Bo Hui
Orcid: 0009-0008-4237-9641Affiliations:
- 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 25 papers
between 2020 and 2025.
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Bibliography
2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
CoRR, 2024
Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning.
CoRR, 2024
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach.
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.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR, 2021
sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs.
CoRR, 2021
Indoor Navigation for Users with Mobility Aids Using Smartphones and Neighborhood Networks.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
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.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020