| 2025 | CIKM | Efficient Knowledge Graph Unlearning with Zeroth-order Information. | Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui |
| 2025 | COLING | Knowledge Graph Unlearning with Schema. | Yang Xiao, Ruimeng Ye, Bo Hui |
| 2025 | ECAI | DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning. | Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui |
| 2025 | GECCO | Evolutionary Quadtree Pooling for Convolutional Neural Networks. | Po-Wei Harn, Bo Hui, Libo Sun, Wei-Shinn Ku |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | IJCNN | Optimized Local Updates in Federated Learning via Reinforcement Learning. | Ali Murad, Bo Hui, Wei-Shinn Ku |
| 2025 | KDD | 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 |
| 2024 | CCS | PLeak: Prompt Leaking Attacks against Large Language Model Applications. | Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao |
| 2024 | CIKM | Advancing Certified Robustness of Explanation via Gradient Quantization. | Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui |
| 2024 | ICIP | Bmt-Bench: A Benchmark Sports Dataset For Video Generation. | Ziang Shi, Yang Xiao, Da Yan, Min-Te Sun, Wei-Shinn Ku, Bo Hui |
| 2024 | VR | Integration of On-Skin Interface into Cave Automatic Virtual Environment (CAVE-Like System). | Bo Hui, Leith Kin Yip Chan |
| 2024 | SP | SneakyPrompt: Jailbreaking Text-to-image Generative Models. | Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao |
| 2023 | AAAI | Constrained Market Share Maximization by Signal-Guided Optimization. | Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku |
| 2023 | DSN | Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. | Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao |
| 2023 | GECCO | 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 |
| 2023 | ICLR | Rethinking Graph Lottery Tickets: Graph Sparsity Matters. | Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku |
| 2022 | ECCV | Addressing Heterogeneity in Federated Learning via Distributional Transformation. | Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao |
| 2022 | EMNLP | A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. | Bo Hui, Tian Xia, Wei-Shinn Ku |
| 2022 | ICDE | Time-sensitive POI Recommendation by Tensor Completion with Side Information. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2022 | KDD | Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space. | Bo Hui, Wei-Shinn Ku |
| 2021 | ICDE | EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. | Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku |
| 2021 | ICDM | Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | KDD | TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | NDSS | Practical Blind Membership Inference Attack via Differential Comparisons. | Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao |
| 2020 | CIKM | Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. | Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang |