Kangjie Zhou - RankMe

33 papers A* 5A 1C 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AINav: Large Language Model-Based Adaptive Interactive Navigation. IEEE Robotics Autom. Mag. Kangjie Zhou, Yao Mu, Haoyang Song, Yi Zeng, Pengying Wu, Han Gao, Chang Liu
2026	J	`jnl`	CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM. CoRR Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo, Zike Yan, Pengying Wu, Ieng Hou U, Shuaiyang Li, Han Gao, Kang Ding, Wenhan Cao, Wei Pan, Chang Liu
2026	J	`jnl`	ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments. IEEE Trans. Syst. Man Cybern. Syst. Kangjie Zhou, Zhaoyang Li, Han Gao, Yao Su, Hangxin Liu, Junzhi Yu, Chang Liu
2025	J	`jnl`	A statistical theory of overfitting for imbalanced classification. CoRR Jingyang Lyu, Kangjie Zhou, Yiqiao Zhong
2025	J	`jnl`	Adaptive Interactive Navigation of Quadruped Robots using Large Language Models. CoRR Kangjie Zhou, Yao Mu, Haoyang Song, Yi Zeng, Pengying Wu, Han Gao, Chang Liu
2025	J	`jnl`	Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis. CoRR Seunghoon Paik, Kangjie Zhou, Matus Telgarsky, Ryan J. Tibshirani
2025	A*	`conf`	Discrepancy Algorithms for the Binary Perceptron. STOC Shuangping Li, Tselil Schramm, Kangjie Zhou
2025	A*	`conf`	Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks. ICML Yuhang Cai, Kangjie Zhou, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett
2025	J	`jnl`	Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks. CoRR Yuhang Cai, Kangjie Zhou, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett
2025	J	`jnl`	Learning Time-Scales in Two-Layers Neural Networks. Found. Comput. Math. Raphaël Berthier, Andrea Montanari, Kangjie Zhou
2025	J	`jnl`	ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments. CoRR Kangjie Zhou, Zhaoyang Li, Han Gao, Yao Su, Hangxin Liu, Junzhi Yu, Chang Liu
2025	—	`conf`	SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. CVPR Workshops Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu
2025	J	`jnl`	SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. CoRR Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu
2024	A*	`conf`	ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. ICRA Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. CoRR Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. CoRR Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu
2024	J	`jnl`	Discrepancy Algorithms for the Binary Perceptron. CoRR Shuangping Li, Tselil Schramm, Kangjie Zhou
2024	C	`conf`	Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. ACC Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	Sharp Analysis of Power Iteration for Tensor PCA. CoRR Yuchen Wu, Kangjie Zhou
2024	J	`jnl`	Sharp analysis of power iteration for tensor PCA. J. Mach. Learn. Res. Yuchen Wu, Kangjie Zhou
2024	A	`conf`	SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems. IROS Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu
2024	J	`jnl`	SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems. CoRR Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu
2024	J	`jnl`	Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time? CoRR Andrea Montanari, Kangjie Zhou
2023	—	`conf`	Azimuth Estimation of Swimming Fish by Artificial Lateral Line System. CBS Xin Guo, Sicheng Zhang, Kangjie Zhou, Junzheng Zheng, Chen Wang, Guangming Xie
2023	—	`conf`	Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. ITSC Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu
2023	J	`jnl`	Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. CoRR Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu
2023	J	`jnl`	Learning time-scales in two-layers neural networks. CoRR Raphaël Berthier, Andrea Montanari, Kangjie Zhou
2023	A*	`conf`	Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models. COLT Yuchen Wu, Kangjie Zhou
2023	J	`jnl`	Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. CoRR Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu
2022	A*	`conf`	High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks. COLT Kangjie Zhou, Andrea Montanari
2022	J	`jnl`	Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models. CoRR Yuchen Wu, Kangjie Zhou
2022	J	`jnl`	Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks. CoRR Andrea Montanari, Kangjie Zhou
2021	J	`jnl`	Tractability from overparametrization: The example of the negative perceptron. CoRR Andrea Montanari, Yiqiao Zhong, Kangjie Zhou