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2020 – today
- 2024
[j7]Zhiyu Ji, Kaikai Zhao
, Zhaoxiang Liu, Huan Hu, Zhongheng Sun, Shiguo Lian:
A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal. IEEE Access 12: 42401-42410 (2024)- [c7]Jianfeng Huang, Kaikai Zhao, Chenyang Li, Yimin Lin, Zhaoxiang Liu, Kai Wang, Shiguo Lian:
Self-supervised Visual Anomaly Detection with Image Patch Generation and Comparison Networks. ICIC (10) 2024: 96-113 - [c6]Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu:
What is the Best Model? Application-Driven Evaluation for Large Language Models. NLPCC (3) 2024: 67-79 - [i6]Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu:
What is the best model? Application-driven Evaluation for Large Language Models. CoRR abs/2406.10307 (2024) - [i5]Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu, Meijuan An, Bikun Yang, Kaikai Zhao, Kai Wang, Shiguo Lian:
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models. CoRR abs/2406.10311 (2024) - 2023
- [i4]Kaikai Zhao, Norimichi Ukita:
KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer. CoRR abs/2302.11208 (2023) - 2022
- [j6]Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma:
MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. Sensors 22(11): 4081 (2022) - [i3]Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian:
A Waste Copper Granules Rating System Based on Machine Vision. CoRR abs/2207.04575 (2022) - [i2]Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian:
Application-Driven AI Paradigm for Human Action Recognition. CoRR abs/2209.15271 (2022) - 2021
- [j5]Hao Xiao, Kaikai Zhao, Guangzhu Liu:
Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network. IEICE Trans. Inf. Syst. 104-D(5): 772-775 (2021) - 2020
- [c5]Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa:
From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR 2020: 2506-2513
2010 – 2019
- 2019
- [j4]Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu:
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019) - [j3]Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki:
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. 52(2): 367-392 (2019) - 2018
- [j2]Jingjing Chen, Youjiao Si, Kaikai Zhao, Xianglong Shi, Weiqun Bi, Shi-en Liu, Hui Hua:
Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses. BMC Medical Imaging 18(1): 56:1-56:7 (2018) - [j1]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin:
Large-scale k-means clustering via variance reduction. Neurocomputing 307: 184-194 (2018) - [c4]Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki:
Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR 2018: 860-867 - 2015
- [c3]Kaikai Zhao, Einoshin Suzuki:
Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. ISMIS 2015: 150-159 - 2014
- [c2]Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki:
Facial Expression Data Constructed with Kinect and Their Clustering Stability. AMT 2014: 421-431 - [i1]Zhizheng Zhang, Kaikai Zhao:
ESmodels: An Epistemic Specification Solver. CoRR abs/1405.3486 (2014) - 2013
- [c1]Zhizheng Zhang, Kaikai Zhao, Rongcun Cui:
ESmodels: An Inference Engine of Epistemic Specifications. ICTAI 2013: 769-774
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