An object-oriented intelligent design tool to aid the design of manufacturing systems. - Feng Shan; Ling Xia Li; Ling Cen (Knowl. Based Syst., 2001)

A genetic algorithm for the design of low power high-speed FIR filters. - Yong Lian 001; Ling Cen (ISSPA (1), 2003)

Using MLP networks to design a production scheduling system. - Feng Shan; Ling Li; Ling Cen; Jingping Huang (Comput. Oper. Res., 2003)

A hybrid GA for the design of multiplication-free frequency response masking filters [FIR digital filters]. - Ling Cen; Yong Lian 001 (ISCAS (1), 2005)

A hybrid genetic algorithm for the design of FIR filters with SPoT coefficients. - Ling Cen (Signal Process., 2007)

Frequency response masking filter design using an oscillation search genetic algorithm. - Ling Cen (Signal Process., 2007)

An improved genetic algorithm for aperiodic array synthesis. - Ling Cen; Wee Ser; Zhu Liang Yu; Susanto Rahardja (ICASSP, 2008)

Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network. - Ling Cen; Wee Ser; Zhu Liang Yu (ICMLA, 2008)

A Hybrid PNN-GMM classification scheme for speech emotion recognition. - Wee Ser; Ling Cen; Zhu Liang Yu (ICPR, 2008)

I2R Text-to-Speech System for Blizzard Challenge 2009. - Minghui Dong; Ling Cen; Paul Y. Chan; Dongyan Huang; Donglai Zhu; Bin Ma 001; Haizhou Li 001 (Blizzard Challenge, 2009)

Refining Unit Boundaries for Mandarin Text-to-Speech Database. - Minghui Dong; Ling Cen; Paul Y. Chan; Haizhou Li 001 (IALP, 2009)

Unit selection based speech synthesis for poor channel condition. - Ling Cen; Minghui Dong; Paul Y. Chan; Haizhou Li 001 (INTERSPEECH, 2009)

Readability Consideration in Speech Synthesis Recording Script Selection. - Minghui Dong; Ling Cen; Paul Y. Chan; Haizhou Li 001 (Int. J. Asian Lang. Process., 2009)

I2R Text-to-Speech System for Blizzard Challenge 2010. - Minghui Dong; Paul Y. Chan; Ling Cen; Bin Ma 001; Haizhou Li 001 (Blizzard Challenge, 2010)

Phonetic segmentation of singing voice using MIDI and parallel speech. - Minghui Dong; Paul Y. Chan; Ling Cen; Haizhou Li 001; Jason Teo; Ping Jen Kua (INTERSPEECH, 2010)

Linear sparse array synthesis via convex optimization. - Ling Cen; Wee Ser; Wei Cen; Zhu Liang Yu (ISCAS, 2010)

Generating emotional speech from neutral speech. - Ling Cen; Paul Y. Chan; Minghui Dong; Haizhou Li 001 (ISCSLP, 2010)

The psychoacoustic approach towards enhancing speech intelligibility in noise. - Paul Yaozhu Chan; Minghui Dong; Ling Cen; Haizhou Li 001 (ISCSLP, 2010)

Aligning singing voice with MIDI melody using synthesized audio signal. - Minghui Dong; Paul Y. Chan; Ling Cen; Haizhou Li 001 (ISCSLP, 2010)

Considering readability in text-to-speech recording script design. - Minghui Dong; Ling Cen; Paul Y. Chan; Haizhou Li 001 (SSW, 2010)

Feature Integration and Dimension Reduction in Unit Selection TTS. - Ling Cen; Minghui Dong; Paul Y. Chan; Haizhou Li 001 (Int. J. Asian Lang. Process., 2010)

Speech Emotion Recognition System Based on L1 Regularized Linear Regression and Decision Fusion. - Ling Cen; Zhu Liang Yu; Minghui Dong (ACII (2), 2011)

I2R Text-to-Speech System for Blizzard Challenge 2011. - Minghui Dong; Siu Wa Lee; Paul Y. Chan; Ling Cen (Blizzard Challenge, 2011)

