Kaize Shi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Multivariate Time Series

Top Venues

IEEE Trans. Comput. Soc. Syst.

Future Gener. Comput. Syst.

Knowl. Based Syst.

Publications

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR (2024)
Yong Wu, Guanglong Ou, Tianbao Huang, Xiaoli Zhang, Chunxiao Liu, Zhi Liu, Zhibo Yu, Hongbin Luo, Chi Lu, Kaize Shi, Leiguang Wang, Weiheng Xu
Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery. Remote. Sens. 16 (8) (2024)
Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. CoRR (2024)
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. 42 (5) (2024)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). ICDE (2024)
Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR (2024)
Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR (2024)
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR (2024)
Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. 9 (3) (2024)
Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. CoRR (2024)
Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu
Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) (2023)
Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR (2023)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu
Application of Social Sensors in Natural Disasters Emergency Management: A Review. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu
AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) (2023)
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR (2022)
Kaize Shi, Yusen Wang, Hao Lu, Yifan Zhu, Zhendong Niu
EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. Inf. Process. Manag. 58 (4) (2021)
Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanjuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang
Social Signal-Driven Knowledge Automation: A Focus on Social Transportation. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117 (2021)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowl. Based Syst. 215 (2021)
Guowen Zhang, Bo Wang, Fei Wei, Kaize Shi, Yue Wang, Xue Sui, Meineng Zhu
Source camera identification for re-compressed images: A model perspective based on tri-transfer learning. Comput. Secur. 100 (2021)
Yusen Wang, Kaize Shi, Zhendong Niu
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. SEKE (2020)
Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu
Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowl. Based Syst. 192 (2020)
Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. Neurocomputing 415 (2020)
Kaize Shi, Changjin Gong, Hao Lu, Yifan Zhu, Zhendong Niu
Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. Future Gener. Comput. Syst. 102 (2020)
Changjin Gong, Kaize Shi, Zhendong Niu
Hierarchical Text-Label Integrated Attention Network for Document Classification. HPCCT/BDAI (2019)
Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv, Zhendong Niu
Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model. Sensors 18 (12) (2018)