Kaixi Hu

20 papers A* 1A 1Misc 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CKADisor: Central Kernel-Aligned Distillation for Efficient Event-Driven Object Recognition.
IEEE Signal Process. Lett.
Ruiqi Luo, Ran Jin, Kaixi Hu, Chenmiao Gao, Xinrong Hu
2026 A* conf
Hyena Operator for Fast Sequential Recommendation.
WWW
Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi, Jingling Yuan
2026 J jnl
Hyena Operator for Fast Sequential Recommendation.
CoRR
Jiahao Liu, Lin Li, Zhiyuan Li, Kaixi Hu, Kaize Shi, Jingling Yuan
2025 — conf
Bridging Dependency Enhanced Counterfactual Supporting for Multi-hop Question Generation.
BESC (1)
Kaixi Hu, Lin Li, Haohan Zhang, Jianwei Zhang, Xiaohui Tao
2025 J jnl
Certified Signed Graph Unlearning.
CoRR
Junpeng Zhao, Lin Li, Kaixi Hu, Kaize Shi, Jingling Yuan
2025 J jnl
HiFIRec: Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation.
CoRR
Ruiqi Luo, Ran Jin, Zhenglong Li, Kaixi Hu, Xiaohui Tao, Lin Li
2024 — conf
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction.
DASFAA (7)
Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu
2024 J jnl
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction.
CoRR
Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu
2024 J jnl
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics.
ACM Trans. Inf. Syst.
Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao, Guandong Xu
2024 J jnl
Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction.
IEEE Signal Process. Lett.
Kaixi Hu, Lin Li, Xiaohui Tao, Jianwei Zhang
2023 J jnl
Information fusion in crime event analysis: A decade survey on data, features and models.
Inf. Fusion
Kaixi Hu, Lin Li, Xiaohui Tao, Juan D. Velásquez, Patrick J. Delaney
2022 — conf
Modeling Sequential Representation with Interaction Dynamics for Social Prediction.
BESC
Kaixi Hu, Lin Li
2022 — conf
Noise-Robust Semi-supervised Multi-modal Machine Translation.
PRICAI (2)
Lin Li, Kaixi Hu, Turghun Tayir, Jianquan Liu, Kong Aik Lee
2022 J jnl
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
CoRR
Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao
2021 Misc conf
COOPNet: Multi-Modal Cooperative Gender Prediction in Social Media User Profiling.
ICASSP
Lin Li, Kaixi Hu, Yunpei Zheng, Jianquan Liu, Kong Aik Lee
2021 J jnl
DuroNet: A Dual-robust Enhanced Spatial-temporal Learning Network for Urban Crime Prediction.
ACM Trans. Internet Techn.
Kaixi Hu, Lin Li, Jianquan Liu, Daniel Sun
2021 — conf
Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments.
PRICAI (2)
Lin Li, Turghun Tayir, Kaixi Hu, Dong Zhou
2021 — conf
Text Description Generation from Videos via Deep Semantic Models.
APSIPA ASC
Lin Li, Kaixi Hu
2021 A conf
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
CIKM
Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao
2020 — conf
An Empirical Study on Ensemble Learning of Multimodal Machine Translation.
BigMM
Liang Tan, Lin Li, Yifeng Han, Dong Li, Kaixi Hu, Dong Zhou, Peipei Wang