Jiawei Zhang

Extended Kalman Filter for Ship Tracking

2017

There are obvious electrostatic field characteristics around the ship. Eelectric dipole in three-layer medium is used to describe the characteristics of the ship. The tracking problem of electric dipole with extend Kalman Filter is studied. …

Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.

2019 · arXiv (Cornell University)

Online knowledge libraries refer to the online data warehouses that systematically organize and categorize the knowledge-based information about different kinds of concepts and entities. In the era of big data, the setup of online knowledge …

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

2019 · arXiv (Cornell University)

Cross-domain recommendation can alleviate the data sparsity problem in recommender systems. To transfer the knowledge from one domain to another, one can either utilize the neighborhood information or learn a direct mapping function. However, all …

Blockchain Based Data Integrity Verification for Large-Scale IoT Data

2019 · IEEE Access

Achieving data integrity verification for large-scale IoT data in cloud storage safely and efficiently has become one of the hot topics with further applications of Internet of Things. Traditional data integrity verification methods generally use …

A Novel Digital Modulation Recognition Algorithm Based on Deep Convolutional Neural Network

2020 · Applied Sciences

The modulation recognition of digital signals under non-cooperative conditions is one of the important research contents here. With the rapid development of artificial intelligence technology, deep learning theory is also increasingly being applied to the …

Improving Certified Robustness via Statistical Learning with Logical Reasoning

2020 · arXiv (Cornell University)

Intensive algorithmic efforts have been made to enable the rapid improvements of certificated robustness for complex ML models recently. However, current robustness certification methods are only able to certify under a limited perturbation radius. Given …

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

2020 · arXiv (Cornell University)

In this paper, we formulate a more realistic and difficult problem setup for the intent detection task in natural language understanding, namely Generalized Few-Shot Intent Detection (GFSID). GFSID aims to discriminate a joint label space …

Modulation Recognition of Communication Signal Based on Convolutional Neural Network

2021 · Symmetry

In the noncooperation communication scenario, digital signal modulation recognition will help people to identify the communication targets and have better management over them. To solve problems such as high complexity, low accuracy and cumbersome manual …

Hierarchical and Multi-Group Data Sharing for Cloud-Assisted Industrial Internet of Things

2023 · IEEE Transactions on Services Computing

With the development of Industrial Internet of Things (IIoT) and 5G, massive data are easily collected and transmitted in cloud. Therefore, it is critical to guarantee the security of data sharing. In IIoT applications, the …

SummIt: Iterative Text Summarization via ChatGPT

2023 · arXiv (Cornell University)

Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step. However, the one-shot summarization setting is sometimes inadequate, as the generated summary may contain hallucinations or overlook …

Online training and pruning of photonic neural networks

2023

Photonic neural networks have unique weight-actuating mechanisms and manufacturing variations, resulting in a suboptimal performance by conventional offline training. By incorporating a power-pruning regularization term in the loss function, we demonstrate an online training method …

EPA: Neural Collapse Inspired Robust Out-of-distribution Detector

2024

Out-of-distribution (OOD) detection plays a crucial role in ensuring the security of neural networks. Existing works have leveraged the fact that In-distribution (ID) samples form a subspace in the feature space, achieving state-of-the-art (SOTA) performance. …

Microring Modulation-and-Weight Banks

2024

For photonic neural networks, we propose a novel microring bank with carrier-effect and thermal dual-tunability, which can 1) combine modulating and weighting for saved space, 2) improve tuning efficiency, and 3) inherit WDM-enabled scalability.

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer

2024 · arXiv (Cornell University)

This paper builds upon our previous work on the Reconciled Polynomial Network (RPN). The original RPN model was designed under the assumption of input data independence, presuming the independence among both individual instances within data …

Spectral collaborative filtering

2018

Despite the popularity of Collaborative Filtering (CF), CF-based methods are haunted by the cold-start problem, which has a significantly negative impact on users' experiences with Recommender Systems (RS). In this paper, to overcome the aforementioned …

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

2021

In order to model the evolution of user preference, we should learn user/item embeddings based on time-ordered item purchasing sequences, which is defined as Sequential Recommendation~(SR) problem. Existing methods leverage sequential patterns to model item …