Ruiyu Wang

Orcid: 0000-0002-0242-1488

According to our database1, Ruiyu Wang authored at least 24 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Insight Into Voting in DAOs: Conceptual Analysis and a Proposal for Evaluation Framework.
IEEE Netw., May, 2024

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models.
CoRR, 2024

Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies.
CoRR, 2024

Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch.
CoRR, 2024

Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena.
CoRR, 2024

2023
RealCraft: Attention Control as A Solution for Zero-shot Long Video Editing.
CoRR, 2023

Large Language Models on Lexical Semantic Change Detection: An Evaluation.
CoRR, 2023

UniPredict: Large Language Models are Universal Tabular Predictors.
CoRR, 2023

Video Transformers under Occlusion: How Physics and Background Attributes Impact Large Models for Robotic Manipulation.
CoRR, 2023

Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning.
CoRR, 2023

Intelligent Beam Management for Millimeter-Wave Cellular Networks in IoT System.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

A Blockchain-based Data Sharing Marketplace with a Federated Learning Use Case.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022
An Automated Learning Framework With Limited and Cross-Domain Data for Traffic Equipment Detection From Surveillance Videos.
IEEE Trans. Intell. Transp. Syst., 2022

DISTERNING: Distance Estimation Using Machine Learning Approach for COVID-19 Contact Tracing and Beyond.
IEEE J. Sel. Areas Commun., 2022

A Game-Theoretic Perspective of Generalization in Reinforcement Learning.
CoRR, 2022

Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent.
Proceedings of the International Joint Conference on Neural Networks, 2022

Clustered Hierarchical Distributed Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Deep Learning Enabled Beam Tracking for Non-Line of Sight Millimeter Wave Communications.
IEEE Open J. Commun. Soc., 2021

2020
SCERPA: A Self-Consistent Algorithm for the Evaluation of the Information Propagation in Molecular Field-Coupled Nanocomputing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019
Reinforcement Learning Method for Beam Management in Millimeter-Wave Networks.
Proceedings of the UK/China Emerging Technologies, 2019

2017
ANALYSIS AND MODULATION OF MOLECULAR QUANTUM-DOT CELLULAR AUTOMATA (QCA) DEVICES.
PhD thesis, 2017

2015
Process Variability and Electrostatic Analysis of Molecular QCA.
ACM J. Emerg. Technol. Comput. Syst., 2015

2014
Understanding a Bisferrocene Molecular QCA Wire.
Proceedings of the Field-Coupled Nanocomputing - Paradigms, Progress, and Perspectives, 2014

2013
Charge distribution in a molecular QCA wire based on bis-ferrocene molecules.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013


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