multi-View Data with Optimal Transport. - Yangyang Wu; Xiaoye Miao; Xinyu Huang; Jianwei Yin (AAAI, 2023)

Pricing Prediction Services for Profit Maximization with Incomplete Information. - Huanhuan Peng; Xiaoye Miao; Lu Chen 001; Yunjun Gao; Jianwei Yin (ICDE, 2023)

An Efficient Generative Data Imputation Toolbox with Adversarial Learning. - Yangyang Wu; Xiaoye Miao; Zilinghan Li; Shilan He; Xinkai Yuan; Jianwei Yin (ICDE, 2023)

Reallocation Mechanisms Under Distributional Constraints in the Full Preference Domain. - Jinshan Zhang 001; Bo Tang 010; Xiaoye Miao; Jianwei Yin (WINE, 2023)

Modern Data Pricing Models: Taxonomy and Comprehensive Survey. - Xiaoye Miao; Huanhuan Peng; Xinyu Huang; Lu Chen 001; Yunjun Gao; Jianwei Yin (CoRR, 2023)

Automatic Data Repair: Are We Ready to Deploy? - Wei Ni; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Jianwei Yin (CoRR, 2023)

Indexing Metric Spaces for Exact Similarity Search. - Lu Chen 001; Yunjun Gao; Xuan Song; Zheng Li; Yifan Zhu 002; Xiaoye Miao; Christian S. Jensen (ACM Comput. Surv., 2023)

Efficient and Effective Cardinality Estimation for Skyline Family. - Xiaoye Miao; Yangyang Wu; Jiazhen Peng; Yunjun Gao; Jianwei Yin (Proc. ACM Manag. Data, 2023)

On Dynamically Pricing Crowdsourcing Tasks. - Xiaoye Miao; Huanhuan Peng; Yunjun Gao; Zongfu Zhang; Jianwei Yin (ACM Trans. Knowl. Discov. Data, 2023)

An Experimental Survey of Missing Data Imputation Algorithms. - Xiaoye Miao; Yangyang Wu; Lu Chen 001; Yunjun Gao; Jianwei Yin (IEEE Trans. Knowl. Data Eng., 2023)

A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugs. - Zhongying Ru; Yangyang Wu; Jinning Shao; Jianwei Yin; Linghui Qian; Xiaoye Miao (Briefings Bioinform., 2023)

IterClean: An Iterative Data Cleaning Framework with Large Language Models. - Wei Ni; Kaihang Zhang; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Jianwei Yin (ACM TUR-C, 2024)

Methods for Monitoring the Photovoltaic Panel: A Review. - Yongheng Shang; Haiyu He; Zilun Zhang; Xiaoyu Zhang; Zhengwei Shen; Jianwei Yin; Xiaoye Miao; JunHan (Agro-Geoinformatics, 2024)

Online Query-Based Data Pricing with Time-Discounting Valuations. - Yicheng Fu; Xiaoye Miao; Huanhuan Peng; Chongning Na; Shuiguang Deng; Jianwei Yin (ICDE, 2024)

An Experimental Survey of Missing Data Imputation Algorithms (Extended Abstract). - Xiaoye Miao; Yangyang Wu; Lu Chen 001; Yunjun Gao; Jianwei Yin (ICDE, 2024)

Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract). - Yangyang Wu; Jun Wang; Xiaoye Miao; Wenjia Wang; Jianwei Yin (ICDE, 2024)

A truthful near-optimal mechanism for online linear packing-covering problem in the random order model. - Jinshan Zhang 001; Xiaoye Miao; Meng Xi 002; Tianyu Du; Jianwei Yin (Inf. Comput., 2024)

Differentiable and Scalable Generative Adversarial Models for Data Imputation. - Yangyang Wu; Jun Wang; Xiaoye Miao; Wenjia Wang; Jianwei Yin (IEEE Trans. Knowl. Data Eng., 2024)

Automatic Data Repair: Are We Ready to Deploy? - Wei Ni; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Shuwei Liang; Jianwei Yin (Proc. VLDB Endow., 2024)

Effective and Efficient Multi-View Imputation With Optimal Transport. - Yangyang Wu; Xiaoye Miao; Zi-ang Nan; Jinshan Zhang 001; Jianhu He; Jianwei Yin (IEEE Trans. Knowl. Data Eng., 2024)

GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models. - Mengyi Yan; Yaoshu Wang; Yue Wang 012; Xiaoye Miao; Jianxin Li 002 (Proc. ACM Manag. Data, 2024)

ZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning. - Wei Ni; Kaihang Zhang; Xiaoye Miao; Xiangyu Zhao 001; Yangyang Wu; Yaoshu Wang; Jianwei Yin (ICDE, 2025)

On Scalable Query Pricing in Data Marketplaces. - Huanhuan Peng; Xiaoye Miao; Yicheng Fu; Jinshan Zhang 001; Shuiguang Deng; Jianwei Yin (ICDE, 2025)

MISS: An Incomplete Tabular Data Representation System with Missing Mechanism Learning. - Yangyang Wu; Shuwei Liang; Lei Qiang; Xiaoye Miao; Xinkui Zhao; Junlan Cai; Yunjun Gao; Jianwei Yin (ICDE, 2025)

A Zero-Training Error Correction System with Large Language Models. - Yangyang Wu; Chen Yang; Mengying Zhu; Xiaoye Miao; Wei Ni; Meng Xi 002; Xinkui Zhao; Jianwei Yin (ICDE, 2025)

Fairness-Aware Classification over Incomplete Data. - Xiaoye Miao; Lei Qiang; Guilin Huang; Yangyang Wu; Jianwei Yin (SIGIR, 2025)

Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning. - Xiaoye Miao; Bin Li; Yangyang Wu; Meng Xi 002; Xinkui Zhao; Jianwei Yin (CoRR, 2025)

Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning. - Bin Li; Xiaoye Miao; Yongheng Shang; Xinkui Zhao; Shuiguang Deng; Jianwei Yin (CoRR, 2025)

Cost-aware prediction service pricing with incomplete information. - Huanhuan Peng; Xiaoye Miao; Jinshan Zhang 001; Yunjun Gao; Shuiguang Deng; Jianwei Yin (VLDB J., 2025)

Delta: A Learned Mixed Cost-based Query Optimization Framework. - Jiazhen Peng; Zheng Qu; Xiaoye Miao; Rong Zhu (CoRR, 2025)