Ling Cen

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 39

Top Topics

Gradient Boosting

Obstructive Sleep Apnea

Convolutional Neural Network

Top Venues

Wirel. Pers. Commun.

Publications

Dymitr Ruta, Ming Liu, Ling Cen
Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. FedCSIS (2023)
Ming Liu, Ling Cen, Dymitr Ruta
Gradient boosting models for cybersecurity threat detection with aggregated time series features. FedCSIS (2023)
Dymitr Ruta, Ming Liu, Ling Cen, Di Wang
Feature Engineering for Predicting Frags in Tactical Games. ICME Workshops (2023)
Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu
Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. ICAISC (2) (2022)
Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu
Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. FedCSIS (2022)
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 (2022)
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)
Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu
Key Factors to Consider when Predicting the Costs of Forwarding Contracts. FedCSIS (2022)
Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu
Automated feature engineering for prediction of victories in online computer games. IEEE BigData (2021)
Ling Cen, Kin Poon, Anis Ouali, Ming Liu
Model Transformation for Automatic Design of GPON/FTTH Network. IEEM (2021)
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)
Dymitr Ruta, Ling Cen, Quang Hieu Vu
Deep Bi-Directional LSTM Networks for Device Workload Forecasting. FedCSIS (2020)
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) (2020)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan Nagarajan, Yuanqing Li
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. 66 (9) (2019)
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) (2019)
Quang Hieu Vu, Dymitr Ruta, Ling Cen
Gradient boosting decision trees for cyber security threats detection based on network events logs. IEEE BigData (2019)
Ling Cen, Quang Hieu Vu, Dymitr Ruta
Efficient Support Vector Regression with Reduced Training Data. FedCSIS (2019)
Dymitr Ruta, Ling Cen, Quang Hieu Vu
Greedy Incremental Support Vector Regression. FedCSIS (2019)
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 (2018)
Dymitr Ruta, Yousef Abosalem, Ling Cen
Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. FIE (2018)
Ling Cen, Zhu Liang Yu, Tilmann Kluge, Wee Ser
Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network. EMBC (2018)
Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu
Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. FedCSIS (2018)
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)
Dymitr Ruta, Ling Cen, Ernesto Damiani
Summarization-Guided Greedy Optimization of Machine Learning Model. MLDM (2017)
Ling Cen, Zhu Liang Yu, Yun Tang, Wen Shi, Tilmann Kluge, Wee Ser
Deep Learning Method for Sleep Stage Classification. ICONIP (2) (2017)
Ling Cen, K. C. John Wei, Liyan Yang
Disagreement, Underreaction, and Stock Returns. Manag. Sci. 63 (4) (2017)
Andrzej Ruta, Dymitr Ruta, Ling Cen
Algorithmic Daily Trading Based on Experts' Recommendations. ISMIS (2017)
Ling Cen, Dymitr Ruta, Andrzej Ruta
Using Recommendations for Trade Returns Prediction with Machine Learning. ISMIS (2017)
Quang Hieu Vu, Dymitr Ruta, Ling Cen
An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. FedCSIS (2017)
Ling Cen, Dymitr Ruta
A Map-Based Gender Prediction Model for Big E-Commerce Data. iThings/GreenCom/CPSCom/SmartData (2017)
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) (2016)
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) (2016)
Ling Cen, Sudipto Dasgupta, Rik Sen
Discipline or Disruption? Stakeholder Relationships and the Effect of Takeover Threat. Manag. Sci. 62 (10) (2016)
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) (2016)
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) (2015)
Dymitr Ruta, Ling Cen, Ernesto Damiani
Fast summarization and anonymization of multivariate big time series. IEEE BigData (2015)
Ling Cen, Dymitr Ruta, Jason W. P. Ng
Big education: Opportunities for Big Data analytics. DSP (2015)
Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng
Interaction driven composition of student groups for optimal groupwork learning performance. FIE (2015)
Dymitr Ruta, Ling Cen
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. RSFDGrC (2015)
Jason W. P. Ng, Dymitr Ruta, Ahmad Al-Rubaie, Di Wang, Leigh Powell, Benjamin Hirsch, Liu Ming, Ling Cen, Ahmed Al Dhanhani
Smart Learning for the Next Generation Education Environment. Intelligent Environments (2014)
Ling Cen, Jianfei Luo
Embedded Compounding Monosyllabic Morphemes: A Perspective from the Lexical Study and TCFL. CLSW (2014)
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) (2013)
Ling Cen, Hai Lu, Liyan Yang
Investor Sentiment, Disagreement, and the Breadth-Return Relationship. Manag. Sci. 59 (5) (2013)
Ling Cen, Minghui Dong, Paul Y. Chan
Template-based personalized singing voice synthesis. ICASSP (2012)
Ling Cen, Minghui Dong, Paul Y. Chan
Linear Regression for Prosody Prediction via Convex Optimization. IALP (2011)
Ling Cen, Zhu Liang Yu, Minghui Dong
Speech Emotion Recognition System Based on L1 Regularized Linear Regression and Decision Fusion. ACII (2) (2011)
Paul Y. Chan, Minghui Dong, Siu Wa Lee, Ling Cen
Solo to a capella conversion - Synthesizing vocal harmony from lead vocals. ICME (2011)
Ling Cen, Paul Y. Chan, Minghui Dong, Haizhou Li
Generating emotional speech from neutral speech. ISCSLP (2010)
Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li
Considering readability in text-to-speech recording script design. SSW (2010)
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)
Ling Cen, Wee Ser, Wei Cen, Zhu Liang Yu
Linear sparse array synthesis via convex optimization. ISCAS (2010)
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) (2010)
Paul Yaozhu Chan, Minghui Dong, Ling Cen, Haizhou Li
The psychoacoustic approach towards enhancing speech intelligibility in noise. ISCSLP (2010)
Minghui Dong, Paul Y. Chan, Ling Cen, Haizhou Li
Aligning singing voice with MIDI melody using synthesized audio signal. ISCSLP (2010)
Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li
Refining Unit Boundaries for Mandarin Text-to-Speech Database. IALP (2009)
Ling Cen, Minghui Dong, Paul Y. Chan, Haizhou Li
Unit selection based speech synthesis for poor channel condition. INTERSPEECH (2009)
Minghui Dong, Ling Cen, Paul Y. Chan, Haizhou Li
Readability Consideration in Speech Synthesis Recording Script Selection. Int. J. Asian Lang. Process. 19 (2) (2009)
Ling Cen, Wee Ser, Zhu Liang Yu, Susanto Rahardja
An improved genetic algorithm for aperiodic array synthesis. ICASSP (2008)
Ling Cen, Wee Ser, Zhu Liang Yu
Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network. ICMLA (2008)
Wee Ser, Ling Cen, Zhu Liang Yu
A Hybrid PNN-GMM classification scheme for speech emotion recognition. ICPR (2008)
Ling Cen
Frequency response masking filter design using an oscillation search genetic algorithm. Signal Process. 87 (12) (2007)
Ling Cen
A hybrid genetic algorithm for the design of FIR filters with SPoT coefficients. Signal Process. 87 (3) (2007)
Ling Cen, Yong Lian
A hybrid GA for the design of multiplication-free frequency response masking filters [FIR digital filters]. ISCAS (1) (2005)
Feng Shan, Ling Li, Ling Cen, Jingping Huang
Using MLP networks to design a production scheduling system. Comput. Oper. Res. 30 (6) (2003)
Yong Lian, Ling Cen
A genetic algorithm for the design of low power high-speed FIR filters. ISSPA (1) (2003)
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) (2001)