A Novel Deep Learning Network Architecture with Cross-Layer Neurons. - Zeng Yu 001; Ning Yu 004; Yi Pan 001; Tianrui Li 001 (BDCloud-SocialCom-SustainCom, 2016)

A deep learning method for lincRNA identification using auto-encoder algorithm. - Ning Yu 004; Zeng Yu 001; Yi Pan 001 (ICCABS, 2016)

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks. - Wei Peng 004; Wei Lan; Zeng Yu 001; Jianxin Wang 001; Yi Pan 001 (ISBRA, 2016)

A Comprehensive Review of Emerging Computational Methods for Gene Identification. - Ning Yu 004; Zeng Yu 001; Bing Li 012; Feng Gu 001; Yi Pan 001 (J. Inf. Process. Syst., 2016)

An incremental approach for attribute reduction based on knowledge granularity. - Yunge Jing; Tianrui Li 001; Chuan Luo 001; Shi-Jinn Horng; Guoyin Wang 001; Zeng Yu 001 (Knowl. Based Syst., 2016)

Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation. - Ning Yu 004; Zeng Yu 001; Feng Gu 001; Yi Pan 001 (ISBRA, 2017)

A deep learning method for lincRNA detection using auto-encoder algorithm. - Ning Yu 004; Zeng Yu 001; Yi Pan 001 (BMC Bioinform., 2017)

Three-Stream Convolutional Networks for Video-based Person Re-Identification. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Xun Gong 002; Ke Chen; Yi Pan 001 (CoRR, 2017)

An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view. - Yunge Jing; Tianrui Li 001; Hamido Fujita; Zeng Yu 001; Bin Wang 045 (Inf. Sci., 2017)

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. - Ning Yu 004; Zeng Yu 001; Feng Gu 001; Tianrui Li 001; Xinmin Tian; Yi Pan 001 (J. Inf. Process. Syst., 2017)

Survey on encoding schemes for genomic data representation and feature learning - from signal processing to machine learning. - Ning Yu 004; Zhihua Li; Zeng Yu 001 (Big Data Min. Anal., 2018)

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. - Shengdong Du; Tianrui Li 001; Xun Gong 002; Zeng Yu 001; Shi-Jinn Horng (CoRR, 2018)

Convolutional networks with cross-layer neurons for image recognition. - Zeng Yu 001; Tianrui Li 001; Guangchun Luo; Hamido Fujita; Ning Yu 004; Yi Pan 001 (Inf. Sci., 2018)

Hierarchical Region Merging for Multi-scale Image Segmentation. - Xiaojun Ma; Bo Peng 006; Xun Gong 002; Zeng Yu 001; Tianrui Li 001 (ISKE, 2019)

Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure. - Chao Wang; Bo Peng 006; Xun Gong 002; Zeng Yu 001; Tianrui Li 001 (ISKE, 2019)

Three-Stream Convolutional Networks for Video-based Person Re-Identification. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Xun Gong 002 (ISKE, 2019)

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zeng Yu 001; Tianrui Li 001 (CoRR, 2019)

Reconstruction of Hidden Representation for Robust Feature Extraction. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Yi Pan 001; Hongmei Chen 001; Bing Liu 001 (ACM Trans. Intell. Syst. Technol., 2019)

Multi-source information fusion based on rough set theory: A review. - Pengfei Zhang 016; Tianrui Li 001; Guoqiang Wang; Chuan Luo 001; Hongmei Chen 001; Junbo Zhang; Dexian Wang 001; Zeng Yu 001 (Inf. Fusion, 2021)

Unsupervised attribute reduction for mixed data based on fuzzy rough sets. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Zeng Yu 001; Binbin Sang; Chuan Luo 001 (Inf. Sci., 2021)

Tri-regularized nonnegative matrix tri-factorization for co-clustering. - Ping Deng 002; Tianrui Li 001; Hongjun Wang 002; Shi-Jinn Horng; Zeng Yu 001; Xiaomin Wang (Knowl. Based Syst., 2021)

Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning. - Muhammad Hafeez Javed; Zeng Yu 001; Tianrui Li 001; Taha M. Rajeh; Fahad Rafique; Syed Waqar (Int. J. Mach. Learn. Cybern., 2022)

Content-Based Video Clustering Using Hybrid Multi -View Spatio- Temporal Feature Learning. - Muhammad Hafeez Javed; Zeng Yu 001; Taha M. Rajeh; Fares Alhaek; Tianrui Li 001 (ISKE, 2023)

Gaussian Function Representation of 2nd-Order Normal Cloud Model. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (ISKE, 2023)

A Parted-based Method for Unsupervised Visible-Infrared Re-identification. - Yunxiao Shi; Zeng Yu 001; Tianrui Li 001; Shengdong Du; Yeyiran Jing (ISKE, 2023)

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data. - Xiaoling Yang; Hongmei Chen 001; Hao Wang 068; Tianrui Li 001; Zeng Yu 001; Zhihong Wang; Chuan Luo 001 (IEEE Trans. Fuzzy Syst., 2023)

learning anomalous human actions using frames of interest and decoderless deep embedded clustering. - Muhammad Hafeez Javed; Zeng Yu 001; Tianrui Li 001; Noreen Anwar; Taha M. Rajeh (Int. J. Mach. Learn. Cybern., 2023)

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. - Peng Xie 002; Minbo Ma; Tianrui Li 001; Shenggong Ji; Shengdong Du; Zeng Yu 001; Junbo Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems. - Muhammad Hafeez Javed; Tianrui Li 001; Zeng Yu 001; Ayyaz Hussain; Taha M. Rajeh; Fan Zhang 108 (Knowl. Based Syst., 2023)

Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification. - Zeng Yu 001; Yunxiao Shi (CoRR, 2024)

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (Int. J. Mach. Learn. Cybern., 2024)

Clustering-based multi-featured self-supervised learning for human activities and video retrieval. - Muhammad Hafeez Javed; Zeng Yu 001; Taha M. Rajeh; Fahad Rafique; Tianrui Li 001 (Appl. Intell., 2024)