Jinhui Tang
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Nanjing Forestry University, Nanjing University of Science and Technology, Southeast Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9008-222X
- OpenAlex ID
- A5035112538, A5098121783, A5106038602, A5122849404, A5126611953, A5127811187, A5127890453, A5128320715, A5135019123, A5137587333as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 175
Accurate and Efficient Stereo Matching via Attention Concatenation Volume,
Adaptive Context Network for Scene Parsing,
A Deterministic Analysis for LRR,
ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection,
Adversarial Training Towards Robust Multimedia Recommender System,
Age progression: Current technologies and applications,
Alleviating Over-Fitting in Hashing-Based Fine-Grained Image Retrieval: From Causal Feature Learning to Binary-Injected Hash Learning,
A new method to evaluate features importance in machine-learning based prediction of concrete compressive strength
+167 more
← Authored by 175
Accurate and Efficient Stereo Matching via Attention Concatenation Volume,
Adaptive Context Network for Scene Parsing,
A Deterministic Analysis for LRR,
ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection,
Adversarial Training Towards Robust Multimedia Recommender System,
Age progression: Current technologies and applications,
Alleviating Over-Fitting in Hashing-Based Fine-Grained Image Retrieval: From Causal Feature Learning to Binary-Injected Hash Learning,
A new method to evaluate features importance in machine-learning based prediction of concrete compressive strength
+167 more
Affiliated with 8
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