A Cellular Automata Model for a Learning Process. - Ming-Feng He; Cheng-Rui Deng; Lin Feng 001; Bo-Wen Tian (Adv. Complex Syst., 2004)

An Ontology Solution for Government Horizon Business Integration in Multi-agent Settings. - Lin Feng 001; Dingming Guo; Tao Sun (IAT Workshops, 2006)

A similarity measure of Jumping Dynamic Time Warping. - Lin Feng 001; Xiaoyan Zhao; Yiwei Liu; Yuan Yao; Bo Jin 001 (FSKD, 2010)

Improving the index structure with hierarchical techniques in time-series databases. - Tao Sun; Junwei Liu; Lin Feng 001 (FSKD, 2010)

Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection. - Lin Feng 001; Le Wang; Bo Jin 001 (J. Convergence Inf. Technol., 2010)

A packet buffer evaluation method exploiting queueing theory for wireless sensor networks. - Tie Qiu 001; Lin Feng 001; Feng Xia 001; Guowei Wu; Yu Zhou 031 (Comput. Sci. Inf. Syst., 2011)

A localization strategy based on n-times trilateral centroid with weight. - Tie Qiu 001; Yu Zhou 031; Feng Xia 001; Naigao Jin; Lin Feng 001 (Int. J. Commun. Syst., 2012)

Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks. - Lin Feng 001; Zhenlong Sun; Tie Qiu 001 (CISIS, 2013)

Queueing model analysis and scheduling strategy for embedded multi-core SoC based on task priority. - Tie Qiu 001; Lin Feng 001; He Jiang; Weifeng Sun (Comput. Electr. Eng., 2013)

A Localization Strategy Based on N-times Trilateral Centroid with Weight. - Tie Qiu 001; Yu Zhou 031; Feng Xia 001; Naigao Jin; Lin Feng 001 (CoRR, 2013)

UT-Tree: Efficient mining of high utility itemsets from data streams. - Lin Feng 001; Le Wang; Bo Jin 001 (Intell. Data Anal., 2013)

Maximal Similarity Embedding. - Lin Feng 001; Shenglan Liu 001; Zhen-Yu Wu; Bo Jin 001 (Neurocomputing, 2013)

AT-Mine: An Efficient Algorithm of Frequent Itemset Mining on Uncertain Dataset. - Le Wang; Lin Feng 001; Mingfei Wu (J. Comput., 2013)

A coverage strategy for wireless sensor networks in a three-dimensional environment. - Lin Feng 001; Tie Qiu 001; Zhenlong Sun; Feng Xia 001; Yu Zhou 031 (Int. J. Ad Hoc Ubiquitous Comput., 2014)

Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table. - Le Wang; Lin Feng 001; Bo Jin 001 (Int. J. Comput. Intell. Syst., 2014)

Robust activation function and its application: Semi-supervised kernel extreme learning method. - Shenglan Liu 001; Lin Feng 001; Yao Xiao; Huibing Wang (Neurocomputing, 2014)

UDS-FIM: An Efficient Algorithm of Frequent Itemsets Mining over Uncertain Transaction Data Streams. - Le Wang; Lin Feng 001; Mingfei Wu (J. Softw., 2014)

An Energy-Efficient Self-Organization Routing Strategy in Tree Networks. - Lin Feng 001; Yu Zhou 031; Tie Qiu 001 (EAI Endorsed Trans. Energy Web, 2015)

A novel CBIR system with WLLTSA and ULRGA. - Lin Feng 001; Shenglan Liu 001; Yao Xiao; Qiao Hong; Bin Wu (Neurocomputing, 2015)

Locality Structured Sparsity Preserving Embedding. - Lin Feng 001; Huibing Wang; Shenglan Liu 001; Hongwei Zhang (Int. J. Pattern Recognit. Artif. Intell., 2015)

Global Correlation Descriptor: A novel image representation for image retrieval. - Lin Feng 001; Jun Wu 008; Shenglan Liu 001; Hongwei Zhang (J. Vis. Commun. Image Represent., 2015)

Scatter Balance: An Angle-Based Supervised Dimensionality Reduction. - Shenglan Liu 001; Lin Feng 001; Hong Qiao (IEEE Trans. Neural Networks Learn. Syst., 2015)

