Tractability from overparametrization: The example of the negative perceptron. - Andrea Montanari; Yiqiao Zhong; Kangjie Zhou (CoRR, 2021)

High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks. - Kangjie Zhou; Andrea Montanari (COLT, 2022)

Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks. - Andrea Montanari; Kangjie Zhou (CoRR, 2022)

Azimuth Estimation of Swimming Fish by Artificial Lateral Line System. - Xin Guo; Sicheng Zhang; Kangjie Zhou; Junzheng Zheng; Chen Wang 005; Guangming Xie (CBS, 2023)

Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models. - Yuchen Wu; Kangjie Zhou (COLT, 2023)

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. - Yunze Hu; Jiaao Chen; Kangjie Zhou; Han Gao; Yutong Li; Chang Liu 002 (ITSC, 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 (CoRR, 2023)

Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. - Han Gao; Pengying Wu; Yao Su 001; Kangjie Zhou; Ji Ma 007; Hangxin Liu; Chang Liu 002 (ACC, 2024)

ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. - Kangjie Zhou; Pengying Wu; Yao Su 001; Han Gao; Ji Ma 007; Hangxin Liu; Chang Liu 002 (ICRA, 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 (IROS, 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)

Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time? - Andrea Montanari; Kangjie Zhou (CoRR, 2024)

CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. - Pengying Wu; Yao Mu 001; Kangjie Zhou; Ji Ma 007; Junting Chen; Chang Liu 002 (CoRR, 2024)

Sharp analysis of power iteration for tensor PCA. - Yuchen Wu; Kangjie Zhou (J. Mach. Learn. Res., 2024)

SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. - Kang Ding; Chunxuan Jiao; Yunze Hu; Kangjie Zhou; Pengying Wu; Yao Mu 001; Chang Liu 002 (CVPR Workshops, 2025)

Discrepancy Algorithms for the Binary Perceptron. - Shuangping Li; Tselil Schramm; Kangjie Zhou (STOC, 2025)

A statistical theory of overfitting for imbalanced classification. - Jingyang Lyu; Kangjie Zhou; Yiqiao Zhong (CoRR, 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, 2025)

Adaptive Interactive Navigation of Quadruped Robots using Large Language Models. - Kangjie Zhou; Yao Mu 001; Haoyang Song; Yi Zeng; Pengying Wu; Han Gao; Chang Liu 002 (CoRR, 2025)