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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
![[0009-0005-8926-9800]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0005-8926-9800")
— Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
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2020 – today
- 2025
[c19]Yang Xiao, Ruimeng Ye, Bo Hui:
Knowledge Graph Unlearning with Schema. COLING 2025: 3541-3546- 2024
- [c18]Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui:
Advancing Certified Robustness of Explanation via Gradient Quantization. CIKM 2024: 2596-2606 - [c17]Song Gao, Bo Hui, Wanwan Li:
Image Generation of Egyptian Hieroglyphs. ICMLC 2024: 389-397 - [c16]Saima Ahmed Rahin, Bo Hui, Wanwan Li:
Visualizing and Analyzing Human Activity Patterns through Graph-Based Methods. MLMI 2024: 247-259 - [i7]Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui:
A Survey of Lottery Ticket Hypothesis. CoRR abs/2403.04861 (2024) - [i6]Ruimeng Ye, Yang Xiao, Bo Hui:
Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning. CoRR abs/2410.12621 (2024) - [i5]Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng:
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. CoRR abs/2412.09972 (2024) - 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 - [i4]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR abs/2305.02190 (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 - [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
- [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 - [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) - 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
Coauthor Index
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