Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set. - Xu-Ning Tang; Zhichao Lian; Zhi-Li Pei; Yanchun Liang 001 (PRIB, 2007)

An efficient illumination normalization method in a transformed domain. - Zhichao Lian; Meng Joo Er (ICARCV, 2010)

A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern. - Zhichao Lian; Meng Joo Er; Juekun Li (CAIP (2), 2011)

A Novel Local Illumination Normalization Approach for Face Recognition. - Zhichao Lian; Meng Joo Er; Juekun Li (ISNN (2), 2011)

Local Line Derivative Pattern for face recognition. - Zhichao Lian; Meng Joo Er; Yang Cong (ICIP, 2012)

A novel efficient local illumination compensation method based on DCT in logarithm domain. - Zhichao Lian; Meng Joo Er; Yanchun Liang 001 (Pattern Recognit. Lett., 2012)

Generalized fMRI activation detection via Bayesian magnitude change point model. - Zhichao Lian; Jinglei Lv; Jianchuan Xing; Xiang Li 001; Xi Jiang 001; Dajiang Zhu; Jiansong Xu; Marc N. Potenza; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Exploring functional brain dynamics via a Bayesian connectivity change point model. - Zhichao Lian; Xiang Li 001; Jianchuan Xing; Jinglei Lv; Xi Jiang 001; Dajiang Zhu; Shu Zhang 001; Jiansong Xu; Marc N. Potenza; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Dynamic network partition via Bayesian connectivity bi-partition change point model. - Zhichao Lian; Xiang Li 001; Thomas Young; Yun Hao; Jianchuan Xing; Jinglei Lv; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model. - Zhichao Lian; Xiang Li 001; Hongmiao Zhang; Hui Kuang; Kun Xie 006; Jianchuan Xing; Dajiang Zhu; Joe Z. Tsien; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Dynamic Bayesian brain network partition and connectivity change point detection. - Zhichao Lian; Xiang Li 001; Yi Pan 001; Xuan Guo; Le Chen; Guantao Chen; Zhihui Wei; Tianming Liu 001; Jing Zhang 010 (ICCABS, 2015)

ELM-based classification of ADHD patients using a novel local feature extraction method. - Yang Li; Zhichao Lian; Min Li 009; Zhonggeng Liu; Liang Xiao 001; Zhihui Wei (BIBM, 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)

A novel adaptive kernel correlation filter tracker with multiple feature integration. - Zhonggeng Liu; Zhichao Lian; Yang Li (ICIP, 2017)

Robust segmentation of brain MRI images using a novel fuzzy c-means clustering method. - Min Li 009; Zhikang Xiang; Limei Zhang; Zhichao Lian; Liang Xiao 001 (ICNC-FSKD, 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)

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)

Local and Nonlocal Context-Aware Elastic Net Representation-Based Classification for Hyperspectral Images. - Bushra Naz Soomro; Liang Xiao 001; Mohsen Molaei; Lili Huang; Zhichao Lian; Shahzad Hyder Soomro (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei. - Jie Song 014; Liang Xiao 001; Zhichao Lian (IEEE J. Biomed. Health Informatics, 2017)

Prediction of Lung Motion From Four-Dimensional Computer Tomography (4DCT) Images Using Bayesian Registration and Trajectory Modelling. - Min Li 009; Zhikang Xiang; Zhichao Lian; Liang Xiao 001; Jun Zhang 024; Zhihui Wei (IEEE Access, 2018)

Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images. - Jie Song 014; Liang Xiao 001; Zhichao Lian (IEEE Trans. Image Process., 2018)

A Novel Small Vehicle Detection Method Based on UAV Using Scale Adaptive Gradient Adjustment. - Changju Feng; Zhichao Lian (IScIDE (1), 2019)

Multiple Objects Tracking Based Vehicle Speed Analysis with Gaussian Filter from Drone Video. - Yue Liu; Zhichao Lian; Junjie Ding; Tangyi Guo (IScIDE (1), 2019)

A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification. - Yuduo Zhang; Zhichao Lian; Chanying Huang (IScIDE (2), 2019)

Stochastic Delay Characterization for Multicoupled RLC Interconnects Under Process Variations. - Jin Sun 001; Xin Li 070; Zhichao Lian; Min Li (J. Circuits Syst. Comput., 2019)

Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images. - Jie Song 014; Liang Xiao 001; Mohsen Molaei; Zhichao Lian (Knowl. Based Syst., 2019)

Locally Low-Rank Regularized Video Stabilization With Motion Diversity Constraints. - Huicong Wu; Liang Xiao 001; Zhichao Lian; Hiuk Jae Shim (IEEE Trans. Circuits Syst. Video Technol., 2019)

PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic Segmentation. - Yue Liu; Zhichao Lian (ICPR, 2020)

A Novel Unsupervised Hashing Method for Image Retrieval Based on K-Reciprocal Nearest Neighbors. - Jinping Wang; Zhichao Lian (PRCV (2), 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)

Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images. - Jie Song 014; Liang Xiao 001; Mohsen Molaei; Zhichao Lian (CoRR, 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 001 (J. Circuits Syst. Comput., 2020)

