Ting Ke

dblp:90/6087 · DBLP profile ↗
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18ranked-venue papers
9as first author
11since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 11 · 8 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 1 first-author · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2Computer networks · 1
YearPublicationVenuePosition
2026 Efficient Solution for Collaborative Dynamic Optimization of Maintenance-Scheduling in EMU Depots Based on Hierarchical Reinforcement Learning
Bofei Pei, Ting Ke, Zelong Sun, Zegao Cheng
ICIC3
2026 Maximal margin hyper-ellipsoid support vector machine for multi-class classification
Ting Ke, Mingzhu Meng, Feifei Yin
Eng. Appl. Artif. Intell.1
2025 A Lightweight BiMamba-PINN Framework for Enhanced Remaining Useful Life Prediction in Industrial Equipment
Min Li 0066, Haifeng Fan, Ting Ke
ICIC (16)4
2025 A robust maximal margin hypersphere support vector machine with pinball loss
Ting Ke, Mingzhu Meng, Mengyan Wu, Jianfeng Qin
Eng. Appl. Artif. Intell.1
2024 Exploration of Railway Signal Unloading Task Based on Deep Reinforcement Learning Method
Ting Ke, Yaozong Zheng, Zhanshuo Liu, Jianan Shen
ICIC (2)1
2024 AES Improvement Algorithm Based on the Chaotic System in IIOT
Jianrong Li, Pengyu Han, Huiying Sun, Ting Ke, Wei Chen 0036, Chuanlei Zhang
ICIC (8)5
2024 Infrared-Visible Light Image Fusion Method Based on Weighted Salience Detection and Visual Information Preservation
Ting Ke
ICIC (6)2
2024 A general maximal margin hyper-sphere SVM for multi-class classification
Ting Ke, Xuechun Ge, Feifei Yin, Yaozong Zheng, Chuanlei Zhang, Jianrong Li
Expert Syst. Appl.1
2023 Maximal margin hyper-sphere SVM for binary pattern classification
Ting Ke, Yangyang Liao, Mengyan Wu, Xuechun Ge, Xinyi Huang 0011, Chuanlei Zhang, Jianrong Li
Eng. Appl. Artif. Intell.1
2022 A Multi-step Attention and Multi-level Structure Network for Multimodal Sentiment Analysis
Chuanlei Zhang, Ting Ke, Jianrong Li
NLPCC (1)5
2021 Construct a robust least squares support vector machine based on Lp-norm and L∞-norm
Ting Ke, Xuechun Ge, Min Li 0066
Eng. Appl. Artif. Intell.1
2020 A Robust Least Squares Support Vector Machine Based on L∞-norm
Ting Ke, Xuechun Ge, Min Li 0066
Neural Process. Lett.1
2018 Global and local learning from positive and unlabeled examples
Ting Ke, Ling Jing, Yaping Hu
Appl. Intell.1
2014 Biased p-norm support vector machine for PU learning
Ting Ke, Naiyang Deng, Junyan Tan
Neurocomputing2
2012 Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification
Ting Ke, Ling Zhen, Junyan Tan, Ling Jing
ISNN (2)1
2012 Ambiguity Mitigating Technique for Cosine-Phased Binary Offset Carrier Signal
abstract
This letter focuses on mitigating ambiguity for cosine-phased binary offset carrier (BOC) modulated signals which are used in the global navigation satellite system (GNSS). The main idea is to use the cross-correlation function (CCF) of the received cosine-phased BOC signal with the specifically designed local auxiliary signal to counterbalance the undesired side peaks of the received BOC autocorrelation function (ACF), the final correlation function has only two small positive side peaks which can be rectified by combing with the classical bump jump (BJ) technique easily. The modulated symbol of the local auxiliary signal is derived and simulations show that at the cost of some degradation of detection probability in the acquisition phase the proposed method is better than the traditional BJ method in mitigating the ambiguity for cosine-phased BOC signals, especially when the subcarrier frequency is high and even under multipath interference.
Yanling Zhou, Xiulin Hu, Ting Ke, Zuping Tang
IEEE Trans. Wirel. Commun.3
2011 Code tracking performance analysis of GNSS signal in the presence of CW interference
Yihang Ran, Ting Ke, Xiulin Hu
Signal Process.3
2004 Research and application of the mixed control for coke oven collector pressure control systems
abstract
According to the characteristics of nonlinear, close coupling and multiple loops for coke oven collector pressure control systems, a new mixed control method is proposed. Using the variable integral PI control combing with uncoupling control based on relativity analysis, it solved the problem of collector pressure stability control for several coke oven with close coupling characteristics. The algorithm is proved to be useful and dependable in actual system.
Haipeng Pan, Ting Ke, Wenzhan Dai
ICARCV2