Huan Liu
E356905
Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Huan Liu canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425616 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huan Liu Context triple: [SIGKDD Innovation Award, notableRecipient, Huan Liu]
-
A.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
B.
Wei Liu
Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
-
C.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
D.
Jun-Yan Zhu
Jun-Yan Zhu is a computer scientist and researcher known for his influential work in computer vision and generative models, particularly in image-to-image translation.
-
E.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huan Liu Target entity description: Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
-
A.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
B.
Wei Liu
Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
-
C.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
D.
Jun-Yan Zhu
Jun-Yan Zhu is a computer scientist and researcher known for his influential work in computer vision and generative models, particularly in image-to-image translation.
-
E.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | School of Computing and Augmented Intelligence at Arizona State University ⓘ |
| awardReceived |
AAAS Fellow
ⓘ
ACM Distinguished Scientist ⓘ
linked to:
ACM Distinguished Member
ACM Fellow ⓘ IEEE Fellow ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| educatedAt |
Shanghai Jiao Tong University
ⓘ
University of Southern California ⓘ |
| employer | Arizona State University ⓘ |
| fieldOfWork |
computer science
ⓘ
data mining ⓘ data science ⓘ feature selection ⓘ machine learning ⓘ social computing ⓘ social media analytics ⓘ |
| hasAcademicDiscipline |
artificial intelligence
ⓘ
information retrieval ⓘ knowledge discovery in databases ⓘ |
| hasRole |
conference organizer
ⓘ
editor of scientific journals ⓘ program committee member of major data mining conferences ⓘ |
| knownFor |
feature selection in data mining
ⓘ
high-dimensional data analysis ⓘ social media data analytics ⓘ social network analysis ⓘ text mining ⓘ |
| languageSpoken |
Chinese
ⓘ
English ⓘ |
| memberOf |
Association for Computing Machinery
ⓘ
Institute of Electrical and Electronics Engineers ⓘ |
| notableWork |
feature selection algorithms for high-dimensional data
ⓘ
research on social media user behavior modeling ⓘ work on social network feature engineering ⓘ |
| positionHeld |
Full Professor at Arizona State University
ⓘ
Professor ⓘ |
| researchInterest |
big data analytics
ⓘ
dimensionality reduction ⓘ feature engineering ⓘ interpretable machine learning ⓘ social media mining ⓘ trust and influence in social networks ⓘ user modeling ⓘ |
| workLocation |
Tempe, Arizona
ⓘ
linked to:
Tempe, Arizona, USA
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Huan Liu Description of subject: Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.