An Efficient Tree-Based Self-Organizing Protocol for Internet of Things. - Tie Qiu 001; Xize Liu; Lin Feng 001; Yu Zhou 031; Kaiyu Zheng (IEEE Access, 2016)

A Convolutional Neural Network Model for Online Medical Guidance. - Cuili Yao; Yue Qu; Bo Jin 001; Li Guo 008; Chao Li; Wenjuan Cui; Lin Feng 001 (IEEE Access, 2016)

A Novel Multi-Feature Representation of Images for Heterogeneous IoTs. - Laihang Yu; Lin Feng 001; Chen Chen 006; Tie Qiu 001; Li Li 045; Jun Wu 008 (IEEE Access, 2016)

Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect. - Shenglan Liu 001; Muxin Sun; Lin Feng 001; Yang Liu 066; Jun Wu 008 (CoRR, 2016)

Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Yang Liu 066; Hong Qiao; Wenbo Luo; Muxin Sun; Wei Wang 036 (CoRR, 2016)

Multi-view Sparsity Preserving Projection for dimension reduction. - Huibing Wang; Lin Feng 001; Laihang Yu; Jing Zhang 028 (Neurocomputing, 2016)

Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns. - Li Li 045; Lin Feng 001; Laihang Yu; Jun Wu 008; Shenglan Liu 001 (J. Electronic Imaging, 2016)

Extend semi-supervised ELM and a frame work. - Shenglan Liu 001; Lin Feng 001; Huibing Wang; Yao Xiao (Neural Comput. Appl., 2016)

Local extreme learning machine: local classification model for shape feature extraction. - Jing Zhang 028; Lin Feng 001; Bin Wu (Neural Comput. Appl., 2016)

Metric learning with geometric mean for similarities measurement. - Huibing Wang; Lin Feng 001; Yang Liu 066 (Soft Comput., 2016)

Semantic Discriminative Metric Learning for Image Similarity Measurement. - Huibing Wang; Lin Feng 001; Jing Zhang 028; Yang Liu 066 (IEEE Trans. Multim., 2016)

Hashing Based State Variation for Human Motion Segmentation. - Yang Liu 066; Lin Feng 001; Muxin Sun; Shenglan Liu 001 (CCCV (3), 2017)

A Transferable Framework: Classification and Visualization of MOOC Discussion Threads. - Lin Feng 001; Guochao Liu; Sen Luo; Shenglan Liu 001 (ICONIP (4), 2017)

Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks. - Shenglan Liu 001; Lin Feng 001; Jun Wu 008; Gang Hou; Guangjie Han (Comput. Electr. Eng., 2017)

Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Feilong Wang (CoRR, 2017)

Rough extreme learning machine: a new classification method based on uncertainty measure. - Shuliang Xu; Lin Feng 001; Feilong Wang; Shenglan Liu 001 (CoRR, 2017)

Hand Gesture Recognition with Leap Motion. - Youchen Du; Shenglan Liu 001; Lin Feng 001; Menghui Chen; Jie Wu (CoRR, 2017)

Music Genre Classification with Paralleling Recurrent Convolutional Neural Network. - Lin Feng 001; Shenglan Liu 001; Jianing Yao (CoRR, 2017)

Multi-view metric learning based on KL-divergence for similarity measurement. - Huibing Wang; Lin Feng 001; Xiangzhu Meng; Zhaofeng Chen; Laihang Yu; Hongwei Zhang (Neurocomputing, 2017)

Spectral embedding-based multiview features fusion for content-based image retrieval. - Lin Feng 001; Laihang Yu; Hai Zhu (J. Electronic Imaging, 2017)

Image retrieval framework based on texton uniform descriptor and modified manifold ranking. - Jun Wu 008; Lin Feng 001; Shenglan Liu 001; Muxin Sun (J. Vis. Commun. Image Represent., 2017)

A novel target tracking method based on OSELM. - Jing Zhang 028; Lin Feng 001; Laihang Yu (Multidimens. Syst. Signal Process., 2017)

Robust discriminative extreme learning machine for relevance feedback in image retrieval. - Shenglan Liu 001; Lin Feng 001; Yang Liu 066; Jun Wu 008; Muxin Sun; Wei Wang 036 (Multidimens. Syst. Signal Process., 2017)