Linear Regression for Prosody Prediction via Convex Optimization. - Ling Cen; Minghui Dong; Paul Y. Chan (IALP, 2011)

Solo to a capella conversion - Synthesizing vocal harmony from lead vocals. - Paul Y. Chan; Minghui Dong; Siu Wa Lee; Ling Cen (ICME, 2011)

I2R Text-to-Speech System for Blizzard Challenge 2012. - Minghui Dong; Siu Wa Lee; Paul Y. Chan; Ling Cen (Blizzard Challenge, 2012)

Template-based personalized singing voice synthesis. - Ling Cen; Minghui Dong; Paul Y. Chan (ICASSP, 2012)

When the Tail Wags the Dog: Industry Leaders, Limited Attention, and Spurious Cross-Industry Information Diffusion. - Ling Cen; Kalok Chan; Sudipto Dasgupta; Ning Gao (Manag. Sci., 2013)

Investor Sentiment, Disagreement, and the Breadth-Return Relationship. - Ling Cen; Hai Lu; Liyan Yang (Manag. Sci., 2013)

Embedded Compounding Monosyllabic Morphemes: A Perspective from the Lexical Study and TCFL. - Ling Cen; Jianfei Luo (CLSW, 2014)

Smart Learning for the Next Generation Education Environment. - Jason W. P. Ng; Dymitr Ruta; Ahmad Al-Rubaie; Di Wang 001; Leigh Powell; Benjamin Hirsch; Ming Liu; Ling Cen; Ahmed Al Dhanhani (Intelligent Environments, 2014)

Fast summarization and anonymization of multivariate big time series. - Dymitr Ruta; Ling Cen; Ernesto Damiani (IEEE BigData, 2015)

Interaction driven composition of student groups for optimal groupwork learning performance. - Ling Cen; Dymitr Ruta; Leigh Powell; Jason W. P. Ng (FIE, 2015)

Big education: Opportunities for Big Data analytics. - Ling Cen; Dymitr Ruta; Jason W. P. Ng (DSP, 2015)

Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. - Dymitr Ruta; Ling Cen (RSFDGrC, 2015)

Signal Detection in MIMO-OFDM Systems Based on SSDE Algorithm. - Fengye Hu; Yu Du; Ling Cen; Kai Ma; Lu Wang (Wirel. Pers. Commun., 2015)

Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. - Ling Cen; Dymitr Ruta; Leigh Powell; Benjamin Hirsch; Jason W. P. Ng (Int. J. Comput. Support. Collab. Learn., 2016)

Sparse array synthesis for WBAN with minimised side lobe via convex optimisation. - Xiaolan Liu 004; Fengye Hu; Wei Xiong; Yu Du; Ling Cen (IET Commun., 2016)

Discipline or Disruption? Stakeholder Relationships and the Effect of Takeover Threat. - Ling Cen; Sudipto Dasgupta; Rik Sen (Manag. Sci., 2016)

Planar Sparse Array Synthesis for Sensor Selection by Convex Optimization with Constrained Beam Pattern. - Yu Du; Fengye Hu; Xiaolan Liu 004; Ling Cen; Wei Xiong (Wirel. Pers. Commun., 2016)

An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. - Quang Hieu Vu; Dymitr Ruta; Ling Cen (FedCSIS, 2017)

Deep Learning Method for Sleep Stage Classification. - Ling Cen; Zhu Liang Yu; Yun Tang 003; Wen Shi; Tilmann Kluge; Wee Ser (ICONIP (2), 2017)

Using Recommendations for Trade Returns Prediction with Machine Learning. - Ling Cen; Dymitr Ruta; Andrzej Ruta (ISMIS, 2017)

Algorithmic Daily Trading Based on Experts' Recommendations. - Andrzej Ruta; Dymitr Ruta; Ling Cen (ISMIS, 2017)

A Map-Based Gender Prediction Model for Big E-Commerce Data. - Ling Cen; Dymitr Ruta (iThings/GreenCom/CPSCom/SmartData, 2017)

Summarization-Guided Greedy Optimization of Machine Learning Model. - Dymitr Ruta; Ling Cen; Ernesto Damiani (MLDM, 2017)

