Kangjie Zhou

According to our database, Kangjie Zhou authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Adaptive Interactive Navigation of Quadruped Robots using Large Language Models.

Kangjie Zhou, Yao Mu, Haoyang Song, Yi Zeng, Pengying Wu, Han Gao, Chang Liu

CoRR, March, 2025

Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks.

Yuhang Cai, Kangjie Zhou, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett

CoRR, February, 2025

A statistical theory of overfitting for imbalanced classification.

Jingyang Lyu, Kangjie Zhou, Yiqiao Zhong

CoRR, February, 2025

Discrepancy Algorithms for the Binary Perceptron.

Shuangping Li, Tselil Schramm, Kangjie Zhou

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer.

Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Sharp analysis of power iteration for tensor PCA.

Yuchen Wu, Kangjie Zhou

J. Mach. Learn. Res., 2024

CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations.

Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu

CoRR, 2024

Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time?

Andrea Montanari, Kangjie Zhou

CoRR, 2024

SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems.

Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu

CoRR, 2024

SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems.

Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking.

Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments.

Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu

Proceedings of the American Control Conference, 2024

2023

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation.

Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu

CoRR, 2023

Learning time-scales in two-layers neural networks.

Raphaël Berthier, Andrea Montanari, Kangjie Zhou

CoRR, 2023

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation.

Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models.

Yuchen Wu, Kangjie Zhou

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Azimuth Estimation of Swimming Fish by Artificial Lateral Line System.

Xin Guo, Sicheng Zhang, Kangjie Zhou, Junzheng Zheng, Chen Wang, Guangming Xie

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

2022

Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks.

Andrea Montanari, Kangjie Zhou

CoRR, 2022

High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks.

Kangjie Zhou, Andrea Montanari

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Tractability from overparametrization: The example of the negative perceptron.

Andrea Montanari, Yiqiao Zhong, Kangjie Zhou

CoRR, 2021