Li Li

A REST Service Framework for Fine-Grained Resource Management in Container-Based Cloud

2015

Although many current Cloud computing platforms are still based on virtual machines running on hyper visors, there are two trends towards a more flexible and efficient Cloud computing paradigm. One trend is the Resource-as-a-Service (RaaS) …

Efficient Measurement of Multiparticle Entanglement with Embedding Quantum Simulator

2016 · Physical Review Letters

The quantum measurement of entanglement is a demanding task in the field of quantum information. Here, we report the direct and scalable measurement of multiparticle entanglement with embedding photonic quantum simulators. In this embedding framework …

Research on University English Teaching Based on CBI

2016

Content-based Instruction (CBI) approach which combines the language teaching with the content teaching is considered as an efficient teaching approach in university English teaching. It is necessary to summarize the experience and lessons seriously of …

Tree Packing for Elastic Machine Allocation in RaaS Cloud

2016

An Elastic Machine (EM) consists of networked fine-grained resources, such as CPU, memory, network and storage, dynamically composed from distributed resource pools offered by a RaaS (Resource-as-a-Service) cloud. EM allocation in RaaS clouds differs from …

Axle fault prognostics of electric multiple units based on improved Apriori algorithm

2017

To effectively reduce the occurrence rate of axle faults of electric multiple units (EMUs), in this study, classical Apriori algorithm is improved based on Apache Hadoop big data and applied to prediction studies of axle …

A Novel and Efficient Quantum Private Comparison Scheme

2019 · Journal of the Korean Physical Society

A quantum private comparison is a primitive protocol of secure multiparty quantum computation that enables two parties to privately decide whether x = y or not, given two integers x and y , that are …

Emergence of Classical Objectivity of Quantum Darwinism in a Photonic Quantum Simulator

2018 · arXiv (Cornell University)

Quantum-to-classical transition is a fundamental open question in physics frontier. Quantum decoherence theory points out that the inevitable interaction with environment is a sink carrying away quantum coherence, which is responsible for the suppression of …

Cloud Computing Data Center Structure Based on Internet of Things and Its Scheduling Mechanism

2020

With the rapid development of new generation information technologies such as cloud computing, Internet of Things and big data, the fourth generation data center based on cloud computing is also growing rapidly. Cloud computing provides …

Web Service Composition Optimization Based on Adaptive Mutant Beetle Swarm

2020 · Journal of Physics Conference Series

Abstract with the continuous development of cloud computing technology and big data, web services are widely used in intelligent information processing in all walks of life, when facing a large number of services with similar …

Quantum circuit optimization with deep reinforcement learning

2021 · arXiv (Cornell University)

A central aspect for operating future quantum computers is quantum circuit optimization, i.e., the search for efficient realizations of quantum algorithms given the device capabilities. In recent years, powerful approaches have been developed which focus …

FIFL: A Fair Incentive Mechanism for Federated Learning

2021

Federated learning is a novel machine learning framework that enables multiple devices to collaboratively train high-performance models while preserving data privacy. Federated learning is a kind of crowdsourcing computing, where a task publisher shares profit …

PolyFax: a toolkit for characterizing multi-language software

2022 · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Today’s software systems are mostly developed in multiple languages (i.e., multi-language software), yet tool support for understanding and assuring these systems is rare. To facilitate future research on multi-language software engineering, this paper presents PolyFax, …

PME: pruning-based multi-size embedding for recommender systems

2023 · Frontiers in Big Data

Embedding is widely used in recommendation models to learn feature representations. However, the traditional embedding technique that assigns a fixed size to all categorical features may be suboptimal due to the following reasons. In recommendation …

Gaussian Boson Sampling with Pseudo-Photon-Number-Resolving Detectors and Quantum Computational Advantage

2023 · Physical Review Letters

We report new Gaussian boson sampling experiments with pseudo-photon-number-resolving detection, which register up to 255 photon-click events. We consider partial photon distinguishability and develop a more complete model for the characterization of the noisy Gaussian …

Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training

2024 · arXiv (Cornell University)

This paper presents ProFL, a new framework that effectively addresses the memory constraints in FL. Rather than updating the full model during local training, ProFL partitions the model into blocks based on its original architecture …

Deep User Profile Construction and Behavior Prediction Based on Multimodal Heterogeneous Feature Fusion

2024

As the platform for users to express their personal opinions and thoughts, Online Social Networks (OSNs) serve as a primary channel for most individuals to receive social information. During social emergencies, the OSNs experience a …

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks

2024 · arXiv (Cornell University)

Federated learning (FL) coordinates multiple devices to collaboratively train a shared model while preserving data privacy. However, large memory footprint and high energy consumption during the training process excludes the low-end devices from contributing to …

CoT-Decoding: Complex Reasoning via Chain-of-Thought Decoding

2025 · Society for Industrial and Applied Mathematics eBooks

Complex reasoning is a challenging task. In recent years, Chain-of-Thought (CoT)-based reasoning methods have become a research hotspot. However, existing methods faced two limitations: first, they lacked fine-grained analysis at the step level of the …

Capsule: Efficient Player Isolation for Datacenters

2025 · ArXiv.org

We introduce Capsule, a mechanism for seamlessly sharing datacenter resources across multiple players. It decouples player-local and global states to achieve isolation and to maximize cross-player sharing. Our evaluations show that Capsule increases datacenter resource …

Toward Sociotechnical Awareness: Unpacking Generative AI Anxiety and Its Impact on Deep Engagement in the Post-Adoption Stage

2026 · International Journal of Human-Computer Interaction

Amid the accelerating diffusion of generative AI (GenAI), this study investigates generative AI anxiety and its impact on deep engagement in the post-adoption stage. Employing a sequential mixed-methods design in China from October to November …

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

2021 · arXiv (Cornell University)

Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code intelligence. Recently, many pre-trained language models for source code (e.g., …