| Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects L Jing, Z Chen, B Li, Y Tian | 28* | |
| Multimodal Semi-Supervised Learning for 3D Objects Z Chen, L Jing, Y Liang, YL Tian, B Li The British Machine Vision Conference (BMVC), 2021, 2021 | 27 | 2021 |
| Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models Z Chen, L Jing, Y Li, B Li Advances on Neural Information Processing Systems (NeurIPS), 2023, 2023 | 22 | 2023 |
| Class-Level Confidence Based 3D Semi-Supervised Learning Z Chen, L Jing, L Yang, Y Li, B Li IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, 2022 | 18 | 2022 |
| Point cloud self-supervised learning via 3d to multi-view masked autoencoder Z Chen, Y Li, L Jing, L Yang, B Li arXiv preprint arXiv:2311.10887, 2023 | 8 | 2023 |
| End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving S Jaladi, Z Chen, NR Malayanur, RM Macherla, B Li IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 | 6 | 2022 |
| Predicting wheelchair stability while crossing a curb using RGB-depth vision A Naveen, H Luo, Z Chen, B Li Computers Helping People with Special Needs: 17th International Conference …, 2020 | 4 | 2020 |
| 3D mapping and stability prediction for autonomous wheelchairs A Naveen, H Luo, Z Chen, B Li 2020 10th Institute of Electrical and Electronics Engineers International …, 2020 | 3 | 2020 |
| Dynamic Modeling and Prediction of Rollover Stability for All-Terrain Vehicles H Luo, Z Chen, A Naveen, B Li Proceedings of the Ground Vehicle Systems Engineering and Technology …, 2020 | 2 | 2020 |
Bing LiAssistant Professor, Clemson University, SC, United StatesVerified email at clemson.edu
