Improving Multi-set Query Processing Via a Learned Oracle. - Jingwen Cai; Wenbin He; Yu Li; Xian Zhang 002; Lingli Li (ACM TUR-C, 2020)

Efficient Source Selection for Error Detection via Matching Dependencies. - Lingli Li; Sheng Zheng; Jingwen Cai; Jinbao Li (DASFAA (1), 2020)

HCTree+: A workload-guided index for approximate kNN search. - Lingli Li; Jie Xu; Yu Li; Jingwen Cai (Inf. Sci., 2021)

A learned index for approximate kNN queries in high-dimensional spaces. - Lingli Li; Jingwen Cai; Jie Xu (Knowl. Inf. Syst., 2022)

Distributed Scheduling Method for Smart Shop Floor Based on QMIX. - Jianmin Xing; Yumin Ma; Jingwen Cai; Jiaxuan Shi; Juan Liu 011 (CASE, 2023)

Exploring Efficient-Tuned Learning Audio Representation Method from BriVL. - Sen Fang; Yangjian Wu; Bowen Gao; Jingwen Cai; Teik Toe Teoh (ICONIP (15), 2023)

Developing a Multilingual Corpus of Wikipedia Biographies. - Hannah Devinney; Anton Eklund; Igor Ryazanov; Jingwen Cai (RANLP, 2023)

UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion Models. - Sen Fang; Bowen Gao; Yangjian Wu; Jingwen Cai; Teik Toe Teoh (CoRR, 2023)

Double deep Q-network-based self-adaptive scheduling approach for smart shop floor. - Yumin Ma; Jingwen Cai; Shengyi Li; Juan Liu 011; Jianmin Xing; Fei Qiao (Neural Comput. Appl., 2023)

Optimising Contextual Advertising through Real-Time Bidding with Budget Constraints. - Jingwen Cai; Johanna Björklund (SURE@RecSys, 2024)

A semi-supervised production scheduling method based on co-training deep neural network for smart shop floors. - Yumin Ma; Jiaxuan Shi; Jingwen Cai; Juan Liu 011; Fei Qiao; Yipeng Liao (Comput. Ind. Eng., 2024)

From Precision to Perception: User Surveys in the Evaluation of Keyword Extraction Algorithms. - Jingwen Cai; Sara Leckner; Johanna Björklund (HILDA@SIGMOD, 2025)

Pseudo-label attention-based multiple instance learning for whole slide image classification. - Jing He 012; Ping Wang 044; Jingwen Cai; Dan Tang; Shaowen Yao 001; Renyang Liu 001 (Eng. Appl. Artif. Intell., 2025)

Micro_NesT: multi-scale attention enhanced micro-expression recognition framework. - Jing He 012; Yuanhui Xiao; Han Zhang; Jingwen Cai; Li Cai; Renyang Liu 001 (Expert Syst. Appl., 2025)

LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling. - Yan Kang 003; Mingjian Yang; Yue Peng; Jingwen Cai; Lei Zhao 013; Zhan Gao; Ningshu Li; Bin Pu (Inf. Fusion, 2025)

From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising. - Jingwen Cai; Sara Leckner; Johanna Björklund (CoRR, 2025)

Adaptive region assisted GAN for image steganography. - Jingwen Cai; Fen Xiao; Kehan Zhang; Xieping Gao (Multim. Syst., 2025)