Disagreement, Underreaction, and Stock Returns. - Ling Cen; K. C. John Wei; Liyan Yang (Manag. Sci., 2017)

Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network. - Ling Cen; Zhu Liang Yu; Tilmann Kluge; Wee Ser (EMBC, 2018)

Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. - Ling Cen; Andrzej Ruta; Dymitr Ruta; Quang Hieu Vu (FedCSIS, 2018)

Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. - Quang Hieu Vu; Dymitr Ruta; Andrzej Ruta; Ling Cen (FedCSIS, 2018)

Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. - Dymitr Ruta; Yousef Abosalem; Ling Cen (FIE, 2018)

Deterministic construction of sparse binary matrices via incremental integer optimization. - Jun Zhang 026; Zhu Liang Yu; Ling Cen; Zhenghui Gu; Zhiping Lin 001; Yuanqing Li 001 (Inf. Sci., 2018)

Gradient boosting decision trees for cyber security threats detection based on network events logs. - Quang Hieu Vu; Dymitr Ruta; Ling Cen (IEEE BigData, 2019)

Efficient Support Vector Regression with Reduced Training Data. - Ling Cen; Quang Hieu Vu; Dymitr Ruta (FedCSIS, 2019)

Greedy Incremental Support Vector Regression. - Dymitr Ruta; Ling Cen; Quang Hieu Vu (FedCSIS, 2019)

Sparse and heuristic support vector machine for binary classifier and regressor fusion. - Jinhong Huang; Zhu Liang Yu; Zhenghui Gu; Jun Zhang 026; Ling Cen (Int. J. Mach. Learn. Cybern., 2019)

Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Jun Zhang 026; Ling Cen; Srikantan S. Nagarajan; Yuanqing Li 001 (IEEE Trans. Biomed. Eng., 2019)

Deep Bi-Directional LSTM Networks for Device Workload Forecasting. - Dymitr Ruta; Ling Cen; Quang Hieu Vu (FedCSIS, 2020)

Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. - Ling Cen; Dymitr Ruta; Lamees Mahmoud Mohd Said Al Qassem; Jason W. P. Ng (IEEE Trans. Learn. Technol., 2020)

Automated feature engineering for prediction of victories in online computer games. - Dymitr Ruta; Ling Cen; Ming Liu; Quang Hieu Vu (IEEE BigData, 2021)

A combination of general and specific models to predict victories in video games. - Quang Hieu Vu; Dymitr Ruta; Ling Cen; Ming Liu (IEEE BigData, 2021)

Model Transformation for Automatic Design of GPON/FTTH Network. - Ling Cen; Kin Poon; Anis Ouali; Ming Liu (IEEM, 2021)

Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. - Dymitr Ruta; Ming Liu; Ling Cen; Quang Hieu Vu (FedCSIS, 2022)

Key Factors to Consider when Predicting the Costs of Forwarding Contracts. - Quang Hieu Vu; Ling Cen; Dymitr Ruta; Ming Liu (FedCSIS, 2022)

Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. - Dymitr Ruta; Ling Cen; Andrzej Ruta; Quang Hieu Vu (ICAISC (2), 2022)

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation. - Kailiang Zhong; Fengtong Xiao; Yan Ren; Yaorong Liang; Wenqing Yao; Xiaofeng Yang 001; Ling Cen (KDD, 2022)

Gradient boosting models for cybersecurity threat detection with aggregated time series features. - Ming Liu; Ling Cen; Dymitr Ruta (FedCSIS, 2023)

Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. - Dymitr Ruta; Ming Liu; Ling Cen (FedCSIS, 2023)

Feature Engineering for Predicting Frags in Tactical Games. - Dymitr Ruta; Ming Liu; Ling Cen; Di Wang 001 (ICME Workshops, 2023)

Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. - Dymitr Ruta; Ming Liu; Ling Cen (IEEE Big Data, 2024)

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. - Ming Liu; Ling Cen; Dymitr Ruta; Quang Hieu Vu (FedCSIS, 2024)

FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. - Quang Hieu Vu; Dymitr Ruta; Ling Cen; Ming Liu (FedCSIS (Communication Papers), 2024)