papers

Publications (28)

eess.IV2020

Video compression with low complexity CNN-based spatial resolution adaptation

Di Ma, Fan Zhang, David R. Bull

It has recently been demonstrated that spatial resolution adaptation can be integrated within video compression to improve overall coding performance by spatially down-sampling bef…

cs.CR2013

Tap-Wave-Rub: Lightweight Malware Prevention for Smartphones Using Intuitive Human Gestures

Haoyu Li, Di Ma, Nitesh Saxena +2

In this paper, we introduce a lightweight permission enforcement approach - Tap-Wave-Rub (TWR) - for smartphone malware prevention. TWR is based on simple human gestures that are v…

cs.RO2025

SLC-SLAM: Semantic-guided Loop Closure using Shared Latent Code for NeRF SLAM

Yuhang Ming, Di Ma, Weichen Dai +4

Targeting the notorious cumulative drift errors in NeRF SLAM, we propose a Semantic-guided Loop Closure using Shared Latent Code, dubbed SLC-SLAM. We argue that latent codes st…

eess.IV2021

Video Compression with CNN-based Post Processing

Fan Zhang, Di Ma, Chen Feng +1

In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content. Among va…

cs.CV2018

Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask

Xi Zhang, Di Ma, Xu Ouyang +3

Using a layered representation for motion estimation has the advantage of being able to cope with discontinuities and occlusions. In this paper, we learn to estimate optical flow b…

quant-ph2024

Independent Optical Frequency Combs Powered 546 km Field Test of Twin-Field Quantum Key Distribution

Lai Zhou, Jinping Lin, Chengfang Ge +11

Owing to its repeater-like rate-loss scaling, twin-field quantum key distribution (TF-QKD) has repeatedly exhibited in laboratory its superiority for secure communication over reco…

math.AP2023

A class of generalized fully nonlinear curvature flows and its applications

Jinrong Hu, Jiaqian Liu, Di Ma +1

In this paper, we concern a generalized fully nonlinear curvature flow involving -th elementary symmetric function for principal curvature radii in Eulidean space $\rnnn$, i…

eess.IV2021

A Subjective Study on Videos at Various Bit Depths

Alex Mackin, Di Ma, Fan Zhang +1

Bit depth adaptation, where the bit depth of a video sequence is reduced before transmission and up-sampled during display, can potentially reduce data rates with limited impact on…

eess.IV2020

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

Di Ma, Fan Zhang, David R. Bull

We propose a new Generative Adversarial Network for Compressed Video quality Enhancement (CVEGAN). The CVEGAN generator benefits from the use of a novel Mul2Res block (with multipl…

quant-ph2023

1002 km Twin-Field Quantum Key Distribution with Finite-Key Analysis

Yang Liu, Wei-Jun Zhang, Cong Jiang +16

Quantum key distribution (QKD) holds the potential to establish secure keys over long distances. The distance of point-to-point QKD secure key distribution is primarily impeded by…

eess.IV2021

Perceptually-inspired super-resolution of compressed videos

Di Ma, Mariana Afonso, Fan Zhang +1

Spatial resolution adaptation is a technique which has often been employed in video compression to enhance coding efficiency. This approach encodes a lower resolution version of th…

quant-ph2026

1-Mbps Twin-Field Quantum Key Distribution over 200 km Using Independent Dissipative Kerr Solitons

Hao Dong, Tian-Jiao Zhang, Yan-Wei Chen +10

Twin-field quantum key distribution (TF-QKD) dramatically enhances the secure key rate (SKR) over inter-city distances through its square-root scaling. Further improvements in aggr…

quant-ph2023

Experimental Twin-Field Quantum Key Distribution Over 1000 km Fiber Distance

Yang Liu, Wei-Jun Zhang, Cong Jiang +15

Quantum key distribution (QKD) aims to generate secure private keys shared by two remote parties. With its security being protected by principles of quantum mechanics, some technol…

math.AP2023

A flow method to the Orlicz-Aleksandrov problem

Jinrong Hu, Jiaqian Liu, Di Ma

In this paper, we obtain the existence result of smooth solutions to the Orlicz-Aleksandrov problem from the perspective of geometric flow. Furthermore, a special uniqueness result…

