Xueqi Cheng
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Florida State University, Chinese Academy of Sciences, State Administration of Work Safety, Institute of Computing Technology, Chinese Academy of Sciences, State Key Laboratory of Vehicle NVH and Safety Technologyas 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
- 0000-0002-5201-8195
- OpenAlex ID
- A5029998682, A5110849771, A5129774280, A5140849081as 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 130
Adapting Markov Decision Process for Search Result Diversification,
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations,
A Deep Look into neural ranking models for information retrieval,
Adversarial camouflage for node injection attack on graphs,
An ensemble method for job recommender systems,
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection,
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts,
An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification
+122 more
← Authored by 130
Adapting Markov Decision Process for Search Result Diversification,
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations,
A Deep Look into neural ranking models for information retrieval,
Adversarial camouflage for node injection attack on graphs,
An ensemble method for job recommender systems,
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection,
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts,
An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification
+122 more
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