Peisong Niu 牛培淞

Senior Algorithm Engineer & AI Researcher

Wearable Health Intelligence | Time-Series Analysis | Weather Foundation Models | Large Language Models

About

I am a Senior Algorithm Engineer at Ant Group, working on wearable health intelligence. My current focus is on using LLMs to support health understanding and interpretation from long-term wearable data. Previously, I worked at Alibaba DAMO Academy (DAMO-DI-M Lab) on foundation models for weather forecasting and LLM-based time-series analysis.

Experience

2026 - Present

Ant Group

Advancing wearable health intelligence through LLM-based modeling, analysis, and interpretation of long-term personal sensing data.

2022 - 2026

Alibaba DAMO Academy

Developing learning-based forecasting methods for real-world sequential data, spanning LLM-based time-series forecasting and weather foundation models.

Publications

For the full publication list, please see my Google Scholar.

[ECCV 2026] Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling

Yang Zhao*, Peisong Niu*, Tian Zhou*, Ziqing Ma, Guanlong Ma, Rong Jin, Huiling Yuan†, Liang Sun†

[KDD 2026] Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting [pdf]

Ziqing Ma*, Kai Ying*, Xinyue Gu*, Tian Zhou*, Tianyu Zhu*, Haifan Zhang, Peisong Niu, Zheng Wang, Cong Bai, Liang Sun

[CIKM 2025] SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training [pdf]

Jin Wang*, Bingqing Peng*, Wenwei Wang*, Yuanjie Hu, Yuejiang Chen, Peisong Niu, Liang Sun

[KDD 2025] Utilizing Strategic Pre-training to Reduce Overfitting: Baguan-A Pre-trained Weather Forecasting Model [pdf]

Peisong Niu*, Ziqing Ma*, Tian Zhou*, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun†

[arXiv 2024] Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View [pdf]

Peisong Niu*, Tian Zhou*, Xue Wang, Liang Sun, Rong Jin†

[NeurIPS 2023 Spotlight] One Fits All: Power General Time Series Analysis by Pretrained LM [pdf] [code]

Tian Zhou*, Peisong Niu*, Xue Wang*, Liang Sun, Rong Jin†

[AAAI - IAAI 2023] eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms [pdf]

Zhaoyang Zhu*, Weiqi Chen*, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun†

[NeurIPS 2022 Workshop AI4Science] Chemistry Guided Molecular Graph Transformer [pdf]

Peisong Niu*, Tian Zhou*†, Qingsong Wen, Liang Sun, Tao Yao

[CVPR 2021] Indoor Lighting Estimation using an Event Camera [pdf]

Zehao Chen*, Qian Zheng*, Peisong Niu, Huajin Tang, Gang Pan†

Education

2019 - 2022

M.S. in Computer Science and Technology

Zhejiang University

Brain-inspired Computing · Brain-inspired Memory Architecture · Neuromorphic Vision.

2015 - 2019

B.S. in Communication Engineering

Chang'an University

Awards