Multi-view spectral clustering via robust local subspace learning. - Lin Feng 001; Lei Cai; Yang Liu 066; Shenglan Liu 001 (Soft Comput., 2017)

Automatic Feature Learning for MOOC Forum Thread Classification. - Lin Feng 001; Huimin Lu; Shenglan Liu 001; Guochao Liu; Sen Luo (ICBDC, 2018)

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (IEEE Access, 2018)

An Ensemble Extreme Learning Machine for Data Stream Classification. - Rui Yang 023; Shuliang Xu; Lin Feng 001 (Algorithms, 2018)

Perceptual Visual Interactive Learning. - Shenglan Liu 001; Xiang Liu; Yang Liu 066; Lin Feng 001; Hong Qiao; Jian Zhou; Yang Wang (CoRR, 2018)

Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Sen Luo; Deqin Yan (Neurocomputing, 2018)

Perceptual uniform descriptor and ranking on manifold for image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Hong Qiao; Yang Liu 066; Wenbo Luo; Wei Wang 036 (Inf. Sci., 2018)

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval. - Laihang Yu; Lin Feng 001; Huibing Wang; Li Li 045; Yang Liu 066; Shenglan Liu 001 (Signal Image Video Process., 2018)

Global similarity preserving hashing. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (Soft Comput., 2018)

Manifold Warp Segmentation of Human Action. - Shenglan Liu 001; Lin Feng 001; Yang Liu 066; Hong Qiao; Jun Wu 008; Wei Wang 036 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Neighborhood Graph Embedding for Nodes Clustering of Social Network. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (HPCC/SmartCity/DSS, 2019)

Color Recognition for Rubik's Cube Robot. - Lin Feng 001; Dong Jiang; Aibin Zhang; Shenglan Liu 001; Feilong Wang; Yang Liu 066 (SmartIoT, 2019)

A Fast Online Cascaded Regression Algorithm for Face Alignment. - Lin Feng 001; Caifeng Liu; Shenglan Liu 001; Huibing Wang (SmartIoT, 2019)

A Greedy Multiple Fixed Node Networking Algorithm for Indoor Environmental Monitoring Scenarios. - Shengming Li; Wenqiang Xu; Lin Feng 001; Tie Qiu 001 (SmartIoT, 2019)

Face Alignment via Multi-Regressors Collaborative Optimization. - Caifeng Liu; Lin Feng 001; Huibing Wang; Bin Wu (IEEE Access, 2019)

Color Recognition for Rubik's Cube Robot. - Shenglan Liu 001; Dong Jiang; Lin Feng 001; Feilong Wang; Zhanbo Feng; Xiang Liu; Shuai Guo 002; Bingjun Li; Yuchen Cong (CoRR, 2019)

Hierarchic Neighbors Embedding. - Shenglan Liu 001; Yang Yu; Yang Liu 066; Hong Qiao; Lin Feng 001; Jiashi Feng (CoRR, 2019)

Rough extreme learning machine: A new classification method based on uncertainty measure. - Lin Feng 001; Shuliang Xu; Feilong Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2019)

Multi-view laplacian least squares for human emotion recognition. - Shuai Guo 002; Lin Feng 001; Zhanbo Feng; Yi-Hao Li; Yang Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2019)

An ELM based local topology preserving hashing. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (Int. J. Mach. Learn. Cybern., 2019)

Fuzzy rough clustering for categorical data. - Shuliang Xu; Shenglan Liu 001; Jian Zhou; Lin Feng 001 (Int. J. Mach. Learn. Cybern., 2019)

Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. - Lin Feng 001; Huibing Wang; Bo Jin 001; Haohao Li; Mingliang Xue; Le Wang (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. - Lin Feng 001; Zhenning Lu; Shenglan Liu 001; Dong Jiang; Yang Liu 066; Lianyu Hu 002 (ICONIP (5), 2020)

A Discriminative STGCN for Skeleton Oriented Action Recognition. - Lin Feng 001; Qing Yuan; Yang Liu 066; Qianxin Huang; Shenglan Liu 001; Yingping Li (ICONIP (5), 2020)

Bionic Vision Descriptor for Image Retrieval. - Guangzhe Li; Shenglan Liu 001; Feilong Wang; Lin Feng 001 (ICONIP (1), 2020)

