Publications

(2022). TMN: Trajectory Matching Networks for Learning Similarity Computation. 2022 IEEE 38th International Conference on Data Engineering (ICDE).

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(2022). Neural Subgraph Counting with Wasserstein Estimator. 2022 ACM Special Interest Group in Management Of Data (SIGMOD).

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(2022). Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. 2022 IEEE 38th International Conference on Data Engineering (ICDE).

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(2022). Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs. World Wide Web 2022.

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(2022). Bipartite Graph Capsule Network. World Wide Web 2022.

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(2021). Powerful Graph of Graphs Neural Network for Structured Entity Analysis. World Wide Web 2021.

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(2021). Binarized Graph Neural Network. World Wide Web 2021.

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(2021). T3S: Effective Representation Learning for Trajectory Similarity Computation. 2021 IEEE 37th International Conference on Data Engineering (ICDE).

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(2020). EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. The VLDB Journal 2020.

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(2020). GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20.

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(2020). I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. Database Systems for Advanced Applications 2020.

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(2019). Skyline Nearest Neighbor Search on Multi-layer Graphs. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW).

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(2019). I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. 2019 IEEE 35th International Conference on Data Engineering (ICDE).

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