Zhengyang Wang
Orcid: 0000-0002-5146-2884
According to our database1,
Zhengyang Wang
authored at least 83 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
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
IACR Cryptol. ePrint Arch., 2024
Comput. Geosci., 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.
CoRR, 2024
CoRR, 2024
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.
CoRR, 2024
Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification.
IEEE Access, 2024
Proceedings of the SIGGRAPH Asia 2024 Posters, SA 2024, TokyoJapan, December 3-6, 2024, 2024
Proceedings of the IGARSS 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Human-Computer Interaction, 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Person re-identification method with Mahalanobis TRM triplet on multi-branch network.
Appl. Intell., December, 2023
IEEE Trans. Mob. Comput., June, 2023
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
IET Comput. Vis., February, 2023
Full prediction cascade control of permanent magnet toroidal motor with time-varying parameters.
Trans. Inst. Meas. Control, 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Geosci. Remote. Sens. Lett., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
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
Data Min. Knowl. Discov., 2021
CoRR, 2021
Joint Learning of Super-Resolution and Perceptual Image Enhancement for Single Image.
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2nd Asia Conference on Computers and Communications, 2021
2020
zhengyang-wang/GVTNets: Code for "Global Voxel Transformer Networks for Augmented Microscopy".
Dataset, November, 2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Computational modeling of cellular structures using conditional deep generative networks.
Bioinform., 2019
Bioinform., 2019
Flexible and Efficient Blockchain-Based ABE Scheme With Multi-Authority for Medical on Demand in Telemedicine System.
IEEE Access, 2019
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
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
2013
Cauchy diversity measures: a novel methodology for enhancing sparsity in compressed sensing.
IET Signal Process., 2013
Sci. China Inf. Sci., 2013
2012
Signal Process., 2012