Bo Hui

According to our database, Bo Hui authored at least 34 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Weak-to-Strong Generalization with Failure Trajectories: A Tree-based Approach to Elicit Optimal Policy in Strong Models.

Ruimeng Ye, Zihan Wang, Yang Xiao, Zinan Ling, Manling Li, Bo Hui

CoRR, July, 2025

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models.

Yang Xiao, Gen Li, Jie Ji, Ruimeng Ye, Xiaolong Ma, Bo Hui

CoRR, July, 2025

Optimized Local Updates in Federated Learning via Reinforcement Learning.

Ali Murad, Bo Hui, Wei-Shinn Ku

CoRR, June, 2025

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization.

Gen Li, Yang Xiao, Jie Ji, Kaiyuan Deng, Bo Hui, Linke Guo, Xiaolong Ma

CoRR, April, 2025

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing.

Yang Xiao, Wang Lu, Jie Ji, Ruimeng Ye, Gen Li, Xiaolong Ma, Bo Hui

CoRR, March, 2025

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.

Yuchen Fang, Haiyong Luo, Fang Zhao, Poly Z. H. Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang

IEEE Trans. Intell. Veh., January, 2025

Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning.

Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui

CoRR, January, 2025

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.

Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Evolutionary Quadtree Pooling for Convolutional Neural Networks.

Po-Wei Harn, Bo Hui, Libo Sun, Wei-Shinn Ku

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Knowledge Graph Unlearning with Schema.

Yang Xiao, Ruimeng Ye, Bo Hui

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning.

Ruimeng Ye, Yang Xiao, Bo Hui

CoRR, 2024

A Survey of Lottery Ticket Hypothesis.

Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui

CoRR, 2024

Visualizing and Analyzing Human Activity Patterns through Graph-Based Methods.

Saima Ahmed Rahin, Bo Hui, Wanwan Li

Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Image Generation of Egyptian Hieroglyphs.

Song Gao, Bo Hui, Wanwan Li

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

Bmt-Bench: A Benchmark Sports Dataset For Video Generation.

Ziang Shi, Yang Xiao, Da Yan, Min-Te Sun, Wei-Shinn Ku, Bo Hui

Proceedings of the IEEE International Conference on Image Processing, 2024

Advancing Certified Robustness of Explanation via Gradient Quantization.

Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Rethinking Graph Lottery Tickets: Graph Sparsity Matters.

Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Sai Deepthi Yeddula, Chen Jiang, Bo Hui, Wei-Shinn Ku

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.

Po-Wei Harn, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku

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

Constrained Market Share Maximization by Signal-Guided Optimization.

Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

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

2022

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

Bo Hui, Wenlu Wang, Jiao Yu, Zhitao Gong, Wei-Shinn Ku, Min-Te Sun, Hua Lu

CoRR, 2022

Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space.

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.

Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku

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

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

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.

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.

Po-Wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, Wei-Shinn Ku

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang

CoRR, 2021

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

Jie Zhang, Bo Hui, Po-Wei Harn, Min-Te Sun, Wei-Shinn Ku

CoRR, 2021

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

Bo Hui, Chen Jiang, Pavani Ankireddy, Wenlu Wang, Wei-Shinn Ku

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

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

Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku

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.

Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku

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

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

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.

Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang

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