HFNet: A Novel Model for Human Focused Sports Action Recognition. - Lianyu Hu 002; Lin Feng 001; Shenglan Liu 001 (MMSports@MM, 2020)

Scatter Balance based Semi-supervised Dimensional Reduction. - Rui Yang 023; Xiangzhu Meng; Lin Feng 001 (SmartIoT, 2020)

Parallel Recurrent Convolutional Neural Networks-Based Music Genre Classification Method for Mobile Devices. - Rui Yang 023; Lin Feng 001; Huibing Wang; Jianing Yao; Sen Luo (IEEE Access, 2020)

Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. - Cuili Yao; Yuqiu Kong; Lin Feng 001; Bo Jin 001; Hui Si (IEEE Access, 2020)

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules. - Jian Zhou; Lin Feng 001; Ning Cai 002; Jie Yang (Complex., 2020)

FSD-10: A Dataset for Competitive Sports Content Analysis. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Lin Feng 001; Lianyu Hu 002; Dong Jiang; Aibin Zhang; Yang Liu 066; Hong Qiao (CoRR, 2020)

Self-adaption neighborhood density clustering method for mixed data stream with concept drift. - Shuliang Xu; Lin Feng 001; Shenglan Liu 001; Hong Qiao (Eng. Appl. Artif. Intell., 2020)

An incrementally cascaded broad learning framework to facial landmark tracking. - Caifeng Liu; Lin Feng 001; Shuai Guo 002; Huibing Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2020)

Fuzzy granularity neighborhood extreme clustering. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (Neurocomputing, 2020)

Deep attention based music genre classification. - Yang Yu; Sen Luo; Shenglan Liu 001; Hong Qiao; Yang Liu 066; Lin Feng 001 (Neurocomputing, 2020)

Cascade regression based on extreme learning machine for face alignment. - Caifeng Liu; Lin Feng 001; Huibing Wang; Shenglan Liu 001; Kaiyuan Liu (J. Electronic Imaging, 2020)

Multi-view Locality Low-rank Embedding for Dimension Reduction. - Lin Feng 001; Xiangzhu Meng; Huibing Wang (Knowl. Based Syst., 2020)

The similarity-consensus regularized multi-view learning for dimension reduction. - Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Knowl. Based Syst., 2020)

Manifold graph embedding with structure information propagation for community discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (Knowl. Based Syst., 2020)

Multi-feature weighting neighborhood density clustering. - Shuliang Xu; Lin Feng 001; Shenglan Liu 001; Jian Zhou; Hong Qiao (Neural Comput. Appl., 2020)

Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. - Lin Feng 001; Jian Zhou; Shenglan Liu 001; Ning Cai 002; Jie Yang (Scientometrics, 2020)

Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. - Lin Feng 001; Jian Zhou; Shenglan Liu 001; Ning Cai 002; Jie Yang (Scientometrics, 2020)

Multi-view reconstructive preserving embedding for dimension reduction. - Huibing Wang; Lin Feng 001; Adong Kong; Bo Jin 001 (Soft Comput., 2020)

Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition. - Xiang Li; Shenglan Liu 001; Yunheng Li; Hao Liu 029; Jinjing Zhao; Lin Feng 001; Guihong Lao; Guangzhe Li (ICONIP (2), 2021)

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition. - Hao Liu 029; Shenglan Liu 001; Lin Feng 001; Lianyu Hu 002; Xiang Li; Heyu Fu (ICONIP (2), 2021)

Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network. - Jian Zhou; Shenglan Liu 001; Lin Feng 001; Jie Yang; Ning Cai 002 (ICONIP (1), 2021)

Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (CoRR, 2021)

Deep graph convolution neural network with non-negative matrix factorization for community discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (CoRR, 2021)

A unified framework based on graph consensus term for multi-view learning. - Xiangzhu Meng; Lin Feng 001; Chonghui Guo (CoRR, 2021)

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation. - Xiangzhu Meng; Lin Feng 001; Huibing Wang (Eng. Appl. Artif. Intell., 2021)

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. - Lin Feng 001; Wenzhe Liu; Xiangzhu Meng; Yong Zhang 030 (Neurocomputing, 2021)

