Jiejie Tian

ORCID: 0000-0001-7251-9782
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About
Contact & Profiles
Research Areas
  • Child Abuse and Related Trauma
  • Data Stream Mining Techniques
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Bandit Algorithms Research
  • Abdominal Trauma and Injuries
  • Recommender Systems and Techniques

City University of Hong Kong
2023

In recent years, Multi-task Learning (MTL) has yielded immense success in Recommender System (RS) applications [40]. However, current MTL-based recommendation models tend to disregard the session-wise patterns of user-item interactions because they are predominantly constructed based on item-wise datasets. Moreover, balancing multiple objectives always been a challenge this field, which is typically avoided via linear estimations existing works. To address these issues, paper, we propose...

10.1145/3543507.3583467 article EN Proceedings of the ACM Web Conference 2022 2023-04-26

Objective: To analyze the accuracy of cyclopexy on traumatic cyclodialysis cleft guided by anterior segment optic coherence tomography (AS-OCT). Methods: Fifty-six eyes 56 consecutive patients[41 males, 15 females, with a mean age (43.14±13.85) years]who diagnosed confirmed ultrasound biomicroscopy (UBM) and underwent surgery at Shanxi Eye Hosiptal from July 2013 to February 2016 were included in study. Patients measured AS-OCT system before cyclopexy. findings clefts recorded. Localizing...

10.3760/cma.j.issn.0376-2491.2018.48.003 article EN PubMed 2018-12-25
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