Zhengming Zhang

Orcid: 0000-0001-7329-1855

According to our database1, Zhengming Zhang authored at least 57 papers between 1995 and 2024.

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

Timeline

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Bibliography

2024
An Effective Network With Discrete Latent Representation Designed for Massive MIMO CSI Feedback.
IEEE Commun. Lett., November, 2024

Deep Reciprocity Calibration for TDD mmWave Massive MIMO Systems Toward 6G.
IEEE Trans. Wirel. Commun., October, 2024

Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing.
IEEE Trans. Commun., October, 2024

Access Point Selection and Beamforming Design for Cell-Free Network: From Fractional Programming to GNN.
IEEE Trans. Wirel. Commun., August, 2024

Federated Learning in Heterogeneous Networks With Unreliable Communication.
IEEE Trans. Wirel. Commun., April, 2024

The Comfort of the Soft-Safety Driver Alerts: Measurements and Evaluation.
Int. J. Hum. Comput. Interact., February, 2024

Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention.
IEEE Trans. Image Process., 2024

SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Teach LLMs to Phish: Stealing Private Information from Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Stroke-based semantic segmentation for scene-level free-hand sketches.
Vis. Comput., December, 2023

A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth.
IEEE Trans. Wirel. Commun., August, 2023

AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection.
IEEE Robotics Autom. Lett., June, 2023

Attention-Based Interrelation Modeling for Explainable Automated Driving.
IEEE Trans. Intell. Veh., February, 2023

Poison Neural Network-Based mmWave Beam Selection and Detoxification With Machine Unlearning.
IEEE Trans. Commun., February, 2023

A Personalized Solution for Deep Learning-Based mmWave Beam Selection.
IEEE Wirel. Commun. Lett., 2023

Fine-Grained Video Retrieval With Scene Sketches.
IEEE Trans. Image Process., 2023

Meta-Learning for Beam Prediction in a Dual-Band Communication System.
IEEE Trans. Commun., 2023

An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles.
CoRR, 2023

AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection.
CoRR, 2023

Automatic Neural Network Construction-Based Channel Estimation for IRS-Aided Communication Systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

CNN-Enhanced Calibration Method: Over-the-Air Channel Calibration in mmWave MIMO System.
Proceedings of the IEEE Global Communications Conference, 2023

TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Beyond Supervised Power Control in Massive MIMO Network: Simple Deep Neural Network Solutions.
IEEE Trans. Veh. Technol., 2022

Backdoor Federated Learning-Based mmWave Beam Selection.
IEEE Trans. Commun., 2022

Learning-Based Resource Allocation in Heterogeneous Ultradense Network.
IEEE Internet Things J., 2022

A Privacy-Preserved Split Learning Solution for Deep Learning-Based mmWave Beam Selection.
IEEE Commun. Lett., 2022

V2E Association and Resource Allocation via Deep Reinforcement Learning in MEC-based HetVNets.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Neurotoxin: Durable Backdoors in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Influence of Autoencoder-Based Data Augmentation on Deep Learning-Based Wireless Communication.
IEEE Wirel. Commun. Lett., 2021

Multi-scale visualization based on sketch interaction for massive surveillance video data.
Pers. Ubiquitous Comput., 2021

Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning.
CoRR, 2021

Deep Reinforcement Learning-Empowered Beamforming Design for IRS-Assisted MISO Interference Channels.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Meta-Learning for mmWave Beam Prediction Using Sub-6 GHz Channels.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Implementation and Performance Evaluation of In-vehicle Highway Back-of-Queue Alerting System Using the Driving Simulator.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Trust and Automation: A Systematic Review and Bibliometric Analysis.
Proceedings of the HCI International 2021 - Late Breaking Papers: Design and User Experience, 2021

Reducing Adversarial Examples Through Boundary Methods.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Heterogeneous User-Centric Cluster Migration Improves the Connectivity-Handover Trade-Off in Vehicular Networks.
IEEE Trans. Veh. Technol., 2020

Double Coded Caching in Ultra Dense Networks: Caching and Multicast Scheduling via Deep Reinforcement Learning.
IEEE Trans. Commun., 2020

Benchmarking Semi-supervised Federated Learning.
CoRR, 2020

2019
Placement Delivery Array Design via Attention-Based Sequence-to-Sequence Model With Deep Neural Network.
IEEE Wirel. Commun. Lett., 2019

Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2019

An Overview of Intelligent Wireless Communications using Deep Reinforcement Learning.
J. Commun. Inf. Networks, 2019

Energy-efficient optimisation for UAV-aided wireless sensor networks.
IET Commun., 2019

Proactive Caching in Auto Driving Scene via Deep Reinforcement Learning.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Semantic Segmentation of Retinal Vessel Images via Dense Convolution and Depth Separable Convolution.
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

On the Cover Problem for Coded Caching in Wireless Networks via Deep Neural Network.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Power-Efficient Communication in UAV-Aided Wireless Sensor Networks.
IEEE Commun. Lett., 2018

Placement Delivery Array Design via Attention-Based Deep Neural Network.
CoRR, 2018

Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning.
CoRR, 2018

Cache-Enabled Adaptive Bit Rate Streaming via Deep Self-Transfer Reinforcement Learning.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Optimal Resource Partitioning and Bit Allocation for UAV-Enabled Mobile Edge Computing.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2015
Orthogonal Linear Transform for Memoryless Nonlinear Communication Systems.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

2014
Battery-Aware Task Scheduling for Energy Efficient Mobile Devices.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

1996
Automatic mesh generation for multiply connected planar regions based on mesh grading propagation.
Comput. Aided Des., 1996

1995
A new approach to fully automatic mesh generation.
J. Comput. Sci. Technol., 1995


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