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2020 – today
- 2025
[j111]Yuanyuan Liang, Yanbing Ju, Xiao-Jun Zeng, Hao Li, Peiwu Dong, Tian Ju:
A user-generated content-based social network large-scale group decision-making approach in healthcare service: Case study of general practitioners selection in UK. Expert Syst. Appl. 261: 125542 (2025)- 2024
- [j110]Mengshu Zhang, Tianyu Ren
, Xiao-Jun Zeng, Jia Li:
Promoting cooperation through dynamic trustworthiness in spatial public goods games. Appl. Math. Comput. 479: 128903 (2024) - [j109]Yuan Chai, Xiao-Jun Zeng, Zixu Liu:
The future of wireless mesh network in next-generation communication: a perspective overview. Evol. Syst. 15(4): 1635-1648 (2024) - [j108]Tianyu Ren, Xiao-Jun Zeng:
Reputation-Based Interaction Promotes Cooperation With Reinforcement Learning. IEEE Trans. Evol. Comput. 28(4): 1177-1188 (2024) - [j107]Zhixiong Zhong, Hak-Keung Lam, Michael V. Basin, Xiao-Jun Zeng:
Fuzzy Neural Network-Based Adaptive Sliding-Mode Descriptor Observer. IEEE Trans. Fuzzy Syst. 32(6): 3342-3354 (2024) - [j106]Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Bin Pu, Xiao-Jun Zeng:
Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention. IEEE J. Biomed. Health Informatics 28(9): 5383-5395 (2024) - [c70]Tianyu Ren, Xiao-Jun Zeng:
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning. IJCAI 2024: 193-201 - [c69]Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng:
Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces. IJCNN 2024: 1-7 - [i20]Chengdong Shi, Ching-Hsun Tseng, Wei Zhao, Xiao-Jun Zeng:
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm. CoRR abs/2401.14989 (2024) - [i19]Tianyu Ren, Xiao-Jun Zeng:
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning. CoRR abs/2405.02654 (2024) - [i18]Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen:
Time Series Analysis for Education: Methods, Applications, and Future Directions. CoRR abs/2408.13960 (2024) - [i17]Yuping Wu, Hao Li, Hongbo Zhu, Goran Nenadic, Xiao-Jun Zeng:
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework. CoRR abs/2409.11827 (2024) - 2023
- [j105]Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng, Abdullah Al-Barakati:
Simplified probabilistic linguistic preference relation in decision making. Eng. Appl. Artif. Intell. 126(Part D): 107140 (2023) - [j104]Shengzhong Mao, Xiao-Jun Zeng:
SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting. Expert Syst. Appl. 230: 120647 (2023) - [j103]Yuanyuan Liang, Yanbing Ju, Peiwu Dong, Xiao-Jun Zeng, Luis Martínez, Jinhua Dong, Aihua Wang:
A sentiment analysis-based two-stage consensus model of large-scale group with core-periphery structure. Inf. Sci. 622: 808-841 (2023) - [j102]Yuan Chai, Xiao-Jun Zeng:
Shapley Value-Based Computation Offloading for Edge Computing. IEEE Trans. Veh. Technol. 72(7): 9448-9458 (2023) - [c68]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. BioNLP@ACL 2023: 503-509 - [c67]Shengzhong Mao, Xiao-Jun Zeng:
Learning Visibility Attention Graph Representation for Time Series Forecasting. CIKM 2023: 4180-4184 - [c66]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) 2023: 1668-1679 - [c65]Yuping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng:
EDU-level Extractive Summarization with Varying Summary Lengths. EACL (Findings) 2023: 1610-1622 - [c64]Kaiyue Wu, Xiao-Jun Zeng:
Group-Agent Reinforcement Learning. ICANN (6) 2023: 37-48 - [c63]Yi-Yu Lin, Xiao-Jun Zeng:
Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems. UKCI 2023: 79-94 - [c62]Alaa Aljamea, Xiao-Jun Zeng:
Predicting the Popularity of YouTube Videos: A Data-Driven Approach. UKCI 2023: 625-639 - [i16]Qianshan Zhan, Xiao-Jun Zeng:
To transfer or not transfer: Unified transferability metric and analysis. CoRR abs/2305.07741 (2023) - [i15]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR abs/2306.02754 (2023) - [i14]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR abs/2307.02006 (2023) - [i13]Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Wei-Huan Hu, Bin Pu, Xiao-Jun Zeng:
