Zhongyi Pei

According to our database, Zhongyi Pei authored at least 17 papers between 2012 and 2026.

Collaborative distances:

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

2026

Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting.

Yunzhong Qiu, Binzhu Li, Hao Wei, Shenglin Weng, Chen Wang, Zhongyi Pei, Mingsheng Long, Jianmin Wang

CoRR, March, 2026

Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series.

Jiafeng Lin, Mengren Zheng, Simeng Ye, Yuxuan Wang, Huan Zhang, Yuhui Liu, Zhongyi Pei, Jianmin Wang

CoRR, March, 2026

Retrieval-Augmented Generation with Covariate Time Series.

Kenny Ye Liang, Zhongyi Pei, Huan Zhang, Yuhui Liu, Shaoxu Song, Jianmin Wang

CoRR, March, 2026

Boosting AI Reliability with an FSM-Driven Streaming Inference Pipeline: An Industrial Case.

Yutian Zhang, Zhongyi Pei, Yi Mao, Chen Wang, Lin Liu, Jianmin Wang

CoRR, March, 2026

Thoth: Mid-Training Bridges LLMs to Time Series Understanding.

Jiafeng Lin, Yuxuan Wang, Jialong Wu, Huakun Luo, Zhongyi Pei, Jianmin Wang

CoRR, March, 2026

Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models.

Yunzhong Qiu, Zhiyao Cen, Zhongyi Pei, Chen Wang, Jianmin Wang

CoRR, March, 2026

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization.

Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long

CoRR, February, 2026

DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models.

Jinpeng Li, Zhongyi Pei, Huaze Xue, Bojian Zheng, Chen Wang, Jianmin Wang

CoRR, February, 2026

TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts.

Jiafeng Lin, Yuxuan Wang, Huakun Luo, Zhongyi Pei, Jianmin Wang

CoRR, February, 2026

2025

TimesBERT: A BERT-Style Foundation Model for Time Series Understanding.

Haoran Zhang, Yong Liu, Yunzhong Qiu, Haixuan Liu, Zhongyi Pei, Jianmin Wang, Mingsheng Long

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Impute4TSC: Evaluating Missing Value Imputation Methods for Time Series Classification.

Xiaoou Ding, Cong Peng, Muyun Zhou, Hongzhi Wang, Zhongyi Pei, Chen Wang, Jianmin Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

2024

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization.

Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine.

Te Han, Wenzhen Xie, Zhongyi Pei

Inf. Sci., November, 2023

A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems.

Wenzhen Xie, Te Han, Zhongyi Pei, Min Xie

Eng. Appl. Artif. Intell., 2023

2022

Requirements Engineering for Machine Learning: A Review and Reflection.

Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang

Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

2018

Multi-Adversarial Domain Adaptation.

Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2012

Energy efficient ant colony algorithms for data aggregation in wireless sensor networks.

Chi Lin, Guowei Wu, Feng Xia, Mingchu Li, Lin Yao, Zhongyi Pei

J. Comput. Syst. Sci., 2012