| 2025 | UAI | Group-Agent Reinforcement Learning with Heterogeneous Agents. | Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu |
| 2024 | BMVC | A Novel Divide and Merge Approach for Improved Classification of Functional Data. | Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng, Yue Chang |
| 2024 | IJCAI | Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning. | Tianyu Ren, Xiao-Jun Zeng |
| 2024 | IJCNN | Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather. | Yue Chang, Xiao-Jun Zeng, Guowei Wang, Chengdong Shi |
| 2024 | IJCNN | Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces. | Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng |
| 2023 | CIKM | Learning Visibility Attention Graph Representation for Time Series Forecasting. | Shengzhong Mao, Xiao-Jun Zeng |
| 2023 | EACL | EDU-level Extractive Summarization with Varying Summary Lengths. | Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng |
| 2023 | ICANN | Group-Agent Reinforcement Learning. | Kaiyue Wu, Xiao-Jun Zeng |
| 2022 | IJCNN | Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting. | Chengdong Shi, Xiao-Jun Zeng |
| 2022 | IJCNN | Perturbed Gradients Updating within Unit Space for Deep Learning. | Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng |
| 2021 | ICASSP | Augmenting Transferred Representations for Stock Classification. | Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis |
| 2021 | ICONIP | Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. | Chenghui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li |
| 2021 | IJCNN | Construction Cost Index Prediction: A Visibility Graph Network Method. | Shengzhong Mao, Ching-Hsun Tseng, Jiayu Shang, Yuping Wu, Xiao-Jun Zeng |
| 2020 | IJCNN | Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis. | Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng |
| 2019 | GLOBECOM | An Effective Routing with Delay Minimization for Multi-Hop Wireless Mesh Network. | Yuan Chai, Xiao-Jun Zeng |
| 2019 | VTC | Load and Energy Aware Hybrid Routing Protocol for Hybrid Wireless Mesh Networks. | Yuan Chai, Xiao-Jun Zeng |
| 2018 | CEC | Demand Based Bidding Strategies Under Interval Demand for Integrated Demand and Supply Management. | Zixu Liu, Xiao-Jun Zeng, Zhi-Le Yang |
| 2018 | HPCC | Comparing Technical and Fundamental Indicators in Stock Price Forecasting. | Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane |
| 2018 | HPCC | Stock Price Forecasting Incorporating Market State. | Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane |
| 2017 | BigData | An Integrated Software System for Supporting Real-Time Near-Infrared Spectral Big Data Analysis and Management. | Liping Zhao, Shupeng Hu, Xiao-Jun Zeng, Yuejin Wu, Yanqing Lin, Jing Liu, Shuang Fan |
| 2016 | CEC | Integrating demand response into electricity market. | Zixu Liu, Xiao-Jun Zeng, Qian Ma |
| 2016 | CEC | A bilevel optimization approach to demand response management for the smart grid. | Fan-Lin Meng, Xiao-Jun Zeng |
| 2015 | GECCO | Diversity Guided Evolutionary Mining of Hierarchical Process Models. | Thomas Molka, David Redlich, Marc Drobek, Xiao-Jun Zeng, Wasif Gilani |
| 2015 | IJCNN | Appliance level demand modeling and pricing optimization for demand response management in smart grid. | Fan-Lin Meng, Xiao-Jun Zeng |
| 2015 | ICTAI | Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis. | Dimah Hussain Alahmadi, Xiao-Jun Zeng |
| 2014 | IJCNN | An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach. | Fan-Lin Meng, Xiao-Jun Zeng |
| 2014 | SAC | Conformance checking for BPMN-based process models. | Thomas Molka, David Redlich, Marc Drobek, Artur Caetano, Xiao-Jun Zeng, Wasif Gilani |
| 2013 | SMC | A New Approach to Demand Modelling and Optimisation in Pricing Decision Support Systems. | David Fox, Xiao-Jun Zeng |
| 2013 | SMC | Learning Customer Behaviour under Real-Time Pricing in the Smart Grid. | Fan-Lin Meng, Xiao-Jun Zeng, Qian Ma |
| 2013 | SMC | Fuzzy Cluster Analysis of Financial Time Series and Their Volatility Assessment. | Adrian Stetco, Xiao-Jun Zeng, John A. Keane |
| 2013 | SMC | A Bayesian Association Rule Mining Algorithm. | David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane |
| 2012 | BPM | Dotted Chart and Control-Flow Analysis for a Loan Application Process. | Thomas Molka, Wasif Gilani, Xiao-Jun Zeng |
| 2011 | GECCO | Genetic programming with a norm-referenced fitness function. | Geng Li, Xiao-Jun Zeng |
| 2010 | IJCNN | Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model. | Siti Norbaiti Abdullah, Xiao-Jun Zeng |
| 2010 | ISDA | A three-part input-output clustering-based approach to fuzzy system identification. | Shin-Jye Lee, Xiao-Jun Zeng |
| 2008 | ISDA | A Modular Method for Estimating Null Values in Relational Database Systems. | Shin-Jye Lee, Xiao-Jun Zeng |
| 2006 | GRC | Evaluating the effect of rough set feature selection on the performance of decision trees. | David Tian, John A. Keane, Xiao-Jun Zeng |
| 2006 | GRC | A granular computing view on function approximation. | Xiao-Jun Zeng, John A. Keane |