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)

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)

Attention-based face alignment: A solution to speed/accuracy trade-off. - Teng Wang; Xinjie Tong; Wenzhe Cai (Neurocomputing, 2020)

Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation. - Xiaoguang Chang; Teng Wang; Changyin Sun; Wenzhe Cai (CoRR, 2022)

Robust Navigation with Cross-Modal Fusion and Knowledge Transfer. - Wenzhe Cai; Guangran Cheng; Lingyue Kong; Lu Dong 002; Changyin Sun 001 (ICRA, 2023)

Transmission Design and Component Allocation for STAR-RIS Assisted NOMA Systems with Direct Link. - Yuan Ren 003; Wenzhe Cai; Xuewei Zhang; Suihu Yang (VTC Fall, 2023)

DGMem: Learning Visual Navigation Policy without Any Labels by Dynamic Graph Memory. - Wenzhe Cai; Teng Wang; Guangran Cheng; Lele Xu; Changyin Sun (CoRR, 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 001 (CoRR, 2023)

Towards better generalization in quadrotor landing using deep reinforcement learning. - Jiawei Wang; Teng Wang; Zichen He; Wenzhe Cai; Changyin Sun 001 (Appl. Intell., 2023)

Multi-Task Reinforcement Learning With Attention-Based Mixture of Experts. - Guangran Cheng; Lu Dong 002; Wenzhe Cai; Changyin Sun 001 (IEEE Robotics Autom. Lett., 2023)

UAV target following in complex occluded environments with adaptive multi-modal fusion. - Lele Xu; Teng Wang; Wenzhe Cai; Changyin Sun 001 (Appl. Intell., 2023)

Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference. - Guangran Cheng; Yuanda Wang; Lu Dong 002; Wenzhe Cai; Changyin Sun 001 (Neural Comput. Appl., 2023)

Learning a World Model With Multitimescale Memory Augmentation. - Wenzhe Cai; Teng Wang; Jiawei Wang; Changyin Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment. - Yuxing Long; Wenzhe Cai; Hongcheng Wang; Guanqi Zhan; Hao Dong 003 (CoRL, 2024)

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill. - Wenzhe Cai; Siyuan Huang 004; Guangran Cheng; Yuxing Long; Peng Gao 007; Changyin Sun; Hao Dong 003 (ICRA, 2024)

Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions. - Yuxing Long; Xiaoqi Li 020; Wenzhe Cai; Hao Dong 003 (ICRA, 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 003 (NeurIPS, 2024)

Empowering Large Language Models on Robotic Manipulation with Affordance Prompting. - Guangran Cheng; Chuheng Zhang; Wenzhe Cai; Li Zhao 007; Changyin Sun; Jiang Bian 002 (CoRR, 2024)

DGMem: learning visual navigation policy without any labels by dynamic graph memory. - Wenzhe Cai; Teng Wang; Guangran Cheng; Lele Xu; Changyin Sun 001 (Appl. Intell., 2024)

ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination. - Xinxin Zhao; Wenzhe Cai; Likun Tang; Teng Wang (ICLR, 2025)

Boosting Efficient Reinforcement Learning for Vision-and-Language Navigation With Open-Sourced LLM. - Jiawei Wang; Teng Wang; Wenzhe Cai; Lele Xu; Changyin Sun 001 (IEEE Robotics Autom. Lett., 2025)

NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance. - Wenzhe Cai; Jiaqi Peng; Yuqiang Yang; Yujian Zhang; Meng Wei; Hanqing Wang; Yilun Chen; Tai Wang; Jiangmiao Pang (CoRR, 2025)

StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling. - Meng Wei; Chenyang Wan; Xiqian Yu; Tai Wang; Yuqiang Yang; Xiaohan Mao; Chenming Zhu; Wenzhe Cai; Hanqing Wang; Yilun Chen; Xihui Liu; Jiangmiao Pang (CoRR, 2025)