| 2025 | FedCSIS | A Multi-Stage Framework for Chess Puzzle Difficulty Prediction. | Ling Cen, Jiahao Cen, Malin Song, Zhuliang Yu |
| 2024 | FedCSIS | 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 |
| 2024 | FedCSIS | FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. | Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu |
| 2023 | FedCSIS | Gradient boosting models for cybersecurity threat detection with aggregated time series features. | Ming Liu, Ling Cen, Dymitr Ruta |
| 2023 | FedCSIS | Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. | Dymitr Ruta, Ming Liu, Ling Cen |
| 2022 | FedCSIS | Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. | Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu |
| 2022 | FedCSIS | Key Factors to Consider when Predicting the Costs of Forwarding Contracts. | Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu |
| 2022 | ICAISC | Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. | Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu |
| 2022 | KDD | DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation. | Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen |
| 2020 | FedCSIS | Deep Bi-Directional LSTM Networks for Device Workload Forecasting. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2019 | FedCSIS | Efficient Support Vector Regression with Reduced Training Data. | Ling Cen, Quang Hieu Vu, Dymitr Ruta |
| 2019 | FedCSIS | Greedy Incremental Support Vector Regression. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2018 | FedCSIS | Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. | Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu |
| 2018 | FedCSIS | 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 |
| 2018 | FIE | Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. | Dymitr Ruta, Yousef Abosalem, Ling Cen |
| 2017 | FedCSIS | An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. | Quang Hieu Vu, Dymitr Ruta, Ling Cen |
| 2017 | ICONIP | Deep Learning Method for Sleep Stage Classification. | Ling Cen, Zhu Liang Yu, Yun Tang, Wen Shi, Tilmann Kluge, Wee Ser |
| 2017 | ISMIS | Using Recommendations for Trade Returns Prediction with Machine Learning. | Ling Cen, Dymitr Ruta, Andrzej Ruta |
| 2017 | ISMIS | Algorithmic Daily Trading Based on Experts' Recommendations. | Andrzej Ruta, Dymitr Ruta, Ling Cen |
| 2015 | FIE | Interaction driven composition of student groups for optimal groupwork learning performance. | Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng |
| 2012 | ICASSP | Template-based personalized singing voice synthesis. | Ling Cen, Minghui Dong, Paul Y. Chan |
| 2011 | ACII | Speech Emotion Recognition System Based on L1 Regularized Linear Regression and Decision Fusion. | Ling Cen, Zhu Liang Yu, Minghui Dong |
| 2010 | Interspeech | Phonetic segmentation of singing voice using MIDI and parallel speech. | Minghui Dong, Paul Y. Chan, Ling Cen, Haizhou Li, Jason Teo, Ping Jen Kua |
| 2010 | ISCAS | Linear sparse array synthesis via convex optimization. | Ling Cen, Wee Ser, Wei Cen, Zhu Liang Yu |
| 2009 | Interspeech | Unit selection based speech synthesis for poor channel condition. | Ling Cen, Minghui Dong, Paul Y. Chan, Haizhou Li |
| 2008 | ICASSP | An improved genetic algorithm for aperiodic array synthesis. | Ling Cen, Wee Ser, Zhu Liang Yu, Susanto Rahardja |
| 2008 | ICMLA | Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network. | Ling Cen, Wee Ser, Zhu Liang Yu |
| 2008 | ICPR | A Hybrid PNN-GMM classification scheme for speech emotion recognition. | Wee Ser, Ling Cen, Zhu Liang Yu |
| 2005 | ISCAS | A hybrid GA for the design of multiplication-free frequency response masking filters [FIR digital filters]. | Ling Cen, Yong Lian |