Gang Wang

Reinforcement Learning for Learning Rate Control

2017 · arXiv (Cornell University)

Stochastic gradient descent (SGD), which updates the model parameters by adding a local gradient times a learning rate at each step, is widely used in model training of machine learning algorithms such as neural networks. …

A universal compression strategy using sorting transformation

2019 · International Journal of Computational Science and Engineering

Although traditional universal compression algorithms can effectively utilise repetition located in a slide window, they cannot take their own advantages for some message source in which similar messages are distributed uniformly. In this paper, we …

Research on University’s Cyber Threat Intelligence Sharing Platform Based on New Types of STIX and TAXII Standards

2019 · Journal of Information Security

With the systematization of cyber threats, the variety of intrusion tools and intrusion methods has greatly reduced the cost of attackers’ threats to network security. Due to a large number of colleges and universities, teachers …

Security Certification in Payment Card Industry

2019

The massive payment card industry (PCI) involves various entities such as merchants, issuer banks, acquirer banks, and card brands. Ensuring security for all entities that process payment card information is a challenging task. The PCI …

Dual Sequence Transformer for Query-based Interactive Recommendation

2021

Interactive recommendation has drawn widespread attention from both academia and industry due to its effectiveness in real-world mobile applications. Instead of receiving message passively, customers can exploit further with less effort through generated queries. Usually, …

Toward Obstacle Avoidance for Mobile Robots Using Deep Reinforcement Learning Algorithm

2021

The state-of-the-art deep reinforcement learning algorithm, i.e., the deep deterministic policy gradient (DDPG), has achieved good performance in continuous control problems for the robotics. However, the conventional experience replay mechanism of the DDPG algorithm stores …

Measuring DNS-over-HTTPS performance around the world

2021

In recent years, DNS-over-HTTPS (DoH) has gained significant traction as a privacy-preserving alternative to unencrypted DNS. While several studies have measured DoH performance relative to traditional DNS and other encrypted DNS schemes, they are often …

Boosting Black-Box Adversarial Attacks with Meta Learning

2022 · arXiv (Cornell University)

Deep neural networks (DNNs) have achieved remarkable success in diverse fields. However, it has been demonstrated that DNNs are very vulnerable to adversarial examples even in black-box settings. A large number of black-box attack methods …

FPLotto: A fair blockchain-based lottery scheme for privacy protection

2022

Aiming at the existence of a trusted third party in the traditional lottery and the privacy leakage of the current blockchain lottery scheme, we propose a fair blockchain-based lottery scheme for privacy protection, called FPLotto. …

A Model Fusion Distributed Kalman Filter For Non-Gaussian Observation Noise

2023 · arXiv (Cornell University)

Wireless sensor networks (WSNs) represent a critical research domain within the Internet of Things (IoT) technology. The distributed Kalman filter (DKF) has garnered significant attention as an information fusion method for WSNs. However, effectively handling …

Abnormal Sound Detection of Electrical Equipment Based on Time-Spectrum Information Fusion

2023

In the daily monitoring and maintenance of electrical equipment, the detection of abnormal sound is a very important part, and the high accuracy and efficiency of sound to distinguish the abnormal state of the equipment …

MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm

2023 · Frontiers in Neurorobotics

Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years. In the UAV swarm cooperative decision domain, multi-agent deep reinforcement …

Reimagining Literary Analysis: Utilizing Artificial Intelligence to Classify Modernist French Poetry

2024 · Information

Aligned with global Sustainable Development Goals (SDGs) and multidisciplinary approaches integrating AI with sustainability, this research introduces an innovative AI framework for analyzing Modern French Poetry. It applies feature extraction techniques (TF-IDF and Doc2Vec) and …

Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach

2023

In real-world scenarios, capturing scenes with excessive dynamic range often leads to the partial loss of highlight or dark area information due to irradiance variations and limitations in the capture capabilities of imaging devices caused …

It's Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias

2024

Online platforms employ manual human moderation to distinguish human-created social media profiles from deepfake-generated ones. Biased misclassification of real profiles as artificial can harm general users as well as specific identity groups; however, no work …

PQSDC: a parallel lossless compressor for quality scores data via sequences partition and run-length prediction mapping

2024 · Bioinformatics

MOTIVATION: The quality scores data (QSD) account for 70% in compressed FastQ files obtained from the short and long reads sequencing technologies. Designing effective compressors for QSD that counterbalance compression ratio, time cost, and memory …

Springproofs: Efficient Inner Product Arguments for Vectors of Arbitrary Length

2024

Inner product arguments (IPA) are arguments of knowledge that two committed vectors satisfy an inner product relation. With the recursive proof technique by Bootle et al. 2016, the size of IPA proofs only grows logarithmically …