Chen Zhang

ORCID: 0000-0002-7403-4866
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About
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Research Areas
  • Cerebral Palsy and Movement Disorders
  • Hydraulic and Pneumatic Systems
  • Balance, Gait, and Falls Prevention
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Mindfulness and Compassion Interventions
  • Shoulder Injury and Treatment
  • Stroke Rehabilitation and Recovery
  • COVID-19 diagnosis using AI
  • Behavioral Health and Interventions
  • Vehicle Dynamics and Control Systems
  • Psychosomatic Disorders and Their Treatments
  • Shoulder and Clavicle Injuries
  • Structural Health Monitoring Techniques
  • Orthopedic Surgery and Rehabilitation

UNSW Sydney
2025

St George Hospital
2025

Sydney Orthopaedic Research Institute
2025

Bryant University
2022-2025

This paper presents a framework for generating domain-specific questions and retrieving answers from target-domain text corpus. The approach involves fine-tuning model to deliver concise tailored mutual funds in finance. Using open-source tools datasets, the proposed pipeline achieves accuracy levels comparable ChatGPT, while offering key advantages such as customizable corpora, reduced training time, lower costs. Benchmarking results highlight its effectiveness potential cost-efficient...

10.1080/08874417.2024.2446629 article EN Journal of Computer Information Systems 2025-01-14

Abstract Attitudes that are blindly adopted, termed premature cognitive commitments, can place unnecessary limitations on how we perceive and engage in the world around us, including fatigue. Fatigue is still widely treated as a somatic reaction, caused by physical limitations. In contrast to this, our hypothesis, based Langer’s mind/body unity theory, states people fatigue at proportional milestones during task, regardless of long it is, strenuous or whether cognitive, be manipulated...

10.1057/s41599-022-01323-0 article EN cc-by Humanities and Social Sciences Communications 2022-09-23
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