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels. CoRR abs/2308.07717 (2023) - 2022
- [j101]Chen Jin, Zeshui Xu, Xiao-Jun Zeng:
Uncertain linguistic terms with weakened hedges for multi-granular linguistic decision making with its application to evaluating communication technologies. Appl. Intell. 52(14): 16758-16774 (2022) - [j100]Yuanyuan Liang, Yanbing Ju, Peiwu Dong, Luis Martínez, Xiao-Jun Zeng, Ernesto Del R. Santibanez-Gonzalez, Mihalis Giannakis, Jinhua Dong, Aihua Wang:
Sustainable evaluation of energy storage technologies for wind power generation: A multistage decision support framework under multi-granular unbalanced hesitant fuzzy linguistic environment. Appl. Soft Comput. 131: 109768 (2022) - [j99]Peijia Ren, Xinxin Wang, Zeshui Xu, Xiao-Jun Zeng:
Hesitant fuzzy linguistic iterative method for consistency and consensus-driven group decision making. Comput. Ind. Eng. 173: 108673 (2022) - [j98]Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Neworks. Entropy 24(9): 1243 (2022) - [j97]Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng:
Transitivity and approximate consistency threshold determination for reciprocal preference relations in group decision making. J. Oper. Res. Soc. 73(7): 1649-1666 (2022) - [j96]Yixin Zhang, Zhinan Hao, Zeshui Xu, Xiao-Jun Zeng, Xinxin Xu:
A process-oriented probabilistic linguistic decision-making model with unknown attribute weights. Knowl. Based Syst. 235: 107594 (2022) - [j95]Peijia Ren, Zhinan Hao, Xinxin Wang, Xiao-Jun Zeng, Zeshui Xu:
Decision-Making Models Based on Incomplete Hesitant Fuzzy Linguistic Preference Relation With Application to Site Selection of Hydropower Stations. IEEE Trans. Engineering Management 69(4): 904-915 (2022) - [j94]Wei Li, Junfei Qiao, Xiao-Jun Zeng:
Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 30(3): 649-662 (2022) - [j93]Dong-Jiao Ge, Xiao-Jun Zeng:
Functional Fuzzy System: A Nonlinear Regression Model and Its Learning Algorithm for Function-on-Function Regression. IEEE Trans. Fuzzy Syst. 30(4): 956-967 (2022) - [j92]Qian Jiang, Shin-Jye Lee, Xiao-Jun Zeng, Xin Jin, Jingyu Hou, Wei Zhou, Shaowen Yao:
A Multifocus Image Fusion Scheme Based on Similarity Measure of Transformed Isosceles Triangles Between Intuitionistic Fuzzy Sets. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [c61]Chengdong Shi, Xiao-Jun Zeng:
Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting. IJCNN 2022: 1-8 - [c60]Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Perturbed Gradients Updating within Unit Space for Deep Learning. IJCNN 2022: 1-8 - [c59]Mona Alkhozae, Xiao-Jun Zeng:
Nonlinear Model Combination Approach to Decentralised and Privacy-Preserving Classification. UKCI 2022: 142-157 - [i12]Kaiyue Wu, Xiao-Jun Zeng:
DDA3C: Cooperative Distributed Deep Reinforcement Learning in A Group-Agent System. CoRR abs/2202.05135 (2022) - [i11]Chenghui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li:
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. CoRR abs/2207.07303 (2022) - [i10]Yuping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng:
EDU-level Extractive Summarization with Varying Summary Lengths. CoRR abs/2210.04029 (2022) - 2021
- [j91]Wenting Xue, Zeshui Xu, Xiao-Jun Zeng:
Solving matrix games based on Ambika method with hesitant fuzzy information and its application in the counter-terrorism issue. Appl. Intell. 51(3): 1227-1243 (2021) - [j90]Yuan Chai, Xiao-Jun Zeng:
A multi-objective Dyna-Q based routing in wireless mesh network. Appl. Soft Comput. 108: 107486 (2021) - [j89]Hengxia Gao, Yanbing Ju, Ernesto Del R. Santibanez-Gonzalez, Xiao-Jun Zeng, Peiwu Dong, Aihua Wang:
Identifying critical causal criteria of green supplier evaluation using heterogeneous judgements: An integrated approach based on cloud model and DEMATEL. Appl. Soft Comput. 113(Part): 107882 (2021) - [j88]Hengxia Gao, Yanbing Ju, Xiao-Jun Zeng, Wenkai Zhang:
Satisfaction-driven consensus model for social network MCGDM with incomplete information under probabilistic linguistic trust. Comput. Ind. Eng. 154: 107099 (2021) - [j87]Maria Valentina Niño de Zepeda, Fanlin Meng, Jinya Su, Xiao-Jun Zeng, Qian Wang:
Dynamic clustering analysis for driving styles identification. Eng. Appl. Artif. Intell. 97: 104096 (2021) - [j86]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. Expert Syst. Appl. 163: 113720 (2021) - [j85]Peijia Ren, Zeshui Xu, Xinxin Wang, Xiao-Jun Zeng:
Group decision making with hesitant fuzzy linguistic preference relations based on modified extent measurement. Expert Syst. Appl. 171: 114235 (2021) - [j84]Asim Suleman A. Alwabel, Xiao-Jun Zeng:
Data-driven modeling of technology acceptance: A machine learning perspective. Expert Syst. Appl. 185: 115584 (2021) - [j83]Nana Liu, Zeshui Xu, Yue He, Xiao-Jun Zeng:
An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection. Fuzzy Optim. Decis. Mak. 20(3): 397-428 (2021) - [j82]Nana Liu, Zeshui Xu, Xiao-Jun Zeng, Peijia Ren:
An agglomerative hierarchical clustering algorithm for linear ordinal rankings. Inf. Sci. 557: 170-193 (2021) - [j81]Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng, Zeshui Xu:
The two-person and zero-sum matrix game with probabilistic linguistic information. Inf. Sci. 570: 487-499 (2021) - [c58]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Augmenting Transferred Representations for Stock Classification. ICASSP 2021: 3915-3919 - [c57]Chenghui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li:
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. ICONIP (4) 2021: 550-561 - [c56]Shengzhong Mao, Ching-Hsun Tseng, Jia-Yu Shang, Yuping Wu, Xiao-Jun Zeng:
Construction Cost Index Prediction: A Visibility Graph Network Method. IJCNN 2021: 1-6 - [c55]Mona Alkhozae, Xiao-Jun Zeng:
Decentralised and Privacy Preserving Machine Learning for Multiple Distributed Data Resources. UKCI 2021: 235-250 - [i9]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR abs/2102.08310 (2021) - [i8]Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Networks. CoRR abs/2103.08640 (2021) - [i7]Fanlin Meng, Qian Ma, Zixu Liu, Xiao-Jun Zeng:
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids. CoRR abs/2106.05905 (2021) - [i6]Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Update in Unit Gradient. CoRR abs/2110.00199 (2021) - 2020
- [j80]Shen Zhang, Zeshui Xu, Xiao-Jun Zeng, Xin Yan:
Integrations of Continuous Hesitant Fuzzy Information in Group Decision Making With a Case Study of Water Resources Emergency Management. IEEE Access 8: 146134-146144 (2020) - [j79]Yilu Chen, Xiao-Jun Zeng, Xing Chen, Wenzhong Guo:
A survey on automatic image annotation. Appl. Intell. 50(10): 3412-3428 (2020) - [j78]Sergio García-Vega, Xiao-Jun Zeng, John A. Keane:
Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach. Expert Syst. Appl. 160: 113668 (2020) - [j77]Wei Li, Junfei Qiao, Xiao-Jun Zeng, Shengli Du:
Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. Fuzzy Sets Syst. 394: 65-86 (2020) - [j76]Meimei Xia, Jian Chen, Xiao-Jun Zeng:
Group decision making using bilateral agreement matrix. Fuzzy Sets Syst. 398: 34-60 (2020) - [j75]Yuan Chai, Xiao-Jun Zeng:
Load Balancing Routing for Wireless Mesh Network With Energy Harvesting. IEEE Commun. Lett. 24(4): 926-930 (2020) - [j74]Dong-Jiao Ge, Xiao-Jun Zeng:
Learning data streams online - An evolving fuzzy system approach with self-learning/adaptive thresholds. Inf. Sci. 507: 172-184 (2020) - [j73]Huchang Liao, Xunjie Gou, Zeshui Xu, Xiao-Jun Zeng, Francisco Herrera:
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making. Inf. Sci. 508: 275-292 (2020) - [j72]Meimei Xia, Jian Chen, Xiao-Jun Zeng:
Data envelopment analysis based on team reasoning. Int. Trans. Oper. Res. 27(2): 1080-1100 (2020) - [j71]Alistair G. Sutcliffe, Pete Sawyer, Gemma Stringer, Samuel Couth, Laura J. E. Brown, Ann Gledson, Christopher Bull, Paul Rayson, John A. Keane, Xiao-Jun Zeng, Iracema Leroi:
Known and unknown requirements in healthcare. Requir. Eng. 25(1): 1-20 (2020) - [j70]Yuan Chai, Xiao-Jun Zeng:
