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ORCIDKaize Shi
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2020 – today
- 2024
[j15]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): 585-594 (2024)- [j14]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): 1338 (2024) - [j13]Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu:
Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. IEEE Trans. Comput. Soc. Syst. 11(2): 2002-2013 (2024) - [j12]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): 127:1-127:28 (2024) - [c6]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: 5747-5748 - [c5]Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu:
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR 2024: 2870-2874 - [i7]Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu:
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. CoRR abs/2401.06827 (2024) - [i6]Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu:
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR abs/2402.11558 (2024) - [i5]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR abs/2402.15134 (2024) - [i4]Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu:
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. CoRR abs/2405.03085 (2024) - [i3]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR abs/2405.19299 (2024) - 2023
- [j11]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): 3143-3158 (2023) - [j10]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): 4178-4189 (2023) - [c4]Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu:
AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) 2023: 4231-4243 - [c3]Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu:
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) 2023: 180-194 - [i2]Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li:
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR abs/2308.04913 (2023) - 2022
- [i1]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 abs/2209.00654 (2022) - 2021
- [j9]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: 102076 (2021) - [j8]Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu:
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117: 181-192 (2021) - [j7]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): 102564 (2021) - [j6]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: 106744 (2021) - [j5]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): 737-753 (2021) - 2020
- [j4]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: 323-332 (2020) - [j3]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: 84-95 (2020) - [j2]Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu:
Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowl. Based Syst. 192: 105379 (2020) - [c2]Yusen Wang, Kaize Shi, Zhendong Niu:
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. SEKE 2020: 489-492
2010 – 2019
- 2019
- [c1]Changjin Gong, Kaize Shi, Zhendong Niu:
Hierarchical Text-Label Integrated Attention Network for Document Classification. HPCCT/BDAI 2019: 254-260 - 2018
- [j1]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): 4093 (2018)
Coauthor Index
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last updated on 2024-08-30 20:40 CEST by the dblp team
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