Li Liu

Mass of on line innovative talent training mode for theory of probability and mathematical statistics teaching reform

2016

From the teaching content, teaching means and teaching design and teaching way four aspects of teaching reform of the course of the theory of probability and mathematical statistics, in-depth studies are pointed out that the …

A load balancing algorithm for virtual machines scheduling in cloud computing

2017

Virtualization technology forms a variety of resources pools in cloud computing so that resources can be allocated on demand for users, but it makes resources management and resources allocation more complex and difficult. In view …

MDS codes with Hermitian hulls of arbitrary dimensions and their quantum error correction.

2018 · arXiv (Cornell University)

The Hermitian hull of linear codes plays an important role in coding theory and quantum coding theory. In this paper, we first construct some infinite classes of MDS codes over finite field by considering generalized …

Unitary linear optical transformations in a reconfigurable platform

2020 · Frontiers in Optics / Laser Science

Applications across photonics require transformations of optical spatial modes. Utilizing a discrete set of phase masks and free space propagation, we experimentally demonstrate general transformations on a beam array.

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

2020 · arXiv (Cornell University)

Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pretrained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. …

Federated Graph Learning with Cross-subgraph Missing Links Recovery

2023

Federated Graph Learning (FGL) has been developed to enable multiple parties to collaboratively train a graph neural network while maintaining their local graph data. Despite its advantages, FGL is not immune to the issue of …

Multi-Objective Virtual Machine Placement Algorithm Based on Improved Discrete Differential Evolution

2023

Aiming at the problem of high energy consumption and resource fragmentation caused by unbalanced multidimensional resource usage of servers in current cloud data centers, a virtual machine placement algorithm based on improved discrete differential evolution(IDDE) …

Conformer Based End-to-End ASR System with a New Feature Fusion

2023

In recent years, the proliferation and refinement of neural networks have engendered pioneering advancements in several domains that rely on machine learning and deep learning techniques. Neural network technology has also brought about significant advancements …

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

2024 · arXiv (Cornell University)

As an emerging and vital topic for studying deep neural networks' vulnerability (DNNs), backdoor learning has attracted increasing interest in recent years, and many seminal backdoor attack and defense algorithms are being developed successively or …

Cooperative Game-based Intelligent Actions Making for Constrained Multi-agent System

2024 · IEEE Transactions on Artificial Intelligence

In this paper, an intelligent action-making model for constrained multi-agent systems (MAS) with cooperative games is proposed. This model aims to prevent system breakdowns triggered by the large number of agents, a prevalent dilemma in …

Some new QEC MDS codes with large minimum distance

2025 · Scientific Reports

The advancement of Quantum Error-Correcting (QEC) Maximum Distance Separable (MDS) codes holds substantial importance in practical applications, substantially augmenting the reliability and efficiency of quantum communication and computing. This paper introduces two new classes of …

Visual Representation Learning through Causal Intervention for Controllable Image Editing

2025

A key challenge for controllable image editing is that visual attributes with semantic meanings are not always independent, resulting in spurious correlations in model training. However, most existing methods ignore such issues, leading to biased …

Explicit C*-algebraic Protocol for Exact Universal Embezzlement of Entanglement

2025 · arXiv (Cornell University)

We present an explicit construction of a universal embezzlement protocol in the C*-algebraic model of quantum information, that is equivalent to the commuting operator model. Our protocol enables exact embezzlement of arbitrary bipartite pure states …