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Tianjiao Liu
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2020 – today
- 2024
- [j13]Xiaoxiao Guo, Jianwei Xia, Hao Shen, Tianjiao Liu, Chengyuan Yan:
Predictive Control for Takagi-Sugeno Fuzzy Large-Scale Networked Control Systems. Int. J. Fuzzy Syst. 26(4): 1107-1119 (2024) - [j12]Zhuo Zhang, Jianwei Zhang, Ziye Du, Chao Chen, Yinli Zhou, Jingjing Sun, Tianjiao Liu, Jiye Zhang, Xing Zhang, Yongqiang Ning, Lijun Wang:
High-Efficiency Frequency Doubling Blue-Laser VECSEL Based on Intracavity Beam Control. Sensors 24(12): 3913 (2024) - [j11]Jingfei Mu, Yinli Zhou, Chao Chen, Xing Zhang, Jianwei Zhang, Tianjiao Liu, Zhuo Zhang, Yuehui Xu, Gaohui Yuan, Jiye Zhang, Yongqiang Ning, Lijun Wang:
Simulation of Modal Control of Metal Mode-Filtered Vertical-Cavity Surface-Emitting Laser. Sensors 24(14): 4700 (2024) - [j10]Tianjiao Liu, Jianwei Xia, Guoliang Chen, Ju H. Park, Xiangpeng Xie:
Stabilization of Noisy Sampled-Data Networked Control Systems: Application to Interleaved Flyback Modular Integrated Converter Circuit. IEEE Trans. Circuits Syst. I Regul. Pap. 71(8): 3787-3798 (2024) - [c11]Haoran Chu, Tianjiao Liu, Yongsheng Yuan:
Improved KNN Algorithm Based on Local K Value Fitting. CACML 2024: 414-418 - [c10]Tianjiao Liu, Michael Cook, Chris Kendrick:
Repetitive Pulse Testing for LDMOS Transistor Reliability. IRPS 2024: 50 - 2023
- [j9]Xiaoxiao Guo, Jianwei Xia, Hao Shen, Chengyuan Yan, Xiao Wang, Tianjiao Liu:
Synchronization of time-delayed complex networks with delay-partitioning: A Chua's circuit networks application. J. Frankl. Inst. 360(18): 14208-14221 (2023) - [c9]Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. ICCV 2023: 5829-5841 - 2022
- [j8]Ying Zang, Dongsheng Yang, Tianjiao Liu, Hui Li, Shuguang Zhao, Qingshan Liu:
SparseShift-GCN: High precision skeleton-based action recognition. Pattern Recognit. Lett. 153: 136-143 (2022) - [j7]Jintao Lu, Xi Ouyang, Xueda Shen, Tianjiao Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images. IEEE J. Biomed. Health Informatics 26(4): 1582-1590 (2022) - [c8]Tianjiao Liu, Qiang Wang, Wenqi Zhang, Chen Xu:
CoRLNF: Joint Spatio-Temporal Pricing and Fleet Management for Ride-Hailing Platforms. ITSC 2022: 395-401 - [i1]Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. CoRR abs/2211.09703 (2022) - 2020
- [j6]Chi Zhang, Jinfei Ma, Jian Zhao, Pengbo Liu, Fengyu Cong, Tianjiao Liu, Ying Li, Lina Sun, Ruosong Chang:
Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness. Entropy 22(7): 787 (2020) - [c7]Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. MICCAI (Challenges) 2020: 135-144 - [c6]Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. MICCAI (Challenges) 2020: 145-154
2010 – 2019
- 2019
- [j5]Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen:
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. Medical Image Anal. 58 (2019) - [j4]Shan Zhang, Zhenxin Jia, Tianjiao Liu, Gang Wei, Zhiqiang Su:
Electrospinning Nanoparticles-Based Materials Interfaces for Sensor Applications. Sensors 19(18): 3977 (2019) - 2018
- [j3]Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu:
Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. Sensors 18(3): 860 (2018) - [j2]Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu:
Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms. Sensors 18(12): 4425 (2018) - 2017
- [c5]Runtao Ning, Tianjiao Liu, Wendi Wang, Zheng John Shen:
Modeling and analysis of stacked depletion-mode NMOS transistors for RF switch applications. EIT 2017: 34-38 - [c4]Tianjiao Liu, Shuaining Xie, Jing Yu, Lijuan Niu, Weidong Sun:
Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features. ICASSP 2017: 919-923 - [c3]Kang Qu, Xiangfei Chai, Tianjiao Liu, Yadong Zhang, Biao Leng, Zhang Xiong:
Computer-Aided Diagnosis in Chest Radiography with Deep Multi-Instance Learning. ICONIP (4) 2017: 723-731 - [c2]Tianjiao Liu, Shuaining Xie, Yukang Zhang, Jing Yu, Lijuan Niu, Weidong Sun:
Feature selection and thyroid nodule classification using transfer learning. ISBI 2017: 1096-1099 - 2013
- [j1]Changqiao Xu, Tianjiao Liu, Jianfeng Guan, Hongke Zhang, Gabriel-Miro Muntean:
CMT-QA: Quality-Aware Adaptive Concurrent Multipath Data Transfer in Heterogeneous Wireless Networks. IEEE Trans. Mob. Comput. 12(11): 2193-2205 (2013) - 2012
- [c1]Tianjiao Liu, Xu Li, Cheng Chen, Shulin Cui, Ying Liu:
PAPR Reduction for 802.16e by Clipping and Tone Reservation Based on Amplitude Scale Factor. ICPCA/SWS 2012: 339-349
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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