Learning for Feasible Region on Coal Mine Virtual Power Plants with Imperfect Information

no code implementations • 2 Mar 2025 • Hongxu Huang, Ruike Lyu, Cheng Feng, Haiwang Zhong, H. B. Gooi, Bo Li, Rui Liang

The feasible region assessment (FRA) in industrial virtual power plants (VPPs) is driven by the need to activate large-scale latent industrial loads for demand response, making it essential to aggregate these flexible resources for peak regulation.

Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning

no code implementations • 23 Dec 2024 • Rui Liang, Yang Deng, Donghua Xie, Fang He, Dan Wang

Advances in time-series forecasting are driving a shift from conventional machine learning models to foundation models (FMs) that are trained with generalized knowledge.

Time Series Time Series Forecasting

A Large-scale Attribute Dataset for Zero-shot Learning

1 code implementation • 12 Apr 2018 • Bo Zhao, Yanwei Fu, Rui Liang, Jia-Hong Wu, Yonggang Wang, Yizhou Wang

In classical ZSL algorithms, attributes are introduced as the intermediate semantic representation to realize the knowledge transfer from seen classes to unseen classes.

Attribute Transfer Learning +1

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

3 code implementations • 17 Nov 2017 • Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang

Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets.

Attribute General Classification +1