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Di Tang

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Zhejiang University of Technologyas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0003-4770-4788
OpenAlex ID
A5025881980, A5001158507, A5126655109, A5136315295as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application, A human monoclonal antibody bivalently binding two different epitopes in streptococcal M protein mediates immune function, A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization, Demon in the Variant: Statistical Analysis of {DNNs} for Robust Backdoor Contamination Detection, Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots, Fuzzy Phase Partition and Hybrid Modeling Based Quality Prediction and Process Monitoring Methods for Multiphase Batch Processes, Improved fault detection and diagnosis using sparse global-local preserving projections, Information cascades prediction with attention neural network +16 more
← Authored by 24
A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application, A human monoclonal antibody bivalently binding two different epitopes in streptococcal M protein mediates immune function, A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization, Demon in the Variant: Statistical Analysis of {DNNs} for Robust Backdoor Contamination Detection, Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots, Fuzzy Phase Partition and Hybrid Modeling Based Quality Prediction and Process Monitoring Methods for Multiphase Batch Processes, Improved fault detection and diagnosis using sparse global-local preserving projections, Information cascades prediction with attention neural network +16 more
Affiliated with 10
Indiana University Bloomington, Lund University, Shanghai Jiao Tong University, The Chinese University of Hong Kong, NetEase, Ministry of Public Security, Beijing Institute of Technology, Zhejiang University of Technology +2 more
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Summary

Di Tang is a human[1].

Related Entities

Beijing Institute of Technology Jiangsu University Shanghai Jiao Tong University The Chinese University of Hong Kong Zhejiang University of Technology

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Di Tang. Retrieved October 25, 2026, from https://4ort.xyz/entity/di-tang
MLA “Di Tang.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/di-tang.
BibTeX @misc{4ortxyz_di-tang_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Di Tang}}, year = {2026}, url = {https://4ort.xyz/entity/di-tang}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Di Tang — https://4ort.xyz/entity/di-tang (retrieved 2026-10-25)

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