eess.IV2020

MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering

Di Ma, Fan Zhang, David R. Bull

In this paper, we propose a novel convolutional neural network (CNN) architecture, MFRNet, for post-processing (PP) and in-loop filtering (ILF) in the context of video compression.…

cs.CV2017

Lecture video indexing using boosted margin maximizing neural networks

Di Ma, Xi Zhang, Xu Ouyang +1

This paper presents a novel approach for lecture video indexing using a boosted deep convolutional neural network system. The indexing is performed by matching high quality slide i…

cond-mat.mes-hall2024

Moiré semiconductors on twisted bilayer dice lattice

Di Ma, Yu-Ge Chen, Yue Yu +1

We propose an effective lattice model for the moiré structure of the twisted bilayer dice lattice. In the chiral limit, we find that there are flat bands at the zero-energy level…

math.AP2023

On the initial-boundary value problem of two-phase incompressible flows with variable density in smooth bounded domain

Ning Jiang, Yi-Long Luo, Di Ma

In this work, we study the so-called Allen-Cahn-Navier-Stokes equations, a diffuse-interface model for two-phase incompressible flows with different densities. We first prove the l…

cs.CV2018

Generating Image Sequence from Description with LSTM Conditional GAN

Xu Ouyang, Xi Zhang, Di Ma +1

Generating images from word descriptions is a challenging task. Generative adversarial networks(GANs) are shown to be able to generate realistic images of real-life objects. In thi…

cs.DC2024

A Hybrid Vectorized Merge Sort on ARM NEON

Jincheng Zhou, Jin Zhang, Xiang Zhang +3

Sorting algorithms are the most extensively researched topics in computer science and serve for numerous practical applications. Although various sorts have been proposed for effic…

stat.AP2025

Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis

Jingyao Sun, Qilu Zhang, Di Ma +9

Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encoun…

cs.DC2024

Fine-Grained Vectorized Merge Sorting on RISC-V: From Register to Cache

Jin Zhang, Jincheng Zhou, Xiang Zhang +2

Merge sort as a divide-sort-merge paradigm has been widely applied in computer science fields. As modern reduced instruction set computing architectures like the fifth generation (…

cs.LG2016

CGMOS: Certainty Guided Minority OverSampling

Xi Zhang, Di Ma, Lin Gan +2

Handling imbalanced datasets is a challenging problem that if not treated correctly results in reduced classification performance. Imbalanced datasets are commonly handled using mi…

quant-ph2025

Experimental Multi-Dimensional Side-Channel-Secure Quantum Key Distribution

Hao Dong, Cong Jiang, Di Ma +8

Quantum key distribution (QKD) theoretically provides unconditional security between remote parties. However, guaranteeing practical security through device characterisation alone…

quant-ph2021

Simple Quantum Key Distribution using a Stable Transmitter-Receiver Scheme

Di Ma, Xin Liu, Chunfeng Huang +3

Quantum Key Distribution (QKD) is a technology that allows secure key exchange between two distant users. A widespread adoption of QKD requires the development of simple, low-cost,…

eess.IV2020

BVI-DVC: A Training Database for Deep Video Compression

Di Ma, Fan Zhang, David R. Bull

Deep learning methods are increasingly being applied in the optimisation of video compression algorithms and can achieve significantly enhanced coding gains, compared to convention…

cs.CR2024

The Hybrid ROA: A Flexible and Scalable Encoding Scheme for Route Origin Authorization

Yanbiao Li, Hui Zou, Yuxuan Chen +5

On top of the Resource Public Key Infrastructure (RPKI), the Route Origin Authorization (ROA) creates a cryptographically verifiable binding of an autonomous system to a set of IP…

cs.SI2019

Understanding the Political Ideology of Legislators from Social Media Images

Nan Xi, Di Ma, Marcus Liou +3

In this paper, we seek to understand how politicians use images to express ideological rhetoric through Facebook images posted by members of the U.S. House and Senate. In the era o…