Zhichao Lian

According to our database, Zhichao Lian authored at least 77 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Selective real-time adversarial perturbations against deep reinforcement learning agents.

Hongjin Yao, Yisheng Li, Yunpeng Sun, Zhichao Lian

IET Cyper-Phys. Syst.: Theory & Appl., March, 2024

Convergent Grey Wolf Optimizer Metaheuristics for Scheduling Crowdsourcing Applications in Mobile Edge Computing.

Zhichao Lian, Jiangang Shu, Yi Zhang, Jin Sun

IEEE Internet Things J., January, 2024

A novel forgery classification method based on multi-scale feature capsule network in mobile edge computing.

Zhichao Lian, Ling Wang

Softw. Pract. Exp., 2024

Enhancing consistency in virtual try-on: A novel diffusion-based approach.

Chenglin Zhou, Wei Zhang, Zhichao Lian

Image Vis. Comput., 2024

Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability.

Zijian Ying, Qianmu Li, Tao Wang, Zhichao Lian, Shunmei Meng, Xuyun Zhang

CoRR, 2024

A Novel Explainable Method based on Grad-CAM for Network Intrusion Detection.

Yunpeng Sun, Zhichao Lian, Shuangquan Zhang, Zhanfeng Wang, Tao Duan

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Multi-target Attention Dispersion Adversarial Attack Against Aerial Object Detector.

Panpan Wang, Shujuan Wang, Zhichao Lian, Shuohao Li

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Multi-texture Fusion Attack: A Robust Adversarial Camouflage in Physical World.

Yisheng Li, Xuekang Peng, Zhichao Lian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Deep Open-Curve Snake for Discriminative 3D Neuron Tracking.

Jie Song, Zhichao Lian, Liang Xiao

IEEE J. Biomed. Health Informatics, December, 2023

Interpretable Model-Agnostic Explanations Based on Feature Relationships for High-Performance Computing.

Zhouyuan Chen, Zhichao Lian, Zhe Xu

Axioms, October, 2023

A unified RGB-T crowd counting learning framework.

Siqi Gu, Zhichao Lian

Image Vis. Comput., March, 2023

Adversarial Purification of Information Masking.

Sitong Liu, Zhichao Lian, Shuangquan Zhang, Liang Xiao

CoRR, 2023

Boost Adversarial Transferability by Uniform Scale and Mix Mask Method.

Tao Wang, Zijian Ying, Qianmu Li, Zhichao Lian

CoRR, 2023

Full-coverage Invisible Camouflage For Adversarial Targeted Attack.

Hongtuo Zhou, Zhichao Lian

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Interpretable attribution based on concept vectors.

Lu Liu, Zhichao Lian

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

MIC: An Effective Defense Against Word-Level Textual Backdoor Attacks.

Shufan Yang, Qianmu Li, Zhichao Lian, Pengchuan Wang, Jun Hou

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention.

Chongyi Lv, Zhichao Lian

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation.

Jie Song, Ziyun Cai, Yurong Song, Guoping Jiang, Zhichao Lian, Liang Xiao

Proceedings of the IEEE International Conference on Image Processing, 2023

Multi-convolution and Adaptive-Stride Based Transferable Adversarial Attacks.

Shuo Wang, Qingfu Huang, Zhichao Lian

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Integration Model of Deep Forgery Video Detection Based on rPPG and Spatiotemporal Signal.

Lujia Yang, Wenye Shu, Yongjia Wang, Zhichao Lian

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Intrusion Detection System Based on Adversarial Domain Adaptation Algorithm.

Jiahui Fei, Yunpeng Sun, Yuejin Wang, Zhichao Lian

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Adversarial Patch Attacks Against Aerial Imagery Object Detectors Based on Interpretable Guidance.

Fengyi Liu, Zhichao Lian

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Classification of ADHD Patients Using Kernel Hierarchical Extreme Learning Machine.

Sartaj Ahmed Salman, Zhichao Lian, Milad Taleby Ahvanooey, Hiroki Takahashi, Yuduo Zhang

CoRR, 2022

Real-centric Consistency Learning for Deepfake Detection.

Ruiqi Zha, Zhichao Lian, Qianmu Li, Siqi Gu

CoRR, 2022

Understanding CNNs from excitations.

Zijian Ying, Qianmu Li, Zhichao Lian

CoRR, 2022

Classification of ADHD Patients by Kernel Hierarchical Extreme Learning Machine.

Sartaj Ahmed Salman, Zhichao Lian, Yuduo Zhang

CoRR, 2022

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

Siqi Gu, Zhichao Lian

CoRR, 2022

Block shuffling learning for Deepfake Detection.

Sitong Liu, Zhichao Lian, Siqi Gu, Liang Xiao

CoRR, 2022

High Fidelity Motion Adaptive Face Reenactment.

Changle Shao, Zhichao Lian, Zhihui Wei

Proceedings of the IEEE Smartworld, 2022

Detecting and Classifying Adversarial Examples Based on DCT Transform.

Yating Ma, Ruiqi Zha, Zhichao Lian

Proceedings of the IEEE Smartworld, 2022

Self-supervised Visual-Semantic Embedding Network Based on Local Label Optimization.

Zhukai Jiang, Zhichao Lian

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Fused Pruning based Robust Deep Neural Network Watermark Embedding.

Tengfei Li, Shuo Wang, Huiyun Jing, Zhichao Lian, Shunmei Meng, Qianmu Li

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Attention Based Adversarial Attacks with Low Perturbations.

Qingfu Huang, Zhichao Lian, Qianmu Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

An Effective Fusion Method to Enhance the Robustness of CNN.

