James Zhang - RankMe

54 papers A* 7B 6C 1Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Change point severity-aware remaining useful life prediction. Reliab. Eng. Syst. Saf. Abrar Mahi Al Rashid, Mohammad Anwar Hosen, Burhan Khan, James Zhang
2025	J	`jnl`	Emergency Response Measures for Catastrophic AI Risk. CoRR James Zhang, Miles Kodama, Zongze Wu, Michael Chen, Yue Zhu, Geng Hong
2025	J	`jnl`	Stance classification: a comparative study and use case on Australian parliamentary debates. J. Comput. Soc. Sci. Stephanie Ng, James Zhang, Samson Yu, Asim Bhatti, Kathryn Backholer, C. P. Lim
2024	A*	`conf`	LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 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
2024	B	`conf`	Post-OCR Correction with OpenAI's GPT Models on Challenging English Prosody Texts. DocEng James Zhang, Wouter Haverals, Mary Naydan, Brian W. Kernighan
2023	J	`jnl`	Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction. CoRR Shuai Xiao, Chen Pan, Min Wang, Xinxin Zhu, Siqiao Xue, Jing Wang, Yunhua Hu, James Zhang, Jinghua Feng
2023	A*	`conf`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023	J	`jnl`	Continual Learning in Predictive Autoscaling. CoRR Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023	J	`jnl`	Continuous Invariance Learning. CoRR Yong Lin, Fan Zhou, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang
2023	J	`jnl`	Deep Optimal Timing Strategies for Time Series. CoRR Chen Pan, Fan Zhou, Xuanwei Hu, Xinxin Zhu, Wenxin Ning, Zi Zhuang, Siqiao Xue, James Zhang, Yunhua Hu
2023	—	`conf`	Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. DASFAA (1) Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng
2023	A*	`conf`	Full Scaling Automation for Sustainable Development of Green Data Centers. IJCAI Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian
2023	J	`jnl`	Full Scaling Automation for Sustainable Development of Green Data Centers. CoRR Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu
2023	J	`jnl`	Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR 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
2023	A*	`conf`	Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
2023	A*	`conf`	SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. AAAI Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun
2023	J	`jnl`	SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. CoRR Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	—	`conf`	Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
2022	J	`jnl`	A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
2022	A*	`conf`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 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
2022	J	`jnl`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR 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
2022	J	`jnl`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022	J	`jnl`	Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning. CoRR Junwu Xiong, Xiaoyun Feng, Yunzhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou
2022	J	`jnl`	End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. CoRR Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu
2022	—	`conf`	End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. ICDM (Workshops) Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng
2022	J	`jnl`	Learning Large-scale Universal User Representation with Sparse Mixture of Experts. CoRR Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao
2022	A*	`conf`	Memory Augmented State Space Model for Time Series Forecasting. IJCAI Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye
2022	J	`jnl`	The Joint Effects of Argument Quality and Interactivity on Nonprofessional Investors' Perceptions of Disclosure Credibility and Investment Decisions. J. Inf. Syst. Oluwakemi Ajayi, James Zhang
2021	B	`conf`	A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang
2021	C	`conf`	Automated Classification of Computing Education Questions using Bloom's Taxonomy. ACE James Zhang, Casey Wong, Nasser Giacaman, Andrew Luxton-Reilly
2021	J	`jnl`	Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling. Expert Syst. Appl. James Zhang, Michael Johnstone, Vu Le, Burhan Khan, Mohammad Anwar Hosen, Douglas C. Creighton, Jessica Carney, Andy Wilson, Michael Lynch
2021	—	`conf`	Scientific Collaboration Network Analysis for Computing Education Conferences. ITiCSE (1) James Zhang, Andrew Luxton-Reilly, Paul Denny, Jacqueline Whalley
2021	J	`jnl`	Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. CoRR Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong
2020	J	`jnl`	Intention Propagation for Multi-agent Reinforcement Learning. CoRR Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
2020	J	`jnl`	Model Embedding Model-Based Reinforcement Learning. CoRR Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
2020	J	`jnl`	Neural Physicist: Learning Physical Dynamics from Image Sequences. CoRR Baocheng Zhu, Shijun Wang, James Zhang
2020	J	`jnl`	Riemannian Proximal Policy Optimization. CoRR Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi
2020	B	`conf`	Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. SMC Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti
2019	J	`jnl`	A unified framework for interactive image segmentation via Fisher rules. Vis. Comput. Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang, Yaohua Liu, James Zhang
2019	J	`jnl`	Anomaly detection in wide area network meshes using two machine learning algorithms. Future Gener. Comput. Syst. James Zhang, Robert W. Gardner, Ilija Vukotic
2018	J	`jnl`	Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms. CoRR James Zhang, Ilija Vukotic, Robert W. Gardner
2018	—	`conf`	Effect of metal line width on electromigration of BEOL Cu interconnects. IRPS Seungman Choi, Cathryn Christiansen, Linjun Cao, James Zhang, Ronald Filippi, Tian Shen, Kong Boon Yeap, Sean P. Ogden, Haojun Zhang, Bianzhu Fu, Patrick Justison
2017	—	`conf`	A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. SysCon Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
2017	B	`conf`	Cohort analysis of simulation-based medical training for decision support. SMC James Zhang, Samer Hanoun, Burhan Khan, Douglas C. Creighton, Saeid Nahavandi, Kellie Britt, Karen D'Souza, Jon Watson, Richard Yanieri
2015	J	`jnl`	A dynamic time warped clustering technique for discrete event simulation-based system analysis. Expert Syst. Appl. Michael Johnstone, Vu Thanh Le, James Zhang, Bruce Gunn, Saeid Nahavandi, Douglas C. Creighton
2014	B	`conf`	Knowledge-based automatic performance evaluation for medical training debriefing. SMC James Zhang, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi, Karen D'Souza, Kellie Britt, Richard Yanieri
2013	—	`conf`	Dynamic control of skilled and unskilled labour task assignments. AIM Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
2013	—	`—`	Extending reactivity: a Kanban-based supply chain control system. James Zhang
2012	B	`conf`	A generalised data analysis approach for baggage handling systems simulation. SMC Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
2012	—	`conf`	Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre. UKSim James Zhang, Vu Le, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton
2008	J	`jnl`	Toward a Synergy between Simulation and Knowledge Management for Business Intelligence. Cybern. Syst. James Zhang, Douglas C. Creighton, Saeid Nahavandi
2006	—	`conf`	Why Generative Phrase Models Underperform Surface Heuristics. WMT@HLT-NAACL John DeNero, Dan Gillick, James Zhang, Dan Klein
2005	—	`conf`	Intelligent Kanban: Evaluation of a Supply Chain MAS Application Using Benchmarking. EEE James Zhang, Peter Wallis, Robert B. Johnston