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ORCIDBo Hui 0001
Person information
- affiliation: University of Tulsa, College of Engineering & Computer Science, OK, USA
- affiliation: Auburn University, Data Science and Engineering Lab, AB, USA
Other persons with the same name
- Bo Hui — disambiguation page
- Bo Hui 0002 — Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
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Conference and Workshop Papers
- 2023
[c15]Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku:
Constrained Market Share Maximization by Signal-Guided Optimization. AAAI 2023: 4330-4338- [c14]Po-Wei Harn
, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization. GECCO Companion 2023: 583-586 - [c13]Sai Deepthi Yeddula, Chen Jiang, Bo Hui, Wei-Shinn Ku:
Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach. SIGSPATIAL/GIS 2023: 56:1-56:4 - [c12]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. ICLR 2023 - 2022
- [c11]Po-Wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket. IEEE Big Data 2022: 931-941 - [c10]Tian Xia, Bo Hui, Wei-Shinn Ku:
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. IEEE Big Data 2022: 1740-1749 - [c9]Bo Hui, Tian Xia, Wei-Shinn Ku:
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. EMNLP 2022: 2822-2832 - [c8]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Time-sensitive POI Recommendation by Tensor Completion with Side Information. ICDE 2022: 205-217 - [c7]Bo Hui, Wei-Shinn Ku:
Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space. KDD 2022: 646-654 - 2021
- [c6]Bo Hui, Da Yan, Wei-Shinn Ku:
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. IEEE BigData 2021: 636-642 - [c5]Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku:
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. ICDE 2021: 1092-1103 - [c4]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. ICDM 2021: 1114-1119 - [c3]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. KDD 2021: 716-724 - [c2]Bo Hui, Chen Jiang, Pavani Ankireddy, Wenlu Wang, Wei-Shinn Ku:
Indoor Navigation for Users with Mobility Aids Using Smartphones and Neighborhood Networks. MSN 2021: 681-682 - 2020
- [c1]Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang:
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. CIKM 2020: 555-564
Informal and Other Publications
- 2023
- [i4]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR abs/2305.02190 (2023) - 2022
- [i3]Bo Hui, Wenlu Wang, Jiao Yu, Zhitao Gong, Wei-Shinn Ku, Min-Te Sun, Hua Lu:
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques. CoRR abs/2204.00747 (2022) - 2021
- [i2]Jie Zhang, Bo Hui, Po-Wei Harn, Min-Te Sun, Wei-Shinn Ku:
sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs. CoRR abs/2110.07570 (2021) - [i1]Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang:
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. CoRR abs/2112.02736 (2021)
Coauthor Index
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