Efficient Two-Step Networks for Temporal Action Segmentation. - Yunheng Li; Zhuben Dong; Kaiyuan Liu; Lin Feng 001; Lianyu Hu 002; Jie Zhu; Li Xu; Yuhan Wang; Shenglan Liu 001 (Neurocomputing, 2021)

Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. - Cuili Yao; Lin Feng 001; Yuqiu Kong; Bo Jin 001; Yiwei Liu; Leheng Li (Neurocomputing, 2021)

Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval. - Guihong Lao; Shenglan Liu 001; Chenwei Tan; Yang Wang; Guangzhe Li; Li Xu; Lin Feng 001; Feilong Wang (J. Vis. Commun. Image Represent., 2021)

Bottom-up broadcast neural network for music genre classification. - Caifeng Liu; Lin Feng 001; Guochao Liu; Huibing Wang; Shenglan Liu 001 (Multim. Tools Appl., 2021)

An Ensemble Learning Method for Robot Electronic Nose with Active Perception. - Shengming Li; Lin Feng 001; Yunfei Ge; Li Zhu; Liang Zhao (Sensors, 2021)

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval. - Shenglan Liu 001; Muxin Sun; Lin Feng 001; Hong Qiao; Shuyuan Chen; Yang Liu 066 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Tensorized Multi-view Clustering via Hyper-graph Regularization. - Wenzhe Liu; Luyao Liu 001; Lin Feng 001; Huiyuan Deng (IJCNN, 2022)

Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection. - Yang Liu 066; Wanxiao Yang; Hangyou Yu; Lin Feng 001; Yuqiu Kong; Shenglan Liu 001 (PRCV (3), 2022)

Hybrid Convolutional-Transformer framework for drone-based few-shot weakly supervised object detection. - Shengming Li; Linsong Xue; Lin Feng 001; Cuili Yao; Dong Wang (Comput. Electr. Eng., 2022)

Adaptive multi-view multiple-means clustering via subspace reconstruction. - Wenzhe Liu; Luyao Liu 001; Yong Zhang 030; Huibing Wang; Lin Feng 001 (Eng. Appl. Artif. Intell., 2022)

Hierarchical multi-view metric learning with HSIC regularization. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Neurocomputing, 2022)

Double cross-modality progressively guided network for RGB-D salient object detection. - Cuili Yao; Lin Feng 001; Yuqiu Kong; Shengming Li; Hang Li (Image Vis. Comput., 2022)

ATDA: Attentional temporal dynamic activation for speech emotion recognition. - Lu-Yao Liu 001; Wenzhe Liu; Jian Zhou; Huiyuan Deng; Lin Feng 001 (Knowl. Based Syst., 2022)

Multimodal-aware weakly supervised metric learning with self-weighting triplet loss. - Huiyuan Deng; Xiangzhu Meng; Lin Feng 001 (Multim. Tools Appl., 2022)

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism. - Lin Feng 001; Cheng Cheng; Mingyan Zhao; Huiyuan Deng; Yong Zhang 030 (IEEE J. Biomed. Health Informatics, 2022)

Object detection network pruning with multi-task information fusion. - Shengming Li; Linsong Xue; Lin Feng 001; Yifan Wang; Dong Wang (World Wide Web, 2022)

Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework. - Wenxuan Guo; Shuo Du; Huiyuan Deng; Zikang Yu; Lin Feng 001 (IJCNN, 2023)

Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. - Zikang Yu; Cheng Cheng; Wujun Wen; Wenxuan Guo; Lin Feng 001 (IJCNN, 2023)

FBI-TAL: Foreground-Background Integration for Single-Frame Supervised Temporal Action Localization. - Yifeng Dong; Guangsheng Li; Feilong Wang; Wujun Wen; Xuehai Xu; Lin Feng 001 (ISKE, 2023)

Streaming Video Temporal Action Segmentation in Real Time. - Wujun Wen; Yunheng Li; Zhuben Dong; Lin Feng 001; Wanxiao Yang; Shen-lan Liu (ISKE, 2023)

A Data-Driven State Estimation Framework for Natural Gas Networks With Measurement Noise. - Yan Huang; Lin Feng 001; Yang Liu 066 (IEEE Access, 2023)

