| Llm lies: Hallucinations are not bugs, but features as adversarial examples JY Yao, KP Ning, ZH Liu, MN Ning, Y Liu, L Yuan arXiv preprint arXiv:2310.01469, 2023 | 163 | 2023 |
| What and how: generalized lifelong spectral clustering via dual memory G Sun, Y Cong, J Dong, Y Liu, Z Ding, H Yu IEEE transactions on pattern analysis and machine intelligence 44 (7), 3895-3908, 2021 | 101 | 2021 |
| CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation J Dong, Y Cong, G Sun, Y Liu, X Xu European Conference on Computer Vision (ECCV), 2020, 2020 | 55 | 2020 |
| Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning D Goswami, Y Liu, B Twardowski, J van de Weijer Advances in Neural Information Processing Systems 36, 2024 | 51 | 2024 |
| L3DOC: Lifelong 3D object classification Y Liu, Y Cong, G Sun, T Zhang, J Dong, H Liu IEEE Transactions on Image Processing 30, 7486-7498, 2021 | 39 | 2021 |
| Prollama: A protein large language model for multi-task protein language processing L Lv, Z Lin, H Li, Y Liu, J Cui, C Yu-Chian Chen, L Yuan, Y Tian arXiv e-prints, arXiv: 2402.16445, 2024 | 35 | 2024 |
| Augmented box replay: Overcoming foreground shift for incremental object detection Y Liu, Y Cong, D Goswami, X Liu, J van de Weijer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23* | 2023 |
| Self-paced weight consolidation for continual learning W Cong, Y Cong, G Sun, Y Liu, J Dong IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 16 | 2023 |
| Generative partial visual-tactile fused object clustering T Zhang, Y Cong, G Sun, J Dong, Y Liu, Z Ding Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6156-6164, 2021 | 16 | 2021 |
| Class-incremental gesture recognition learning with out-of-distribution detection M Li, Y Cong, Y Liu, G Sun 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 10 | 2022 |
| Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning D Goswami, A Soutif-Cormerais, Y Liu, S Kamath, B Twardowski, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Open-ended online learning for autonomous visual perception H Yu, Y Cong, G Sun, D Hou, Y Liu, J Dong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception Y Liu, C Yang, G Sun, Z Ding IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 6 | 2022 |
| PiCO: Peer Review in LLMs based on the Consistency Optimization KP Ning, S Yang, Y Liu, JY Yao, Z Liu, Y Wang, M Pang, L Yuan | 4* | 2024 |
| Memory-based parameterized skills learning for mapless visual navigation Y Liu, Y Cong, G Sun 2019 IEEE International Conference on Image Processing (ICIP), 1890-1894, 2019 | 3 | 2019 |
| Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation Z Zhang, G Fan, T Liu, N Li, Y Liu, Z Liu, C Dong, S Zhou arXiv preprint arXiv:2309.05929, 2023 | 2 | 2023 |
| CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition M Dhiaf, MA Souibgui, K Wang, Y Liu, Y Kessentini, A Fornés, AC Rouhou arXiv preprint arXiv:2303.09347, 2023 | 2 | 2023 |
| Sparse Orthogonal Parameters Tuning for Continual Learning KP Ning, HJ Ke, YY Liu, JY Yao, YH Tian, L Yuan arXiv preprint arXiv:2411.02813, 2024 | 1 | 2024 |
| GPT as a Monte Carlo Language Tree: A Probabilistic Perspective KP Ning, JY Yao, YY Liu, MN Ning, L Yuan arXiv preprint arXiv:2501.07641, 2025 | | 2025 |
| Is Parameter Collision Hindering Continual Learning in LLMs? S Yang, KP Ning, YY Liu, JY Yao, YH Tian, YB Song, L Yuan arXiv preprint arXiv:2410.10179, 2024 | | 2024 |
Yang CongState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences (CAS)Zweryfikowany adres z sia.cn