Xutao Li

According to our database, Xutao Li authored at least 22 papers between 2011 and 2026.

Collaborative distances:

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

2026

From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting.

Xinyu Zhang, Shanshan Feng, Xutao Li, Kenghong Lin, Fan Li, Pengfei Jia

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting.

Pengfei Jia, Jianghong Ma, Baoquan Zhang, Kenghong Lin, Xinyu Zhang, Chuyao Luo, Xutao Li, Yunming Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model.

Kuai Dai, Hui Su, Xutao Li, Chengxing Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PiMMNet: Introducing Multi-Modal Precipitation Nowcasting via a Physics-informed Perspective.

Demin Yu, Wenchuan Du, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Xunlai Chen

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

2024

TinyPredNet: A Lightweight Framework for Satellite Image Sequence Prediction.

Kuai Dai, Xutao Li, Huiwei Lin, Yin Jiang, Xunlai Chen, Yunming Ye, Di Xian

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction.

Shidong Chen, Baoquan Zhang, Xutao Li, Yunming Ye, Kenghong Lin

Neural Networks, 2024

Prototype Optimization with Neural ODE for Few-Shot Learning.

Baoquan Zhang, Shanshan Feng, Bingqi Shan, Xutao Li, Yunming Ye, Yew-Soon Ong

CoRR, 2024

Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.

Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting.

Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong

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

2023

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning.

Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye

CoRR, 2023

UER: A Heuristic Bias Addressing Approach for Online Continual Learning.

Huiwei Lin, Shanshan Feng, Baoquan Zhang, Hongliang Qiao, Xutao Li, Yunming Ye

CoRR, 2023

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning.

Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction.

Guangning Xu, Kenghong Lin, Xutao Li, Yunming Ye

Pattern Recognit. Lett., 2022

ECDNet: A bilateral lightweight cloud detection network for remote sensing images.

Chen Luo, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Zhihao Chen, Yingling Quan

Pattern Recognit., 2022

SentATN: learning sentence transferable embeddings for cross-domain sentiment classification.

Kuai Dai, Xutao Li, Xu Huang, Yunming Ye

Appl. Intell., 2022

2021

Learn to abstract via concept graph for weakly-supervised few-shot learning.

Baoquan Zhang, Ka-Cheong Leung, Xutao Li, Yunming Ye

Pattern Recognit., 2021

Prototype Completion for Few-Shot Learning.

Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng

CoRR, 2021

2020

A multi-task learning model with adversarial data augmentation for classification of fine-grained images.

Yan Fu, Xutao Li, Yunming Ye

Neurocomputing, 2020

MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning.

Baoquan Zhang, Ka-Cheong Leung, Yunming Ye, Xutao Li

CoRR, 2020

Automatic Cross-City API Matching for Urban Service Collaboration Based on Semantics.

Yongshen Long, Wuqiao Chen, Xutao Li, Yunming Ye

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2017

Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting.

Xutao Li, Yunming Ye, Xiaofei Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2011

An Agglomerative Fuzzy K-means Approach to Building Decision Cluster Classifiers.

Yanfeng Zhang, Xiaofei Xu, Yingqun Liu, Xutao Li, Yunming Ye

Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011