Bo Hui

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Convolutional Network

Top Venues

Publications

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 (2024)
Song Gao, Bo Hui, Wanwan Li
Image Generation of Egyptian Hieroglyphs. ICMLC (2024)
Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku
Constrained Market Share Maximization by Signal-Guided Optimization. AAAI (2023)
Chao Jiang, Bo Hui, Bohan Liu, Da Yan
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model. CoRR (2023)
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. ICLR (2023)
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)
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. USENIX Security Symposium (2023)
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN (2023)
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR (2023)
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. CoRR (2023)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
Time-sensitive POI Recommendation by Tensor Completion with Side Information. ICDE (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR (2022)
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 (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) (2022)
Bo Hui, Tian Xia, Wei-Shinn Ku
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. EMNLP (2022)
Bo Hui, Wei-Shinn Ku
Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space. KDD (2022)
Tian Xia, Bo Hui, Wei-Shinn Ku
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. Big Data (2022)
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. Big Data (2022)
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)
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS (2021)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. ICDM (2021)
Bo Hui, Da Yan, Wei-Shinn Ku
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. IEEE BigData (2021)
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR (2021)
Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. ICDE (2021)
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 (2021)
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 (2021)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. KDD (2021)
Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. CIKM (2020)
Yiling Yuan, Tao Yang, Yulin Hu, Hui Feng, Bo Hui
Two-Timescale Resource Allocation for Cooperative D2D Communication: A Matching Game Approach. CoRR (2020)
Shu-Feng Duan, Ligu Zhu, Yujing Shi, Lei Zhang, Bo Hui
Frequency Decomposition Model of Popularity Evolution in Online Social Media. APSIPA (2019)