Biological neural network based chemotaxis behaviors modeling of C. elegans. - Jian-Xin Xu 001; Xin Deng 003 (IJCNN, 2010)

GA based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems. - Deqing Huang; Jian-Xin Xu 001; Xin Deng 003; Venkatakrishnan Venkataramanan; The Cat Tuong Huynh (IEEE Congress on Evolutionary Computation, 2012)

Complex chemotaxis behaviors of C. elegans with speed regulation achieved by dynamic neural networks. - Jian-Xin Xu 001; Xin Deng 003 (IJCNN, 2012)

Biological modeling of complex chemotaxis behaviors for C. elegans under speed regulation - a dynamic neural networks approach. - Jian-Xin Xu 001; Xin Deng 003 (J. Comput. Neurosci., 2013)

Modeling the undulatory locomotion of C. elegans based on the proprioceptive mechanism. - Xin Deng 003; Qinyuan Ren; Ying Du; Guoyin Wang 001; Rongkun Wu; Xiang Si (ISIE, 2014)

On trackability of a moving target by fixed-wing UAV using geometric approach. - Zhirong He; Jian-Xin Xu 001; Shiping Yang; Qinyuan Ren; Xin Deng 003 (ISIE, 2014)

A novel multi-feature fusion and sparse coding-based framework for image retrieval. - Qiaosong Chen; Yuanyuan Ding; Hai Li; Xi Wang; Jin Wang 006; Xin Deng 003 (SMC, 2014)

Affine invariant features-based tone mapping algorithm for high dynamic range images. - Qiaosong Chen; Hai Li; Yuanyuan Ding; Chang Liu 017; Jin Wang 006; Xin Deng 003 (SMC, 2014)

A 3D undulatory locomotion model inspired by C. elegans through DNN approach. - Xin Deng 003; Jian-Xin Xu 001 (Neurocomputing, 2014)

An efficient contents-adaptive backlight control method for mobile devices. - Qiaosong Chen; Yaxing Yan; Xiaomou Zhang; Hua Cai; Xin Deng 003; Jin Wang 006 (MOBMU, 2015)

Study on the 3D printed robotic fish with autonomous obstacle avoidance behavior based on the adaptive neuro-fuzzy control. - Xin Deng 003; Dingli Jiang; Jin Wang 006; Mingxu Li; Qiaosong Chen (IECON, 2015)

Generation undulatory locomotion of C. elegans in A crawling robot via biomimetic learning. - Qinyuan Ren; Xin Deng 003; Jianxin Xu 001 (ICCA, 2016)

A fast multi-scale decomposition based tone mapping algorithm for High Dynamic Range images. - Qiaosong Chen; Xiao Liu; Huiqiong Ran; Shizhou Dong; Dongcan Cui; Xin Deng 003; Jin Wang 006 (SMC, 2016)

Biological modeling the undulatory locomotion of C. elegans using dynamic neural network approach. - Xin Deng 003; Jian-Xin Xu 001; Jin Wang 006; Guoyin Wang 001; Qiaosong Chen (Neurocomputing, 2016)

Scalable Object Detection Using Deep but Lightweight CNN with Features Fusion. - Qiaosong Chen; Shangsheng Feng; Pei Xu; Lexin Li; Ling Zheng; Jin Wang 006; Xin Deng 003 (ICIG (1), 2017)

A multi-scale fusion convolutional neural network for face detection. - Qiaosong Chen; Xiaomin Meng; Wen Li; Xingyu Fu; Xin Deng 003; Jin Wang 006 (SMC, 2017)

Differential evolution based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems. - Deqing Huang; Jianxin Xu 001; Xin Deng 003; Venkatakrishnan Venkataramanan; The Cat Tuong Huynh (Int. J. Autom. Comput., 2017)

Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual. - Furong Xu; Ke Liu 008; Xin Deng 003; Guoyin Wang 001 (BI, 2019)

Residual Dense Information Distillation Network for Single Image Super-Resolution. - Qiaosong Chen; Jinxin Li; Bolin Duan; Liu Pu; Xin Deng 003; Jin Wang 006 (SMC, 2019)

Three Branch net Lane Detection on Complex Road Conditions. - Qiaosong Chen; Zhixiang Wang; Baijun Long; Xiaoxu Sui; Meng Zhang; Xin Deng 003; Jin Wang 006 (SMC, 2019)

Multi-target regression via target specific features. - Jin Wang 006; Zhiliang Chen; Kai-wei Sun; Hang Li; Xin Deng 003 (Knowl. Based Syst., 2019)

Deep LSTM Transfer Learning for Personalized ECG Anomaly Detection on Wearable Devices. - Xin Deng 003; Jianqiao Zhou; Bin Xiao; Xiaohong Xiang; Yi Yuan (ICCSIP, 2020)

EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. - Hongbo Wang; Ke Liu 008; Feifei Qi; Xin Deng 003; Peiyang Li (ICCSIP, 2020)

Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI. - Zhenhua Li; Ke Liu 008; Xin Deng 003; Guoyin Wang 001 (Biomed. Signal Process. Control., 2020)

A Robust and Automatic Recognition Method of Pointer Instruments in Power System. - Jian-Xun Mi; Xu-Dong Wang; Qing-Yun Yang; Xin Deng 003 (ICIC (1), 2021)

Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces. - Xin Deng 003; Boxian Zhang; Nian Yu; Ke Liu 008; Kaiwei Sun (IEEE Access, 2021)

EEG Analysis of Working Memory Between Sober State and Intoxicated State. - Xin Deng 003; Pengfei Yang; Xiangwei Lv; Ke Liu 008; Kaiwei Sun (IEEE Access, 2021)

Learning local instance correlations for multi-target regression. - Kaiwei Sun; Mingxin Deng; Hang Li; Jin Wang 006; Xin Deng 003 (Appl. Intell., 2021)

EEG extended source imaging with structured sparsity and L1-norm residual. - Furong Xu; Ke Liu 008; Zhuliang Yu; Xin Deng 003; Guoyin Wang 001 (Neural Comput. Appl., 2021)

News Recommendation with Multi-views Emotion Analysis. - Han Yun; Xin Deng 003; Yulu Du (AISS, 2022)

P2SL: Private-Shared Subspaces Learning for Affective Video Content Analysis. - Qi Wang; Xiaohong Xiang; Jun Zhao; Xin Deng 003 (ICME, 2022)

Item-Behavior Sequence Session-Based Recommendation. - Wangshanyin Zhao; Xiaohong Xiang; Xin Deng 003; Wenxing Zheng; Hao Zhang (NCAA (1), 2022)

Classifying ASD based on time-series fMRI using spatial-temporal transformer. - Xin Deng 003; Jiahao Zhang; Rui Liu 038; Ke Liu 008 (Comput. Biol. Medicine, 2022)

SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination. - Xin Deng 003; Xufeng Fan; Xiangwei Lv; Kaiwei Sun (Frontiers Neuroinformatics, 2022)

Visualization Enhancement of Saliency Methods Based on the Sliding Window Mechanism. - Xiaohong Xiang; Fuyuan Zhang; Xin Deng 003; Xiaoyu Ding (ECAI, 2023)

MSG-CAM:Multi-scale inputs make a better visual interpretation of CNN networks. - Xiaohong Xiang; Fuyuan Zhang; Xin Deng 003; Ke Hu (ICME, 2023)

Multi-modal Fine-grained Retrieval with Local and Global Cross-Attention. - Qiaosong Chen; Ye Zhang; Junzhuo Liu 001; Zhixiang Wang; Xin Deng 003; Jin Wang 006 (ICUFN, 2023)

Stepwise Fusion Transformer for Affective Video Content Analysis. - Zeyu Chen; Xiaohong Xiang; Xin Deng 003; Qi Wang (NCAA (2), 2023)

Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs. - Fuyuan Zhang; Xiaohong Xiang; Xin Deng 003; Xiaoyu Ding (NCAA (2), 2023)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction. - Bin Liu 058; Siqi Wu; Jin Wang 006; Xin Deng 003; Ao Zhou (ECML/PKDD (6), 2024)

Enhanced Spatial and Temporal Feature Integration for fMRI-Based ASD Classification. - Minghui Tan; Xin Deng 003; Lianhua Zhang; Hao Zhang; Daijiang Xu (CIS-RAM, 2024)

A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data. - Xin Deng 003; Chenhui Li 003; Xinyi Hong; Huaxiang Huo; Hongxing Qin (Biomed. Signal Process. Control., 2024)

Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding. - Xianlun Tang; Shifei Wang; Xin Deng 003; Ke Liu 008; Yin Tian; Huiming Wang 002; Xinbo Gao 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data. - Xingchen Li; Xianlun Tang; Sichao Qiu; Xin Deng 003; Huiming Wang 002; Yin Tian (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multi-level feature fusion network combining attention mechanisms for polyp segmentation. - Junzhuo Liu 001; Qiaosong Chen; Ye Zhang; Zhixiang Wang; Xin Deng 003; Jin Wang 006 (Inf. Fusion, 2024)

Multi-Source Reinforced Selective Domain Adaptation for Cross-Subject and Cross-Session EEG-Based Emotion Recognition. - Xin Deng 003; Xinyi Hong; LiJiao Ai; Xingchen Li; Chenhui Li 003 (IEEE Access, 2025)

Multi-level hierarchical dynamic graph convolutional networks for motor imagery EEG analysis. - Xin Deng 003; Daijiang Xu; Huaxiang Huo; Xinyi Hong; Bin Liu 058 (Neurocomputing, 2025)