Evaluation of the QoS of crash-recovery failure detection. - Tiejun Ma; Jane Hillston; Stuart Anderson (SAC, 2007)

Quality of service of crash-recovery failure detectors. - Tiejun Ma (2007)

Adding Standards Based Job Submission to a Commodity Grid Broker. - Dave Colling; Andrew Stephen McGough; Jazz Mack Smith; Vesso Novov; Tiejun Ma; David Wallom; Xin Xiong (eScience, 2008)

Shibboleth Access for Resources on the National Grid Service (SARoNGS). - Xiao Dong Wang; Mike Jones 002; Jens Jensen; Andrew Richards; David Wallom; Tiejun Ma; Robert Frank 003; David Spence; Steven Young; Claire Devereux; Neil Geddes (IAS, 2009)

An Image Processing Portal and Web-Service for the Study of Ancient Documents. - Ségolène M. Tarte; David Wallom; Pin Hu; Kang Tang; Tiejun Ma (eScience, 2009)

A Framework for Sharing Heterogeneous Grid Resources in a Campus Environment. - Tiejun Ma; Xin Xiong; David Wallom (CIT, 2010)

Characterising a grid site's traffic. - Tiejun Ma; Yehia El-khatib; Michael Mackay 001; Christopher Edwards (HPDC, 2010)

Towards automated verification of autonomous networks: A case study in self-configuration. - JaeSeung Song; Tiejun Ma; Peter R. Pietzuch (PerCom Workshops, 2010)

On the Quality of Service of Crash-Recovery Failure Detectors. - Tiejun Ma; Jane Hillston; Stuart Anderson (IEEE Trans. Dependable Secur. Comput., 2010)

Rule-Based Verification of Network Protocol Implementations Using Symbolic Execution. - JaeSeung Song; Tiejun Ma; Cristian Cadar; Peter R. Pietzuch (ICCCN, 2011)

Femtocell Coverage Optimisation Using Statistical Verification. - Tiejun Ma; Peter R. Pietzuch (Networking (1), 2011)

Simulation and Design of a Constant-Current-Controlled Spot Welding inverter with the Fuzzy Neural Network. - Yong Zhang; Hua Bai; Yongqing Cai; Tiejun Ma; Hongxia Xie (J. Circuits Syst. Comput., 2011)

A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction. - Stefan Lessmann; Ming-Chien Sung; Johnnie E. V. Johnson; Tiejun Ma (Eur. J. Oper. Res., 2012)

Combining POS Tagging, Lucene Search and Similarity Metrics for Entity Linking. - Shujuan Zhao; Chune Li; Shuai Ma 001; Tiejun Ma; Dianfu Ma (WISE (1), 2013)

Single-view determinacy and rewriting completeness for a fragment of XPath queries. - Lixiao Zheng; Shuai Ma 001; Xiangyu Luo; Tiejun Ma (Sci. China Inf. Sci., 2016)

Time is money: Costing the impact of duration misperception in market prices. - Tiejun Ma; Leilei Tang; Frank McGroarty; Ming-Chien Sung; Johnnie E. V. Johnson (Eur. J. Oper. Res., 2016)

Bridging the divide in financial market forecasting: machine learners vs. financial economists. - Ming-Wei Hsu; Stefan Lessmann; Ming-Chien Sung; Tiejun Ma; Johnnie E. V. Johnson (Expert Syst. Appl., 2016)

Social Machines: how recent technological advances have aided financialisation. - Tiejun Ma; Frank McGroarty (J. Inf. Technol., 2017)

An Ensemble Approach to Link Prediction. - Liang Duan; Shuai Ma 001; Charu C. Aggarwal; Tiejun Ma; Jinpeng Huai (IEEE Trans. Knowl. Data Eng., 2017)

To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market. - Lawrence Green; Ming-Chien Sung; Tiejun Ma; Johnnie E. V. Johnson (Eur. J. Oper. Res., 2019)

Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. - Alisa Kim; Yaodong Yang 001; Stefan Lessmann; Tiejun Ma; Ming-Chien Sung; Johnnie E. V. Johnson (Eur. J. Oper. Res., 2020)

Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices. - Larry Olanrewaju Orimoloye; Ming-Chien Sung; Tiejun Ma; Johnnie E. V. Johnson (Expert Syst. Appl., 2020)

A Stochastic Programming Approach for an Enhanced Performance of a Multi-committees Byzantine Fault Tolerant Algorithm. - Yifei Xie 002; Btissam Er-Rahmadi; Xiao Chen 003; Tiejun Ma; Jane Hillston (Euro-Par Workshops, 2022)

Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate. - Tiejun Ma; P. A. F. Fraser-Mackenzie; Ming-Chien Sung; A. P. Kansara; Johnnie E. V. Johnson (Eur. J. Oper. Res., 2022)

Data-driven mixed-Integer linear programming-based optimisation for efficient failure detection in large-scale distributed systems. - Btissam Er-Rahmadi; Tiejun Ma (Eur. J. Oper. Res., 2022)

Turning the heat on financial decisions: Examining the role temperature plays in the incidence of bias in a time-limited financial market. - Luis Felipe Costa Sperb; Ming-Chien Sung; Tiejun Ma; Johnnie E. V. Johnson (Eur. J. Oper. Res., 2022)

Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing. - She Sun; Shuai Ma 001; Jinghe Song; Wen-Hai Yue; Xuelian Lin; Tiejun Ma (J. Comput. Sci. Technol., 2022)

Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation. - Wei Wang 324; Huifu Xu; Tiejun Ma (Eur. J. Oper. Res., 2023)

Acute Effects of Carbon Fiber Insole on Three Aspects of Sports Performance, Lower Extremity Muscle Activity, and Subjective Comfort. - Myeonghoon Ko; Tiejun Ma; Shuping Xiong (Sensors, 2023)

Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection. - Xiaoqun Yu; Tiejun Ma; Jaehyuk Jang; Shuping Xiong (IEEE J. Biomed. Health Informatics, 2023)

ParBFT: An Optimized Byzantine Consensus Parallelism Scheme. - Xiao Chen 003; Btissam Er-Rahmadi; Tiejun Ma; Jane Hillston (IEEE Trans. Computers, 2023)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction. - Mengyu Wang; Tiejun Ma (CIKM, 2024)

Modeling News Interactions and Influence for Financial Market Prediction. - Mengyu Wang; Shay B. Cohen; Tiejun Ma (EMNLP (Findings), 2024)

Investigation of the Impact of a Passive Shoulder Exoskeleton on the Shoulder Range of Motion: A Preliminary Study. - Tiejun Ma; Erik Jonathan; Shuping Xiong (HCI (26), 2024)

Parallel Byzantine Consensus Based on Hierarchical Architecture and Trusted Hardware. - Xiao Chen 003; Tiejun Ma; Btissam Er-Rahmadi; Jane Hillston; Guanxu Yuan (IEEE Trans. Dependable Secur. Comput., 2024)

TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model. - Weixian Waylon Li; Yftah Ziser; Yifei Xie 002; Shay B. Cohen; Tiejun Ma (KDD (1), 2025)

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? - Weixian Waylon Li; Hyeonjun Kim; Mihai Cucuringu; Tiejun Ma (CoRR, 2025)

Pre-training Time Series Models with Stock Data Customization. - Mengyu Wang; Tiejun Ma; Shay B. Cohen (CoRR, 2025)