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2020 – today
- 2024
[j1]Yuchen Wu, Kangjie Zhou:
Sharp analysis of power iteration for tensor PCA. J. Mach. Learn. Res. 25: 195:1-195:42 (2024)- [c6]Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu:
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. ACC 2024: 594-600 - [c5]Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu:
ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. ICRA 2024: 4626-4632 - [i12]Yuchen Wu, Kangjie Zhou:
Sharp Analysis of Power Iteration for Tensor PCA. CoRR abs/2401.01047 (2024) - [i11]Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu:
SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems. CoRR abs/2402.16699 (2024) - [i10]Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu:
ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. CoRR abs/2403.01674 (2024) - [i9]Andrea Montanari, Kangjie Zhou:
Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time? CoRR abs/2406.02970 (2024) - [i8]Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu:
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. CoRR abs/2407.00632 (2024) - [i7]Shuangping Li, Tselil Schramm, Kangjie Zhou:
Discrepancy Algorithms for the Binary Perceptron. CoRR abs/2408.00796 (2024) - 2023
- [c4]Xin Guo, Sicheng Zhang, Kangjie Zhou, Junzheng Zheng, Chen Wang, Guangming Xie:
Azimuth Estimation of Swimming Fish by Artificial Lateral Line System. CBS 2023: 216-221 - [c3]Yuchen Wu, Kangjie Zhou:
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models. COLT 2023: 3783-3820 - [c2]Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu:
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. ITSC 2023: 3304-3310 - [i6]Raphaël Berthier, Andrea Montanari, Kangjie Zhou:
Learning time-scales in two-layers neural networks. CoRR abs/2303.00055 (2023) - [i5]Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu:
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. CoRR abs/2306.06363 (2023) - [i4]Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu:
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. CoRR abs/2308.00325 (2023) - 2022
- [c1]Kangjie Zhou, Andrea Montanari:
High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks. COLT 2022: 5525-5527 - [i3]Andrea Montanari, Kangjie Zhou:
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks. CoRR abs/2206.06526 (2022) - [i2]Yuchen Wu, Kangjie Zhou:
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models. CoRR abs/2211.03827 (2022) - 2021
- [i1]Andrea Montanari, Yiqiao Zhong, Kangjie Zhou:
Tractability from overparametrization: The example of the negative perceptron. CoRR abs/2110.15824 (2021)
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