Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model. - Hao Lu 002; Kaize Shi; Yifan Zhu 001; Yisheng Lv; Zhendong Niu (Sensors, 2018)

Hierarchical Text-Label Integrated Attention Network for Document Classification. - Changjin Gong; Kaize Shi; Zhendong Niu (HPCCT/BDAI, 2019)

A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. - Yusen Wang; Kaize Shi; Zhendong Niu (SEKE, 2020)

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. - Kaize Shi; Changjin Gong; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Future Gener. Comput. Syst., 2020)

Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. - Yifan Zhu 001; Hao Lu 002; Ping Qiu; Kaize Shi; James Chambua; Zhendong Niu (Neurocomputing, 2020)

Automatic generation of meteorological briefing by event knowledge guided summarization model. - Kaize Shi; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Knowl. Based Syst., 2020)

Source camera identification for re-compressed images: A model perspective based on tri-transfer learning. - Guowen Zhang; Bo Wang 024; Fei Wei; Kaize Shi; Yue Wang 132; Xue Sui; Meineng Zhu (Comput. Secur., 2021)

Improving University Faculty Evaluations via multi-view Knowledge Graph. - Qika Lin; Yifan Zhu 001; Hao Lu 002; Kaize Shi; Zhendong Niu (Future Gener. Comput. Syst., 2021)

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. - Kaize Shi; Yusen Wang; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Inf. Process. Manag., 2021)

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Ping Qiu; Zhendong Niu (Knowl. Based Syst., 2021)

Social Signal-Driven Knowledge Automation: A Focus on Social Transportation. - Hao Lu 002; Yifan Zhu 001; Yong Yuan; Weichao Gong; Juanjuan Li; Kaize Shi; Yisheng Lv; Zhendong Niu; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2021)

AMR-TST: Abstract Meaning Representation-based Text Style Transfer. - Kaize Shi; Xueyao Sun; Li He; Dingxian Wang; Qing Li 001; Guandong Xu (ACL (Findings), 2023)

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Xianzhi Wang 001; Guandong Xu (ADMA (5), 2023)

RSLFW at the NTCIR-17 FairWeb-1 Task. - Fan Li; Kaize Shi; Kenta Inaba; Sijie Tao; Nuo Chen 004; Tetsuya Sakai (NTCIR, 2023)

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (CoRR, 2023)

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (IEEE Trans. Knowl. Data Eng., 2023)

Application of Social Sensors in Natural Disasters Emergency Management: A Review. - Kaize Shi; Xueping Peng; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2023)

Enhancing Academic Title Drafting Through Abstractive Summarization. - Taoyu Wu; Kaize Shi (BESC, 2024)

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (ICDE, 2024)

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. - Jiaqi Deng; Kaize Shi; Huan Huo; Dingxian Wang; Guandong Xu (SIGIR, 2024)

A topic-controllable keywords-to-text generator with knowledge base network. - Li He; Kaize Shi; Dingxian Wang; Xianzhi Wang 001; Guandong Xu (CAAI Trans. Intell. Technol., 2024)

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. - Guiming Cao; Kaize Shi; Hong Fu; Huaiwen Zhang; Guandong Xu (CoRR, 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang 001; Julian J. McAuley; Guandong Xu; Shui Yu 001 (CoRR, 2024)

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. - Kaize Shi; Xueyao Sun; Qing Li 001; Guandong Xu (CoRR, 2024)

Expert-Guided Extinction of Toxic Tokens for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (CoRR, 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., 2024)

Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. - Kaize Shi; Xueping Peng; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2024)

Deep Coupling Network for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Hui He; Kaize Shi; Liang Hu 004; Ning An 001; Zhendong Niu (ACM Trans. Inf. Syst., 2024)

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (COLING, 2025)

Expert-Guided Toxicity Filtration for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (PAKDD (4), 2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Qika Lin; Zhen Peng 005; Kaize Shi; Kai He 001; Yiming Xu 001; Erik Cambria; Mengling Feng (CoRR, 2025)

Abstractive summarization-based academic paper title drafting. - Taoyu Wu; Jiaqi Deng; Yu Liang; Kaize Shi (CCF Trans. Pervasive Comput. Interact., 2025)

UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. - Jiaqi Deng; Kaize Shi; Zonghan Wu; Huan Huo; Dingxian Wang; Guandong Xu (CoRR, 2025)

Adapting GNNs for Document Understanding: A Flexible Framework With Multiview Global Graphs. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xue Rong Zhao; Kaize Shi (IEEE Trans. Comput. Soc. Syst., 2025)

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Kun Yi 001; Kaize Shi; Zhendong Niu; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep multimodal learning for time series analysis in social computing: a survey. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001; Kaize Shi; Lina Yao 001; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

Endoscopic Depth Estimation Based on Deep Learning: A Survey. - Ke Niu 002; Zeyun Liu; Xue Feng; Heng Li 010; Kaize Shi (CoRR, 2025)

Deep Graph Clustering With Triple Fusion Mechanism for Community Detection. - Yuanchi Ma; Kaize Shi; Xueping Peng; Hui He; Peng Zhang 099; Jinyan Liu; Zhongxiang Lei; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2025)

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. - Xueyao Sun; Kaize Shi; Haoran Tang; Dingxian Wang; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)