James Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Venues

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI (2024)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. CoRR (2024)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. AAAI (2024)
Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu
Full Scaling Automation for Sustainable Development of Green Data Centers. CoRR (2023)
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS (2023)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. CoRR (2023)
Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. CoRR (2023)
Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) (2023)
Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian
Full Scaling Automation for Sustainable Development of Green Data Centers. IJCAI (2023)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI (2023)
Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng
Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. DASFAA (1) (2023)
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR (2023)
Chen Pan, Fan Zhou, Xuanwei Hu, Xinxin Zhu, Wenxin Ning, Zi Zhuang, Siqiao Xue, James Zhang, Yunhua Hu
Deep Optimal Timing Strategies for Time Series. CoRR (2023)
Yong Lin, Fan Zhou, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang
Continuous Invariance Learning. CoRR (2023)
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang, Xihe Qiu
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP (2023)
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. AAAI (2023)
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR (2023)
Shuai Xiao, Chen Pan, Min Wang, Xinxin Zhu, Siqiao Xue, Jing Wang, Yunhua Hu, James Zhang, Jinghua Feng
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction. CoRR (2023)
Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS (2023)
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
Continual Learning in Predictive Autoscaling. CoRR (2023)
Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. CoRR (2022)
Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR (2022)
Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao
Learning Large-scale Universal User Representation with Sparse Mixture of Experts. CoRR (2022)
Junwu Xiong, Xiaoyun Feng, YunZhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning. CoRR (2022)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR (2022)
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR (2022)
Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye
Memory Augmented State Space Model for Time Series Forecasting. IJCAI (2022)
Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD (2022)
Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng
End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. ICDM (Workshops) (2022)
Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS (2022)
Oluwakemi Ajayi, James Zhang
The Joint Effects of Argument Quality and Interactivity on Nonprofessional Investors' Perceptions of Disclosure Credibility and Investment Decisions. J. Inf. Syst. 36 (3) (2022)
James Zhang, Casey Wong, Nasser Giacaman, Andrew Luxton-Reilly
Automated Classification of Computing Education Questions using Bloom's Taxonomy. ACE (2021)
Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong
Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. CoRR (2021)
James Zhang, Andrew Luxton-Reilly, Paul Denny, Jacqueline Whalley
Scientific Collaboration Network Analysis for Computing Education Conferences. ITiCSE (2021)
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang
A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN (2021)
James Zhang, Michael Johnstone, Vu Le, Burhan Khan, Mohammad Anwar Hosen, Douglas C. Creighton, Jessica Carney, Andy Wilson, Michael Lynch
Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling. Expert Syst. Appl. 186 (2021)
Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
Model Embedding Model-Based Reinforcement Learning. CoRR (2020)
Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi
Riemannian Proximal Policy Optimization. CoRR (2020)
Baocheng Zhu, Shijun Wang, James Zhang
Neural Physicist: Learning Physical Dynamics from Image Sequences. CoRR (2020)
Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
Intention Propagation for Multi-agent Reinforcement Learning. CoRR (2020)
Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti
Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. SMC (2020)
James Zhang, Robert W. Gardner, Ilija Vukotic
Anomaly detection in wide area network meshes using two machine learning algorithms. Future Gener. Comput. Syst. 93 (2019)
Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang, Yaohua Liu, James Zhang
A unified framework for interactive image segmentation via Fisher rules. Vis. Comput. 35 (12) (2019)
Seungman Choi, Cathryn Christiansen, Linjun Cao, James Zhang, Ronald Filippi, Tian Shen, Kong Boon Yeap, Sean P. Ogden, Haojun Zhang, Bianzhu Fu, Patrick Justison
Effect of metal line width on electromigration of BEOL Cu interconnects. IRPS (2018)
James Zhang, Ilija Vukotic, Robert W. Gardner
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms. CoRR (2018)
James Zhang, Samer Hanoun, Burhan Khan, Douglas C. Creighton, Saeid Nahavandi, Kellie Britt, Karen D'Souza, Jon Watson, Richard Yanieri
Cohort analysis of simulation-based medical training for decision support. SMC (2017)
Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. SysCon (2017)
Michael Johnstone, Vu Thanh Le, James Zhang, Bruce Gunn, Saeid Nahavandi, Douglas C. Creighton
A dynamic time warped clustering technique for discrete event simulation-based system analysis. Expert Syst. Appl. 42 (21) (2015)
James Zhang, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi, Karen D'Souza, Kellie Britt, Richard Yanieri
Knowledge-based automatic performance evaluation for medical training debriefing. SMC (2014)
Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
Dynamic control of skilled and unskilled labour task assignments. AIM (2013)
James Zhang, Vu Le, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre. UKSim (2012)
Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
A generalised data analysis approach for baggage handling systems simulation. SMC (2012)
James Zhang, Douglas C. Creighton, Saeid Nahavandi
Toward a Synergy between Simulation and Knowledge Management for Business Intelligence. Cybern. Syst. 39 (7) (2008)
John DeNero, Dan Gillick, James Zhang, Dan Klein
Why Generative Phrase Models Underperform Surface Heuristics. WMT@HLT-NAACL (2006)
James Zhang, Peter Wallis, Robert B. Johnston
Intelligent Kanban: Evaluation of a Supply Chain MAS Application Using Benchmarking. EEE (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

James Zhang