Wenzhe Cai

According to our database, Wenzhe Cai authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DGMem: learning visual navigation policy without any labels by dynamic graph memory.

Wenzhe Cai, Teng Wang, Guangran Cheng, Lele Xu, Changyin Sun

Appl. Intell., September, 2024

MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation.

Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong

CoRR, 2024

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment.

Yuxing Long, Wenzhe Cai, Hongcheng Wang, Guanqi Zhan, Hao Dong

CoRR, 2024

Empowering Large Language Models on Robotic Manipulation with Affordance Prompting.

Guangran Cheng, Chuheng Zhang, Wenzhe Cai, Li Zhao, Changyin Sun, Jiang Bian

CoRR, 2024

Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions.

Yuxing Long, Xiaoqi Li, Wenzhe Cai, Hao Dong

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

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill.

Wenzhe Cai, Siyuan Huang, Guangran Cheng, Yuxing Long, Peng Gao, Changyin Sun, Hao Dong

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

2023

Learning a World Model With Multitimescale Memory Augmentation.

Wenzhe Cai, Teng Wang, Jiawei Wang, Changyin Sun

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference.

Guangran Cheng, Yuanda Wang, Lu Dong, Wenzhe Cai, Changyin Sun

Neural Comput. Appl., August, 2023

UAV target following in complex occluded environments with adaptive multi-modal fusion.

Lele Xu, Teng Wang, Wenzhe Cai, Changyin Sun

Appl. Intell., July, 2023

Multi-Task Reinforcement Learning With Attention-Based Mixture of Experts.

Guangran Cheng, Lu Dong, Wenzhe Cai, Changyin Sun

IEEE Robotics Autom. Lett., June, 2023

Towards better generalization in quadrotor landing using deep reinforcement learning.

Jiawei Wang, Teng Wang, Zichen He, Wenzhe Cai, Changyin Sun

Appl. Intell., March, 2023

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library.

Wenzhang Liu, Wenzhe Cai, Kun Jiang, Guangran Cheng, Yuanda Wang, Jiawei Wang, Jingyu Cao, Lele Xu, Chaoxu Mu, Changyin Sun

CoRR, 2023

Transmission Design and Component Allocation for STAR-RIS Assisted NOMA Systems with Direct Link.

Yuan Ren, Wenzhe Cai, Xuewei Zhang, Suihu Yang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Robust Navigation with Cross-Modal Fusion and Knowledge Transfer.

Wenzhe Cai, Guangran Cheng, Lingyue Kong, Lu Dong, Changyin Sun

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation.

Xiaoguang Chang, Teng Wang, Changyin Sun, Wenzhe Cai

CoRR, 2022

2020

Attention-based face alignment: A solution to speed/accuracy trade-off.

Teng Wang, Xinjie Tong, Wenzhe Cai

Neurocomputing, 2020

2017

图论中闭环问题的研究 (Research on Closed Loop in Graph Theory).

Binjun Wang, Hua Shao, Yingrui He, Wenzhe Cai, Jingying Li

计算机科学, 2017

2016

基于双门限梯度模式的图像文字检测方法 (New Image Text Detection Method Based on Double-threshold Gradient Pattern).

Wenzhe Cai, Binjun Wang, Peiyue Li

计算机科学, 2016