Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. - Bo Hui 001; Da Yan 001; Wei-Shinn Ku; Wenlu Wang (CIKM, 2020)

Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. - Bo Hui 001; Da Yan 001; Wei-Shinn Ku (IEEE BigData, 2021)

EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. - Bo Hui 001; Haiquan Chen; Da Yan 001; Wei-Shinn Ku (ICDE, 2021)

Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (ICDM, 2021)

TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (KDD, 2021)

Indoor Navigation for Users with Mobility Aids Using Smartphones and Neighborhood Networks. - Bo Hui 001; Chen Jiang; Pavani Ankireddy; Wenlu Wang; Wei-Shinn Ku (MSN, 2021)

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs. - Jie Zhang; Bo Hui 001; Po-Wei Harn; Min-Te Sun; Wei-Shinn Ku (CoRR, 2021)

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (CoRR, 2021)

IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket. - Po-Wei Harn; Sai Deepthi Yeddula; Bo Hui 001; Jie Zhang; Libo Sun; Min-Te Sun; Wei-Shinn Ku (IEEE Big Data, 2022)

APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. - Tian Xia 006; Bo Hui 001; Wei-Shinn Ku (IEEE Big Data, 2022)

A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. - Bo Hui 001; Tian Xia 006; Wei-Shinn Ku (EMNLP, 2022)

Time-sensitive POI Recommendation by Tensor Completion with Side Information. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (ICDE, 2022)

Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space. - Bo Hui 001; Wei-Shinn Ku (KDD, 2022)

RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques. - Bo Hui 001; Wenlu Wang; Jiao Yu; Zhitao Gong; Wei-Shinn Ku; Min-Te Sun; Hua Lu 001 (CoRR, 2022)

Constrained Market Share Maximization by Signal-Guided Optimization. - Bo Hui 001; Yuchen Fang 001; Tian Xia 006; Sarp Aykent; Wei-Shinn Ku (AAAI, 2023)

A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization. - Po-Wei Harn; Bo Hui 001; Sai Deepthi Yeddula; Libo Sun; Min-Te Sun; Wei-Shinn Ku (GECCO Companion, 2023)

Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach. - Sai Deepthi Yeddula; Chen Jiang; Bo Hui 001; Wei-Shinn Ku (SIGSPATIAL/GIS, 2023)

Rethinking Graph Lottery Tickets: Graph Sparsity Matters. - Bo Hui 001; Da Yan 001; Xiaolong Ma; Wei-Shinn Ku (ICLR, 2023)

Advancing Certified Robustness of Explanation via Gradient Quantization. - Yang Xiao; Zijie Zhang 001; Yuchen Fang 001; Da Yan 001; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CIKM, 2024)

Bmt-Bench: A Benchmark Sports Dataset For Video Generation. - Ziang Shi; Yang Xiao; Da Yan 001; Min-Te Sun; Wei-Shinn Ku; Bo Hui 001 (ICIP, 2024)

Image Generation of Egyptian Hieroglyphs. - Song Gao; Bo Hui 001; Wanwan Li (ICMLC, 2024)

Visualizing and Analyzing Human Activity Patterns through Graph-Based Methods. - Saima Ahmed Rahin; Bo Hui 001; Wanwan Li (MLMI, 2024)

A Survey of Lottery Ticket Hypothesis. - Bohan Liu; Zijie Zhang 001; Peixiong He; Zhensen Wang; Yang Xiao; Ruimeng Ye; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CoRR, 2024)

Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning. - Ruimeng Ye; Yang Xiao; Bo Hui 001 (CoRR, 2024)

Knowledge Graph Unlearning with Schema. - Yang Xiao; Ruimeng Ye; Bo Hui 001 (COLING, 2025)

Evolutionary Quadtree Pooling for Convolutional Neural Networks. - Po-Wei Harn; Bo Hui 001; Libo Sun; Wei-Shinn Ku (GECCO, 2025)

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. - Yuchen Fang 001; Yuxuan Liang; Bo Hui 001; Zezhi Shao; Liwei Deng 001; Xu Liu 014; Xinke Jiang; Kai Zheng 001 (KDD (1), 2025)

Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning. - Bohan Liu; Yang Xiao; Ruimeng Ye; Zinan Ling; Xiaolong Ma; Bo Hui 001 (CoRR, 2025)

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. - Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Poly Z. H. Sun; Yanjun Qin; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (IEEE Trans. Intell. Veh., 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 012; Xiaolong Ma; Bo Hui 001 (CoRR, 2025)

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization. - Gen Li 012; Yang Xiao; Jie Ji; Kaiyuan Deng; Bo Hui 001; Linke Guo; Xiaolong Ma (CoRR, 2025)

Optimized Local Updates in Federated Learning via Reinforcement Learning. - Ali Murad; Bo Hui 001; Wei-Shinn Ku (CoRR, 2025)

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models. - Yang Xiao; Gen Li 012; Jie Ji; Ruimeng Ye; Xiaolong Ma; Bo Hui 001 (CoRR, 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 001 (CoRR, 2025)

Efficient Knowledge Graph Unlearning with Zeroth-order Information. - Yang Xiao; Ruimeng Ye; Bohan Liu; Xiaolong Ma; Bo Hui 001 (CoRR, 2025)