Delay- and Interference-Aware Routing for Wireless Mesh Network. IEEE Syst. J. 14(3): 4119-4130 (2020) - [j69]Jing Sun, Zhuang Miao, Dunwei Gong, Xiao-Jun Zeng, Junqing Li, Gaige Wang:
Interval Multiobjective Optimization With Memetic Algorithms. IEEE Trans. Cybern. 50(8): 3444-3457 (2020) - [c54]Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng:
Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis. IJCNN 2020: 1-7 - [i5]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Evaluating data augmentation for financial time series classification. CoRR abs/2010.15111 (2020)
2010 – 2019
- 2019
- [j68]Hai Wang, Chao Xu, Zeshui Xu, Xiao-Jun Zeng, Witold Pedrycz:
An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions. IEEE Access 7: 12529-12546 (2019) - [j67]Yuan Chai, Xiao-Jun Zeng:
Regional condition-aware hybrid routing protocol for hybrid wireless mesh network. Comput. Networks 148: 120-128 (2019) - [j66]Sergio García-Vega, Xiao-Jun Zeng, John A. Keane:
Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size. Neurocomputing 339: 105-115 (2019) - [j65]Sibo Ding, Xiao-Jun Zeng, H.-Y. Zhang:
Uncertain random simulation algorithm with application to bottleneck assignment problem. Soft Comput. 23(21): 10977-10982 (2019) - [j64]Hai Wang, Zeshui Xu, Xiao-Jun Zeng, Huchang Liao:
Consistency Measures of Linguistic Preference Relations With Hedges. IEEE Trans. Fuzzy Syst. 27(2): 372-386 (2019) - [j63]Dong-Jiao Ge, Xiao-Jun Zeng:
A Self-Evolving Fuzzy System Which Learns Dynamic Threshold Parameter by Itself. IEEE Trans. Fuzzy Syst. 27(8): 1625-1637 (2019) - [c53]Yuan Chai, Xiao-Jun Zeng:
An Effective Routing with Delay Minimization for Multi-Hop Wireless Mesh Network. GLOBECOM 2019: 1-6 - [c52]Nouf Alghanmi, Xiao-Jun Zeng:
A Hybrid Regression Model for Mixed Numerical and Categorical Data. UKCI 2019: 369-376 - [c51]Yuan Chai, Xiao-Jun Zeng:
Load and Energy Aware Hybrid Routing Protocol for Hybrid Wireless Mesh Networks. VTC Fall 2019: 1-5 - [c50]Yuan Chai, Xiao-Jun Zeng:
Load- and Interference-Balance Hybrid Routing Protocol for Hybrid Wireless Mesh Network. Wireless Days 2019: 1-4 - [i4]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. CoRR abs/1902.10849 (2019) - 2018
- [j62]Dong-Jiao Ge, Xiao-Jun Zeng:
Learning evolving T-S fuzzy systems with both local and global accuracy - A local online optimization approach. Appl. Soft Comput. 68: 795-810 (2018) - [j61]Meimei Xia, Jian Chen, Xiao-Jun Zeng:
Decision Analysis on Choquet Integral-Based Multi-Criteria Decision-Making with Imprecise Information. Int. J. Inf. Technol. Decis. Mak. 17(2): 677-704 (2018) - [j60]Hai Wang, Zeshui Xu, Xiao-Jun Zeng:
Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges. Inf. Fusion 43: 1-12 (2018) - [j59]Hai Wang, Zeshui Xu, Xiao-Jun Zeng:
Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty. Inf. Sci. 433-434: 37-54 (2018) - [j58]Jing Sun, Dunwei Gong, Xiao-Jun Zeng, Na Geng:
An ensemble framework for assessing solutions of interval programming problems. Inf. Sci. 436-437: 146-161 (2018) - [j57]Fanlin Meng, Xiao-Jun Zeng, Yan Zhang, Chris J. Dent, Dunwei Gong:
An integrated optimization + learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids. Inf. Sci. 448-449: 215-232 (2018) - [j56]Hai Wang, Zeshui Xu, Xiao-Jun Zeng:
Modeling complex linguistic expressions in qualitative decision making: An overview. Knowl. Based Syst. 144: 174-187 (2018) - [c49]Zixu Liu, Xiao-Jun Zeng, Zhi-Le Yang:
Demand Based Bidding Strategies Under Interval Demand for Integrated Demand and Supply Management. CEC 2018: 1-8 - [c48]Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane:
Comparing Technical and Fundamental Indicators in Stock Price Forecasting. HPCC/SmartCity/DSS 2018: 1607-1613 - [c47]Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane:
Stock Price Forecasting Incorporating Market State. HPCC/SmartCity/DSS 2018: 1614-1619 - 2017
- [j55]Xin Fu, Xiao-Jun Zeng, Xin (Robert) Luo, Di Wang, Di Xu, Qing-Liang Fan:
