James Zhang

Orcid: 0009-0002-6703-8647

According to our database1, James Zhang authored at least 48 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Post-OCR Correction with OpenAI's GPT Models on Challenging English Prosody Texts.
Proceedings of the ACM Symposium on Document Engineering 2024, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR, 2023

Deep Optimal Timing Strategies for Time Series.
CoRR, 2023

Continuous Invariance Learning.
CoRR, 2023

Continual Learning in Predictive Autoscaling.
CoRR, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction.
CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.
CoRR, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.
CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.
Proceedings of the Database Systems for Advanced Applications, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The Joint Effects of Argument Quality and Interactivity on Nonprofessional Investors' Perceptions of Disclosure Credibility and Investment Decisions.
J. Inf. Syst., September, 2022

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.
CoRR, 2022

Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning.
CoRR, 2022

Learning Large-scale Universal User Representation with Sparse Mixture of Experts.
CoRR, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Memory Augmented State Space Model for Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling.
Expert Syst. Appl., 2021

Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space.
CoRR, 2021

Scientific Collaboration Network Analysis for Computing Education Conferences.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

A Graph Regularized Point Process Model For Event Propagation Sequence.
Proceedings of the International Joint Conference on Neural Networks, 2021

Automated Classification of Computing Education Questions using Bloom's Taxonomy.
Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020
Model Embedding Model-Based Reinforcement Learning.
CoRR, 2020

Neural Physicist: Learning Physical Dynamics from Image Sequences.
CoRR, 2020

Riemannian Proximal Policy Optimization.
CoRR, 2020

Intention Propagation for Multi-agent Reinforcement Learning.
CoRR, 2020

Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
A unified framework for interactive image segmentation via Fisher rules.
Vis. Comput., 2019

Anomaly detection in wide area network meshes using two machine learning algorithms.
Future Gener. Comput. Syst., 2019

2018
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms.
CoRR, 2018

Effect of metal line width on electromigration of BEOL Cu interconnects.
Proceedings of the IEEE International Reliability Physics Symposium, 2018

2017
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications.
Proceedings of the 2017 Annual IEEE International Systems Conference, 2017

Cohort analysis of simulation-based medical training for decision support.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2015
A dynamic time warped clustering technique for discrete event simulation-based system analysis.
Expert Syst. Appl., 2015

2014
Knowledge-based automatic performance evaluation for medical training debriefing.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
Extending reactivity: a Kanban-based supply chain control system.
PhD thesis, 2013

Dynamic control of skilled and unskilled labour task assignments.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012
Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre.
Proceedings of the 14th International Conference on Computer Modelling and Simulation, 2012

A generalised data analysis approach for baggage handling systems simulation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2008
Toward a Synergy between Simulation and Knowledge Management for Business Intelligence.
Cybern. Syst., 2008

2006
Why Generative Phrase Models Underperform Surface Heuristics.
Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006

2005
Intelligent Kanban: Evaluation of a Supply Chain MAS Application Using Benchmarking.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005


  Loading...