Zhengyang Wang

Orcid: 0000-0002-5146-2884

According to our database1, Zhengyang Wang authored at least 67 papers between 2012 and 2024.

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Bibliography

2024
Multi-layer features template update object tracking algorithm based on SiamFC++.
EURASIP J. Image Video Process., December, 2024

Combined Filtering Method for Offshore Oil and Gas Platform Point Cloud Data Based on KNN_PCF and Hy_WHF and Its Application in 3D Reconstruction.
Sensors, January, 2024

Deep Learning-Based Semantic Segmentation and Surface Reconstruction for Point Clouds of Offshore Oil Production Equipment.
IEEE Trans. Geosci. Remote. Sens., 2024

Quantitative Analysis of SAR Image Geometric Distortion and Its Application in Deformation Rate Fusion Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
CoRR, 2024

Knowledge Editing on Black-box Large Language Models.
CoRR, 2024

2023
Person re-identification method with Mahalanobis TRM triplet on multi-branch network.
Appl. Intell., December, 2023

AutoProfile: An Intelligent Profile Switching System for Smartphones.
IEEE Trans. Mob. Comput., June, 2023

Second-Order Pooling for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Deep-Learning-Based Semantic Segmentation Approach for Point Clouds of Extra-High-Voltage Transmission Lines.
Remote. Sens., May, 2023

Multi-template temporal information fusion for Siamese object tracking.
IET Comput. Vis., February, 2023

Full prediction cascade control of permanent magnet toroidal motor with time-varying parameters.
Trans. Inst. Meas. Control, 2023

Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Self-Supervised Learning of Graph Neural Networks: A Unified Review.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Language Models As Semantic Indexers.
CoRR, 2023

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations.
CoRR, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Knowledge-Selective Pretraining for Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Consistency for Text Summarization with Energy Functions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EIP Security Analysis: Application Program Standards, Attack Events, and Security Vulnerabilities.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

Integrating Noisy Knowledge into Language Representations for E-Commerce Applications.
Proceedings of the IEEE International Conference on Big Data, 2023

SCOTT: Self-Consistent Chain-of-Thought Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Non-Local Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Separating P- and S-Waves Based on the Slope of Wavefield Events and Polarizability.
IEEE Geosci. Remote. Sens. Lett., 2022

Adaptive Sparse Self-attention for Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Finger Tracking for Human Computer Interface Using Multiple Sensor Data Fusion.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021
Ground object information extraction from hyperspectral remote sensing images using deep learning algorithm.
Microprocess. Microsystems, November, 2021

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Global voxel transformer networks for augmented microscopy.
Nat. Mach. Intell., 2021

Smoothed dilated convolutions for improved dense prediction.
Data Min. Knowl. Discov., 2021

Self-Supervised Learning of Graph Neural Networks: A Unified Review.
CoRR, 2021

Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization.
CoRR, 2021

Joint Learning of Super-Resolution and Perceptual Image Enhancement for Single Image.
IEEE Access, 2021

Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Environment-Independent Wi-Fi Human Activity Recognition with Adversarial Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Template Update Based on 3D-Convolutional Siamese Network for Object Tracking.
Proceedings of the 2nd Asia Conference on Computers and Communications, 2021

2020
Global Pixel Transformers for Virtual Staining of Microscopy Images.
IEEE Trans. Medical Imaging, 2020

Pixel Transposed Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR, 2020

iCapsNets: Towards Interpretable Capsule Networks for Text Classification.
CoRR, 2020

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kronecker Attention Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Non-Local U-Nets for Biomedical Image Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images.
CoRR, 2019

Computational modeling of cellular structures using conditional deep generative networks.
Bioinform., 2019

SolidBin: improving metagenome binning with semi-supervised normalized cut.
Bioinform., 2019

Flexible and Efficient Blockchain-Based ABE Scheme With Multi-Authority for Medical on Demand in Telemedicine System.
IEEE Access, 2019

Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques.
Proceedings of the 4th International Conference on Machine Learning Technologies, 2019

2018
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.
CoRR, 2018

Learning Convolutional Text Representations for Visual Question Answering.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Large-Scale Learnable Graph Convolutional Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Adversarial Learning for Multi-Modality Missing Data Completion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Pixel Deconvolutional Networks.
CoRR, 2017

2013
Cauchy diversity measures: a novel methodology for enhancing sparsity in compressed sensing.
IET Signal Process., 2013

A high quality image reconstruction method based on nonconvex decoding.
Sci. China Inf. Sci., 2013

2012
Robust ISAR imaging based on compressive sensing from noisy measurements.
Signal Process., 2012


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