71 citations · 105 across the 11 of their papers we have counts for
12 papers
Dynamically encircling an exceptional point through phase-tracked closed-loop control
Sen Zhang, Yangyu Huang, Lei Yu +7
The intricate complex eigenvalues of non-Hermitian Hamiltonians manifest as Riemann surfaces in control parameter spaces. At the exceptional points (EPs), the degeneracy of both ei…
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Qihao Zhao, Yangyu Huang, Wei Hu +2
The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficien…
FreeEnricher: Enriching Face Landmarks without Additional Cost
Yangyu Huang, Xi Chen, Jongyoo Kim +4
Recent years have witnessed significant growth of face alignment. Though dense facial landmark is highly demanded in various scenarios, e.g., cosmetic medicine and facial beautific…
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng, Hao Yang, Ting Zhang +7
How to learn a universal facial representation that boosts all face analysis tasks? This paper takes one step toward this goal. In this paper, we study the transfer performance of…
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
Yangyu Huang, Hao Yang, Chong Li +2
The recent progress of CNN has dramatically improved face alignment performance. However, few works have paid attention to the error-bias with respect to error distribution of faci…
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…
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Wei Hu, Yangyu Huang, Fan Zhang +1
Benefit from large-scale training datasets, deep Convolutional Neural Networks(CNNs) have achieved impressive results in face recognition(FR). However, tremendous scale of datasets…