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2020 – today
- 2024
[c53]Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. FedCSIS (Communication Papers) 2024: 185-190- [c52]Ming Liu, Ling Cen, Dymitr Ruta, Quang Hieu Vu:
Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge. FedCSIS 2024: 761-766 - 2023
- [c51]Dymitr Ruta, Ming Liu, Ling Cen:
Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. FedCSIS 2023: 1301-1306 - [c50]Ming Liu, Ling Cen, Dymitr Ruta:
Gradient boosting models for cybersecurity threat detection with aggregated time series features. FedCSIS 2023: 1311-1315 - [c49]Dymitr Ruta, Ming Liu, Ling Cen, Di Wang:
Feature Engineering for Predicting Frags in Tactical Games. ICME Workshops 2023: 28-33 - 2022
- [c48]Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu:
Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. FedCSIS 2022: 431-436 - [c47]Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu:
Key Factors to Consider when Predicting the Costs of Forwarding Contracts. FedCSIS 2022: 447-450 - [c46]Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu:
Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. ICAISC (2) 2022: 49-58 - [c45]Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen:
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation. KDD 2022: 4612-4620 - [i1]Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen:
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation. CoRR abs/2207.09920 (2022) - 2021
- [c44]Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu:
Automated feature engineering for prediction of victories in online computer games. IEEE BigData 2021: 5672-5678 - [c43]Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
A combination of general and specific models to predict victories in video games. IEEE BigData 2021: 5683-5690 - [c42]Ling Cen, Kin Poon, Anis Ouali, Ming Liu:
Model Transformation for Automatic Design of GPON/FTTH Network. IEEM 2021: 1382-1386 - 2020
- [j18]Ling Cen
, Dymitr Ruta, Lamees Mahmoud Mohd Said Al Qassem, Jason W. P. Ng:
Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. IEEE Trans. Learn. Technol. 13(2): 283-296 (2020) - [c41]Dymitr Ruta, Ling Cen, Quang Hieu Vu:
Deep Bi-Directional LSTM Networks for Device Workload Forecasting. FedCSIS 2020: 115-118
2010 – 2019
- 2019
- [j17]Jinhong Huang, Zhu Liang Yu, Zhenghui Gu, Jun Zhang, Ling Cen:
Sparse and heuristic support vector machine for binary classifier and regressor fusion. Int. J. Mach. Learn. Cybern. 10(12): 3667-3686 (2019) - [j16]Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan S. Nagarajan, Yuanqing Li:
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. 66(9): 2457-2469 (2019) - [c40]Quang Hieu Vu, Dymitr Ruta, Ling Cen:
Gradient boosting decision trees for cyber security threats detection based on network events logs. IEEE BigData 2019: 5921-5928 - [c39]Dymitr Ruta, Ling Cen, Quang Hieu Vu:
Greedy Incremental Support Vector Regression. FedCSIS 2019: 7-9 - [c38]Ling Cen, Quang Hieu Vu, Dymitr Ruta:
Efficient Support Vector Regression with Reduced Training Data. FedCSIS 2019: 15-18 - 2018
- [j15]Jun Zhang, Zhu Liang Yu, Ling Cen, Zhenghui Gu, Zhiping Lin, Yuanqing Li:
Deterministic construction of sparse binary matrices via incremental integer optimization. Inf. Sci. 430: 504-518 (2018) - [c37]Ling Cen, Zhu Liang Yu, Tilmann Kluge, Wee Ser:
Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network. EMBC 2018: 3975-3978 - [c36]Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu:
Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. FedCSIS 2018: 181-184 - [c35]Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen:
Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. FedCSIS 2018: 197-200 - [c34]Dymitr Ruta, Yousef Abosalem, Ling Cen:
Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. FIE 2018: 1-8 - 2017
- [j14]Ling Cen, K. C. John Wei, Liyan Yang:
Disagreement, Underreaction, and Stock Returns. Manag. Sci. 63(4): 1214-1231 (2017) - [c33]Quang Hieu Vu, Dymitr Ruta, Ling Cen:
An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. FedCSIS 2017: 149-152 - [c32]Ling Cen, Zhu Liang Yu, Yun Tang, Wen Shi, Tilmann Kluge, Wee Ser:
Deep Learning Method for Sleep Stage Classification. ICONIP (2) 2017: 796-802 - [c31]Ling Cen, Dymitr Ruta, Andrzej Ruta:
Using Recommendations for Trade Returns Prediction with Machine Learning. ISMIS 2017: 718-727 - [c30]Andrzej Ruta, Dymitr Ruta, Ling Cen:
Algorithmic Daily Trading Based on Experts' Recommendations. ISMIS 2017: 735-744 - [c29]Ling Cen, Dymitr Ruta:
A Map-Based Gender Prediction Model for Big E-Commerce Data. iThings/GreenCom/CPSCom/SmartData 2017: 1025-1029 - [c28]Dymitr Ruta, Ling Cen, Ernesto Damiani:
Summarization-Guided Greedy Optimization of Machine Learning Model. MLDM 2017: 306-321 - 2016
- [j13]Ling Cen, Dymitr Ruta, Leigh Powell, Benjamin Hirsch, Jason W. P. Ng:
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. Int. J. Comput. Support. Collab. Learn. 11(2): 187-225 (2016) - [j12]Xiaolan Liu, Fengye Hu, Wei Xiong, Yu Du, Ling Cen:
Sparse array synthesis for WBAN with minimised side lobe via convex optimisation. IET Commun. 10(17): 2452-2460 (2016) - [j11]Ling Cen, Sudipto Dasgupta, Rik Sen:
Discipline or Disruption? Stakeholder Relationships and the Effect of Takeover Threat. Manag. Sci. 62(10): 2820-2841 (2016) - [j10]Yu Du, Fengye Hu, Xiaolan Liu, Ling Cen, Wei Xiong:
Planar Sparse Array Synthesis for Sensor Selection by Convex Optimization with Constrained Beam Pattern. Wirel. Pers. Commun. 89(4): 1147-1163 (2016) - 2015
- [j9]Fengye Hu, Yu Du, Ling Cen, Kai Ma, Lu Wang:
Signal Detection in MIMO-OFDM Systems Based on SSDE Algorithm. Wirel. Pers. Commun. 82(4): 2709-2725 (2015) - [c27]Dymitr Ruta, Ling Cen, Ernesto Damiani:
Fast summarization and anonymization of multivariate big time series. IEEE BigData 2015: 1901-1904 - [c26]Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng:
Interaction driven composition of student groups for optimal groupwork learning performance. FIE 2015: 1-6 - [c25]Ling Cen, Dymitr Ruta, Jason W. P. Ng:
Big education: Opportunities for Big Data analytics. DSP 2015: 502-506 - [c24]Dymitr Ruta, Ling Cen:
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. RSFDGrC 2015: 485-493 - 2014
- [c23]Ling Cen, Jianfei Luo:
Embedded Compounding Monosyllabic Morphemes: A Perspective from the Lexical Study and TCFL. CLSW 2014: 3-11 - [c22]Jason W. P. Ng, Dymitr Ruta, Ahmad Al-Rubaie, Di Wang, Leigh Powell, Benjamin Hirsch, Ming Liu, Ling Cen, Ahmed Al Dhanhani:
Smart Learning for the Next Generation Education Environment. Intelligent Environments 2014: 333-340 - 2013
- [j8]Ling Cen, Hai Lu, Liyan Yang:
Investor Sentiment, Disagreement, and the Breadth-Return Relationship. Manag. Sci. 59(5): 1076-1091 (2013) - [j7]Ling Cen, Kalok Chan, Sudipto Dasgupta, Ning Gao:
When the Tail Wags the Dog: Industry Leaders, Limited Attention, and Spurious Cross-Industry Information Diffusion. Manag. Sci. 59(11): 2566-2585 (2013) - 2012
- [c21]Minghui Dong, Siu Wa Lee, Paul Y. Chan, Ling Cen:
I2R Text-to-Speech System for Blizzard Challenge 2012. Blizzard Challenge 2012 - [c20]Ling Cen, Minghui Dong, Paul Y. Chan:
Template-based personalized singing voice synthesis. ICASSP 2012: 4509-4512 - 2011
- [c19]Ling Cen, Zhu Liang Yu, Minghui Dong:
Speech Emotion Recognition System Based on L1 Regularized Linear Regression and Decision Fusion. ACII (2) 2011: 332-340 - [c18]Minghui Dong, Siu Wa Lee, Paul Y. Chan, Ling Cen:
