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2020 – today
- 2024
[j10]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: 108842 (2024)- [j9]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): 121710 (2024) - [j8]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: 122502 (2024) - [i1]Harrison Zhu, Ivan Fung, Yingke Zhu, Lahiru Samarakoon:
Configurable Multilingual ASR with Speech Summary Representations. CoRR abs/2410.04478 (2024) - 2023
- [j7]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: 119326 (2023) - [j6]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: 119580 (2023) - [j5]Yingke Zhu, Brian Mak:
Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1000-1012 (2023) - 2022
- [j4]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: 109132 (2022) - [j3]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): 180 (2022) - [j2]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): 108 (2022) - 2020
- [c8]Yingke Zhu, Brian Mak:
Orthogonal Training for Text-Independent Speaker Verification. ICASSP 2020: 6584-6588 - [c7]Yingke Zhu, Brian Mak:
Orthogonality Regularizations for End-to-End Speaker Verification. Odyssey 2020: 17-23
2010 – 2019
- 2019
- [c6]Yingke Zhu, Tom Ko, Brian Mak:
Mixup Learning Strategies for Text-Independent Speaker Verification. INTERSPEECH 2019: 4345-4349 - 2018
- [j1]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): 820-830 (2018) - [c5]Yingke Zhu, Tom Ko, David Snyder, Brian Mak, Daniel Povey:
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. INTERSPEECH 2018: 3573-3577 - 2017
- [c4]Yingke Zhu, Brian Mak:
Speeding up softmax computations in DNN-based large vocabulary speech recognition by senone weight vector selection. ICASSP 2017: 5335-5339 - 2016
- [c3]Zhili Tan, Yingke Zhu, Man-Wai Mak, Brian Kan-Wing Mak:
Senone I-vectors for robust speaker verification. ISCSLP 2016: 1-5 - [c2]Yingke Zhu, Brian Mak:
An investigation of adaptation techniques for building acoustic models for hearing-impaired children in a CAPT application. ISCSLP 2016: 1-5 - 2013
- [c1]Jihan Li, Shanglin Li, Yingke Zhu, Bo Xiao:
Design of personalized search engine based on user-webpage dynamic model. ICMV 2013: 90672E
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