Chinese enterprises going global
Studying how Chinese firms identify overseas opportunities, understand local markets, and build relationships across cultures.
Internationalisation · Market intelligence · Cross-cultural communicationInternational Business · AI · Sustainability
Chinese firms.Global horizons.
My research focuses on Chinese enterprises going global—bringing together overseas market intelligence, cross-cultural communication, AI-powered analytics, and sustainable business.
聚焦中国企业出海，以AI与数据洞察支持国际化决策。
Assistant ProfessorCo-founder, NaviSight · 航策智能Head, Business Analytics Research ClusterLead, Go-Global Intelligence LaboratoryXi’an Jiaotong-Liverpool University
Current focusChinese enterprises going global
Go-Global Intelligence Lab出海智能实验室 · Lab Lead
13research, industry & teaching projects
FHEA · CPAacademic and professional recognition
Research agenda
Understanding markets.
Connecting evidence.
Chinese enterprises’ internationalisation is the central focus of my evolving research agenda. AI provides the analytical methods; sustainability and human judgment shape the questions.
AI for international business
Using natural language processing, computer vision, and multimodal analysis to turn market signals and corporate narratives into evidence for business decisions.
AI · NLP · Computer vision · Business analyticsSustainable global business
Examining ESG disclosure, corporate culture, sustainable supply chains, and finance as firms navigate stakeholder expectations across markets.
ESG · Disclosure · Sustainable financeHuman–AI learning
Designing project-based learning that connects real business problems, responsible AI use, and students’ capacity for independent judgment.
PBL · eduScrum · Human–AI collaborationGo-Global Intelligence Laboratory · 出海智能实验室
I lead a research agenda connecting Chinese enterprises’ international expansion with AI, market intelligence, and sustainable business.
Projects & partnerships
Questions into practice.
Bosch, ESG & market intelligence
Logistics optimisation, enterprise disclosure systems, and market intelligence developed with industry partners.
Corporate culture, eduScrum & AI
Funded research and student projects connecting textual evidence, responsible AI, and authentic business problems.
Selected publications
Research built to be reused.
01
Tax avoidance · Earnings quality
2026↗02Non-conforming Tax Avoidance and Real Earnings Management
Asian Review of Accounting, 1–29
ESG · NLP · Sustainable supply chains
2025↗03Decoding ESG Report Narratives: Unveiling Sustainable Supply Chain Insights and Impacts Through Textual Analysis
Corporate Social Responsibility and Environmental Management, 32(2), 2559–2581
Tax strategy · Earnings persistence
2025↗Conforming Tax Avoidance and Earnings Persistence
Pacific Accounting Review, 37(1), 89–112
Translation & impact
Research leaves the page.
I work at the boundary between academic evidence and operating reality—where a model must survive data limitations, organizational incentives, and the consequences of a decision.
Teaching & learning
AI should deepen inquiry,
not bypass it.
My teaching combines project-based learning, authentic industry problems, and human–AI collaboration. Students learn to make claims, test evidence, and defend decisions—not merely produce polished outputs.
Data Mining ApplicationsInformation Systems ManagementSyntegrative Education in Deep Practice
2026
Syntegrative Education Excellence Award
2025
XEC Champions Best Practices Sharing Award
2024
Teaching Excellence Award
2024
Excellent Supervisor, Citi Cup Fintech Competition
2021 & 2020
Monash Purple Letter for Outstanding Teaching Performance
Research pipeline
What I am building next.
Signaling or Obfuscating? Green Bond Issuance and Visual–Textual Consistency in ESG Disclosures
A multimodal inquiry into whether what companies show aligns with what they say in ESG reporting.
Provenance-preserving Multiview AI for ESG Disclosure
Developing auditable methods that integrate text, visuals, external evidence, and stakeholder perspectives without erasing source provenance.
Open to serious collaboration
Bring a consequential
question.
Research collaboration and doctoral supervision in Chinese firms’ internationalisation, AI business analytics, sustainable global business, and human–AI learning.
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