Kaikai Zhao

According to our database, Kaikai Zhao authored at least 26 papers between 2013 and 2026.

Collaborative distances:

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

2026

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration.

Yisheng Zhang, Guoli Jia, Haote Hu, Shanxu Zhao, Kaikai Zhao, Long Sun, Xinwei Long, Kai Tian, Che Jiang, Zhaoxiang Liu, Kai Wang, Shiguo Lian, Kaiyan Zhang, Bowen Zhou

CoRR, March, 2026

KAConvNet: Kolmogorov-Arnold convolutional networks for vision recognition.

Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian

Image Vis. Comput., 2026

2025

Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis.

Kaikai Zhao, Zhaoxiang Liu, Xuejiao Lei, Ning Wang, Zhenhong Long, Jiaojiao Zhao, Zipeng Wang, Peijun Yang, Minjie Hua, Chaoyang Ma, Wen Liu, Kai Wang, Shiguo Lian

CoRR, February, 2025

MITS: A large-scale multimodal benchmark dataset for Intelligent Traffic Surveillance.

Kaikai Zhao, Zhaoxiang Liu, Peng Wang, Xin Wang, Zhicheng Ma, Yajun Xu, Wenjing Zhang, Yibing Nan, Kai Wang, Shiguo Lian

Image Vis. Comput., 2025

Data Leakage Detection in Large Vision-Language Models via Multimodal Perturbation.

Xin Wang, Zhaoxiang Liu, Yue Zhan, Kaikai Zhao, Kai Wang, Shiguo Lian

Proceedings of the Image and Graphics - 13th International Conference, 2025

CORTEX: A Capability-Driven Reasoning Framework for Zero-Shot Large Language Model Selection.

Kaikai Zhao, Zhaoxiang Liu, Zipeng Wang, Xin Wang, Heng Yang, Ning Wang, Kai Wang, Shiguo Lian

Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, 2025

Quantifying Capability Boundaries: An Application-Driven Analysis for Large Language Model Selection.

Kaikai Zhao, Zhaoxiang Liu, Shun Lu, Xuejiao Lei, Xin Wang, Wen Liu, Kai Wang, Shiguo Lian

Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, 2025

2024

CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models.

Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu, Meijuan An, Bikun Yang, Kaikai Zhao, Kai Wang, Shiguo Lian

CoRR, 2024

A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal.

Zhiyu Ji, Kaikai Zhao, Zhaoxiang Liu, Huan Hu, Zhongheng Sun, Shiguo Lian

IEEE Access, 2024

What is the Best Model? Application-Driven Evaluation for Large Language Models.

Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Self-supervised Visual Anomaly Detection with Image Patch Generation and Comparison Networks.

Jianfeng Huang, Kaikai Zhao, Chenyang Li, Yimin Lin, Zhaoxiang Liu, Kai Wang, Shiguo Lian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer.

Kaikai Zhao, Norimichi Ukita

CoRR, 2023

2022

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System.

Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma

Sensors, 2022

Application-Driven AI Paradigm for Human Action Recognition.

Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian

CoRR, 2022

A Waste Copper Granules Rating System Based on Machine Vision.

Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian

CoRR, 2022

2021

Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network.

Hao Xiao, Kaikai Zhao, Guangzhu Liu

IEICE Trans. Inf. Syst., 2021

2020

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking.

Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

J. Intell. Inf. Syst., 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

2018

Large-scale k-means clustering via variance reduction.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin

Neurocomputing, 2018

Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses.

Jingjing Chen, Youjiao Si, Kaikai Zhao, Xianglong Shi, Weiqun Bi, Shi-en Liu, Hui Hua

BMC Medical Imaging, 2018

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2015

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity.

Kaikai Zhao, Einoshin Suzuki

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

2014

ESmodels: An Epistemic Specification Solver.

Zhizheng Zhang, Kaikai Zhao

CoRR, 2014

Facial Expression Data Constructed with Kinect and Their Clustering Stability.

Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki

Proceedings of the Active Media Technology - 10th International Conference, 2014

2013

ESmodels: An Inference Engine of Epistemic Specifications.

Zhizheng Zhang, Kaikai Zhao, Rongcun Cui

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013