Robert Deng
researcher
Facts
5 properties- Instance of
- human
- Occupation
- researcher
- Award received
- IEEE Fellow[2]
🏷️ Also known as
en Robert Deng
en Robert H Deng
cs Robert H. Deng
🔖 Identifiers · 13
- ISNI
- 0000000047559953
- ORCID iD
- 0000-0003-3491-8146
- VIAF cluster ID
- 74780855
- GND ID
- 115350927X
- OpenAlex ID
- A5001712801, A5108211003, A5121244224, A5123736637, A5126676910, A5128716010, A5129455978, A5129863700, A5130339725, A5132582601, A5133079260, A5133258539, A5133751774, A5134028724, A5134387835, A5134684115, A5135662407, A5138128627, A5138255643, A5141207452as 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
- DBLP author ID
- d/RobertHDeng
- DDB person (GND) ID
- 115350927X
- Google Knowledge Graph ID
- /g/11c73dl05g
- IEEE Xplore author ID
- 37279369600, 37085865913
- NL CR AUT ID
- xx0034794
- NUKAT ID
- n2015093013
- National Library of Israel J9U ID
- 987007364522605171
Show all 13 identifiers +1
- Yale LUX ID
- person/533062cd-2f0f-466d-b88e-e784c2124a0b
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 53
A Closer Look Tells More,
Active Semi-supervised Approach for Checking App Behavior against Its Description,
A Deep Learning Framework Supporting Model Ownership Protection and Traitor Tracing,
Automatic Accident Detection and Alarm System,
Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing,
CASE-SSE: Context-Aware Semantically Extensible Searchable Symmetric Encryption for Encrypted Cloud Data,
Compressed Federated Learning Based on Adaptive Local Differential Privacy,
CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning
+45 more
← Authored by 53
A Closer Look Tells More,
Active Semi-supervised Approach for Checking App Behavior against Its Description,
A Deep Learning Framework Supporting Model Ownership Protection and Traitor Tracing,
Automatic Accident Detection and Alarm System,
Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing,
CASE-SSE: Context-Aware Semantically Extensible Searchable Symmetric Encryption for Encrypted Cloud Data,
Compressed Federated Learning Based on Adaptive Local Differential Privacy,
CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning
+45 more
Affiliated with 1
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