Designing an intelligent decision support system for effective negotiation pricing: A systematic and learning approach. Decis. Support Syst. 96: 49-66 (2017) - [j54]Huchang Liao, Zhimin Li, Xiao-Jun Zeng, Weishu Liu:
A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations. Int. J. Comput. Intell. Syst. 10(1): 456-469 (2017) - [j53]Peijia Ren, Zeshui Xu, Huchang Liao, Xiao-Jun Zeng:
A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China. Inf. Sci. 420: 490-504 (2017) - [c46]Liping Zhao, Shupeng Hu, Xiao-Jun Zeng, Yuejin Wu, Yanqing Lin, Jing Liu, Shuang Fan:
An Integrated Software System for Supporting Real-Time Near-Infrared Spectral Big Data Analysis and Management. BigData Congress 2017: 97-104 - [c45]Xiao-Jun Zeng, Dong-Jiao Ge:
Learning evolving Mamdani fuzzy systems based on parameter optimization. FUZZ-IEEE 2017: 1-6 - [c44]Fanlin Meng, Behzad Kazemtabrizi, Xiao-Jun Zeng, Chris J. Dent:
An optimal differential pricing in smart grid based on customer segmentation. ISGT Europe 2017: 1-6 - 2016
- [j52]Junfei Qiao, Wei Li, Xiao-Jun Zeng, Honggui Han:
Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. Appl. Soft Comput. 49: 524-543 (2016) - [j51]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng, Dong-Ling Xu:
An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations. Inf. Sci. 329: 274-286 (2016) - [j50]Fan-Lin Meng, Xiao-Jun Zeng:
A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid. IEEE Trans. Smart Grid 7(3): 1516-1529 (2016) - [c43]Fan-Lin Meng, Xiao-Jun Zeng:
A bilevel optimization approach to demand response management for the smart grid. CEC 2016: 287-294 - [c42]Zixu Liu, Xiao-Jun Zeng, Qian Ma:
Integrating demand response into electricity market. CEC 2016: 2021-2027 - [c41]Ann Gledson, Dommy Asfiandy, Joseph Charles Mellor, Thamer Omer Faraj Ba-Dhfari, Gemma Stringer, Samuel Couth, Alistair Burns, Iracema Leroi, Xiao-Jun Zeng, John A. Keane, Christopher Bull, Paul Rayson, Alistair G. Sutcliffe, Peter Sawyer:
Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment. ICHI 2016: 139-145 - [c40]Zixu Liu, Xiao-Jun Zeng:
Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market. UKCI 2016: 19-34 - [c39]Dong-Jiao Ge, Xiao-Jun Zeng:
Modified Evolving Participatory Learning Algorithms for Takagi-Sugeno Fuzzy System Modelling from Streaming Data. UKCI 2016: 145-163 - [i3]Fanlin Meng, Xiao-Jun Zeng, Yan Zhang, Chris J. Dent, Dun-Wei Gong:
An Integrated Optimization+ Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids. CoRR abs/1612.05971 (2016) - 2015
- [j49]Adrian Stetco, Xiao-Jun Zeng, John A. Keane:
Fuzzy C-means++: Fuzzy C-means with effective seeding initialization. Expert Syst. Appl. 42(21): 7541-7548 (2015) - [j48]Dimah Hussain Alahmadi, Xiao-Jun Zeng:
ISTS: Implicit social trust and sentiment based approach to recommender systems. Expert Syst. Appl. 42(22): 8840-8849 (2015) - [j47]Xin Fu, Xiao-Jun Zeng, Di Wang, Di Xu, Longzhi Yang:
Fuzzy system approaches to negotiation pricing decision support. J. Intell. Fuzzy Syst. 29(2): 685-699 (2015) - [j46]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng, José M. Merigó:
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst. 76: 127-138 (2015) - [j45]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng:
Novel correlation coefficients between hesitant fuzzy sets and their application in decision making. Knowl. Based Syst. 82: 115-127 (2015) - [j44]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng, José M. Merigó:
Framework of Group Decision Making With Intuitionistic Fuzzy Preference Information. IEEE Trans. Fuzzy Syst. 23(4): 1211-1227 (2015) - [j43]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng:
Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making. IEEE Trans. Fuzzy Syst. 23(5): 1343-1355 (2015) - [c38]Thomas Molka, David Redlich, Wasif Gilani, Xiao-Jun Zeng, Marc Drobek:
Evolutionary Computation Based Discovery of Hierarchical Business Process Models. BIS 2015: 191-204 - [c37]Wei Li, Junfei Qiao, Xiao-Jun Zeng:
Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification. FSKD 2015: 402-409 - [c36]Thomas Molka, David Redlich, Marc Drobek, Xiao-Jun Zeng, Wasif Gilani:
