Qi Li

According to our database, Qi Li authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Causal Modeling-Based Multivariate KPIs Prediction for Parameter Adjustment in Cellular Networks.

Zhenyu Zhang, Qi Li, Yong Zhang, Yuemeng Zhang, Tianmu Sha, Xiaolei Hua, Lin Zhu, Junlan Feng

IEEE Trans. Veh. Technol., January, 2026

Fine-grained inter-series dependency enhanced mining for multi-domain multivariate time series forecasts.

Qi Li, Tianmu Sha, Chenyang He, Zhenyu Zhang, Xiaolei Hua, Dayuan Fu, Lin Zhu, Yinglei Teng, Yong Zhang

Neurocomputing, 2026

2025

JCCMTM: Joint channel-independent and channel-dependent strategy for masked multivariate time-series modeling.

Qi Li, Zhenyu Zhang, Yong Zhang, Zhao Zhang, Lin Zhu, Xiaolei Hua, Renkai Yu, Xinwen Fan, Zhe Lei, Junlan Feng

Neural Networks, 2025

Casual inference-enabled graph neural networks for generalized fault diagnosis in industrial IoT system.

Zhao Zhang, Qi Li, Shenbo Liu, Zhigang Zhang, Wei Chen, Lijun Tang

Inf. Sci., 2025

ELinear: An Efficient Linear Architecture for Edge Intelligence Time Series Forecasting.

Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

PerTime: A Multi-scale Periodic Mixing Model for Long-term Time Series Forecasting.

Zilong Yan, Chenyang He, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data.

Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Da Guo

Proceedings of the International Joint Conference on Neural Networks, 2025

Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting.

Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

CSDnet:Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks.

Xiaolei Hua, Qi Li, Zhao Zhang, Xinwen Fan, Lin Zhu, Renkai Yu, Yongqing Zhou, Yuemeng Zhang, Junlan Feng, Chao Deng, Xiangyang Yuan

Proceedings of the IEEE International Conference on Communications, 2023

2022

Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network.

Xiaolin Zhu, Yong Zhang, Zhao Zhang, Da Guo, Qi Li, Zhao Li

Proceedings of the IEEE INFOCOM 2022, 2022