Zi'ang Wang

ORCID: 0009-0009-9382-3500
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About
Contact & Profiles
Research Areas
  • FinTech, Crowdfunding, Digital Finance
  • Artificial Intelligence in Healthcare and Education
  • Working Capital and Financial Performance
  • Lung Cancer Diagnosis and Treatment
  • COVID-19 diagnosis using AI
  • Private Equity and Venture Capital
  • Land Use and Ecosystem Services
  • Big Data and Business Intelligence
  • Merger and Competition Analysis
  • Topic Modeling
  • Insurance and Financial Risk Management
  • Cancer Diagnosis and Treatment
  • Supply Chain Resilience and Risk Management
  • Data-Driven Disease Surveillance
  • Energy Load and Power Forecasting
  • COVID-19 Pandemic Impacts
  • Supply Chain and Inventory Management
  • Quality and Supply Management
  • Electric Power System Optimization
  • Banking stability, regulation, efficiency
  • Spatial and Panel Data Analysis
  • Head and Neck Cancer Studies
  • Smart Grid Energy Management
  • Statistical and Computational Modeling
  • Radiomics and Machine Learning in Medical Imaging

Shanghai Chest Hospital
2023-2024

Shanghai Jiao Tong University
2023-2024

University of Wollongong in Dubai
2023-2024

Hong Kong Polytechnic University
2020-2023

Baker University
2023

Chinese University of Hong Kong
2021

This paper discusses OpenAI's ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., "chatbot"). The history and principles behind ChatGPT similar models are discussed. technology is then discussed in relation its potential impact on academia scholarly research publishing. seen as model for the automated preparation of essays other types manuscripts. Potential ethical issues that could arise with emergence large like...

10.2139/ssrn.4389887 article EN SSRN Electronic Journal 2023-01-01

While global supply chains provide firms with a buffer against local shocks, they expose to multiregional risks. The COVID‐19 pandemic and its differential impact on different regions in the world offer an opportunity explore these effects. We investigate chain risk by focusing credit measured abnormal default swaps (CDS) spreads US–China networks. Our evidence shows that risks propagate through other regions. Using matched sample, we find CDS for Chinese partners increase 12% 13% relative...

10.1111/poms.14079 article EN cc-by Production and Operations Management 2023-09-27

Financial technology, also known as fintech, is transforming daily lives and revolutionising the financial industry. However, there currently no consensus regarding effect of fintech on green bond market. Using novel Chinese data, this study provides robust evidence that development can significantly boost issuance. Further analysis suggests promotional occurs by empowering intermediary institutions increasing social environmental awareness. Additionally, we investigate heterogeneous find...

10.1016/j.intfin.2024.102009 article EN cc-by Journal of International Financial Markets Institutions and Money 2024-05-21

While global supply chains provide firms with a buffer against local shocks, they expose to multi-regional risks. The COVID-19 pandemic and its differential impact on different regions in the world offer an opportunity explore these effects. We investigate chain risk by focusing credit measured abnormal CDS spreads US-China networks. Our evidence shows that risks propagate through other regions. Using matched sample, we find for Chinese partners increase 12-13 percent relative average raw...

10.2139/ssrn.3639735 article EN SSRN Electronic Journal 2020-01-01

Spatial-temporal forecasting has various applications in transportation, climate, and human activity domains. Current spatial-temporal models primarily adopt a macro perspective, focusing on achieving strong overall prediction performance for the entire system. However, most of these overlook importance enhancing uniformity across different nodes, leading to poor capabilities certain nodes rendering some results impractical. This task is particularly challenging due inherent heterogeneity...

10.48550/arxiv.2412.00316 preprint EN arXiv (Cornell University) 2024-11-29

Our study reveals that the potential for bias within AI-driven language models, such as GPT-3, poses a significant threat to integrity of science. These models are trained on vast amounts data, primarily from internet, which can lead in data. For example, if data source is biased or incomplete, this will be reflected model's output.

10.2139/ssrn.4417262 article EN SSRN Electronic Journal 2023-01-01

Financial technology, also known as Fintech, is transforming our daily life and revolutionizing the financial industry. Yet at present, consensus regarding effect of Fintech on green bonds market lacking. With novel data from China, this study documents robust evidence showing that development can significantly boost issuance. Further analysis suggests promotion occurs by empowering intermediary institutions increasing social environmental awareness. Additionally, we investigate...

10.2139/ssrn.4573609 preprint EN 2023-01-01

The suitability of sublobar resection as a surgical approach for early-stage non-small cell lung cancer (NSCLC) remains unclear. This study investigated the feasibility in patients with pathological-stage IA adenocarcinoma less than 2 cm characterized by high-risk pathological subtype but exhibiting radiologically noninvasive features.

10.21037/tlcr-24-231 article EN Translational Lung Cancer Research 2023-01-01

We document a human capital coordination framework between supply chain partners. show that the partners is much more intensive than firms who are potential but not actual partners, supporting as relationship-specific investment in chains. The further enhanced for suppliers with higher R&D intensity, bargaining power, and lower adjustment costs. establish causality claim using H-1B lottery an exogenous instrument variable to firms' acquisition. By examining detailed job occupations demanded...

10.2139/ssrn.3963511 article EN SSRN Electronic Journal 2021-01-01
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