End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning. - Wujun Wen; Jinrong Zhang; Shenglan Liu 001; Yunheng Li; Qifeng Li; Lin Feng 001 (CoRR, 2023)

Enhanced tensor multi-view clustering via dual constraints. - Wenzhe Liu; Luyao Liu 001; Yong Zhang 030; Lin Feng 001 (Eng. Appl. Artif. Intell., 2023)

Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism. - Lin Feng 001; Lu-Yao Liu 001; Shenglan Liu 001; Jian Zhou; Han-Qing Yang; Jie Yang (Multim. Tools Appl., 2023)

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. - Xinying Wang 005; Cheng Cheng; Shenglan Liu 001; Ruoxi Song; Xiang-Hai Wang 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Interval State Estimation of Electricity-Gas Systems Considering Uncertainties of Network Parameters and Measurements. - Yan Huang; Lin Feng 001 (IEEE Trans. Instrum. Meas., 2023)

SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition. - Lu-Yao Liu 001; Wenzhe Liu; Lin Feng 001 (Speech Commun., 2023)

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. - Cheng Cheng; Yong Zhang 030; Luyao Liu 001; Wenzhe Liu; Lin Feng 001 (IEEE J. Biomed. Health Informatics, 2023)

UNIT: A unified metric learning framework based on maximum entropy regularization. - Huiyuan Deng; Xiangzhu Meng; Fengxia Deng; Lin Feng 001 (Appl. Intell., 2023)

OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Inf. Sci., 2023)

Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation. - Yule Liu; Zhuben Dong; Shenglan Liu 001; Wujun Wen; Lin Feng 001 (ICME, 2024)

Underwater image enhancement via cross-wise transformer network focusing on pre-post differences. - Zhixiong Huang; Jinjiang Li; Xinying Wang 005; Zhen Hua; Shenglan Liu 001; Lin Feng 001 (Appl. Soft Comput., 2024)

Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement. - Zhixiong Huang; Xinying Wang 005; Jinjiang Li; Shenglan Liu 001; Lin Feng 001 (CoRR, 2024)

GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images. - Xinying Wang 005; Zhixiong Huang; Sifan Zhang; Jiawen Zhu; Lin Feng 001 (CoRR, 2024)

A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. - Cheng Cheng; Wenzhe Liu; Zhaoxin Fan; Lin Feng 001; Ziyu Jia (Neural Networks, 2024)

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. - Cheng Cheng; Wenzhe Liu; Lin Feng 001; Ziyu Jia (Neural Networks, 2024)

A Primary task driven adaptive loss function for multi-task speech emotion recognition. - Lu-Yao Liu 001; Wenzhe Liu; Lin Feng 001 (Eng. Appl. Artif. Intell., 2024)

Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation. - Yun-Heng Li; Kai-Yuan Liu; Shenglan Liu 001; Lin Feng 001; Hong Qiao (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Unified Framework Based on Graph Consensus Term for Multiview Learning. - Xiangzhu Meng; Lin Feng 001; Chonghui Guo; Huibing Wang; Shu Wu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. - Cheng Cheng; Wenzhe Liu; Lin Feng 001; Ziyu Jia (IEEE Trans. Comput. Soc. Syst., 2024)

Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition. - Cheng Cheng; Zikang Yu; Yong Zhang 030; Lin Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cluster-Refined Optimal Transport for Unsupervised Action Segmentation. - Shijie Wang; Jinrong Zhang; Yule Liu; Shiyao Li; Lin Feng 001 (ICASSP, 2025)

S3-Net: Learning spectral-spatio self-similarity for hyperspectral image super-resolution. - Xinying Wang 005; Zhixiong Huang; Jiawen Zhu; Xianghai Wang 001; Lin Feng 001 (Neural Networks, 2025)

Lightweight Edge-Guided Super-Resolution Network for Remote Sensing Images. - Yining Wang; Zhixiong Huang; Xinying Wang 005; Shaodong Zhang; Shenglan Liu 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition. - Cheng Cheng; Wenzhe Liu; Xinying Wang 005; Lin Feng 001; Ziyu Jia (IEEE Trans. Multim., 2025)

End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning. - Jin-Rong Zhang; Wujun Wen; Sheng-Lan Liu; Gao Huang 001; Yun-Heng Li; Qifeng Li; Lin Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)