Diversity Guided Evolutionary Mining of Hierarchical Process Models. GECCO 2015: 1247-1254 - [c35]Dimah Hussain Alahmadi, Xiao-Jun Zeng:
Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis. ICTAI 2015: 1045-1052 - [c34]Fan-Lin Meng, Xiao-Jun Zeng:
Appliance level demand modeling and pricing optimization for demand response management in smart grid. IJCNN 2015: 1-8 - [c33]Qian Ma, Xiao-Jun Zeng:
Demand modelling in electricity market with day-ahead dynamic pricing. SmartGridComm 2015: 97-102 - [i2]Fan-Lin Meng, Xiao-Jun Zeng:
A Hybrid Optimization Approach to Demand Response Management for the Smart Grid. CoRR abs/1510.08271 (2015) - 2014
- [j42]Huchang Liao, Zeshui Xu, Xiao-Jun Zeng:
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf. Sci. 271: 125-142 (2014) - [c32]Qiang Yang, Bing Huang, Xiao-Jun Zeng, Jianfeng Liu:
A Group Member Search Method Based on Dispersion Analysis. CBD 2014: 296-300 - [c31]Xiao-Jun Zeng:
A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models. FUZZ-IEEE 2014: 2103-2110 - [c30]Fan-Lin Meng, Xiao-Jun Zeng:
An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach. IJCNN 2014: 1703-1710 - [c29]Thomas Molka, David Redlich, Marc Drobek, Artur Caetano, Xiao-Jun Zeng, Wasif Gilani:
Conformance checking for BPMN-based process models. SAC 2014: 1406-1413 - 2013
- [j41]Maozhen Li, Xiao-Jun Zeng, Frank Hung-Fat Leung, Shigang Yue, Lipo Wang:
ICNC-FSKD 2012 Special Issue on "Computers & Mathematics in Natural Computation and Data Mining". Comput. Math. Appl. 66(10): 1727-1728 (2013) - [j40]Di Wang, Xiao-Jun Zeng, John A. Keane:
A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems. Inf. Sci. 220: 110-123 (2013) - [j39]Fan-Lin Meng, Xiao-Jun Zeng:
A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid. Soft Comput. 17(12): 2365-2380 (2013) - [c28]Fan-Lin Meng, Xiao-Jun Zeng:
An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach. ICCSW 2013: 81-88 - [c27]David Fox, Xiao-Jun Zeng:
A New Approach to Demand Modelling and Optimisation in Pricing Decision Support Systems. SMC 2013: 74-79 - [c26]Adrian Stetco, Xiao-Jun Zeng, John A. Keane:
Fuzzy Cluster Analysis of Financial Time Series and Their Volatility Assessment. SMC 2013: 91-96 - [c25]Fan-Lin Meng, Xiao-Jun Zeng, Qian Ma:
Learning Customer Behaviour under Real-Time Pricing in the Smart Grid. SMC 2013: 3186-3191 - [c24]David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane:
A Bayesian Association Rule Mining Algorithm. SMC 2013: 3258-3264 - 2012
- [j38]Xiao-Jun Zeng:
Guest editorial: Evolving learning and adaptive modelling approaches to prediction, forecasting and control - preface to the special issue. Evol. Syst. 3(1): 1-3 (2012) - [j37]Gang Leng, Xiao-Jun Zeng, John A. Keane:
An improved approach of self-organising fuzzy neural network based on similarity measures. Evol. Syst. 3(1): 19-30 (2012) - [j36]Di Wang, Xiao-Jun Zeng, John A. Keane:
A clustering algorithm for radial basis function neural network initialization. Neurocomputing 77(1): 144-155 (2012) - [j35]Qing Gao, Xiao-Jun Zeng, Gang Feng, Yong Wang, Jianbin Qiu:
T-S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1143-1154 (2012) - [c23]Thomas Molka, Wasif Gilani, Xiao-Jun Zeng:
Dotted Chart and Control-Flow Analysis for a Loan Application Process. Business Process Management Workshops 2012: 223-224 - [c22]Qing Gao, Xiao-Jun Zeng, Gang Feng, Yong Wang:
Universal fuzzy models and universal fuzzy controllers based on generalized T-S fuzzy models. FUZZ-IEEE 2012: 1-6 - [c21]Shin-Jye Lee, Xiao-Jun Zeng:
A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme. FUZZ-IEEE 2012: 1-8 - [c20]Di Wang, Xiao-Jun Zeng, John A. Keane:
A structure learning method for concise fuzzy systems. FUZZ-IEEE 2012: 1-8 - [c19]Fan-Lin Meng, Xiao-Jun Zeng:
A Stackelberg Game Approach to maximise electricity retailer's profit and minimse customers' bills for future smart grid. UKCI 2012: 1-7 - 2011
- [j34]David Tian, Xiao-Jun Zeng, John A. Keane:
Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification. Int. J. Approx. Reason. 52(6): 863-880 (2011) - [j33]Johan Bollen, Huina Mao, Xiao-Jun Zeng:
Twitter mood predicts the stock market. J. Comput. Sci. 2(1): 1-8 (2011) - [j32]Di Wang, Alistair G. Sutcliffe, Xiao-Jun Zeng:
A trust-based multi-ego social network model to investigate emotion diffusion. Soc. Netw. Anal. Min. 1(4): 287-299 (2011) - [j31]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems. IEEE Trans. Fuzzy Syst. 19(6): 1127-1140 (2011) - [j30]David Tian, Xiao-Jun Zeng, John A. Keane:
Core-Generating Discretization for Rough Set Feature Selection. Trans. Rough Sets 13: 135-158 (2011) - [c18]Di Wang, Xiao-Jun Zeng, John A. Keane:
A Simplified Structure Evolving Method for Fuzzy System structure learning. EAIS 2011: 46-53 - [c17]Qing Gao, Gang Feng, Xiao-Jun Zeng, Yong Wang:
T-S fuzzy systems approach to approximation and robust controller design for general nonlinear systems. FUZZ-IEEE 2011: 1299-1304 - [c16]Geng Li, Xiao-Jun Zeng:
Genetic programming with a norm-referenced fitness function. GECCO 2011: 1323-1330 - 2010
- [j29]Frederico Cuesta, Francisco Salas, Carlos Vivas, Xiao-Jun Zeng:
Discussion on: ''Exponential Stability Based Design of Constrained Fuzzy Predictive Control''. Eur. J. Control 16(1): 49-50 (2010) - [j28]Di Wang, Xiao-Jun Zeng, John A. Keane:
A structure evolving learning method for fuzzy systems. Evol. Syst. 1(2): 83-95 (2010) - [j27]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Evolving-Construction Scheme for Fuzzy Systems. IEEE Trans. Fuzzy Syst. 18(4): 755-770 (2010) - [c15]Siti Norbaiti Abdullah, Xiao-Jun Zeng:
Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model. IJCNN 2010: 1-8 - [c14]Shin-Jye Lee, Xiao-Jun Zeng:
A three-part input-output clustering-based approach to fuzzy system identification. ISDA 2010: 55-60 - [c13]Geng Li, Xiao-Jun Zeng:
Bottom-Up Tree Evaluation in Tree-Based Genetic Programming. ICSI (1) 2010: 513-522 - [i1]Johan Bollen, Huina Mao, Xiao-Jun Zeng:
Twitter mood predicts the stock market. CoRR abs/1010.3003 (2010)
2000 – 2009
- 2009
- [j26]Gang Leng, Xiao-Jun Zeng, John A. Keane:
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems. Appl. Soft Comput. 9(4): 1354-1366 (2009) - [j25]Tiejun Zhang, Gang Feng, Xiao-Jun Zeng:
Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control. Autom. 45(4): 900-909 (2009) - [j24]Shin-Jye Lee, Xiao-Jun Zeng, Hui-Shin Wang:
Generating Automatic Fuzzy System from Relational Database System for Estimating Null Values. Cybern. Syst. 40(6): 528-548 (2009) - [j23]Syed Shabbir Haider, Xiao-Jun Zeng:
Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications. Neurocomputing 72(4-6): 1078-1083 (2009) - [j22]Panos Liatsis, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
A flexible visual inspection system based on neural networks. Int. J. Syst. Sci. 40(2): 173-186 (2009) - [j21]Shaoyan Zhang, Christos Tjortjis, Xiao-Jun Zeng, Hong Qiao, Iain E. Buchan, John A. Keane:
Comparing data mining methods with logistic regression in childhood obesity prediction. Inf. Syst. Frontiers 11(4): 449-460 (2009) - [j20]Di Wang, Xiao-Jun Zeng, John A. Keane:
Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System. IEEE Trans. Fuzzy Syst. 17(2): 468-476 (2009) - [c12]Sharareh R. Niakan Kalhori, Xiao-Jun Zeng:
Predicting the Outcome of Tuberculosis Treatment Course in Frame of Dots - From Demographic Data to Logistic Regression Model. HEALTHINF 2009: 129-134 - 2008
- [j19]Panos Liatsis, M. A. Nazarboland, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
Automating the processing of cDNA microarray images. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 115-144 (2008) - [j18]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation. Neurocomputing 72(1-3): 257-261 (2008) - [j17]Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Trans. Fuzzy Syst. 16(5): 1197-1215 (2008) - [j16]John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Trans. Neural Networks 19(9): 1574-1582 (2008) - [c11]Di Wang, Xiao-Jun Zeng, John A. Keane:
