Cong Zou

Orcid: 0000-0002-1901-5363

According to our database1, Cong Zou authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Generative Adversarial Network for Wireless Communication: Principle, Application, and Trends.
IEEE Commun. Mag., May, 2024

<i>S<sup>2</sup>CL-Leaf Net</i>: Recognizing Leaf Images Like Human Botanists.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Cognitive process-driven model design: A deep learning recommendation model with textual review and context.
Decis. Support Syst., January, 2024

Universal domain adaptation from multiple black-box sources.
Image Vis. Comput., 2024

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Underwater Wireless Optical Communication With One-Bit Quantization: A Hybrid Autoencoder and Generative Adversarial Network Approach.
IEEE Trans. Wirel. Commun., October, 2023

Adaptive Impulsive Noise Suppression: A Deep Learning-Based Parameters Estimation Approach.
IEEE Trans. Broadcast., June, 2023

Autoencoder for Optical Intelligent Reflecting Surface-Assisted VLC System: From Model and Data-Driven Perspectives.
IEEE Internet Things J., 2023

Weight Try-Once-Discard Protocol-Based L_2 L_infinity State Estimation for Markovian Jumping Neural Networks with Partially Known Transition Probabilities.
CoRR, 2023

Consistency-aware Feature Learning for Hierarchical Fine-grained Visual Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-View Predicate Recognition for Solving Semantic Ambiguity Problem in Scene Graph Generation.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Underwater Optical Channel Generator: A Generative Adversarial Network Based Approach.
IEEE Trans. Wirel. Commun., 2022

Aircarft Signal Feature Extraction and Recognition Based on Deep Learning.
IEEE Trans. Veh. Technol., 2022

Spectrum Sensing for DTMB System: A CNN Approach.
IEEE Trans. Broadcast., 2022

Event-Triggered μ-state estimation for Markovian jumping neural networks with mixed time-delays.
Appl. Math. Comput., 2022

Parameters Optimization for Impulse Noise Suppressing: A Deep Learning Based Approach.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

2021
Wideband Underwater Wireless Optical Communication Based on Multi-Carrier Autoencoder.
IEEE Wirel. Commun. Lett., 2021

H<sub>∞</sub> State Estimation for Round-Robin Protocol-Based Markovian Jumping Neural Networks with Mixed Time Delays.
Neural Process. Lett., 2021

Channel Autoencoder for Wireless Communication: State of the Art, Challenges, and Trends.
IEEE Commun. Mag., 2021

MAPS: Joint Multimodal Attention and POS Sequence Generation for Video Captioning.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

ACARS Signal Source Generation and Recognition Based on Convolutional Neural Network.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

2020
Bird Detection on Transmission Lines Based on DC-YOLO Model.
Proceedings of the Intelligent Information Processing X, 2020

User Conditional Hashtag Recommendation for Micro-Videos.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
Joint latent factors and attributes to discover interpretable preferences in recommendation.
Inf. Sci., 2019

VCG: Exploiting visual contents and geographical influence for Point-of-Interest recommendation.
Neurocomputing, 2019

Deep Learning Approach Based on Tensor-Train for Sparse Signal Recovery.
IEEE Access, 2019

Tensor-Train Based Deep Learning Approach for Compressive Sensing in Mobile Computing.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Weighted Focus-Attention Deep Network for Fine-grained Image Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

PCGAN: Partition-Controlled Human Image Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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