Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. - Wang-Zhou Dai; Yang Yu 001; Zhi-Hua Zhou (ICDM Workshops, 2011)

Inductive Logic Boosting. - Wang-Zhou Dai; Zhi-Hua Zhou (CoRR, 2014)

Statistical Unfolded Logic Learning. - Wang-Zhou Dai; Zhi-Hua Zhou (ACML, 2015)

Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. - Wang-Zhou Dai; Stephen H. Muggleton; Zhi-Hua Zhou (ILP (Late Breaking Papers), 2015)

Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. - Wang-Zhou Dai; Zhi-Hua Zhou (AAAI, 2017)

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. - Wang-Zhou Dai; Stephen H. Muggleton; Jing Wen; Alireza Tamaddoni-Nezhad; Zhi-Hua Zhou (ILP, 2017)

Tunneling Neural Perception and Logic Reasoning through Abductive Learning. - Wang-Zhou Dai; Qiu-Ling Xu; Yang Yu 001; Zhi-Hua Zhou (CoRR, 2018)

Meta-Interpretive Learning from noisy images. - Stephen H. Muggleton; Wang-Zhou Dai; Claude Sammut; Alireza Tamaddoni-Nezhad; Jing Wen; Zhi-Hua Zhou (Mach. Learn., 2018)

Bridging Machine Learning and Logical Reasoning by Abductive Learning. - Wang-Zhou Dai; Qiu-Ling Xu; Yang Yu 001; Zhi-Hua Zhou (NeurIPS, 2019)

Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. - Yu-Xuan Huang; Wang-Zhou Dai; Jian Yang; Le-Wen Cai; Shaofen Cheng; Ruizhang Huang; Yufeng Li 008; Zhi-Hua Zhou (ICDM, 2020)

Abductive Learning with Ground Knowledge Base. - Le-Wen Cai; Wang-Zhou Dai; Yu-Xuan Huang; Yufeng Li 008; Stephen H. Muggleton; Yuan Jiang 001 (IJCAI, 2021)

Abductive Knowledge Induction from Raw Data. - Wang-Zhou Dai; Stephen H. Muggleton (IJCAI, 2021)

Fast Abductive Learning by Similarity-based Consistency Optimization. - Yu-Xuan Huang; Wang-Zhou Dai; Le-Wen Cai; Stephen H. Muggleton; Yuan Jiang 001 (NeurIPS, 2021)

Automated Biodesign Engineering by Abductive Meta-Interpretive Learning. - Wang-Zhou Dai; Liam Hallett; Stephen H. Muggleton; Geoff S. Baldwin (CoRR, 2021)

Human-like Computer Vision. - Stephen H. Muggleton; Wang-Zhou Dai (Human-Like Machine Intelligence, 2022)

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning. - Haoyuan He 001; Wang-Zhou Dai; Ming Li 005; Yu Liu 083; Yongchang Ma (CoRR, 2022)

Enabling Knowledge Refinement upon New Concepts in Abductive Learning. - Yu-Xuan Huang; Wang-Zhou Dai; Yuan Jiang 001; Zhi-Hua Zhou (AAAI, 2023)

Enabling Abductive Learning to Exploit Knowledge Graph. - Yu-Xuan Huang; Zequn Sun; Guangyao Li; Xiaobin Tian; Wang-Zhou Dai; Wei Hu 007; Yuan Jiang 001; Zhi-Hua Zhou (IJCAI, 2023)

Human Comprehensible Active Learning of Genome-Scale Metabolic Networks. - Lun Ai 001; Shi-Shun Liang; Wang-Zhou Dai; Liam Hallett; Stephen H. Muggleton; Geoff S. Baldwin (CoRR, 2023)

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. - Yifei Peng; Yu Jin; Zhexu Luo; Yao-Xiang Ding 001; Wang-Zhou Dai; Zhong Ren 001; Kun Zhou 001 (CoRR, 2023)

Abductive subconcept learning. - Zhongyi Han; Le-Wen Cai; Wang-Zhou Dai; Yu-Xuan Huang; Benzheng Wei; Wei Wang; Yilong Yin (Sci. China Inf. Sci., 2023)

Knowledge-Enhanced Historical Document Segmentation and Recognition. - En-Hao Gao; Yu-Xuan Huang; Wen-Chao Hu; Xin-Hao Zhu; Wang-Zhou Dai (AAAI, 2024)

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. - Lue Tao; Yu-Xuan Huang; Wang-Zhou Dai; Yuan Jiang 001 (AAAI, 2024)

Safe Abductive Learning in the Presence of Inaccurate Rules. - Xiaowen Yang; Jie-Jing Shao; Wei-Wei Tu; Yufeng Li 008; Wang-Zhou Dai; Zhi-Hua Zhou (AAAI, 2024)

Reduced implication-bias logic loss for neuro-symbolic learning. - Hao-Yuan He 001; Wang-Zhou Dai; Ming Li 005 (Mach. Learn., 2024)

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. - Wen-Chao Hu; Wang-Zhou Dai; Yuan Jiang 001; Zhi-Hua Zhou (AAAI, 2025)

Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning. - Yu Jin; Jingming Liu; Zhexu Luo; Yifei Peng; Ziang Qin; Wang-Zhou Dai; Yao-Xiang Ding 001; Kun Zhou 001 (CoRR, 2025)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. - Xiao-Wen Yang; Jie-Jing Shao; Lan-Zhe Guo; Bo-Wen Zhang; Zhi Zhou 007; Lin-Han Jia; Wang-Zhou Dai; Yufeng Li 008 (CoRR, 2025)