Kaize Shi

According to our database, Kaize Shi authored at least 27 papers between 2018 and 2024.

Collaborative distances:

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

2024

Deep Coupling Network for Multivariate Time Series Forecasting.

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu

ACM Trans. Inf. Syst., September, 2024

Multiple Knowledge-Enhanced Meteorological Social Briefing Generation.

Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu

IEEE Trans. Comput. Soc. Syst., April, 2024

Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery.

Yong Wu, Guanglong Ou, Tianbao Huang, Xiaoli Zhang, Chunxiao Liu, Zhi Liu, Zhibo Yu, Hongbin Luo, Chi Lu, Kaize Shi, Leiguang Wang, Weiheng Xu

Remote. Sens., April, 2024

Expert-Guided Extinction of Toxic Tokens for Debiased Generation.

Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li

CoRR, 2024

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation.

Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu

CoRR, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu

CoRR, 2024

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning.

Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu

CoRR, 2024

A topic-controllable keywords-to-text generator with knowledge base network.

Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu

CAAI Trans. Intell. Technol., 2024

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement.

Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract).

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Application of Social Sensors in Natural Disasters Emergency Management: A Review.

Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu

IEEE Trans. Comput. Soc. Syst., December, 2023

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu

IEEE Trans. Knowl. Data Eng., April, 2023

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following.

Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li

CoRR, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

AMR-TST: Abstract Meaning Representation-based Text Style Transfer.

Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.

Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao

CoRR, 2022

2021

Social Signal-Driven Knowledge Automation: A Focus on Social Transportation.

Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanjuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2021

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu

Knowl. Based Syst., 2021

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings.

Kaize Shi, Yusen Wang, Hao Lu, Yifan Zhu, Zhendong Niu

Inf. Process. Manag., 2021

Improving University Faculty Evaluations via multi-view Knowledge Graph.

Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu

Future Gener. Comput. Syst., 2021

Source camera identification for re-compressed images: A model perspective based on tri-transfer learning.

Guowen Zhang, Bo Wang, Fei Wei, Kaize Shi, Yue Wang, Xue Sui, Meineng Zhu

Comput. Secur., 2021

2020

Automatic generation of meteorological briefing by event knowledge guided summarization model.

Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu

Knowl. Based Syst., 2020

Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization.

Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu

Neurocomputing, 2020

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network.

Kaize Shi, Changjin Gong, Hao Lu, Yifan Zhu, Zhendong Niu

Future Gener. Comput. Syst., 2020

A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks.

Yusen Wang, Kaize Shi, Zhendong Niu

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

2019

Hierarchical Text-Label Integrated Attention Network for Document Classification.

Changjin Gong, Kaize Shi, Zhendong Niu

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference (HPCCT 2019) and of the 2nd International Conference on Big Data and Artificial Intelligence (BDAI 2019), Guangzhou, China, June 22, 2019

2018

Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model.

Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv, Zhendong Niu

Sensors, 2018