no code implementations • 28 May 2024 • Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
How and to what extent the source bias affects the neural recommendation models within feedback loop remains unknown.
1 code implementation • 26 May 2024 • Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
The proliferation of Large Language Models (LLMs) has led to an influx of AI-generated content (AIGC) on the internet, transforming the corpus of Information Retrieval (IR) systems from solely human-written to a coexistence with LLM-generated content.
no code implementations • 9 May 2024 • Yuqi Zhou, Hao Zhu
Our learning-for-OLS approach can greatly reduce the computation and communication needs during online emergency responses, thus preventing the cascading propagation of contingencies for enhanced power grid resilience.
no code implementations • 6 Feb 2024 • Yuqi Zhou, Ahmed Zamzam, Andrey Bernstein
Increasing amount of wildfires in recent years consistently challenges the safe and reliable operations of power systems.
no code implementations • 26 Nov 2023 • Yuqi Zhou, Yuqing Dong, Rui Yang
Accurate and quick identification of high-impedance faults is critical for the reliable operation of distribution systems.
1 code implementation • 31 Oct 2023 • Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong liu, Xiao Zhang, Gang Wang, Jun Xu
We refer to this category of biases in neural retrieval models towards the LLM-generated text as the \textbf{source bias}.
no code implementations • 27 May 2023 • Huixue Zhou, Robin Austin, Sheng-Chieh Lu, Greg Silverman, Yuqi Zhou, Halil Kilicoglu, Hua Xu, Rui Zhang
Results: From the 198 unique concepts in CIHLex, 62. 1% could be matched to at least one term in the UMLS.
no code implementations • 14 Mar 2023 • Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu
Wildfires pose a significant threat to the safe and reliable operation of electric power systems.
no code implementations • 23 Nov 2021 • Yuqi Zhou, Arun Sukumaran Nair, David Ganger, Abhinandan Tripathi, Chaitanya Baone, Hao Zhu
Accurate load forecasting is critical for electricity market operations and other real-time decision-making tasks in power systems.
no code implementations • 23 Nov 2021 • Yuqi Zhou, Jeehyun Park, Hao Zhu
Effective and timely responses to unexpected contingencies are crucial for enhancing the resilience of power grids.
no code implementations • 24 Jun 2021 • Dalton Schutte, Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang
MATERIALS AND METHODS: We created SemRepDS (an extension of SemRep), capable of extracting semantic relations from abstracts by leveraging a DS-specific terminology (iDISK) containing 28, 884 DS terms not found in the UMLS.
no code implementations • 22 Jan 2021 • Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce, E. Balls-Berry, Rui Zhang
Keywords: Social and Behavioral Determinants of Health, Artificial Intelligence, Electronic Health Records, Natural Language Processing, Predictive Model