| Learning channel-wise interactions for binary convolutional neural networks Z Wang, J Lu, C Tao, J Zhou, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 141 | 2019 |
| Learning deep binary descriptor with multi-quantization Y Duan, J Lu, Z Wang, J Feng, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 124 | 2017 |
| Bidet: An efficient binarized object detector Z Wang, Z Wu, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 87 | 2020 |
| Embodied task planning with large language models Z Wu, Z Wang, X Xu, J Lu, H Yan arXiv preprint arXiv:2307.01848, 2023 | 79 | 2023 |
| Shapley-NAS: Discovering operation contribution for neural architecture search H Xiao, Z Wang, Z Zhu, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 53 | 2022 |
| Shap-CAM: Visual explanations for convolutional neural networks based on Shapley value Q Zheng, Z Wang, J Zhou, J Lu European Conference on Computer Vision, 459-474, 2022 | 46 | 2022 |
| GraphBit: Bitwise interaction mining via deep reinforcement learning Y Duan, Z Wang, J Lu, X Lin, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 37 | 2018 |
| Learning efficient binarized object detectors with information compression Z Wang, J Lu, Z Wu, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3082-3095, 2021 | 34 | 2021 |
| Generalizable mixed-precision quantization via attribution rank preservation Z Wang, H Xiao, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 31 | 2021 |
| Manigaussian: Dynamic gaussian splatting for multi-task robotic manipulation G Lu, S Zhang, Z Wang, C Liu, J Lu, Y Tang European Conference on Computer Vision, 349-366, 2024 | 27 | 2024 |
| Planning irregular object packing via hierarchical reinforcement learning S Huang, Z Wang, J Zhou, J Lu IEEE Robotics and Automation Letters 8 (1), 81-88, 2022 | 21 | 2022 |
| Ge-grasp: Efficient target-oriented grasping in dense clutter Z Liu, Z Wang, S Huang, J Zhou, J Lu 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 21 | 2022 |
| Quantformer: Learning extremely low-precision vision transformers Z Wang, C Wang, X Xu, J Zhou, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8813-8826, 2022 | 19 | 2022 |
| Towards Accurate Data-free Quantization for Diffusion Models C Wang, Z Wang, X Xu, Y Tang, J Zhou, J Lu arXiv preprint arXiv:2305.18723, 2023 | 17 | 2023 |
| Learning deep binary descriptors via bitwise interaction mining Z Wang, H Xiao, Y Duan, J Zhou, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1919-1933, 2022 | 17 | 2022 |
| LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction L Zhao, X Xu, Z Wang, Y Zhang, B Zhang, W Zheng, D Du, J Zhou, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Binarizing sparse convolutional networks for efficient point cloud analysis X Xu, Z Wang, J Zhou, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Multinomial logit model-based parking choice in a mall at city W Liang, J Hu, Y Zhang, Z Wang 2016 Chinese Control and Decision Conference (CCDC), 320-323, 2016 | 11 | 2016 |
| Towards Accurate Post-training Quantization for Diffusion Models C Wang, Z Wang, X Xu, Y Tang, J Zhou, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| Instance similarity learning for unsupervised feature representation Z Wang, Y Wang, Z Wu, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 10 | 2021 |
Jiwen Lu (鲁继文)Professor, Department of Automation, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn