[25’ICCV] Yang Xiao, Wang Lu, Jie Ji, Ruimeng Ye, Gen Li, Xiaolong Ma, Bo Hui, “Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing”, in Proceedings of the International Conference on Computer Vision (ICCV 2025).

[25’ICCV] Gen Li, Yang Xiao, Jie Ji, Kaiyuan Deng, Bo Hui, Linke Guo, Xiaolong Ma, “Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization”, in Proceedings of the International Conference on Computer Vision (ICCV 2025).

[25’CIKM] Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui, “Efficient Knowledge Graph Unlearning with Zeroth-order Information" in the 34th ACM International Conference on Information and Knowledge Management (CIKM, 2025)

[25’ECAI] Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui, Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning” in the 28th European Conference on Artificial Intelligence (ECAI-2025).

[25’COLING] Yang Xiao, Ruimeng Ye, Bo Hui, “Knowledge Graph Unlearning with Schema" in the 31st International Conference on Computational Linguistics (COLING, 2025)

[24’CIKM] Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui, “Advancing Certified Robustness of Explanation via Gradient Quantization,” in 33rd ACM International Conference on Information and Knowledge Management (CIKM, 2024)

[23’ICLR] Bo Hui, Da Yan, Xiaolong Ma, and Wei-Shinn Ku, “Rethinking Graph Lottery Tickets: Graph Sparsity Matters,” in the 11th International Conference on Learning Representations (ICLR, 2023).

[23’AAAI] Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, and Wei-Shinn Ku, “Constrained Market Share Maximization by Signal-guided Optimization,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI, 2023).

[22’KDD] Bo Hui and Wei-Shinn Ku, “Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space,” in Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD, 2022).

[22’ICDE] Bo Hui, Da Yan, Haiquan Chen, and Wei-Shinn Ku, “Time-sensitive POI Recommendation by Tensor Completion with Side Information,” in Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE, 2022).

[22’EMNLP] Bo Hui, Tian Xia, and Wei-Shinn Ku, “A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space,” in Conference on Empirical Methods in Natural Language Processing (EMNLP, 2022).

[21’KDD] Bo Hui, Da Yan, Haiquan Chen, and Wei-Shinn Ku, “TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction,” in Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD, 2021).

[21’ICDE] Bo Hui, Haiquan Chen, Da Yan, and Wei-Shinn Ku, “EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction,” in Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE, 2021).

[21’ICDM] Bo Hui, Da Yan, Haiquan Chen, and Wei-Shinn Ku, “Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting,” in Proceedings of the 21st IEEE International Conference on Data Mining (ICDM, 2021).

[20’CIKM] Bo Hui, Da Yan, Wei-Shinn Ku, and Wenlu Wang, “Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach,” in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM, 2020).