Jian Li

ORCID: 0000-0003-2113-5302
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About
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Research Areas
  • interferon and immune responses
  • Cancer Mechanisms and Therapy
  • Complex Systems and Time Series Analysis
  • Stock Market Forecasting Methods
  • Phagocytosis and Immune Regulation
  • Bariatric Surgery and Outcomes
  • Financial Markets and Investment Strategies
  • Liver Disease and Transplantation
  • RNA modifications and cancer
  • Connective tissue disorders research
  • Topic Modeling
  • Organ Transplantation Techniques and Outcomes
  • Liver Disease Diagnosis and Treatment
  • Lung Cancer Treatments and Mutations
  • Cancer-related molecular mechanisms research
  • Software Reliability and Analysis Research
  • Multimodal Machine Learning Applications
  • MicroRNA in disease regulation
  • Cytokine Signaling Pathways and Interactions
  • Domain Adaptation and Few-Shot Learning
  • Esophageal Cancer Research and Treatment
  • Service-Oriented Architecture and Web Services
  • Immunotherapy and Immune Responses
  • Aquaculture disease management and microbiota
  • Maternal and fetal healthcare

Beijing Friendship Hospital
2024

Capital Medical University
2024

Prince of Wales Hospital
2023

Chinese University of Hong Kong
2006-2023

Guiyang Medical University
2023

Mianyang Third People's Hospital
2022

University of Hong Kong
2018-2021

Chengde Medical University
2021

Chinese University of Hong Kong, Shenzhen
2016

First Affiliated Hospital of Nanchang University
2014

Logs, which record runtime information of modern systems, are widely utilized by developers (and operators) in system development and maintenance. Due to the ever-increasing size logs, data mining models often adopted help extract behavior information. However, before feeding logs into models, need be parsed a log parser because their unstructured format. Although parsing has been studied recent years, users still unaware advantages different parsers nor impact them on subsequent tasks. Thus...

10.1109/dsn.2016.66 article EN 2016-06-01

The current study reveals the clinicopathological association of PD-L1 in Hong Kong esophageal squamous cell carcinoma (ESCC) patients and differential regulation by standard first-line chemotherapy ESCC. Immunohistochemical analysis tissue microarray data from 84 ESCC shows that was expressed 21% tumors. Positive staining significantly associated with later disease stage (stages III IV) (P value = .0379) lymph node metastasis .0466) cohort. Furthermore, expression induced lines after...

10.1016/j.tranon.2018.08.005 article EN cc-by-nc-nd Translational Oncology 2018-08-31

Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.

10.18653/v1/n19-1359 preprint EN 2019-01-01

Overexpression of the specialized DNA polymerase theta (POLQ) is frequent in breast, colon and lung cancers has been correlated with unfavorable clinical outcomes. Here, we aimed to determine importance functional role POLQ esophageal squamous cell carcinoma (ESCC). Integrated analysis four RNA-seq datasets showed was predominantly upregulated ESCC tumors. High expression also observed a cohort 25 Hong Kong patients negatively patient survival. knockout (KO) cells were sensitized multiple...

10.3390/cancers13133204 article EN Cancers 2021-06-26

Tripartite motif-containing 44 (TRIM44) was reported to be involved in the tumorigenesis of several tumors, but its function laryngeal squamous cell carcinoma has not been investigated yet. In present study, we aimed elucidate TRIM44 carcinoma, and identify compounds which could inhibit expression. Our results showed that upregulated tumor tissues lines carcinoma. Knockdown significantly inhibited growth by suppressing TLR4, phosphorylated AKT NF-κB p65 expression vitro. Moreover, knockdown...

10.1620/tjem.254.17 article EN The Tohoku Journal of Experimental Medicine 2021-01-01

Over the past decade, application of reinforcement learning (RL) in asset allocation and portfolio management has attracted much attention. However, most classical RL algorithms do not take risk into account, which may lead to treacherous trading decisions. In this paper, we propose a risk-averse method, named reward adjustment learning. Our method incorporates framework by adjusting with penalty obtained from GARCH model. This approach is generally easy implementation analysis when compared...

10.1109/ijcnn.2006.246728 article EN The 2006 IEEE International Joint Conference on Neural Network Proceedings 2006-01-01

Abstract As a key tumor suppressor, p53 plays crucial roles in gastric cancer initiation and progression. However, the underlying mechanisms for down-regulation of patients are not fully understood. Several tripartite motif (TRIM) family proteins identified to be involved tumorigenesis multiple types, but significance biological function new TRIM protein, TRIM59, terms whether how it affects signaling largely unknown. We analyzed microarray datasets from Oncomine database tested expression...

10.1158/1538-7445.am2014-473 article EN Cancer Research 2014-10-01
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