I2R Text-to-Speech System for Blizzard Challenge 2011. Blizzard Challenge 2011 - [c17]Ling Cen, Minghui Dong, Paul Y. Chan:
Linear Regression for Prosody Prediction via Convex Optimization. IALP 2011: 244-247 - [c16]Paul Y. Chan, Minghui Dong, Siu Wa Lee, Ling Cen:
Solo to a capella conversion - Synthesizing vocal harmony from lead vocals. ICME 2011: 1-6 - 2010
- [j6]Ling Cen, Minghui Dong, Paul Y. Chan, Haizhou Li:
Feature Integration and Dimension Reduction in Unit Selection TTS. Int. J. Asian Lang. Process. 20(1): 35-42 (2010) - [c15]Minghui Dong, Paul Y. Chan, Ling Cen, Bin Ma, Haizhou Li:
I2R Text-to-Speech System for Blizzard Challenge 2010. Blizzard Challenge 2010 - [c14]Minghui Dong, Paul Y. Chan, Ling Cen, Haizhou Li, Jason Teo, Ping Jen Kua:
Phonetic segmentation of singing voice using MIDI and parallel speech. INTERSPEECH 2010: 2890-2893 - [c13]Ling Cen, Wee Ser, Wei Cen, Zhu Liang Yu:
Linear sparse array synthesis via convex optimization. ISCAS 2010: 4233-4236 - [c12]Minghui Dong, Paul Y. Chan, Ling Cen, Haizhou Li:
Aligning singing voice with MIDI melody using synthesized audio signal. ISCSLP 2010: 95-98 - [c11]Paul Yaozhu Chan, Minghui Dong, Ling Cen, Haizhou Li:
The psychoacoustic approach towards enhancing speech intelligibility in noise. ISCSLP 2010: 238-241 - [c10]Ling Cen, Paul Y. Chan, Minghui Dong, Haizhou Li:
Generating emotional speech from neutral speech. ISCSLP 2010: 383-386 - [c9]Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li:
Considering readability in text-to-speech recording script design. SSW 2010: 312-316
2000 – 2009
- 2009
- [j5]Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li:
Readability Consideration in Speech Synthesis Recording Script Selection. Int. J. Asian Lang. Process. 19(2): 45-54 (2009) - [c8]Minghui Dong, Ling Cen, Paul Y. Chan, Dongyan Huang, Donglai Zhu, Bin Ma, Haizhou Li:
I2R Text-to-Speech System for Blizzard Challenge 2009. Blizzard Challenge 2009 - [c7]Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li:
Refining Unit Boundaries for Mandarin Text-to-Speech Database. IALP 2009: 245-248 - [c6]Ling Cen, Minghui Dong, Paul Y. Chan, Haizhou Li:
Unit selection based speech synthesis for poor channel condition. INTERSPEECH 2009: 2075-2078 - 2008
- [c5]Ling Cen, Wee Ser, Zhu Liang Yu, Susanto Rahardja:
An improved genetic algorithm for aperiodic array synthesis. ICASSP 2008: 2465-2468 - [c4]Ling Cen, Wee Ser, Zhu Liang Yu:
Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network. ICMLA 2008: 859-862 - [c3]Wee Ser, Ling Cen, Zhu Liang Yu:
A Hybrid PNN-GMM classification scheme for speech emotion recognition. ICPR 2008: 1-4 - 2007
- [j4]Ling Cen:
A hybrid genetic algorithm for the design of FIR filters with SPoT coefficients. Signal Process. 87(3): 528-540 (2007) - [j3]Ling Cen:
Frequency response masking filter design using an oscillation search genetic algorithm. Signal Process. 87(12): 3086-3095 (2007) - 2005
- [c2]Ling Cen, Yong Lian:
A hybrid GA for the design of multiplication-free frequency response masking filters [FIR digital filters]. ISCAS (1) 2005: 520-523 - 2003
- [j2]Feng Shan, Ling Li, Ling Cen, Jingping Huang:
Using MLP networks to design a production scheduling system. Comput. Oper. Res. 30(6): 821-832 (2003) - [c1]Yong Lian, Ling Cen:
A genetic algorithm for the design of low power high-speed FIR filters. ISSPA (1) 2003: 181-184 - 2001
- [j1]Feng Shan, Ling Xia Li, Ling Cen:
An object-oriented intelligent design tool to aid the design of manufacturing systems. Knowl. Based Syst. 14(5-6): 225-232 (2001)
Coauthor Index
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