An incremental construction learning algorithm for identification of T-S Fuzzy Systems. FUZZ-IEEE 2008: 1660-1666 - [c10]Shin-Jye Lee, Xiao-Jun Zeng:
A Modular Method for Estimating Null Values in Relational Database Systems. ISDA (2) 2008: 415-419 - 2007
- [j15]Di Wang, Xiao-Jun Zeng, John A. Keane:
Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables. Neurocomputing 70(16-18): 3019-3033 (2007) - [j14]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. IEEE Trans. Neural Networks 18(6): 1683-1696 (2007) - [j13]John Yannis Goulermas, Xiao-Jun Zeng, Panos Liatsis, Jason F. Ralph:
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1434-1445 (2007) - [c9]Huina Mao, Xiao-Jun Zeng, Gang Leng, Yongjie Zhai, John A. Keane:
Short-Term Load Forecasting Based On Self-Organizing Fuzzy Neural Networks. FUZZ-IEEE 2007: 1-6 - [c8]David Tian, John A. Keane, Xiao-Jun Zeng:
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation. FUZZ-IEEE 2007: 1-6 - [c7]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Input-Output Clustering Method for Fuzzy System Identification. FUZZ-IEEE 2007: 1-6 - 2006
- [j12]Xiao-Jun Zeng, John A. Keane:
Approximation capabilities of hierarchical hybrid systems. IEEE Trans. Syst. Man Cybern. Part A 36(5): 1029-1039 (2006) - [c6]Di Wang, Xiao-Jun Zeng, John A. Keane:
Learning for Hierarchical Fuzzy Systems Based on the Gradient-Descent Method. FUZZ-IEEE 2006: 92-99 - [c5]Xiao-Jun Zeng, John A. Keane, Di Wang:
Fuzzy Systems Approach to Approximation and Stabilization of Conventional Affine Nonlinear Systems. FUZZ-IEEE 2006: 277-284 - [c4]David Tian, John A. Keane, Xiao-Jun Zeng:
Evaluating the effect of rough set feature selection on the performance of decision trees. GrC 2006: 57-62 - [c3]Xiao-Jun Zeng, John A. Keane:
A granular computing view on function approximation. GrC 2006: 232-237 - 2005
- [j11]Xiao-Jun Zeng, John A. Keane:
Approximation Capabilities of Hierarchical Fuzzy Systems. IEEE Trans. Fuzzy Syst. 13(5): 659-672 (2005) - [c2]Xiao-Jun Zeng, John A. Keane:
Separable Approximation Property of Hierarchical Fuzzy Systems. FUZZ-IEEE 2005: 951-956 - 2004
- [c1]Xiao-Jun Zeng, John A. Keane:
Approximation capability analysis of hierarchical Takagi-Sugeno fuzzy systems. FUZZ-IEEE 2004: 1227-1232 - 2003
- [j10]Xiao-Jun Zeng, Madan G. Singh:
Knowledge bounded least squares method for the identification of fuzzy systems. IEEE Trans. Syst. Man Cybern. Part C 33(1): 24-32 (2003) - 2002
- [j9]Xiao-Jun Zeng, Zhi-Liang Hong:
Design and implementation of a turbo decoder for 3G W-CDMA systems. IEEE Trans. Consumer Electron. 48(2): 284-291 (2002)
1990 – 1999
- 1997
- [j8]Xiao-Jun Zeng, Madan G. Singh:
Fuzzy bounded least-squares method for the identification of linear systems. IEEE Trans. Syst. Man Cybern. Part A 27(5): 624-635 (1997) - 1996
- [j7]Xiao-Jun Zeng, Madan G. Singh:
Approximation accuracy analysis of fuzzy systems as function approximators. IEEE Trans. Fuzzy Syst. 4(1): 44-63 (1996) - [j6]F. Watkins, Xiao-Jun Zeng, Madan G. Singh:
Comments on Singh and Zeng: "Approximation theory of fuzzy systems-SISO case" [and reply]. IEEE Trans. Fuzzy Syst. 4(1): 80-81 (1996) - [j5]Xiao-Jun Zeng, Madan G. Singh:
Decomposition property of fuzzy systems and its applications. IEEE Trans. Fuzzy Syst. 4(2): 149-165 (1996) - [j4]Xiao-Jun Zeng, Madan G. Singh:
A relationship between membership functions and approximation accuracy in fuzzy systems. IEEE Trans. Syst. Man Cybern. Part B 26(1): 176-180 (1996) - [j3]Xiao-Jun Zeng, Madan G. Singh:
Approximation properties of fuzzy systems generated by the min inference. IEEE Trans. Syst. Man Cybern. Part B 26(1): 187-193 (1996) - 1995
- [j2]Xiao-Jun Zeng, Madan G. Singh:
Approximation theory of fuzzy systems-MIMO case. IEEE Trans. Fuzzy Syst. 3(2): 219-235 (1995) - 1994
- [j1]Xiao-Jun Zeng, Madan G. Singh:
Approximation theory of fuzzy systems-SISO case. IEEE Trans. Fuzzy Syst. 2(2): 162-176 (1994)
Coauthor Index
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