| Scalable Rule-Based Representation Learning for Interpretable Classification Z Wang, W Zhang, N Liu, J Wang Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 67 | 2021 |
| Transparent classification with multilayer logical perceptrons and random binarization Z Wang, W Zhang, LIU Ning, J Wang Proceedings of the AAAI conference on artificial intelligence 34 (04), 6331-6339, 2020 | 31 | 2020 |
| Neuro-symbolic interpretable collaborative filtering for attribute-based recommendation W Zhang, J Yan, Z Wang, J Wang Proceedings of the ACM Web Conference 2022, 3229-3238, 2022 | 29 | 2022 |
| Random forest model in the diagnosis of dementia patients with normal mini-mental state examination scores J Wang, Z Wang, N Liu, C Liu, C Mao, L Dong, J Li, X Huang, D Lei, ... Journal of personalized medicine 12 (1), 37, 2022 | 24 | 2022 |
| Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today Z Wang, R Li, B Dong, J Wang, X Li, N Liu, C Mao, W Zhang, L Dong, ... arXiv preprint arXiv:2306.01499, 2023 | 13 | 2023 |
| Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks Z Wang, J Wang, N Liu, C Liu, X Li, L Dong, R Zhang, C Mao, Z Duan, ... Journal of Alzheimer's Disease, 1-16, 2022 | 6 | 2022 |
| Learning Interpretable Rules for Scalable Data Representation and Classification Z Wang, W Zhang, N Liu, J Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI …, 2023 | 4 | 2023 |
| Learning to Binarize Continuous Features for Neuro-Rule Networks. W Zhang, Y Liu, Z Wang, J Wang IJCAI, 4584-4592, 2023 | 4 | 2023 |
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
