Kevin J Guo MD 70 Bowery RM 308, New York, NY 10013 (212)9668488 (phone), (212)9668467 (fax)
Education:
Medical School Beijing Med Univ, Beijing City, Beijing, China Graduated: 1987
Procedures:
Cardiac Stress Test Continuous EKG Destruction of Benign/Premalignant Skin Lesions Electrocardiogram (EKG or ECG) Pulmonary Function Tests Vaccine Administration
Conditions:
Acute Conjunctivitis Acute Upper Respiratory Tract Infections Atherosclerosis Benign Paroxysmal Positional Vertigo Benign Polyps of the Colon
Languages:
Chinese English Spanish
Description:
Dr. Guo graduated from the Beijing Med Univ, Beijing City, Beijing, China in 1987. He works in New York, NY and specializes in Internal Medicine. Dr. Guo is affiliated with NYU Langone Medical Center.
Us Patents
Dating Bloodstains And Biological Fluids With Fluorescence Lifetime Techniques
Washington University - St. Louis MO, US Samuel Achilefu - St. Louis MO, US Kevin Guo - Chesterfield MO, US
Assignee:
Washington University - St. Louis MO
International Classification:
G01N 21/64
US Classification:
435 25, 436 86
Abstract:
Methods of aging biological samples through the use of fluorescence lifetime are disclosed herein. These methods provide aging of samples such as bloodstains using endogenous fluorophores and conformational protein changes. Advantageously, the methods provide the average fluorescence lifetime across a region of interest in a biological sample, thereby minimizing problems with sampling and providing accurate results.
Pattern Similarity Measures To Quantify Uncertainty In Malware Classification
- San Jose CA, US Rex Shang - Los Altos CA, US Kevin Guo - Milpitas CA, US Howie Xu - Palo Alto CA, US
International Classification:
G06K 9/62 G06F 21/56
Abstract:
Systems and methods include receiving content for classification; classifying the content as one of benign and malicious utilizing a model that has been trained with a training set of data including benign data and malicious data; determining a first pattern associated with the content; comparing the first pattern with a second pattern that is associated with one of the benign data and the malicious data; and determining an uncertainty of the classifying based on a distance between the first pattern and the second pattern. The systems and methods can include discarding the classification if the distance is greater than a configurable threshold.
Prudent Ensemble Models In Machine Learning With High Precision For Use In Network Security
- San Jose CA, US Rex Shang - Los Altos CA, US Kevin Guo - Milpitas CA, US Howie Xu - Palo Alto CA, US
International Classification:
G06N 20/20 G06F 21/55
Abstract:
Systems and methods include receiving a content item between a user device and a location on the Internet or an enterprise network; utilizing a trained machine learning ensemble model to determine whether the content item is malicious; responsive to the trained machine learning ensemble model determining the content item is malicious or determining the content item is benign but such determining is in a blind spot of the trained ensemble model, performing further processing on the content item; and, responsive to the trained machine learning ensemble model determining the content item is benign with such determination not in a blind spot of the trained machine learning ensemble model, allowing the content item. A blind spot is a location where the trained machine learning ensemble model has not seen any examples with a combination of features at the location or has examples with conflicting labels.
Embodiments of the present disclosure are related to electronic commerce within instant messaging. A system may include a commerce server and an instant messaging server. The instant messaging server is configured to support an instant messaging service with an instant messaging client. The instant messaging server may include an application for supporting further communication in the instant messaging service between the instant messaging client and the commerce server. The method includes first instant messaging a query to an instant messaging client and receiving a response to the query at an application at an instant messaging server. The method further includes second instant messaging query results to the instant messaging client with the query results determined at a commerce server and based on the response.
Embodiments of the present disclosure are related to electronic commerce within instant messaging. A system may include a commerce server and an instant messaging server. The instant messaging server is configured to support an instant messaging service with an instant messaging client. The instant messaging server may include an application for supporting further communication in the instant messaging service between the instant messaging client and the commerce server. The method includes first instant messaging a query to an instant messaging client and receiving a response to the query at an application at an instant messaging server. The method further includes second instant messaging query results to the instant messaging client with the query results determined at a commerce server and based on the response.
In the short term, lots of platforms will find it difficult to transit their business, said Dianrong.coms co-founder and co-CEO Kevin Guo. The impact will be obvious and large within a year, as many firms will withdraw from the industry due to this rule.