Shiheng Ma

Orcid: 0000-0001-6025-9194

According to our database1, Shiheng Ma authored at least 14 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario.
CoRR, 2023

2020
A Cyclic Game for Service-Oriented Resource Allocation in Edge Computing.
IEEE Trans. Serv. Comput., 2020

Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation.
IEEE Internet Things J., 2020

Dual-view Attention Networks for Single Image Super-Resolution.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution.
CoRR, 2019

Position-Aware Convolutional Networks for Traffic Prediction.
CoRR, 2019

A Cyclic Game for Joint Cooperation and Competition of Edge Resource Allocation.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Service Demand Prediction with Incomplete Historical Data.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Queueing Analysis of the Opportunistic Vehicle-to-Vehicle Communication.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Jointly Modeling Structural and Textual Representation for Knowledge Graph Completion in Zero-Shot Scenario.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Detect and Prevent SIP Flooding Attacks in VoLTE by Utilizing a Two-Tier PFilter Design.
IEICE Trans. Inf. Syst., 2017

Detect SIP Flooding Attacks in VoLTE by Utilizing and Compressing Counting Bloom Filter.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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