Hao Li

Single photon detector with high polarization sensitivity

2015 · Scientific Reports

Polarization is one of the key parameters of light. Most optical detectors are intensity detectors that are insensitive to the polarization of light. A superconducting nanowire single photon detector (SNSPD) is naturally sensitive to polarization …

Personalized Ranking Point of Interest Recommendation Based on Spatial-Temporal Distance Metric in LBSNs

2019

Nowadays, with the improvement of social network check-in and positioning technology, the positioning information is more accurate, and a large amount of network check-in data is generated. The recommendation research of interest points based on …

Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering

2019

Fuzzy clustering algorithm based on multiobjective optimization can achieve accurate and comprehensive clustering results. However, the estimation of objective values for this multiobjective optimization problem (MOP) might be expensive. Offspring's selection driven by simple evaluation …

Learning Explicit and Implicit Structures for Targeted Sentiment Analysis

2019

Targeted sentiment analysis is the task of jointly predicting target entities and their associated sentiment information. Existing research efforts mostly regard this joint task as a sequence labeling problem, building models that can capture explicit …

An entanglement-based quantum network based on symmetric dispersive optics quantum key distribution

2019 · arXiv (Cornell University)

Quantum key distribution (QKD) is a crucial technology for information security in the future. Developing simple and efficient ways to establish QKD among multiple users are important to extend the applications of QKD in communication …

Multi-source Data Multi-task Learning for Profiling Players in Online Games

2020 · 2020 IEEE Conference on Games (CoG)

Profiling game players, especially potential churn and payment prediction, is of paramount importance for online games to improve the product design and the revenue. However, current solutions view either churn or payment prediction as an …

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

2020 · arXiv (Cornell University)

Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial for visual representation. This paper presents heterogeneous contrastive learning (HCL), an effective approach …

Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

2022 · Advances in Science Technology and Engineering Systems Journal

Using Proofs of Retrievability (PORs), a file owner is able to check that a cloud server correctly stores her files. Using Proofs of Retrievability and Reliability (PORRs), she can even verify at the same time …

Hyper-parameter Tuning of Federated Learning Based on Particle Swarm Optimization

2021

The learning task of federated learning (FL) is solved by a federation of a center server and individual clients. Contrary to traditional deep learning models, federated learning consists of two parts, the global model and …

PMAL: Open Set Recognition via Robust Prototype Mining

2022 · Proceedings of the AAAI Conference on Artificial Intelligence

Open Set Recognition (OSR) has been an emerging topic. Besides recognizing predefined classes, the system needs to reject the unknowns. Prototype learning is a potential manner to handle the problem, as its ability to improve …

Observation of critical phase transition in a generalized Aubry-André-Harper model on a superconducting quantum processor with tunable couplers

2022 · arXiv (Cornell University)

Quantum simulation enables study of many-body systems in non-equilibrium by mapping to a controllable quantum system, providing a new tool for computational intractable problems. Here, using a programmable quantum processor with a chain of 10 …

Efficient Graph-Based Active Learning with Probit Likelihood via\n Gaussian Approximations

2020 · arXiv (Cornell University)

We present a novel adaptation of active learning to graph-based\nsemi-supervised learning (SSL) under non-Gaussian Bayesian models. We present\nan approximation of non-Gaussian distributions to adapt previously\nGaussian-based acquisition functions to these more general cases. We develop an\nefficient …

Quantum and Classical Query Complexities for Generalized Simon's Problem

2019 · arXiv (Cornell University)

Simon's problem is an essential example demonstrating the faster speed of quantum computers than classical computers for solving some problems. The optimal separation between exact quantum and classical query complexities for Simon's problem has been …

Optimizing the performance of the neural network by using a mini dataset processing method

2022 · Research Square

Abstract Data processing is one of the essential methods to optimize the performance of neural networks. In this paper, we give up the traditional data processing method and propose a method to optimize the deep …

Research on Office Automation System Based on Computer Big Data

2023

In this paper, three open-source frameworks Struts, Spring and Hibernate are reasonably integrated together to build a general J2EE office automation system with the advantages of short development cycle, low development cost, loose coupling, easy …

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 …

Non-contact voltage measurement technology based on dual coupling mechanism displacement current method

2023

The distribution network is located in a complex environment, and the installation height of the line and the time-varying parameters of the surrounding medium all cause changes in the capacitance to the ground, which is …

Correlated noise enhancement of coherence and fidelity in coupled qubits

2024 · The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics

It is generally assumed that environmental noise arising from thermal fluctuations are detrimental to preserving coherence and entanglement in a quantum system. In the simplest sense, dephasing and decoherence are tied to energy fluctuations driven …

Auxiliary Information Enhanced Multi-Task Recommendation for Tourist Attractions

2024

Attraction recommendation systems can help tourists filter irrelevant information, improve the accuracy of recommendations and tourists' satisfaction, and explore potential business opportunities for merchants. However, the existing attraction recommendation systems focus on utilizing the interaction …

PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound

2024 · arXiv (Cornell University)

Placenta volume measured from 3D ultrasound (3DUS) images is an important tool for tracking the growth trajectory and is associated with pregnancy outcomes. Manual segmentation is the gold standard, but it is time-consuming and subjective. …

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak

2024 · arXiv (Cornell University)

Large Language Models (LLMs) are susceptible to generating harmful content when prompted with carefully crafted inputs, a vulnerability known as LLM jailbreaking. As LLMs become more powerful, studying jailbreak methods is critical to enhancing security …

Research and Application of Software Reuse Identification Method Based on Code Similarity Analysis

2024

Software reuse techniques have become a pervasive research hotspot in today's software engineering field. The most researched and widely applied is combinatorial technology, which is software reuse technology based on artifacts. The construction and identification …

Deep anomaly detection for time series: A survey

2025 · Computer Science Review

The cyberspace environment has evolved into a complex ecosystem, generating vast amounts of diverse time series data from various devices, systems, and software. Detecting anomalies in these massive, multi-source datasets is critical for ensuring system …

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment

2025 · arXiv (Cornell University)

With rapid advancement and increasing accessibility of LLMs, fine-tuning aligned models has become a critical step for adapting them to real-world applications, which makes the safety of this fine-tuning process more important than ever. However, …

Statistical-driven adaptive data augmentation for single-domain generalized object detection

2026 · Computer Vision and Image Understanding

In the context of single-source domain generalized object detection, the diversification of the source domain is of paramount importance, as it significantly influences the model’s generalization ability across different target domains. Existing data augmentation strategies …

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

2017 · arXiv (Cornell University)

Machine comprehension(MC) style question answering is a representative problem in natural language processing. Previous methods rarely spend time on the improvement of encoding layer, especially the embedding of syntactic information and name entity of the …

What to Do Next: Modeling User Behaviors by Time-LSTM

2017

Recently, Recurrent Neural Network (RNN) solutions for recommender systems (RS) are becoming increasingly popular. The insight is that, there exist some intrinsic patterns in the sequence of users' actions, and RNN has been proved to …