Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation. - Zefeng Cai; Linlin Wang; Gerard de Melo; Fei Sun; Liang He 001 (ACL (Findings), 2022)

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. - Zefeng Cai; Xiangyu Li; Binyuan Hui; Min Yang 007; Bowen Li 002; Binhua Li; Zheng Cao 003; Weijie Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

PCVAE: Generating Prior Context for Dialogue Response Generation. - Zefeng Cai; Zerui Cai (IJCAI, 2022)

PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation. - Zefeng Cai; Zerui Cai (SIGIR, 2022)

Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. - Linlin Wang; Zefeng Cai; Gerard de Melo; Zhu Cao; Liang He 001 (AAAI, 2023)

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. - Zefeng Cai; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Xin Alex Lin; Liang He 001; Daxin Jiang (ICLR, 2023)

Analysis of the Propagation Characteristics of Acoustic Waves From Leakages in Buried Gas Pipelines. - Song Liu; Anqi Liu; Zefeng Cai; Chunfeng Sun; Ruochen Liu (IEEE Access, 2023)

TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information. - Ziqiang Liu; Shujie Li 001; Zefeng Cai; Xiangyu Li; Yunshui Li; Chengming Li; Xiping Hu; Ruifeng Xu 001; Min Yang 007 (LREC/COLING, 2024)

Emotion Recognition with CLIP and Sequential Learning. - Weiwei Zhou; Chenkun Ling; Zefeng Cai (CoRR, 2025)