Zekai Zhang

According to our database, Zekai Zhang authored at least 38 papers between 2021 and 2024.

Collaborative distances:

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

2024

Multi-AUV Pursuit-Evasion Game in the Internet of Underwater Things: An Efficient Training Framework via Offline Reinforcement Learning.

Jingzehua Xu, Zekai Zhang, Jingjing Wang, Zhu Han, Yong Ren

IEEE Internet Things J., October, 2024

Fuzz C-Means Clustering Algorithm for Hybrid TOA and AOA Localization in NLOS Environments.

Yanbin Zou, Zekai Zhang

IEEE Commun. Lett., August, 2024

A Novel Mamba Architecture with a Semantic Transformer for Efficient Real-Time Remote Sensing Semantic Segmentation.

Hao Ding, Bo Xia, Weilin Liu, Zekai Zhang, Jinglin Zhang, Xing Wang, Sen Xu

Remote. Sens., July, 2024

preciseSLAM: Robust, Real-Time, LiDAR-Inertial-Ultrasonic Tightly-Coupled SLAM With Ultraprecise Positioning for Plant Factories.

Liang Gong, Bishu Gao, Yefeng Sun, Wei Zhang, Gengjie Lin, Zekai Zhang, Yanming Li, Chengliang Liu

IEEE Trans. Ind. Informatics, June, 2024

Standoff Target Tracking for Networked UAVs With Specified Performance via Deep Reinforcement Learning.

Yi Xia, Jun Du, Zekai Zhang, Ziyuan Wang, Jingzehua Xu, Weishi Mi

IEEE J. Sel. Top. Signal Process., April, 2024

Dynamic Packet Routing Based on Acoustic Signal Curve Propagation in the AUV-Assisted IoUT.

Ziyuan Wang, Jun Du, Chunxiao Jiang, Zekai Zhang, Yong Ren, Zhu Han

IEEE Internet Things J., March, 2024

AUV-Assisted Node Repair for IoUT Relying on Multiagent Reinforcement Learning.

Ziyuan Wang, Zekai Zhang, Jingjing Wang, Chunxiao Jiang, Wei Wei, Yong Ren

IEEE Internet Things J., February, 2024

Environment- and Energy-Aware AUV-Assisted Data Collection for the Internet of Underwater Things.

Zekai Zhang, Jingzehua Xu, Guanwen Xie, Jingjing Wang, Zhu Han, Yong Ren

IEEE Internet Things J., 2024

A unified architecture for super-resolution and segmentation of remote sensing images based on similarity feature fusion.

Lunqian Wang, Xinghua Wang, Weilin Liu, Hao Ding, Bo Xia, Zekai Zhang, Jinglin Zhang, Sen Xu

Displays, 2024

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering.

Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu

CoRR, 2024

E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models.

Zhenyu Zhang, Bingguang Hao, Jinpeng Li, Zekai Zhang, Dongyan Zhao

CoRR, 2024

StyleChat: Learning Recitation-Augmented Memory in LLMs for Stylized Dialogue Generation.

Jinpeng Li, Zekai Zhang, Quan Tu, Xin Cheng, Dongyan Zhao, Rui Yan

CoRR, 2024

StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis.

Zecheng Tang, Chenfei Wu, Zekai Zhang, Mingheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan

CoRR, 2024

Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.

Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li

Adv. Eng. Informatics, 2024

Vol and Energy-Aware AUV-Assisted Data Collection for Internet of Underwater Things.

Jingzehua Xu, Zekai Zhang, Ziyuan Wang, Jingjing Wang, Yong Rent

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

UUVSim: Intelligent Modular Simulation Platform for Unmanned Underwater Vehicle Learning.

Zekai Zhang, Jingzehua Xu, Jun Du, Weishi Mi, Ziyuan Wang, Zonglin Li, Yong Ren

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning.

Jingzehua Xu, Yimian Ding, Zekai Zhang, Guanwen Xie, Ziyuan Wang, Yongming Zeng, Gang Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Robust NLOS Error Mitigation for Hybrid AOA and TOA Localization.

Yanbin Zou, Zekai Zhang, Huaping Liu

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

StrokeNUWA - Tokenizing Strokes for Vector Graphic Synthesis.

Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic.

Jingzehua Xu, Ziqi Jia, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion Using Transformer.

Baihui Xiao, Jingzehua Xu, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion.

Zekai Zhang, Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Design of Light-Weight Encryption Algorithm Based on RISC-V Platform: (PhD Forum Paper).

Zekai Zhang, Ray Chak Chung Cheung

Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications.

Zhuoheng Ran, Muhammad A. A. Abdelgawad, Zekai Zhang, Ray C. C. Cheung, Hong Yan

Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

Efficient Low-Dimensional Compression of Overparameterized Models.

Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion.

Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ResDiff: Combining CNN and Diffusion Model for Image Super-resolution.

Shuyao Shang, Zhengyang Shan, Guangxing Liu, Lunqian Wang, Xinghua Wang, Zekai Zhang, Jinglin Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Comprehensive Simulation Framework for Space-Air-Ground Integrated Network Propagation Channel Research.

Zekai Zhang, Shaoyang Song, Jingzehua Xu, Ziyuan Wang, Xiangwang Hou, Ming Zeng, Wei Men, Yong Ren

Sensors, November, 2023

Rethinking interactive networks and regression loss functions for industrial defect detection.

Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li

J. King Saud Univ. Comput. Inf. Sci., October, 2023

IDD-Net: Industrial defect detection method based on Deep-Learning.

Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han

Eng. Appl. Artif. Intell., 2023

Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics.

Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu

CoRR, 2023

DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths.

Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li

Proceedings of the International Joint Conference on Neural Networks, 2023

ULKNet:Rethinking Large Kernel CNN with UNet-Attention for Remote Sensing Images Semantic Segmentation.

Weilin Liu, Lunqian Wang, Xinghua Wang, Hao Ding, Bo Xia, Zekai Zhang

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

LeaF: Learning Frames for 4D Point Cloud Sequence Understanding.

Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation.

Jinpeng Li, Zekai Zhang, Xiuying Chen, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Design and Implementation of a Modular UUV Simulation Platform.

Zekai Zhang, Weishi Mi, Jun Du, Ziyuan Wang, Wei Wei, Yuang Zhang, Yutong Yang, Yong Ren

Sensors, 2022

Application of Computer 3D Printing Technology in Clothing Design.

Zekai Zhang

Proceedings of the World Automation Congress, 2022

2021

A Temperature Compensation Approach for Dual-Mass MEMS Gyroscope Based on PE-LCD and ANFIS.

Huiliang Cao, Wenqiang Wei, Li Liu, Tiancheng Ma, Zekai Zhang, Wenjie Zhang, Chong Shen, Xiaomin Duan

IEEE Access, 2021