Kaixi Hu

According to our database, Kaixi Hu authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

CKADisor: Central Kernel-Aligned Distillation for Efficient Event-Driven Object Recognition.

Ruiqi Luo, Ran Jin, Kaixi Hu, Chenmiao Gao, Xinrong Hu

IEEE Signal Process. Lett., 2026

Hyena Operator for Fast Sequential Recommendation.

Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi, Jingling Yuan

Proceedings of the ACM Web Conference 2026, 2026

2025

Certified Signed Graph Unlearning.

Junpeng Zhao, Lin Li, Kaixi Hu, Kaize Shi, Jingling Yuan

CoRR, November, 2025

HiFIRec: Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation.

Ruiqi Luo, Ran Jin, Zhenglong Li, Kaixi Hu, Xiaohui Tao, Lin Li

CoRR, September, 2025

Bridging Dependency Enhanced Counterfactual Supporting for Multi-hop Question Generation.

Kaixi Hu, Lin Li, Haohan Zhang, Jianwei Zhang, Xiaohui Tao

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

Prompt-Based Zero-Shot Learning in Large Language Models for Recommender Systems: A Reproducibility Study.

Yiran An, Lin Li, Kaixi Hu, Xiaohui Tao, Jianwei Zhang

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics.

Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao, Guandong Xu

ACM Trans. Inf. Syst., May, 2024

Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction.

Kaixi Hu, Lin Li, Xiaohui Tao, Jianwei Zhang

IEEE Signal Process. Lett., 2024

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction.

Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Information fusion in crime event analysis: A decade survey on data, features and models.

Kaixi Hu, Lin Li, Xiaohui Tao, Juan D. Velásquez, Patrick J. Delaney

Inf. Fusion, December, 2023

2022

Noise-Robust Semi-supervised Multi-modal Machine Translation.

Lin Li, Kaixi Hu, Turghun Tayir, Jianquan Liu, Kong Aik Lee

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Modeling Sequential Representation with Interaction Dynamics for Social Prediction.

Kaixi Hu, Lin Li

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021

DuroNet: A Dual-robust Enhanced Spatial-temporal Learning Network for Urban Crime Prediction.

Kaixi Hu, Lin Li, Jianquan Liu, Daniel Sun

ACM Trans. Internet Techn., 2021

Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments.

Lin Li, Turghun Tayir, Kaixi Hu, Dong Zhou

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

COOPNet: Multi-Modal Cooperative Gender Prediction in Social Media User Profiling.

Lin Li, Kaixi Hu, Yunpei Zheng, Jianquan Liu, Kong Aik Lee

Proceedings of the IEEE International Conference on Acoustics, 2021

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Text Description Generation from Videos via Deep Semantic Models.

Lin Li, Kaixi Hu

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

An Empirical Study on Ensemble Learning of Multimodal Machine Translation.

Liang Tan, Lin Li, Yifeng Han, Dong Li, Kaixi Hu, Dong Zhou, Peipei Wang

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020