71 citations · 105 across the 11 of their papers we have counts for
6 papers · 1 filter
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Wei Hu, QiHao Zhao, Yangyu Huang +1
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this…
A Adversary Power Resistant Blockchain Sharding Approach
Yibin Xu, Jianhua Shao, Yangyu Huang +2
Blockchain Sharding is a blockchain performance enhancement approach. By splitting a blockchain into several parallel-run committees (shards), it helps increase transaction through…
A Flexible n/2 Adversary Node Resistant and Halting Recoverable Blockchain Sharding Protocol
Yibin Xu, Yangyu Huang, Jianhua Shao +1
Blockchain sharding is a promising approach to solving the dilemma between decentralisation and high performance (transaction throughput) for blockchain. The main challenge of Bloc…
Segment blockchain: A size reduced storage mechanism for blockchain
Yibin Xu, Yangyu Huang
The exponential growth of the blockchain size has become a major contributing factor that hinders the decentralisation of blockchain and its potential implementations in data-heavy…
Contract-connection:An efficient communication protocol for Distributed Ledger Technology
Yibin Xu, Yangyu Huang
Distributed Ledger Technology (DLT) is promising to become the foundation of many decentralised systems. However, the unbalanced and unregulated network layout contributes to the i…
An n/2 Byzantine node tolerate Blockchain Sharding approach
Yibin Xu, Yangyu Huang
Traditional Blockchain Sharding approaches can only tolerate up to n/3 of nodes being adversary because they rely on the hypergeometric distribution to make a failure (an adversary…