Zhichao Lian

Orcid: 0000-0002-6643-8975

According to our database1, Zhichao Lian authored at least 69 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Convergent Grey Wolf Optimizer Metaheuristics for Scheduling Crowdsourcing Applications in Mobile Edge Computing.
IEEE Internet Things J., January, 2024

2023
Deep Open-Curve Snake for Discriminative 3D Neuron Tracking.
IEEE J. Biomed. Health Informatics, December, 2023

Interpretable Model-Agnostic Explanations Based on Feature Relationships for High-Performance Computing.
Axioms, October, 2023

A unified RGB-T crowd counting learning framework.
Image Vis. Comput., March, 2023

Adversarial Purification of Information Masking.
CoRR, 2023

Boost Adversarial Transferability by Uniform Scale and Mix Mask Method.
CoRR, 2023

Full-coverage Invisible Camouflage For Adversarial Targeted Attack.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Interpretable attribution based on concept vectors.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

MIC: An Effective Defense Against Word-Level Textual Backdoor Attacks.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Integration Model of Deep Forgery Video Detection Based on rPPG and Spatiotemporal Signal.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Intrusion Detection System Based on Adversarial Domain Adaptation Algorithm.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Adversarial Patch Attacks Against Aerial Imagery Object Detectors Based on Interpretable Guidance.
Proceedings of the IEEE Intl Conf on Dependable, 2023

2022
Classification of ADHD Patients Using Kernel Hierarchical Extreme Learning Machine.
CoRR, 2022

Real-centric Consistency Learning for Deepfake Detection.
CoRR, 2022

Understanding CNNs from excitations.
CoRR, 2022

Classification of ADHD Patients by Kernel Hierarchical Extreme Learning Machine.
CoRR, 2022

A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting.
CoRR, 2022

Block shuffling learning for Deepfake Detection.
CoRR, 2022

High Fidelity Motion Adaptive Face Reenactment.
Proceedings of the IEEE Smartworld, 2022

Detecting and Classifying Adversarial Examples Based on DCT Transform.
Proceedings of the IEEE Smartworld, 2022

Self-supervised Visual-Semantic Embedding Network Based on Local Label Optimization.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Fused Pruning based Robust Deep Neural Network Watermark Embedding.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Attention Based Adversarial Attacks with Low Perturbations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

An Effective Fusion Method to Enhance the Robustness of CNN.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Novel Contrastive Learning Framework for Self-Supervised Anomaly Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A GAN-Based Framework For High-Fidelity Face Swapping.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

A Spatio-Temporal Graph Transformer Network for Multi-Pedestrain Trajectory Prediction.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Local Alignment with Global Semantic Consistence Network for Image-Text Matching.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

A Semantic Segmentation Algorithm Based on Contrastive Learning Using Aligned Feature Samples.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images.
IEEE Trans. Image Process., 2021

Dual Attention Triplet Hashing Network for Image Retrieval.
Frontiers Neurorobotics, 2021

A Blockchain-Enabled Multiple Object Tracking for Unmanned System With Deep Hash Appearance Feature.
IEEE Access, 2021

2020
A Real Time Face Tracking System based on Multiple Information Fusion.
Multim. Tools Appl., 2020

A Novel Scale Insensitive KCF Tracker Based on HOG and Color Features.
J. Circuits Syst. Comput., 2020

Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images.
CoRR, 2020

Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN.
IEEE Access, 2020

A Novel Unsupervised Hashing Method for Image Retrieval Based on K-Reciprocal Nearest Neighbors.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Locally Low-Rank Regularized Video Stabilization With Motion Diversity Constraints.
IEEE Trans. Circuits Syst. Video Technol., 2019

Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images.
Knowl. Based Syst., 2019

Stochastic Delay Characterization for Multicoupled RLC Interconnects Under Process Variations.
J. Circuits Syst. Comput., 2019

A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Multiple Objects Tracking Based Vehicle Speed Analysis with Gaussian Filter from Drone Video.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

A Novel Small Vehicle Detection Method Based on UAV Using Scale Adaptive Gradient Adjustment.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

2018
Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.
IEEE Trans. Image Process., 2018

Prediction of Lung Motion From Four-Dimensional Computer Tomography (4DCT) Images Using Bayesian Registration and Trajectory Modelling.
IEEE Access, 2018

2017
Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei.
IEEE J. Biomed. Health Informatics, 2017

Local and Nonlocal Context-Aware Elastic Net Representation-Based Classification for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

采用预编码的GSM网络最大互信息优化方法研究 (Research on Maximum Mutual Information Optimization in GSM Networks with Precoding).
计算机科学, 2017

基于均匀圆阵的闭环式单基站测向算法研究 (Research on Algorithm of Close-loop Single Base Station Direction-finding Based on Uniform Circular Array).
计算机科学, 2017

Robust segmentation of brain MRI images using a novel fuzzy c-means clustering method.
Proceedings of the 13th International Conference on Natural Computation, 2017

A novel adaptive kernel correlation filter tracker with multiple feature integration.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
基于词条与语意差异度量的文档聚类算法 (Term and Semantic Difference Metric Based Document Clustering Algorithm).
计算机科学, 2016

ELM-based classification of ADHD patients using a novel local feature extraction method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Dynamic Bayesian brain network partition and connectivity change point detection.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

2014
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2012
A novel efficient local illumination compensation method based on DCT in logarithm domain.
Pattern Recognit. Lett., 2012

Local Line Derivative Pattern for face recognition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
A Novel Local Illumination Normalization Approach for Face Recognition.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
An efficient illumination normalization method in a transformed domain.
Proceedings of the 11th International Conference on Control, 2010

2007
Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set.
Proceedings of the Pattern Recognition in Bioinformatics, 2007


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