most citedData-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response

261 citations · 591 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20231 cited

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models

Jiazheng Li, Zhaoyue Sun, Bin Liang +2

Text classifiers built on Pre-trained Language Models (PLMs) have achieved remarkable progress in various tasks including sentiment analysis, natural language inference, and questi…

eess.IV2023

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

Zifan Chen, Jiazheng Li, Jie Zhao +5

**Background:** Accurate 3D CT scan segmentation of gastric tumors is pivotal for diagnosis and treatment. The challenges lie in the irregular shapes, blurred boundaries of tumors,…

cs.CL20231 cited

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization

Junru Lu, Jiazheng Li, Byron C. Wallace +2

Accessing medical literature is difficult for laypeople as the content is written for specialists and contains medical jargon. Automated text simplification methods offer a potenti…

eess.SY2023261 cited

Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response

Yang Li, Meng Han, Mohammad Shahidehpour +2

A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms. Its emergence provides a new solutio…

eess.SY2021222 cited

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game

Yang Li, Bin Wang, Zhen Yang +2

An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.…

eess.SP2021106 cited

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

Meng Zhang, Jiazheng Li, Yang Li +1

To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of p…