Zhifeng Bao
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Shixun Huang
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Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects
Representative Time Series Discovery for Data Exploration
Cost-effective Data Labelling for Graph Neural Networks
Optimizing Data Acquisition to Enhance Machine Learning Performance
Managing Conflicting Interests of Stakeholders in Influencer Marketing
Shortest Paths Discovery in Uncertain Networks via Transfer Learning
Influence Maximization in Real-World Closed Social Networks
Representative Routes Discovery From Massive Trajectories
Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach
Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Finding Temporal Influential Users over Evolving Social Networks
A Unified Processing Paradigm for Interactive Location-based Web Search
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