Wentao Zhao

Orcid: 0000-0002-4125-239X

According to our database1, Wentao Zhao authored at least 117 papers between 2004 and 2024.

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

Timeline

Legend:

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Bibliography

2024
DCIM-GCN: Digital Computing-in-Memory Accelerator for Graph Convolutional Network.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

Sparsity-Aware In-Memory Neuromorphic Computing Unit With Configurable Topology of Hybrid Spiking and Artificial Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

DeMPAA: Deployable Multi-Mini-Patch Adversarial Attack for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation.
CoRR, 2024

Locating the Fruit to Be Harvested and Estimating Cut Positions from RGBD Images Acquired by a Camera Moved along Fixed Paths Using a Mask-R-CNN Based Method.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

GeoMix: Towards Geometry-Aware Data Augmentation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

GCIA: A Black-Box Graph Injection Attack Method Via Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography.
Proceedings of the IEEE International Conference on Acoustics, 2024

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2024, 2024

PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

S2D-CIM: A 22nm 128Kb Systolic Digital Compute-in-Memory Macro with Domino Data Path for Flexible Vector Operation and 2-D Weight Update in Edge AI Applications.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
Self-supervised deep monocular visual odometry and depth estimation with observation variation.
Displays, December, 2023

A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

Randomization is all you need: A privacy-preserving federated learning framework for news recommendation.
Inf. Sci., August, 2023

ECLNet: Center localization of eye structures based on Adaptive Gaussian Ellipse Heatmap.
Comput. Biol. Medicine, February, 2023

An Efficient Method for Dynamic Measurement of Wheelset Geometric Parameters.
IEEE Trans. Instrum. Meas., 2023

Wheelset-Bearing Fault Feature Extraction From Multi-Impulsive Signals Under Time-Varying Speed Conditions.
IEEE Trans. Instrum. Meas., 2023

Detection of Chrysanthemums Inflorescence Based on Improved CR-YOLOv5s Algorithm.
Sensors, 2023

Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext.
Sensors, 2023

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method.
IEEE Access, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A 22nm Delta-Sigma Computing-In-Memory (Δ∑CIM) SRAM Macro with Near-Zero-Mean Outputs and LSB-First ADCs Achieving 21.38TOPS/W for 8b-MAC Edge AI Processing.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Consensus One-step Multi-view Subspace Clustering (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A A 22nm 0.43pJ/SOP Sparsity-Aware In-Memory Neuromorphic Computing System with Hybrid Spiking and Artificial Neural Network and Configurable Topology.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

Multi-patch Adversarial Attack for Remote Sensing Image Classification.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Imperceptible Adversarial Attack via Invertible Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improve the reliability of 6G vehicular communication through skip network coding.
Veh. Commun., 2022

Consensus One-Step Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2022

An Adaptive Demodulation Band Segmentation Method to Optimize Spectral Boundary and Its Application for Wheelset-Bearing Fault Detection.
IEEE Trans. Instrum. Meas., 2022

A New Item-Based Collaborative Filtering Algorithm to Improve the Accuracy of Prediction in Sparse Data.
Int. J. Comput. Intell. Syst., 2022

MICER: a pre-trained encoder-decoder architecture for molecular image captioning.
Bioinform., 2022

Precise LiDAR SLAM in Structured Scene Using Finite Plane and Prior Constraint.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DCIM-GCN: Digital Computing-in-Memory to Efficiently Accelerate Graph Convolutional Networks.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
How to Represent Paintings: A Painting Classification Using Artistic Comments.
Sensors, 2021

A Clustering Method of Encrypted Video Traffic Based on Levenshtein Distance.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Generative Adversarial Networks and Improved Efficientnet for Imbalanced Diabetic Retinopathy Grading.
Proceedings of the Cognitive Systems and Information Processing, 2021

Privacy-Preserving Swarm Learning Based on Homomorphic Encryption.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Online Auction Based Resource Allocation for Soft-Deadline Tasks in Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2021

A Competence-Based Three-Layer Cybersecurity Education Framework and Its Application.
Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020
BSS: A Burst Error-Correction Scheme of Multipath Transmission for Mobile Fog Computing.
Wirel. Commun. Mob. Comput., 2020

A Novel Target Detection Method of the Unmanned Surface Vehicle under All-Weather Conditions with an Improved YOLOV3.
Sensors, 2020

Evaluating Deep Learning for Image Classification in Adversarial Environment.
IEICE Trans. Inf. Syst., 2020

A pipeline for fair comparison of graph neural networks in node classification tasks.
CoRR, 2020

Model Capacity Vulnerability in Hyper-Parameters Estimation.
IEEE Access, 2020

Trusted Link-Separation Multipath Selection for Software-Defined Wireless Sensor Networks in Adversarial Environments.
Proceedings of the Security and Privacy in Digital Economy, 2020

A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning.
Proceedings of the Theoretical Computer Science - 38th National Conference, 2020

Late Fusion Multi-view Clustering with Learned Consensus Similarity Matrix.
Proceedings of the Theoretical Computer Science - 38th National Conference, 2020

Web Security Education in A Multidisciplinary Learning Context.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

Research on SDN Enabled by Machine Learning: An Overview.
Proceedings of the 6GN for Future Wireless Networks - Third EAI International Conference, 2020

2019
Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Socially-Attentive Representation Learning for Cold-Start Fraud Review Detection.
Proceedings of the Theoretical Computer Science - 37th National Conference, 2019

