Yue, Xiangyu
Chinese University of Hong Kong
8 papers on CoChatORCID 0000-0002-6887-2046
Most cited papers
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SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Wu, B., Wan, A., Yue, X., & Keutzer, K. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 967
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UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Ding, X., Zhang, Y., Ge, Y., Zhao, S., Song, L., Yue, X., & Shan, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 389
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SqueezeNext: Hardware-Aware Neural Network Design
Gholami, A., Kwon, K., Wu, B., Tai, Z., Yue, X., Jin, P., Zhao, S., & Keutzer, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques
Cited by 350
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Scenic: a language for scenario specification and data generation
Fremont, D. J., Kim, E., Dreossi, T., Ghosh, S., Yue, X., Sangiovanni-Vincentelli, A. L., & Seshia, S. A. (2023) · Machine Learning
Bayesian Modeling and Causal InferenceAdversarial Robustness in Machine Learning
Cited by 112
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Counterexample-Guided Data Augmentation
Dreossi, T., Ghosh, S., Yue, X., Keutzer, K., Sangiovanni-Vincentelli, A., & Seshia, S. A. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Adversarial Robustness in Machine LearningMachine Learning and Data Classification
Cited by 60
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Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models
Tan, Y., Jiang, Y., Li, Y., Liu, J., Bu, X., Su, W., Yue, X., Zhu, X., & Zheng, B. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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$τ_0$-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
Cai, X., Cai, Y., Chen, B., Chen, J., Chen, Z., Feng, S., Hou, T., Huang, J., Jiang, H., Ju, R., et al. (2026) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 0
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ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Liu, Z., Xie, J., Ding, Z., Li, Z., Yang, B., Wu, Z., Wang, X., Sun, Q., Liu, S., Wang, W., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior
Cited by 0
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