Yang Wang

Mining High Utility Itemsets over Uncertain Databases

2015

Recently, with the growing popularity of Internet of Things (IoT) and pervasive computing, a large amount of uncertain data, i.e. RFID data, sensor data, real-time monitoring data, etc., has been collected. As one of the …

Finite-key analysis of a practical decoy-state high-dimensional quantum key distribution

2016 · Journal of Physics A Mathematical and Theoretical

Compared with two-level quantum key distribution (QKD), high-dimensional QKD enables two distant parties to share a secret key at a higher rate. We provide a finite-key security analysis for the recently proposed practical high-dimensional decoy-state …

Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm

2018 · arXiv (Cornell University)

Although click data is widely used in search systems in practice, so far the inherent bias, most notably position bias, has prevented it from being used in training of a ranker for search, i.e., learning-to-rank. …

On variable selection in matrix mixture modelling

2020 · Stat

Summary Finite mixture models are widely used for cluster analysis, including clustering matrix data. Nowadays, high‐dimensional matrix observations arise in a variety of fields. It is known that irrelevant variables can severely affect the performance …

Generation of multi-channel chaotic signals with time delay signature concealment and ultrafast photonic decision making based on a globally-coupled semiconductor laser network

2020 · Photonics Research

We propose and demonstrate experimentally and numerically a network of three globally coupled semiconductor lasers (SLs) that generate triple-channel chaotic signals with time delayed signature (TDS) concealment. The effects of the coupling strength and bias …

MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections

2020

Dictionary learning (DL) is powerful for representation learning, while it fails to capture the deep hierarchical information hidden in data. In this paper, we propose a new generalized end-to-end mulita-layer representation learning architecture referred to …

Design of Automatic Russian Language Recognition System

2022

Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network …

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

2023 · IEEE Transactions on Circuits and Systems for Video Technology

Multi-label image recognition aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image contents and labels, and further obtain …

Analysis of College Student’s Health and Common Diseases Based on Differences in Outpatient Medication

2023 · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research

This study aimed to analyze the physical health and common diseases of college students through medication in the outpatient department of the Chenggong Campus of Yunnan Normal University, and support the hospital to better serve …

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

2023 · arXiv (Cornell University)

This paper explores the open research problem of understanding the social behaviors of LLM-based agents. Using Avalon as a testbed, we employ system prompts to guide LLM agents in gameplay. While previous studies have touched …

Finite-Time Controller Design for Continuous-Time T–S Fuzzy Systems With Partly Measurable Premise Variables

2024

The research presented in this paper delves into the finite-time control problem of Takagi-Sugeno (T-S) fuzzy systems with partly measurable premise variables. Firstly, through the application of the H∞analysis technique and the local stabilization analysis …

Reference-frame-independent quantum key distribution with two-way classical communication

2024 · Chinese Physics B

Abstract The data post-processing scheme based on two-way classical communication (TWCC) can improve the tolerable bit error rate and extend the maximal transmission distance when used in a quantum key distribution (QKD) system. In this …

Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations

2024

Training model-free intelligent agents in complex real-world scenarios using reinforcement learning (RL) often necessitates simulation-based environments due to high physical expenses. However, when simulation takes a long time, e.g., in an unsteady 3D fluid simulation …

Hybrid Multi-Modal Recommendation System: Integrating MMOE and XGBoost for Enhanced Personalization and Accuracy

2024

In the field of computer vision, 6D object detection and pose estimation are critical for applications such as robotics, augmented reality, and autonomous driving. Traditional methods often struggle with achieving high accuracy in both object …

A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder

2025 · Energies

Deep learning has become a widely used approach in photovoltaic (PV) power generation forecasting due to its strong self-learning and parameter optimization capabilities. In this study, we apply a deep learning algorithm, known as the …

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

2025 · arXiv (Cornell University)

Discovering regularities from spatiotemporal systems can benefit various scientific and social planning. Current spatiotemporal learners usually train an independent model from a specific source data that leads to limited transferability among sources, where even correlated …

Flexible and Creative Chinese Poetry Generation Using Neural Memory

2017

Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2017.