Zheng Wang

Orcid: 0000-0003-4516-5485

Affiliations:
  • University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao, China
  • University of Science and Technology Beijing, Department of Computer Science and Technology, Beijing, China
  • Tsinghua University, School of Software, Beijing, China (PhD 2018)


According to our database1, Zheng Wang authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
rLLM: Relational Table Learning with LLMs.
CoRR, 2024

BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2021
Network Embedding With Completely-Imbalanced Labels.
IEEE Trans. Knowl. Data Eng., 2021

Zero-Shot Feature Selection via Transferring Supervised Knowledge.
Int. J. Data Warehous. Min., 2021

Zero-shot Node Classification with Decomposed Graph Prototype Network.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Expanding Semantic Knowledge for Zero-Shot Graph Embedding.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Edge2vec: Edge-based Social Network Embedding.
ACM Trans. Knowl. Discov. Data, 2020

Extending LINE for Network Embedding With Completely Imbalanced Labels.
Int. J. Data Warehous. Min., 2020

SOLAR: Fusing Node Embeddings and Attributes into an Arbitrary Space.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding.
IEEE Trans. Knowl. Data Eng., 2019

Feature Selection via Transferring Knowledge Across Different Classes.
ACM Trans. Knowl. Discov. Data, 2019

Zero-shot Feature Selection via Exploiting Semantic Knowledge.
CoRR, 2019

DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Test4Deep: an Effective White-Box Testing for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Equivalence between LINE and Matrix Factorization.
CoRR, 2017

Multiple Source Detection without Knowing the Underlying Propagation Model.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Causality Based Propagation History Ranking in Social Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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