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X. Sun, S. Yang, Y. Chen, F. Fan, Y. Liang, D. Rakita, “Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training”, arXiv preprint arXiv:2502.03822. Link
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X. Sun, F. Fan, Y. Chen, and D. Rakita, “A Comparative Study on State-Action Spaces for Learning Viewpoint Selection and Manipulation with Diffusion Policy”, arXiv preprint arXiv:2409.14615. Link
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M. Zhou, B. Wang, T. Tan, and X. Sun, “Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging”, arXiv preprint arXiv: 2409.05289, 2024. Link
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Y. Wu, X. Sun, I. Spasojevic, and V. Kumar, “Deep Learning for Optimization of Trajectories for Quadrotors”, IEEE Robotics and Automation Letters, 2024. Link
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X. Sun, M. Zhou, Z. Zhuang, S. Yang, J. Betz, and R. Mangharam, “A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing”, IEEE Intelligent Vehicles Symposium 2023. Link
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Z. Qiao, X. Sun, H. Loeb, and R. Mangharam, “Drive Right: Shaping Public’s Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator”, IEEE Intelligent Vehicles Symposium 2023. Link
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X. Sun, Y. Wu, S. Bhattacharya, and V. Kumar, “Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning”, arXiv preprint arXiv:2209.11794, 2022. Link
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L. Lan, S. Cheng, X. Sun, W. Li, C. Yang, and F. Wang, “A Fast Singular Boundary Method for the Acoustic Design Sensitivity Analysis of Arbitrary Two-and Three-Dimensional Structures”, Mathematics. Link
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T. Lv, Z. Pan, W. Wei, G. Yang, J. Song, X. Wang, L. Sun, Q. Li, and X. Sun, “Iterative Deep Neural Networks Based on Proximal Gradient Descent for Image Restoration”, PLOS ONE. Link