Bo Hui

Orcid: 0009-0008-9054-4437

Affiliations:

University of Tulsa, College of Engineering & Computer Science, OK, USA
Auburn University, Data Science and Engineering Lab, AB, USA

According to our database¹, Bo Hui authored at least 18 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Rethinking Graph Lottery Tickets: Graph Sparsity Matters.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Constrained Market Share Maximization by Signal-Guided Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques.

[BibT_eX]

[DOI]

CoRR, 2022

Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space.

[BibT_eX]

[DOI]

Bo Hui

Wei-Shinn Ku

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Time-sensitive POI Recommendation by Tensor Completion with Side Information.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space.

[BibT_eX]

[DOI]

Bo Hui

Tian Xia

Wei-Shinn Ku

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction.

[BibT_eX]

[DOI]

Tian Xia

Bo Hui

Wei-Shinn Ku

Proceedings of the IEEE International Conference on Big Data, 2022

IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Indoor Navigation for Users with Mobility Aids Using Smartphones and Neighborhood Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Node-Polysemy Aware Recommendation by Matrix Completion with Side Information.

[BibT_eX]

[DOI]

Bo Hui

Da Yan

Wei-Shinn Ku

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bo Hui

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