Zhiyuan Zhao

According to our database, Zhiyuan Zhao authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting.

Zhiyuan Zhao, Sitan Yang, Kin G. Olivares, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. Aditya Prakash, Dmitry Efimov

CoRR, July, 2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.

Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti

CoRR, June, 2025

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness.

Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

CoRR, June, 2025

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook.

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash

CoRR, March, 2025

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights.

Haoxin Liu, Zhiyuan Zhao, Shiduo Li, B. Aditya Prakash

CoRR, March, 2025

2024

A closer look at reinforcement learning-based automatic speech recognition.

Fan Yang, Muqiao Yang, Xiang Li, Yuxuan Wu, Zhiyuan Zhao, Bhiksha Raj, Rita Singh

Comput. Speech Lang., 2024

TSI-Bench: Benchmarking Time Series Imputation.

Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen

CoRR, 2024

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis.

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

CoRR, 2024

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis.

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning.

Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Performative Time-Series Forecasting.

Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash

CoRR, 2023

2022

A Dynamic Reweighting Strategy For Fair Federated Learning.

Zhiyuan Zhao, Gauri Joshi

Proceedings of the IEEE International Conference on Acoustics, 2022

2018

Detecting Malicious Websites in Depth through Analyzing Topics and Web-pages.

Senhao Wen, Zhiyuan Zhao, Hanbing Yan

Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, 2018