Intelligent Kanban: Evaluation of a Supply Chain MAS Application Using Benchmarking. - James Zhang; Peter Wallis; Robert B. Johnston (EEE, 2005)

Why Generative Phrase Models Underperform Surface Heuristics. - John DeNero; Dan Gillick; James Zhang; Dan Klein 001 (WMT@HLT-NAACL, 2006)

Toward a Synergy between Simulation and Knowledge Management for Business Intelligence. - James Zhang; Douglas C. Creighton; Saeid Nahavandi (Cybern. Syst., 2008)

A generalised data analysis approach for baggage handling systems simulation. - Vu Thanh Le 001; James Zhang; Michael Johnstone; Saeid Nahavandi; Douglas C. Creighton (SMC, 2012)

Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre. - James Zhang; Vu Le 001; Michael Johnstone; Saeid Nahavandi; Douglas C. Creighton (UKSim, 2012)

Dynamic control of skilled and unskilled labour task assignments. - Vu Thanh Le 001; James Zhang; Michael Johnstone; Saeid Nahavandi; Douglas C. Creighton (AIM, 2013)

Extending reactivity: a Kanban-based supply chain control system. - James Zhang (2013)

Knowledge-based automatic performance evaluation for medical training debriefing. - James Zhang; Samer Hanoun; Douglas C. Creighton; Saeid Nahavandi; Karen D'Souza; Kellie Britt; Richard Yanieri (SMC, 2014)

A dynamic time warped clustering technique for discrete event simulation-based system analysis. - Michael Johnstone; Vu Thanh Le 001; James Zhang; Bruce Gunn; Saeid Nahavandi; Douglas C. Creighton (Expert Syst. Appl., 2015)

Cohort analysis of simulation-based medical training for decision support. - James Zhang; Samer Hanoun; Burhan Khan; Douglas C. Creighton; Saeid Nahavandi; Kellie Britt; Karen D'Souza; Jon Watson; Richard Yanieri (SMC, 2017)

A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. - Samer Hanoun; James Zhang; Vu Le 001; Burhan Khan; Michael Johnstone; Michael Fielding; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi (SysCon, 2017)

Effect of metal line width on electromigration of BEOL Cu interconnects. - Seungman Choi; Cathryn Christiansen; Linjun Cao; James Zhang; Ronald Filippi; Tian Shen; Kong Boon Yeap; Sean P. Ogden; Haojun Zhang; Bianzhu Fu; Patrick Justison (IRPS, 2018)

Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms. - James Zhang; Ilija Vukotic; Robert W. Gardner (CoRR, 2018)

Anomaly detection in wide area network meshes using two machine learning algorithms. - James Zhang; Robert W. Gardner; Ilija Vukotic (Future Gener. Comput. Syst., 2019)

A unified framework for interactive image segmentation via Fisher rules. - Lingkun Luo; Xiaofang Wang; Shiqiang Hu; Xing Hu 007; Huanlong Zhang; Yaohua Liu; James Zhang (Vis. Comput., 2019)

Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. - Masood Ul Hassan; Rakesh Veerabhadrappa; James Zhang; Asim Bhatti (SMC, 2020)

Intention Propagation for Multi-agent Reinforcement Learning. - Chao Qu; Hui Li 061; Chang Liu; Junwu Xiong; James Zhang; Wei Chu; Yuan Qi 001; Le Song (CoRR, 2020)

Riemannian Proximal Policy Optimization. - Shijun Wang; Baocheng Zhu; Chen Li; Mingzhe Wu; James Zhang; Wei Chu; Yuan Qi 001 (CoRR, 2020)

Neural Physicist: Learning Physical Dynamics from Image Sequences. - Baocheng Zhu; Shijun Wang; James Zhang (CoRR, 2020)

Model Embedding Model-Based Reinforcement Learning. - Xiaoyu Tan; Chao Qu; Junwu Xiong; James Zhang (CoRR, 2020)

Automated Classification of Computing Education Questions using Bloom's Taxonomy. - James Zhang; Casey Wong; Nasser Giacaman; Andrew Luxton-Reilly (ACE, 2021)

A Graph Regularized Point Process Model For Event Propagation Sequence. - Siqiao Xue; Xiaoming Shi 001; Hongyan Hao; Lintao Ma; James Zhang; Shiyu Wang 001; Shijun Wang (IJCNN, 2021)

Scientific Collaboration Network Analysis for Computing Education Conferences. - James Zhang; Andrew Luxton-Reilly; Paul Denny 001; Jacqueline Whalley (ITiCSE (1), 2021)

Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. - Huiru Xiao; Caigao Jiang; Yangqiu Song; James Zhang; Junwu Xiong (CoRR, 2021)

Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling. - James Zhang; Michael Johnstone; Vu Le 001; Burhan Khan; Mohammad Anwar Hosen; Douglas C. Creighton; Jessica Carney; Andy Wilson; Michael Lynch (Expert Syst. Appl., 2021)

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng (ICDM (Workshops), 2022)

Memory Augmented State Space Model for Time Series Forecasting. - Yinbo Sun; Lintao Ma; Yu Liu 071; Shijun Wang; James Zhang; Yangfei Zheng; Hu Yun; Lei Lei 001; Yulin Kang; Llinbao Ye (IJCAI, 2022)

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. - Siqiao Xue; Chao Qu; Xiaoming Shi 001; Cong Liao; Shiyi Zhu; Xiaoyu Tan; Lintao Ma; Shiyu Wang 001; Shijun Wang; Yun Hu 001; Lei Lei 001; Yangfei Zheng; et al. (KDD, 2022)

Learning Large-scale Universal User Representation with Sparse Mixture of Experts. - Caigao Jiang; Siqiao Xue; James Zhang; Lingyue Liu; Zhibo Zhu; Hongyan Hao (CoRR, 2022)

Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning. - Junwu Xiong; Xiaoyun Feng; YunZhou Shi; James Zhang; Zhongzhou Zhao; Wei Zhou (CoRR, 2022)

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2022)

The Joint Effects of Argument Quality and Interactivity on Nonprofessional Investors' Perceptions of Disclosure Credibility and Investment Decisions. - Oluwakemi Ajayi; James Zhang (J. Inf. Syst., 2022)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Chao Qu; Xiaoyu Tan; Siqiao Xue; Xiaoming Shi 001; James Zhang; Hongyuan Mei (AAAI, 2023)

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Hu Yun (AAAI, 2023)

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. - Shiyu Wang 001; Yinbo Sun; Yan Wang 002; Fan Zhou 012; Lintao Ma; James Zhang; Yangfei Zheng (DASFAA (1), 2023)

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. - Gangwei Jiang; Caigao Jiang; Siqiao Xue; James Zhang; Jun Zhou 011; Defu Lian; Ying Wei 001 (EMNLP (Findings), 2023)

Full Scaling Automation for Sustainable Development of Green Data Centers. - Shiyu Wang 001; Yinbo Sun; Xiaoming Shi 001; Shiyi Zhu; Lintao Ma; James Zhang; Yangfei Zheng; Liu Jian (IJCAI, 2023)

Prompt-augmented Temporal Point Process for Streaming Event Sequence. - Siqiao Xue; Yan Wang 002; Zhixuan Chu; Xiaoming Shi 001; Caigao Jiang; Hongyan Hao; Gangwei Jiang; Xiaoyun Feng; James Zhang; Jun Zhou 011 (NeurIPS, 2023)

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2023)

Full Scaling Automation for Sustainable Development of Green Data Centers. - Shiyu Wang 001; Yinbo Sun; Xiaoming Shi 001; Shiyi Zhu; Linfao Ma; James Zhang; Yifei Zheng; Jian Liu (CoRR, 2023)

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction. - Shuai Xiao; Chen Pan; Min Wang; Xinxin Zhu; Siqiao Xue; Jing Wang; Yunhua Hu; James Zhang; Jinghua Feng (CoRR, 2023)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (CoRR, 2023)

Continual Learning in Predictive Autoscaling. - Hongyan Hao; Zhixuan Chu; Shiyi Zhu; Gangwei Jiang; Yan Wang 002; Caigao Jiang; James Zhang; Wei Jiang; Siqiao Xue; Jun Zhou 011 (CoRR, 2023)

Continuous Invariance Learning. - Yong Lin; Fan Zhou 012; Lu Tan; Lintao Ma; Jiameng Liu; Yansu He; Yuan Yuan; Yu Liu 071; James Zhang; Yujiu Yang; Hao Wang 014 (CoRR, 2023)

Deep Optimal Timing Strategies for Time Series. - Chen Pan; Fan Zhou 012; Xuanwei Hu; Xinxin Zhu; Wenxin Ning; Zi Zhuang; Siqiao Xue; James Zhang; Yunhua Hu (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (AAAI, 2024)

Post-OCR Correction with OpenAI's GPT Models on Challenging English Prosody Texts. - James Zhang; Wouter Haverals; Mary Naydan; Brian W. Kernighan (DocEng, 2024)

Stance classification: a comparative study and use case on Australian parliamentary debates. - Stephanie Ng; James Zhang; Samson Yu 002; Asim Bhatti; Kathryn Backholer; C. P. Lim (J. Comput. Soc. Sci., 2025)