A Real Time Face Tracking System based on Multiple Information Fusion. - Zhichao Lian; Shuai Shao; Chanying Huang (Multim. Tools Appl., 2020)

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)

Dual Attention Triplet Hashing Network for Image Retrieval. - Zhukai Jiang; Zhichao Lian; Jinping Wang (Frontiers Neurorobotics, 2021)

Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images. - Jie Song 014; Liang Xiao 001; Mohsen Molaei; Zhichao Lian (IEEE Trans. Image Process., 2021)

IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems. - Luopu Liang; Bowen Guo; Zhichao Lian; Qianmu Li; Huiyun Jing (APWeb/WAIM (3), 2022)

A Semantic Segmentation Algorithm Based on Contrastive Learning Using Aligned Feature Samples. - Xibei Jia; Zhichao Lian (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Local Alignment with Global Semantic Consistence Network for Image-Text Matching. - Pengwei Li; Shihua Wu; Zhichao Lian (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A Spatio-Temporal Graph Transformer Network for Multi-Pedestrain Trajectory Prediction. - Jingfei Zhu; Zhichao Lian; Zhukai Jiang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A GAN-Based Framework For High-Fidelity Face Swapping. - Zheming Zuo; Zhichao Lian; Zhihui Wei (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval. - Zhukai Jiang; Zhichao Lian (ICANN (3), 2022)

A Novel Contrastive Learning Framework for Self-Supervised Anomaly Detection. - Jingze Li; Zhichao Lian; Min Li (ICIP, 2022)

An Effective Fusion Method to Enhance the Robustness of CNN. - Yating Ma; Zhichao Lian (ICIP, 2022)

Attention Based Adversarial Attacks with Low Perturbations. - Qingfu Huang; Zhichao Lian; Qianmu Li (ICME, 2022)

Fused Pruning based Robust Deep Neural Network Watermark Embedding. - Tengfei Li; Shuo Wang 017; Huiyun Jing; Zhichao Lian; Shunmei Meng; Qianmu Li (ICPR, 2022)

Self-supervised Visual-Semantic Embedding Network Based on Local Label Optimization. - Zhukai Jiang; Zhichao Lian (ML4CS (3), 2022)

Detecting and Classifying Adversarial Examples Based on DCT Transform. - Yating Ma; Ruiqi Zha; Zhichao Lian (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

High Fidelity Motion Adaptive Face Reenactment. - Changle Shao; Zhichao Lian; Zhihui Wei (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Block shuffling learning for Deepfake Detection. - Sitong Liu; Zhichao Lian; Siqi Gu; Liang Xiao 001 (CoRR, 2022)

A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting. - Siqi Gu; Zhichao Lian (CoRR, 2022)

Classification of ADHD Patients by Kernel Hierarchical Extreme Learning Machine. - Sartaj Ahmed Salman; Zhichao Lian; Yuduo Zhang (CoRR, 2022)

Understanding CNNs from excitations. - Zijian Ying; Qianmu Li; Zhichao Lian (CoRR, 2022)

Real-centric Consistency Learning for Deepfake Detection. - Ruiqi Zha; Zhichao Lian; Qianmu Li; Siqi Gu (CoRR, 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)

Adversarial Patch Attacks Against Aerial Imagery Object Detectors Based on Interpretable Guidance. - Fengyi Liu; Zhichao Lian (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Intrusion Detection System Based on Adversarial Domain Adaptation Algorithm. - Jiahui Fei; Yunpeng Sun; Yuejin Wang; Zhichao Lian (GPC (1), 2023)

Integration Model of Deep Forgery Video Detection Based on rPPG and Spatiotemporal Signal. - Lujia Yang; Wenye Shu; Yongjia Wang; Zhichao Lian (GPC (1), 2023)

Multi-convolution and Adaptive-Stride Based Transferable Adversarial Attacks. - Shuo Wang; Qingfu Huang; Zhichao Lian (ICANN (5), 2023)

Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation. - Jie Song 014; Ziyun Cai; Yurong Song; Guoping Jiang; Zhichao Lian; Liang Xiao 001 (ICIP, 2023)

Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention. - Chongyi Lv; Zhichao Lian (ICONIP (15), 2023)

MIC: An Effective Defense Against Word-Level Textual Backdoor Attacks. - Shufan Yang; Qianmu Li; Zhichao Lian; Pengchuan Wang; Jun Hou 002 (ICONIP (6), 2023)

Interpretable attribution based on concept vectors. - Lu Liu; Zhichao Lian (ICPADS, 2023)

Full-coverage Invisible Camouflage For Adversarial Targeted Attack. - Hongtuo Zhou; Zhichao Lian (ICPADS, 2023)

Boost Adversarial Transferability by Uniform Scale and Mix Mask Method. - Tao Wang 108; Zijian Ying; Qianmu Li; Zhichao Lian (CoRR, 2023)

A unified RGB-T crowd counting learning framework. - Siqi Gu; Zhichao Lian (Image Vis. Comput., 2023)

