Keyu Wu

According to our database, Keyu Wu authored at least 29 papers between 2018 and 2024.

Collaborative distances:

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

2024

LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments.

Jiaying Chen, Keyu Wu, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Anamitra Makur

IEEE Trans. Veh. Technol., October, 2024

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.

Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., September, 2024

Reinforced Knowledge Distillation for Time Series Regression.

Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., June, 2024

WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition.

Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

Self-evolving Autoencoder Embedded Q-Network.

J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li

CoRR, 2024

2023

Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.

Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li

IEEE Trans. Circuits Syst. Video Technol., May, 2023

2022

Achieving Real-Time Path Planning in Unknown Environments Through Deep Neural Networks.

Keyu Wu, Han Wang, Mahdi Abolfazli Esfahani, Shenghai Yuan

IEEE Trans. Intell. Transp. Syst., 2022

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.

Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2022

KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.

Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li

IEEE Trans. Ind. Electron., 2022

Learn to Navigate Autonomously Through Deep Reinforcement Learning.

Keyu Wu, Han Wang, Mahdi Abolfazli Esfahani, Shenghai Yuan

IEEE Trans. Ind. Electron., 2022

iTD3-CLN: Learn to navigate in dynamic scene through Deep Reinforcement Learning.

Haoge Jiang, Mahdi Abolfazli Esfahani, Keyu Wu, Kong-Wah Wan, Kuan-kian Heng, Han Wang, Xudong Jiang

Neurocomputing, 2022

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.

Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li

IEEE CAA J. Autom. Sinica, 2022

Learning Temporal Consistency for Source-Free Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

CoRR, 2022

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.

Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning.

Keyu Wu, Han Wang, Mahdi Abolfazli Esfahani, Shenghai Yuan

IEEE Trans. Cogn. Dev. Syst., 2021

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen

CoRR, 2021

Learning to extract robust handcrafted features with a single observation via evolutionary neurogenesis.

Mahdi Abolfazli Esfahani, Han Wang, Benyamin Bashari, Keyu Wu, Shenghai Yuan

Appl. Soft Comput., 2021

Deep Reinforcement Learning Boosted Partial Domain Adaptation.

Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles.

Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, Shenghai Yuan

IEEE Trans. Intell. Transp. Syst., 2020

OriNet: Robust 3-D Orientation Estimation With a Single Particular IMU.

Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, Shenghai Yuan

IEEE Robotics Autom. Lett., 2020

From Local Understanding to Global Regression in Monocular Visual Odometry.

Mahdi Abolfazli Esfahani, Keyu Wu, Shenghai Yuan, Han Wang

Int. J. Pattern Recognit. Artif. Intell., 2020

Unsupervised Scene Categorization, Path Segmentation and Landmark Extraction while Traveling Path.

Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, Shenghai Yuan

Proceedings of the 16th International Conference on Control, 2020

2019

DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments.

Mahdi Abolfazli Esfahani, Keyu Wu, Shenghai Yuan, Han Wang

Image Vis. Comput., 2019

TDPP-Net: Achieving three-dimensional path planning via a deep neural network architecture.

Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang

Neurocomputing, 2019

Towards Utilizing Deep Uncertainty In Traditional SLAM.

Mahdi Abolfazli Esfahani, Keyu Wu, Shenghai Yuan, Han Wang

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018

Learn to Steer through Deep Reinforcement Learning.

Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang

Sensors, 2018

A New Approach to Train Convolutional Neural Networks for Real-Time 6-DOF Camera Relocalization.

Mahdi Abolfazli Esfahani, Keyu Wu, Shenghai Yuan, Han Wang

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018