| Deep learning for event-based vision: A comprehensive survey and benchmarks X Zheng, Y Liu, Y Lu, T Hua, T Pan, W Zhang, D Tao, L Wang arXiv preprint arXiv:2302.08890 1, 2023 | 142 | 2023 |
| Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation X Zheng, J Zhu, Y Liu, Z Cao, C Fu, L Wang CVPR 2023, 2023 | 57 | 2023 |
| Uncertainty-aware deep co-training for semi-supervised medical image segmentation X Zheng, C Fu, H Xie, J Chen, X Wang, CW Sham Computers in Biology and Medicine 149, 106051, 2022 | 57 | 2022 |
| A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation J Zhu, Y Luo, X Zheng, H Wang, L Wang ICCV 2023, 2023 | 50 | 2023 |
| ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More J Zhou, X Zheng, Y Lyu, L Wang CVPR 2024 (Highlight), 2024 | 47 | 2024 |
| UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All Y Lyu*, X Zheng*, J Zhou, L Wang CVPR 2024, 2024 | 45 | 2024 |
| Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation X Zheng, T Pan, Y Luo, L Wang ICCV 2023, 2023 | 43 | 2023 |
| Retrieval augmented generation and understanding in vision: A survey and new outlook X Zheng, Z Weng, Y Lyu, L Jiang, H Xue, B Ren, D Paudel, N Sebe, ... arXiv preprint arXiv:2503.18016, 2025 | 38 | 2025 |
| EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition X Zheng, L Wang CVPR 2024, 2024 | 38 | 2024 |
| Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation J Chen, C Fu, H Xie, X Zheng, R Geng, CW Sham Computers in Biology and Medicine 149, 106034, 2022 | 37 | 2022 |
| Chasing day and night: Towards robust and efficient all-day object detection guided by an event camera J Cao, X Zheng, Y Lyu, J Wang, R Xu, L Wang ICRA, 9026-9032, 2024 | 36 | 2024 |
| Learning modality-agnostic representation for semantic segmentation from any modalities X Zheng, Y Lyu, L Wang ECCV (Oral), 146-165, 2025 | 35 | 2025 |
| Distilling efficient vision transformers from cnns for semantic segmentation X Zheng, Y Luo, P Zhou, L Wang Pattern Recognition 158, 111029, 2025 | 34 | 2025 |
| Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation X Zheng, P Zhou, A Vasilakos, L Wang CVPR 2024, 2024 | 33 | 2024 |
| Eventbind: Learning a unified representation to bind them all for event-based open-world understanding J Zhou, X Zheng, Y Lyu, L Wang European Conference on Computer Vision, 477-494, 2024 | 30 | 2024 |
| 360sfuda++: Towards source-free uda for panoramic segmentation by learning reliable category prototypes X Zheng, PY Zhou, AV Vasilakos, L Wang IEEE TPAMI, 2024 | 29 | 2024 |
| GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation W Zhang, Y Liu, X Zheng, L Wang CVPR 2024, 2024 | 27 | 2024 |
| Mmunlearner: Reformulating multimodal machine unlearning in the era of multimodal large language models J Huo, Y Yan, X Zheng, Y Lyu, X Zou, Z Wei, X Hu ACL 2025 Findings, 2025 | 26 | 2025 |
| Transformer-cnn cohort: Semi-supervised semantic segmentation by the best of both students X Zheng, Y Luo, C Fu, K Liu, L Wang ICRA, 11147-11154, 2024 | 26 | 2024 |
| Customize segment anything model for multi-modal semantic segmentation with mixture of lora experts C Zhu, B Xiao, L Shi, S Xu, X Zheng arXiv preprint arXiv:2412.04220, 2024 | 25 | 2024 |
Yuanhuiyi LyuPhD Student, The Hong Kong University of Science and Technology (Guangzhou)Verified email at connect.hkust-gz.edu.cn
