Jian Sun
E370862
Chinese scientist
computer vision researcher
deep neural network architecture
person
scientific paper
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jian Sun canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T3542953 — 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: Jian Sun Context triple: [ResNet, developedBy, Jian Sun]
-
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.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
C.
Shaobo Qin
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
-
D.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
E.
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.
- 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: Jian Sun Target entity description: Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
-
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.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
C.
Shaobo Qin
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
-
D.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
E.
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.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
Chinese scientist
ⓘ
computer vision researcher ⓘ deep neural network architecture ⓘ person ⓘ scientific paper ⓘ |
| affiliation | Microsoft Research Asia ⓘ |
| author | Jian Sun ⓘ |
| coAuthorOf |
Deep Residual Learning for Image Recognition
ⓘ
linked to:
ResNet
|
| coAuthorWith |
Kaiming He
ⓘ
Shaoqing Ren ⓘ Xiangyu Zhang ⓘ |
| countryOfCitizenship | China ⓘ |
| developer | Jian Sun ⓘ |
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ |
| hasEmployer | Microsoft Research Asia ⓘ |
| knownFor |
deep residual networks
ⓘ
image recognition research ⓘ object detection research ⓘ |
| notableFor | influential work in deep learning for vision ⓘ |
| notablePublication |
Deep Residual Learning for Image Recognition
ⓘ
linked to:
ResNet
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks ⓘ
linked to:
FasterRCNN
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition ⓘ |
| notableWork | ResNet ⓘ |
| occupation | computer scientist ⓘ |
| researchInterest |
convolutional neural networks
ⓘ
deep residual learning ⓘ image classification ⓘ object detection ⓘ |
| workLocation | Beijing ⓘ |
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: Jian Sun Description of subject: Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.