Interpretable Model-Agnostic Explanations Based on Feature Relationships for High-Performance Computing. - Zhouyuan Chen; Zhichao Lian; Zhe Xu (Axioms, 2023)

Deep Open-Curve Snake for Discriminative 3D Neuron Tracking. - Jie Song 014; Zhichao Lian; Liang Xiao 001 (IEEE J. Biomed. Health Informatics, 2023)

Boosting Adversarial Transferability by Uniform Scale and Mix Mask Method. - Tao Wang 108; Qianmu Li; Zhichao Lian; Zijian Ying; Fan Liu; Shunmei Meng (ADMA (6), 2024)

Network Intrusion Detection Algorithm Based on LightGBM Model and Improved Particle Swarm Optimization. - Yican Geng; Haoyang Hu; Zhaoxuan Ge; Zhichao Lian (CyberSciTech, 2024)

Millimetre-Wave Human Image Dangerous Object Detection Based on Faster R-CNN. - Bo He; Yang Gao; Jing Cao; Weining Cai; Xin Ma; Xiaoyu Zhao; Zhichao Lian (CyberSciTech, 2024)

Fake News Detection Based on Contrast Learning and Cascading Attention. - Fu Li; Hui Zhang; Zhichao Lian; Shujuan Wang (CyberSciTech, 2024)

Enhancing Adversarial Patch Effectiveness for Face Recognition Systems Using Sharpness-Aware Minimization. - Chenyu Wu; Ting Zhang; Zhixian Li; Zhichao Lian (CyberSciTech, 2024)

Integrated Evaluation System for Intelligent Model. - Xizhi Yang; Zhichao Lian (CyberSciTech, 2024)

Multi-texture Fusion Attack: A Robust Adversarial Camouflage in Physical World. - Yisheng Li; Xuekang Peng; Zhichao Lian (ICIC (9), 2024)

Multi-target Attention Dispersion Adversarial Attack Against Aerial Object Detector. - Panpan Wang; Shujuan Wang; Zhichao Lian; Shuohao Li (ICPR (4), 2024)

Towards Generalizable Forgery Detection Model via Alignment and Fine-tuning. - Xuekang Peng; Yisheng Li; Zhichao Lian (ISPA, 2024)

Deepfake Video Detection Based on the Decomposition of Spatial-Temporal Attention Mechanism in ViViT. - Guoqing Sun; Zhichao Lian (ISPA, 2024)

A DDoS Detection Model Based on Feature Construction and Deep Forest. - Shuangquan Zhang; Yunpeng Sun; Jiahui Fei; Rui Zhang; Peng Gao; Zhichao Lian (ISPA, 2024)

A Novel Explainable Method based on Grad-CAM for Network Intrusion Detection. - Yunpeng Sun; Zhichao Lian; Shuangquan Zhang; Zhanfeng Wang; Tao Duan (QRS, 2024)

Intrusion Detection System Based on FastICA and Multi-Grained Cascaded Forest. - Jiahui Fei; Shuangquan Zhang; Zhichao Lian (SMC, 2024)

AAFM-Net: An Ensemble CNN with Auxiliary Attention Filtering Module for Intrusion Detection. - Yunpeng Sun; Shuangquan Zhang; Zhichao Lian (SMC, 2024)

RPID: Boosting Transferability of Adversarial Attacks on Vision Transformers. - Shujuan Wang; Panpan Wang; Yunpeng Sun; Zhichao Lian; Shuohao Li (SMC, 2024)

Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability. - Zijian Ying; Qianmu Li; Tao Wang 108; Zhichao Lian; Shunmei Meng; Xuyun Zhang (CoRR, 2024)

Enhancing consistency in virtual try-on: A novel diffusion-based approach. - Chenglin Zhou; Wei Zhang; Zhichao Lian (Image Vis. Comput., 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)

Convergent Grey Wolf Optimizer Metaheuristics for Scheduling Crowdsourcing Applications in Mobile Edge Computing. - Zhichao Lian; Jiangang Shu; Yi Zhang 025; Jin Sun 001 (IEEE Internet Things J., 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., 2024)

Adversarial purification of information masking. - Sitong Liu; Zhichao Lian; Shuangquan Zhang; Liang Xiao 001 (Neurocomputing, 2025)

Centroid-based Contrastive Consistency Learning for transferable deepfake detection. - Ruiqi Zha; Zhichao Lian; Qianmu Li (Neurocomputing, 2025)

InpaintingPose: Enhancing human pose transfer by image inpainting. - Wei Zhang; Chenglin Zhou; Xuekang Peng; Zhichao Lian (Image Vis. Comput., 2025)

Understanding Convolutional Neural Networks From Excitations. - Zijian Ying; Qianmu Li; Zhichao Lian; Jun Hou 002; Tong Lin; Tao Wang 108 (IEEE Trans. Neural Networks Learn. Syst., 2025)

BERTector: Intrusion Detection Based on Joint-Dataset Learning. - Haoyang Hu; Xun Huang; Chenyu Wu; Shiwen Liu; Zhichao Lian; Shuangquan Zhang (CoRR, 2025)