Taotao Wang

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Shenzhen University ∙ The Chinese University of Hong Kong

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Speeding up Block Propagation in Blockchain Network: Uncoded and Coded Designs

We design and validate new block propagation protocols for the peer-to-p...
01/02/2021 ∙ by Lihao Zhang, et al. ∙ 0 ∙ share

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Ethna: Analyzing the Underlying Peer-to-Peer Network of the Ethereum Blockchain

As the communication infrastructure of the blockchain system, the underl...
10/03/2020 ∙ by Taotao Wang, et al. ∙ 0 ∙ share

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When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Motivated by the advancing computational capabilities of wireless end us...
09/20/2020 ∙ by Chuan Ma, et al. ∙ 0 ∙ share

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Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks with Imperfect Channels

This paper investigates a futuristic spectrum sharing paradigm for heter...
03/25/2020 ∙ by Yiding Yu, et al. ∙ 0 ∙ share

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When Blockchain Meets AI: Optimal Mining Strategy Achieved By Machine Learning

This work applies reinforcement learning (RL) from the AI machine learni...
11/29/2019 ∙ by Taotao Wang, et al. ∙ 0 ∙ share

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Game-Theoretic Analysis of Mining Strategy in Bitcoin-NG Blockchain Protocol

Bitcoin-NG, a scalable blockchain protocol, divides each block into a ke...
11/03/2019 ∙ by Taotao Wang, et al. ∙ 0 ∙ share

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Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks

This paper investigates a new class of carrier-sense multiple access (CS...
10/11/2019 ∙ by Yiding Yu, et al. ∙ 0 ∙ share

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PubChain: A Decentralized Open-Access Publication Platform with Participants Incentivized by Blockchain Technology

We design and implement Publication Chain (PubChain), a decentralized op...
10/01/2019 ∙ by Taotao Wang, et al. ∙ 0 ∙ share

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Deep Learning for Joint MIMO Detection and Channel Decoding

We propose a deep-learning approach for the joint MIMO detection and cha...
01/17/2019 ∙ by Taotao Wang, et al. ∙ 0 ∙ share

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Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning

This paper investigates a new class of carrier-sense multiple access (CS...
10/16/2018 ∙ by Yiding Yu, et al. ∙ 0 ∙ share

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AlphaSeq: Sequence Discovery with Deep Reinforcement Learning

Sequences play an important role in many applications and systems. Disco...
09/26/2018 ∙ by Yulin Shao, et al. ∙ 0 ∙ share

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Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks

This paper investigates the use of deep reinforcement learning (DRL) in ...
12/01/2017 ∙ by Yiding Yu, et al. ∙ 0 ∙ share

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