Yating Ma, Zhichao Lian

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Novel Contrastive Learning Framework for Self-Supervised Anomaly Detection.

Jingze Li, Zhichao Lian, Min Li

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval.

Zhukai Jiang, Zhichao Lian

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A GAN-Based Framework For High-Fidelity Face Swapping.

Zheming Zuo, Zhichao Lian, Zhihui Wei

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

A Spatio-Temporal Graph Transformer Network for Multi-Pedestrain Trajectory Prediction.

Jingfei Zhu, Zhichao Lian, Zhukai Jiang

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Local Alignment with Global Semantic Consistence Network for Image-Text Matching.

Pengwei Li, Shihua Wu, Zhichao Lian

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

A Semantic Segmentation Algorithm Based on Contrastive Learning Using Aligned Feature Samples.

Xibei Jia, Zhichao Lian

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems.

Luopu Liang, Bowen Guo, Zhichao Lian, Qianmu Li, Huiyun Jing

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.

Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian

IEEE Trans. Image Process., 2021

Dual Attention Triplet Hashing Network for Image Retrieval.

Zhukai Jiang, Zhichao Lian, Jinping Wang

Frontiers Neurorobotics, 2021

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

Zhenguo Ding, Sitong Liu, Min Li, Zhichao Lian, Hui Xu

IEEE Access, 2021

2020

A Real Time Face Tracking System based on Multiple Information Fusion.

Zhichao Lian, Shuai Shao, Chanying Huang

Multim. Tools Appl., 2020

A Novel Scale Insensitive KCF Tracker Based on HOG and Color Features.

Zhichao Lian, Changju Feng, Zhonggeng Liu, Chanying Huang, Chunshan Xu, Jin Sun

J. Circuits Syst. Comput., 2020

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

Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian

CoRR, 2020

Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN.

Muhammad Adil, Saqib Mamoon, Ali Zakir, Muhammad Arslan Manzoor, Zhichao Lian

IEEE Access, 2020

A Novel Unsupervised Hashing Method for Image Retrieval Based on K-Reciprocal Nearest Neighbors.

Jinping Wang, Zhichao Lian

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic Segmentation.

Yue Liu, Zhichao Lian

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Locally Low-Rank Regularized Video Stabilization With Motion Diversity Constraints.

Huicong Wu, Liang Xiao, Zhichao Lian, Hiuk Jae Shim

IEEE Trans. Circuits Syst. Video Technol., 2019

Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images.

Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian

Knowl. Based Syst., 2019

Stochastic Delay Characterization for Multicoupled RLC Interconnects Under Process Variations.

Jin Sun, Xin Li, Zhichao Lian, Min Li

J. Circuits Syst. Comput., 2019

A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification.

Yuduo Zhang, Zhichao Lian, Chanying Huang

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.

Yue Liu, Zhichao Lian, Junjie Ding, Tangyi Guo

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.

Changju Feng, Zhichao Lian

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.

Jie Song, Liang Xiao, Zhichao Lian

IEEE Trans. Image Process., 2018

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

Min Li, Zhikang Xiang, Zhichao Lian, Liang Xiao, Jun Zhang, Zhihui Wei

IEEE Access, 2018

2017

Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei.

Jie Song, Liang Xiao, Zhichao Lian

IEEE J. Biomed. Health Informatics, 2017

Local and Nonlocal Context-Aware Elastic Net Representation-Based Classification for Hyperspectral Images.

Bushra Naz Soomro, Liang Xiao, Mohsen Molaei, Lili Huang, Zhichao Lian, Shahzad Hyder Soomro

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).

Linjing Wei, Lulu Ning, Zhichao Lian, Yongqiang Dai, Lianguo Wang

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).

Linjing Wei, Zhichao Lian, Jing Peng, Guang Li

计算机科学, 2017

Robust segmentation of brain MRI images using a novel fuzzy c-means clustering method.

Min Li, Zhikang Xiang, Limei Zhang, Zhichao Lian, Liang Xiao

Proceedings of the 13th International Conference on Natural Computation, 2017

A novel adaptive kernel correlation filter tracker with multiple feature integration.

Zhonggeng Liu, Zhichao Lian, Yang Li

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).

Linjing Wei, Zhichao Lian, Lianguo Wang, Zhenxing Hou

计算机科学, 2016

ELM-based classification of ADHD patients using a novel local feature extraction method.

Yang Li, Zhichao Lian, Min Li, Zhonggeng Liu, Liang Xiao, Zhihui Wei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Dynamic Bayesian brain network partition and connectivity change point detection.

Zhichao Lian, Xiang Li, Yi Pan, Xuan Guo, Le Chen, Guantao Chen, Zhihui Wei, Tianming Liu, Jing Zhang

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.

Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien, Tianming Liu, Jing Zhang

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.

Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.

Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.

Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang

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.

Zhichao Lian, Meng Joo Er, Yanchun Liang

Pattern Recognit. Lett., 2012

Local Line Derivative Pattern for face recognition.

Zhichao Lian, Meng Joo Er, Yang Cong

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

A Novel Local Illumination Normalization Approach for Face Recognition.

Zhichao Lian, Meng Joo Er, Juekun Li

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern.

Zhichao Lian, Meng Joo Er, Juekun Li

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

An efficient illumination normalization method in a transformed domain.

Zhichao Lian, Meng Joo Er

Proceedings of the 11th International Conference on Control, 2010

2007

Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set.

Xu-Ning Tang, Zhichao Lian, Zhi-Li Pei, Yanchun Liang

Proceedings of the Pattern Recognition in Bioinformatics, 2007