Multi-objective Link-Separation Multipath Selection Using k Max-Min for Software-Defined MANETs.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Model-aware categorical data embedding: a data-driven approach.
Soft Comput., 2018

Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning.
KSII Trans. Internet Inf. Syst., 2018

BEBP: An Poisoning Method Against Machine Learning Based IDSs.
CoRR, 2018

A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View.
IEEE Access, 2018

Poisoning Machine Learning Based Wireless IDSs via Stealing Learning Model.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Chronic Poisoning against Machine Learning Based IDSs Using Edge Pattern Detection.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Evaluating the effectiveness of situational case-based teaching: a view of concept mapping.
Proceedings of ACM Turing Celebration Conference - China, 2018

2017
Approximation Algorithms for Cell Planning in Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2017

MST-GEN: An Efficient Parameter Selection Method for One-Class Extreme Learning Machine.
IEEE Trans. Cybern., 2017

A Practical Data Forwarding Path Selecting Method for Software-Defined 5G Networking.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

HL-HAR: Hierarchical Learning Based Human Activity Recognition in Wearable Computing.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Evaluation of situational case-based teaching technique in engineering education.
Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016
Traffic Density-Based RRH Selection for Power Saving in C-RAN.
IEEE J. Sel. Areas Commun., 2016

Remote Radio Head Selection for Power Saving in Cloud Radio Access Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Influence of leg stiffness on payload capacity at high speed.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2015
Budgeted Cell Planning for Cellular Networks With Small Cells.
IEEE Trans. Veh. Technol., 2015

Resource Sharing Scheme for Device-to-Device Communication Underlaying Cellular Networks.
IEEE Trans. Commun., 2015

A Network Load Sensitive Block Placement Strategy of HDFS.
KSII Trans. Internet Inf. Syst., 2015

Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks: An Alternating Optimization Method.
IEEE Commun. Lett., 2015

CIS: Community-based information sharing mechanism for automotive IoT.
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

Influence of biological joint stiffness on running stability.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Efficient resource allocation for OFDMA-based device-to-device communication underlaying cellular networks.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

2014
Joint subchannel and power allocation in multiuser OFDM systems with minimal rate constraints.
Int. J. Commun. Syst., 2014

Cell planning for heterogeneous networks: An approximation algorithm.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Optimal Sensors Deployment for Tracking Level Curve Based on Posterior Cramér-Rao Lower Bound in Scalar Field.
Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014

Low complexity power allocation for device-to-device communication underlaying cellular networks.
Proceedings of the IEEE International Conference on Communications, 2014

The Method of Data Aggregation for Wireless Sensor Networks Based on LEACH-CS.
Proceedings of the Advances in Wireless Sensor Networks - The 8th China Conference, 2014

2013
Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks.
IEEE Trans. Commun., 2013

Cell planning for heterogeneous cellular networks.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Approximation algorithms for cellular networks planning with relay nodes.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

I/O scheduling for solid state devices in virtual machines.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Enumeration of Even-Variable Boolean Functions with Maximum Algebraic Immunity.
Proceedings of the Information Security Applications - 13th International Workshop, 2012

Sampling Attack against Active Learning in Adversarial Environment.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

2011
Active Learning to Defend Poisoning Attack against Semi-Supervised Intrusion Detection Classifier.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

Grey Synthetic Clustering Method for DoS Attack Effectiveness Evaluation.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

2010
A Misleading Attack against Semi-supervised Learning for Intrusion Detection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

2009
Genomic applications of statistical signal processing.
PhD thesis, 2009

Identifying Genes Involved in Cyclic Processes by Combining Gene Expression Analysis and Prior Knowledge.
EURASIP J. Bioinform. Syst. Biol., 2009

Spectral Preprocessing for Clustering Time-Series Gene Expressions.
EURASIP J. Bioinform. Syst. Biol., 2009

2008
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008

Active Learning with Misclassification Sampling Based on Committee.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Recovering Genetic Regulatory Networks from Chromatin Immunoprecipitation and Steady-State Microarray Data.
EURASIP J. Bioinform. Syst. Biol., 2008

Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study.
EURASIP J. Bioinform. Syst. Biol., 2008

A Prediction Model of DoS Attack's Distribution Discrete Probability.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Graph-Based Active Learning Based on Label Propagation.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Identifying drosophila cell-cycle regulated genes from irregular microarray data.
Proceedings of the IEEE International Conference on Acoustics, 2008

A Scalable Algorithm for Graph-Based Active Learning.
Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

2007
Dynamic Structure-Based Neural Network Determination Using Orthogonal Genetic Algorithm with Quantization.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Resource Load Balancing Based on Multi-agent in ServiceBSP Model.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Reconstruction of Genetic Regulatory Networks Based on the Posterior Probabilities of Gene Regulations.
Proceedings of the IEEE International Conference on Acoustics, 2007

Data Fusion Using Improved Dempster-Shafer Evidence Theory for Vehicle Detection.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Inferring gene regulatory networks from time series data using the minimum description length principle.
Bioinform., 2006

2005
Simplifying the power allocation for OFDM-MIMO: a partial curve fitting approach.
Proceedings of the 24th IEEE International Performance Computing and Communications Conference, 2005

Using Passive Measuring to Calibrate Active Measuring Latency.
Proceedings of the Information Networking, 2005

Passive Calibration of Active Measuring Latency.
Proceedings of the Networking, 2005

2004
CDMA Downlink Rate Allocation for Heterogeneous Traffic Based on Utility Function: GA-SA Approach.
Proceedings of the 2nd Annual Conference on Communication Networks and Services Research (CNSR 2004), 2004


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