| Lanenet: Real-time lane detection networks for autonomous driving Z Wang, W Ren, Q Qiu arXiv preprint arXiv:1807.01726, 2018 | 339 | 2018 |
| Multilevel wavelet decomposition network for interpretable time series analysis J Wang, Z Wang, J Li, J Wu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 306 | 2018 |
| Agent laboratory: Using llm agents as research assistants S Schmidgall, Y Su, Z Wang, X Sun, J Wu, X Yu, J Liu, Z Liu, E Barsoum arXiv preprint arXiv:2501.04227, 2025 | 206 | 2025 |
| Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization J Wang, J Wu, Z Wang, F Gao, Z Xiong arXiv preprint arXiv:1905.00702, 2019 | 78 | 2019 |
| Continual Learning with Filter Atom Swapping Z Miao, Z Wang, W Chen, Q Qiu International Conference on Learning Representations, 2022 | 50 | 2022 |
| In Defense of Single-column Networks for Crowd Counting Z Wang, Z Xiao, K Xie, Q Qiu, X Zhen, X Cao BMVC 2018 arXiv preprint arXiv:1808.06133, 2018 | 50 | 2018 |
| Training diffusion models towards diverse image generation with reinforcement learning Z Miao, J Wang, Z Wang, Z Yang, L Wang, Q Qiu, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 48 | 2024 |
| Cirrus: A long-range bi-pattern lidar dataset Z Wang, S Ding, Y Li, J Fenn, S Roychowdhury, A Wallin, L Martin, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5744-5750, 2021 | 48 | 2021 |
| Masked autoencoders are effective tokenizers for diffusion models H Chen, Y Han, F Chen, X Li, Y Wang, J Wang, Z Wang, Z Liu, D Zou, ... Forty-second International Conference on Machine Learning, 2025 | 46 | 2025 |
| Range adaptation for 3d object detection in lidar Z Wang, S Ding, Y Li, M Zhao, S Roychowdhury, A Wallin, G Sapiro, Q Qiu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 46 | 2019 |
| Few-Shot Fast-Adaptive Anomaly Detection Z Wang, Y Zhou, R Wang, TY Lin, A Shah, SN Lim Advances in Neural Information Processing Systems, 2022 | 38 | 2022 |
| Learning to learn dense gaussian processes for few-shot learning Z Wang, Z Miao, X Zhen, Q Qiu Advances in Neural Information Processing Systems 34, 13230-13241, 2021 | 36 | 2021 |
| Binary latent diffusion Z Wang, J Wang, Z Liu, Q Qiu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 30 | 2023 |
| Softvq-vae: Efficient 1-dimensional continuous tokenizer H Chen, Z Wang, X Li, X Sun, F Chen, J Liu, J Wang, B Raj, Z Liu, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 28358 …, 2025 | 29 | 2025 |
| Adaptive convolutions with per-pixel dynamic filter atom Z Wang, Z Miao, J Hu, Q Qiu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 27 | 2021 |
| Stochastic conditional generative networks with basis decomposition Z Wang, X Cheng, G Sapiro, Q Qiu ICLR 2020 arXiv preprint arXiv:1909.11286, 2019 | 24 | 2019 |
| CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition J Wang, X He, Z Wang, J Wu, NJ Yuan, X Xie, Z Xiong arXiv preprint arXiv:1804.09901, 2018 | 24 | 2018 |
| Energy-Inspired Self-Supervised Pretraining for Vision Models Z Wang, J Wang, Z Liu, Q Qiu First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 12 | 2022 |
| Spatiotemporal joint filter decomposition in 3D convolutional neural networks Z Miao, Z Wang, X Cheng, Q Qiu Advances in Neural Information Processing Systems 34, 3376-3388, 2021 | 11 | 2021 |
| Acdc: Weight sharing in atom-coefficient decomposed convolution Z Wang, X Cheng, G Sapiro, Q Qiu arXiv preprint arXiv:2009.02386, 2020 | 10 | 2020 |
