Xiangyu Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Efficient Bottom-Up Synthesis for Programs with Local Variables.
Proc. ACM Program. Lang., January, 2024

Learning to Poison Large Language Models During Instruction Tuning.
CoRR, 2024

2023
An Extended TODIM Method and Applications for Multi-Attribute Group Decision-Making Based on Bonferroni Mean Operators under Probabilistic Linguistic Term Sets.
Symmetry, October, 2023

A Novel GDMD-PROMETHEE Algorithm Based on the Maximizing Deviation Method and Social Media Data Mining for Large Group Decision Making.
Symmetry, February, 2023

SAR Target Recognition with Limited Training Samples in Open Set Conditions.
Sensors, February, 2023

Hijacking Large Language Models via Adversarial In-Context Learning.
CoRR, 2023

DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition.
CoRR, 2023

Towards Trauma-Informed Data Donation of Sexual Experience in Online Dating to Improve Sexual Risk Detection AI.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Research on Adjustable Load Optimization Control Strategy Based on Multidimensional Operating Characteristics.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Chinese Event Extraction Algorithm of Multi-Information Semantic Enhancements.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Robotic Stacking of Irregular Objects with Load Position Identification and Compensation.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Few-Shot Fine-Grained Image Classification via GNN.
Sensors, 2022

Distinguished representation of identical mentions in bio-entity coreference resolution.
BMC Medical Informatics Decis. Mak., 2022

Effects of cloud computing assimilation on supply chain financing risks of SMEs.
J. Enterp. Inf. Manag., 2022

Restoration of Laser Interference Image Based on Large Scale Deep Learning.
IEEE Access, 2022

Synthesizing analytical SQL queries from computation demonstration.
Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Optimal Control and Configuration of Energy Storage Devices in Regional Distribution Network with Renewable Energy Sources.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Integrated optimization of smart home appliances under energy management system.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Research on Optimization Strategy of Central Air-conditioning System for Power Demand Response.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

Knowledge Enhanced Coreference Resolution via Gated Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.
Sensors, 2021

Effective method for detecting malicious PowerShell scripts based on hybrid features<sup>☆</sup>.
Neurocomputing, 2021

Knowledge enhanced LSTM for coreference resolution on biomedical texts.
Bioinform., 2021

Malicious Packages Lurking in User-Friendly Python Package Index.
Proceedings of the 20th IEEE International Conference on Trust, 2021

2020
A New Testing Method for the Diagnosis of Winding Faults in Transformer.
IEEE Trans. Instrum. Meas., 2020

Using Deep Learning to Forecast Maritime Vessel Flows.
Sensors, 2020

Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism.
Int. J. Distributed Sens. Networks, 2020

2019
Deep Belief Network for Meteorological Time Series Prediction in the Internet of Things.
IEEE Internet Things J., 2019

Fault Diagnosis of Rotating Machinery Based on Combination of Deep Belief Network and One-dimensional Convolutional Neural Network.
IEEE Access, 2019

Linear Regression Electricity Prediction Method Based on Clustering of Electric Characteristics.
Proceedings of the 2nd International Conference on Big Data Technologies, 2019

2016
Physics-based multiscale modeling of III-nitride light emitters.
PhD thesis, 2016

Novel 2-DOF Planar Ultrasonic Motor With Characteristic of Variable Mode Excitation.
IEEE Trans. Ind. Electron., 2016

基于分布式内存数据库的移动对象全时态索引 (Full-temporal Index of Moving Objects Based on Distributed Main Memory Database).
计算机科学, 2016

A New Linear Ultrasonic Motor Using Hybrid Longitudinal Vibration Mode.
IEEE Access, 2016

2015
Modeling challenges for high-efficiency visible light-emitting diodes.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015


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