Yingke Zhu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Ensemble Learning

Speaker Verification

Top Venues

Expert Syst. Appl.

Publications

Shangkun Deng, Qunfang Luo, Yingke Zhu, Hong Ning, Yiting Yu, Yizhuo Gao, Quan Shen, Tatsuro Shimada
Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method. Eng. Appl. Artif. Intell. 135 (2024)
Shangkun Deng, Yingke Zhu, Yiting Yu, Xiaoru Huang
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments. Expert Syst. Appl. 238 (Part A) (2024)
Shangkun Deng, Jiankang Su, Yingke Zhu, Yiting Yu, Chongyi Xiao
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization. Expert Syst. Appl. 242 (2024)
Shangkun Deng, Chongyi Xiao, Yingke Zhu, Jingyuan Peng, Jie Li, Zonghua Liu
High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set. Expert Syst. Appl. 215 (2023)
Shangkun Deng, Yingke Zhu, Shuangyang Duan, Yiting Yu, Zhe Fu, Jiahe Liu, Xiaoxue Yang, Zonghua Liu
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion. Expert Syst. Appl. 217 (2023)
Yingke Zhu, Brian Mak
Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Shangkun Deng, Chongyi Xiao, Yingke Zhu, Yu Tian, Zonghua Liu, Tianxiang Yang
Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment. Appl. Soft Comput. 125 (2022)
Shangkun Deng, Yingke Zhu, Xiaoru Huang, Shuangyang Duan, Zhe Fu
High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method. Future Internet 14 (6) (2022)
Shangkun Deng, Yingke Zhu, Shuangyang Duan, Zhe Fu, Zonghua Liu
Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators. Syst. 10 (4) (2022)
Yingke Zhu, Brian Mak
Orthogonal Training for Text-Independent Speaker Verification. ICASSP (2020)
Yingke Zhu, Brian Mak
Orthogonality Regularizations for End-to-End Speaker Verification. Odyssey (2020)
Yingke Zhu, Tom Ko, Brian Mak
Mixup Learning Strategies for Text-Independent Speaker Verification. INTERSPEECH (2019)
Yingke Zhu, Tom Ko, David Snyder, Brian Mak, Daniel Povey
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. INTERSPEECH (2018)
Zhili Tan, Man-Wai Mak, Brian Kan-Wing Mak, Yingke Zhu
Denoised Senone I-Vectors for Robust Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 26 (4) (2018)
Yingke Zhu, Brian Mak
Speeding up softmax computations in DNN-based large vocabulary speech recognition by senone weight vector selection. ICASSP (2017)
Zhili Tan, Yingke Zhu, Man-Wai Mak, Brian Kan-Wing Mak
Senone I-vectors for robust speaker verification. ISCSLP (2016)
Yingke Zhu, Brian Mak
An investigation of adaptation techniques for building acoustic models for hearing-impaired children in a CAPT application. ISCSLP (2016)
Jihan Li, Shanglin Li, Yingke Zhu, Bo Xiao
Design of personalized search engine based on user-webpage dynamic model. ICMV (2013)