| Development and evaluation of deep learning for screening dental caries from oral photographs X Zhang, Y Liang, W Li, C Liu, D Gu, W Sun, L Miao Oral diseases 28 (1), 173-181, 2022 | 92 | 2022 |
| OralCam: enabling self-examination and awareness of oral health using a smartphone camera Y Liang, HW Fan, Z Fang, L Miao, W Li, X Zhang, W Sun, K Wang, L He, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 35 | 2020 |
| Structured Attention for Unsupervised Dialogue Structure Induction L Qiu, Y Zhao, W Shi, Y Liang, F Shi, T Yuan, Z Yu, SC Zhu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 34 | 2020 |
| Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray W Song*, Y Liang*, J Yang, K Wang, L He Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 566-573, 2021 | 26 | 2021 |
| A Deep Learning Approach to Automatic Gingivitis Screening based On Classification and Localization in RGB Photos W Li*, Y Liang*, X Zhang, C Liu, L He, L Miao, W Sun Scientific Reports, 2021 | 23 | 2021 |
| X2Teeth: 3D teeth reconstruction from a single panoramic radiograph Y Liang, W Song, J Yang, L Qiu, K Wang, L He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 19 | 2020 |
| LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator Z Tao, C Wu, Y Liang, L He ACM Transactions on Reconfigurable Technology and Systems (preprint), 2022 | 16 | 2022 |
| Improving workflow integration with XPath: Design and evaluation of a human-AI diagnosis system in pathology H Gu, Y Liang, Y Xu, CK Williams, S Magaki, N Khanlou, H Vinters, ... ACM Transactions on Computer-Human Interaction 30 (2), 1-37, 2023 | 15 | 2023 |
| SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues L Qiu, Y Liang, Y Zhao, P Lu, B Peng, Z Yu, YN Wu, SC Zhu 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 | 14 | 2021 |
| TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation J Yang, Y Zhang, Y Liang, Y Zhang, L He, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 14 | 2021 |
| Concl: Concept contrastive learning for dense prediction pre-training in pathology images J Yang, H Chen, Y Liang, J Huang, L He, J Yao European Conference on Computer Vision, 523-539, 2022 | 12 | 2022 |
| Modeling and implementation of electroactive smart air-conditioning vent register for personalized HVAC systems J Yan, Q Zeng, Y Liang, L He, Z Li IEEE Access 5, 1649-1657, 2017 | 11 | 2017 |
| Artificial intelligence for human computer interaction: a modern approach Y Li, O Hilliges Springer, 2021 | 10 | 2021 |
| Towards socially intelligent agents with mental state transition and human utility L Qiu, Y Zhao, Y Liang, P Lu, W Shi, Z Yu, SC Zhu Annual Meeting of the Special Interest Group on Discourse and Dialogue …, 2022 | 9 | 2022 |
| Exploring forensic dental identification with deep learning Y Liang, W Han, L Qiu, C Wu, Y Shao, K Wang, L He Advances in Neural Information Processing Systems 34, 3244-3258, 2021 | 7 | 2021 |
| Human-centered ai for medical imaging Y Liang, L He, X ‘Anthony’Chen Artificial Intelligence for human computer interaction: A modern approach …, 2021 | 6 | 2021 |
| CompareNet: anatomical segmentation network with deep non-local label fusion Y Liang, W Song, JP Dym, K Wang, L He Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 6 | 2019 |
| T-Net: Learning Feature Representation With Task-Specific Supervision For Biomedical Image Analysis W Song, Y Liang, J Yang, K Wang, L He 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1924-1928, 2021 | 4* | 2021 |
| Exploring Instance-Level Uncertainty for Medical Detection J Yang*, Y Liang*, Y Zhang, W Song, K Wang, L He 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 448-452, 2021 | 4 | 2021 |
| Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation Y Liang, W Song, J Yang, L Qiu, K Wang, L He Asian Conference on Machine Learning, 2020 | 4 | 2020 |
Lei HeProfessor of Electric Engineering, University of California, Los AngelesGeverifieerd e-mailadres voor ee.ucla.edu
