| Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin ICCV 2019 (Best Paper Nomination), 2019 | 717 | 2019 |
| Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs S Tong, E Brown, P Wu, S Woo, M Middepogu, SC Akula, J Yang, S Yang, ... NeurIPS 2024 (Oral), 2024 | 712 | 2024 |
| Sft memorizes, rl generalizes: A comparative study of foundation model post-training T Chu*, Y Zhai*, J Yang, S Tong, S Xie, D Schuurmans, QV Le, S Levine, ... ICML 2025, 2025 | 427 | 2025 |
| Openpcdet: An open-source toolbox for 3d object detection from point clouds OD Team (2nd core contributor) https://github.com/open-mmlab/OpenPCDet, 2020 | 425* | 2020 |
| Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces J Yang*, S Yang*, AW Gupta*, R Han*, L Fei-Fei, S Xie CVPR 2025 (Oral), 2025 | 333 | 2025 |
| St3d: Self-training for unsupervised domain adaptation on 3d object detection J Yang*, S Shi*, Z Wang, H Li, X Qi CVPR 2021, 2021 | 296 | 2021 |
| PLA: Language-Driven Open-Vocabulary 3D Scene Understanding R Ding*, J Yang*, C Xue, W Zhang, S Bai, X Qi CVPR 2023, 2023 | 236 | 2023 |
| Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation R He*, J Yang*, X Qi ICCV 2021 (Oral), 2021 | 195 | 2021 |
| An adversarial perturbation oriented domain adaptation approach for semantic segmentation J Yang, R Xu, R Li, X Qi, X Shen, G Li, L Lin AAAI 2020, 2020 | 133 | 2020 |
| Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding J Yang*, R Ding*, W Deng, Z Wang, X Qi CVPR 2024, 2024 | 114 | 2024 |
| ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection J Yang, S Shi, Z Wang, H Li, X Qi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 110 | 2022 |
| Towards Efficient 3D Object Detection with Knowledge Distillation J Yang, S Shi, R Ding, Z Wang, X Qi NeurIPS 2022, 2022 | 78 | 2022 |
| Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability R He, S Sun*, J Yang*, S Bai, X Qi CVPR 2022, 2022 | 65 | 2022 |
| Unitok: A unified tokenizer for visual generation and understanding C Ma, Y Jiang, J Wu, J Yang, X Yu, Z Yuan, B Peng, X Qi NeurIPS 2025 (Spotlight), 2025 | 64 | 2025 |
| Lowis3d: Language-driven open-world instance-level 3d scene understanding R Ding, J Yang, C Xue, W Zhang, S Bai, X Qi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 47 | 2023 |
| V-IRL: Grounding Virtual Intelligence in Real Life J Yang, R Ding, E Brown, X Qi, S Xie ECCV 2024, 2024 | 43 | 2024 |
| DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation R Ding*, J Yang*, L Jiang, X Qi ECCV 2022, 2022 | 29* | 2022 |
| PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection/3D Tracking/Domain Adaptation of Waymo Open Dataset Challenges S Shi, C Guo, J Yang, H Li Technical Report for Waymo Open Challenges, 2020 | 16 | 2020 |
| Cambrian-S: Towards Spatial Supersensing in Video S Yang*, J Yang*, P Huang, E Brown, Z Yang, Y Yu, S Tong, Z Zheng, ... arXiv preprint arXiv:2511.04670, 2025 | 15 | 2025 |
| Can 3D Vision-Language Models Truly Understand Natural Language? W Deng, J Yang, R Ding, J Liu, Y Li, X Qi, E Ngai arXiv preprint arXiv:2403.14760, 2024 | 11 | 2024 |
Xiaojuan QiAssistant Professor, The University of Hong KongVerified email at eee.hku.hk
