The Role of Data Analysis in the Development of Intelligent Energy Networks. - Zhanyu Ma; Jiyang Xie 001; Hailong Li; Qie Sun; Zhongwei Si; Jianhua Zhang 001; Jun Guo 002 (IEEE Netw., 2017)

SSE: A New Selective Initialization Strategy for Snapshot Ensembling. - Dongliang Chang; Xiaoxu Li; Jiyang Xie 001; Zhanyu Ma; Jun Guo 002; Jie Cao 014 (CCIS, 2018)

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Jen-Tzung Chien; Zhiqing Lin; Jun Guo 002 (MLSP, 2018)

SEA: A Combined Model for Heat Demand Prediction. - Jiyang Xie 001; Jiaxin Guo; Zhanyu Ma; Jing-Hao Xue; Qie Sun; Hailong Li; Jun Guo 002 (CoRR, 2018)

Mobile big data analysis with machine learning. - Jiyang Xie 001; Zeyu Song; Yupeng Li; Zhanyu Ma (CoRR, 2018)

Impacts of Weather Conditions on District Heat System. - Jiyang Xie 001; Zhanyu Ma; Jun Guo 002 (CoRR, 2018)

A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications. - Jiyang Xie 001; Zeyu Song; Yupeng Li; Yanting Zhang 001; Hong Yu 006; Jinnan Zhan; Zhanyu Ma; Yuanyuan Qiao 002; Jianhua Zhang 001; Jun Guo 002 (Wirel. Commun. Mob. Comput., 2018)

Channel Max Pooling for Image Classification. - Lu Cheng; Dongliang Chang; Jiyang Xie 001; Rongliang Ma; Chunsheng Wu; Zhanyu Ma (IScIDE (1), 2019)

Soft Dropout And Its Variational Bayes Approximation. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (MLSP, 2019)

FICAL: Focal Inter-Class Angular Loss for Image Classification. - Xinran Wei; Dongliang Chang; Jiyang Xie 001; Yixiao Zheng; Chen Gong 002; Chuang Zhang; Zhanyu Ma (VCIP, 2019)

Shoe-Print Image Retrieval With Multi-Part Weighted CNN. - Zhanyu Ma; Yifeng Ding; Shaoguo Wen; Jiyang Xie 001; Yifeng Jin; Zhongwei Si; Haining Wang (IEEE Access, 2019)

Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. - Zhanyu Ma; Dongliang Chang; Jiyang Xie 001; Yifeng Ding; Shaoguo Wen; Xiaoxu Li; Zhongwei Si; Jun Guo 002 (IEEE Trans. Veh. Technol., 2019)

Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. - Ruoyi Du; Dongliang Chang; Ayan Kumar Bhunia; Jiyang Xie 001; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (ECCV (20), 2020)

IU-Module: Intersection and Union Module for Fine-Grained Visual Classification. - Yixiao Zheng; Dongliang Chang; Jiyang Xie 001; Zhanyu Ma (ICME, 2020)

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. - Yifeng Ding; Shaoguo Wen; Jiyang Xie 001; Dongliang Chang; Zhanyu Ma; Zhongwei Si; Haibin Ling (CoRR, 2020)

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. - Jiyang Xie 001; Dongliang Chang; Zhanyu Ma; Guoqiang Zhang 003; Jun Guo 002 (CoRR, 2020)

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (CoRR, 2020)

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. - Jiyang Xie 001; Zhanyu Ma; Jing-Hao Xue; Guoqiang Zhang 003; Jun Guo 002 (CoRR, 2020)

Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction. - Zhanyu Ma; Jiyang Xie 001; Hailong Li; Qie Sun; Fredrik Wallin; Zhongwei Si; Jun Guo 002 (IEEE Trans. Big Data, 2020)

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. - Dongliang Chang; Yifeng Ding; Jiyang Xie 001; Ayan Kumar Bhunia; Xiaoxu Li; Zhanyu Ma; Ming Wu 001; Jun Guo 002; Yi-Zhe Song (IEEE Trans. Image Process., 2020)

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. - Zhanyu Ma; Jiyang Xie 001; Yuping Lai; Jalil Taghia; Jing-Hao Xue; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification. - Wenyu Sun; Jiyang Xie 001; Jiayan Qiu; Zhanyu Ma (ICIP, 2021)

GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification. - Shuai Xu; Dongliang Chang; Jiyang Xie 001; Zhanyu Ma (MLSP, 2021)

Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. - Chenyu Guo; Jiyang Xie 001; Kongming Liang; Xian Sun; Zhanyu Ma (MMAsia, 2021)

Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. - Junhui Yin; Jiayan Qiu; Siqing Zhang 001; Jiyang Xie 001; Zhanyu Ma; Jun Guo 002 (CoRR, 2021)

DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. - Junhui Yin; Zhanyu Ma; Jiyang Xie 001; Shibo Nie; Kongming Liang; Jun Guo 002 (CoRR, 2021)

Structured DropConnect for Uncertainty Inference in Image Classification. - Wenqing Zheng; Jiyang Xie 001; Weidong Liu; Zhanyu Ma (CoRR, 2021)

Vision Transformer Architecture Search. - Xiu Su; Shan You; Jiyang Xie 001; Mingkai Zheng; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (CoRR, 2021)

AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. - Yifeng Ding; Zhanyu Ma; Shaoguo Wen; Jiyang Xie 001; Dongliang Chang; Zhongwei Si; Ming Wu 001; Haibin Ling (IEEE Trans. Image Process., 2021)

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. - Jiyang Xie 001; Zhanyu Ma; Jing-Hao Xue; Guoqiang Zhang 003; Jian Sun; Yinhe Zheng; Jun Guo 002 (IEEE Trans. Image Process., 2021)

Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods. - Jiyang Xie 001; Yixiao Zheng; Ruoyi Du; Weiyu Xiong; Yufei Cao; Zhanyu Ma; Dongpu Cao; Jun Guo 002 (IEEE Trans. Veh. Technol., 2021)

ViTAS: Vision Transformer Architecture Search. - Xiu Su; Shan You; Jiyang Xie 001; Mingkai Zheng; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiao-Gang Wang 001; Chang Xu 002 (ECCV (21), 2022)

ScaleNet: Searching for the Model to Scale. - Jiyang Xie 001; Xiu Su; Shan You; Zhanyu Ma; Fei Wang 032; Chen Qian 006 (ECCV (21), 2022)

Structured Dropconnect for Uncertainty Inference in Image Classification. - Wenqing Zheng; Jiyang Xie 001; Xian Sun; Zhanyu Ma (ICIP, 2022)

Cross-Layer Feature based Multi-Granularity Visual Classification. - Junhan Chen; Dongliang Chang; Jiyang Xie 001; Ruoyi Du; Zhanyu Ma (VCIP, 2022)

ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation. - Yixiao Zheng; Jiyang Xie 001; Aneeshan Sain; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (VCIP, 2022)

Dual-granularity feature alignment for cross-modality person re-identification. - Junhui Yin; Zhanyu Ma; Jiyang Xie 001; Shibo Nie; Kongming Liang; Jun Guo 002 (Neurocomputing, 2022)

Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. - Ruoyi Du; Jiyang Xie 001; Zhanyu Ma; Dongliang Chang; Yi-Zhe Song; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. - Jiyang Xie 001; Zhanyu Ma; Dongliang Chang; Guoqiang Zhang 003; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. - Jiyang Xie 001; Zhanyu Ma; Jianjun Lei; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MPCCL: Multiview predictive coding with contrastive learning for person re-identification. - Junhui Yin; Jiyang Xie 001; Zhanyu Ma; Jun Guo 002 (Pattern Recognit., 2022)

Unsupervised person re-identification via simultaneous clustering and mask prediction. - Junhui Yin; Siqing Zhang 001; Jiyang Xie 001; Zhanyu Ma; Jun Guo 002 (Pattern Recognit., 2022)

Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity. - Yurong Guo; Ruoyi Du; Xiaoxu Li; Jiyang Xie 001; Zhanyu Ma; Yuan Dong (IEEE Trans. Image Process., 2022)

Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. - Zhanyu Ma; Yuping Lai; Jiyang Xie 001; Deyu Meng; W. Bastiaan Kleijn; Jun Guo 002; Jingyi Yu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multi-Head Uncertainty Inference for Adversarial Attack Detection. - Yuqi Yang; Songyun Yang; Jiyang Xie 001; Zhongwei Si; Kai Guo; Ke Zhang; Kongming Liang (ICASSP, 2023)

Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches. - Yixiao Zheng; Jiyang Xie 001; Aneeshan Sain; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Image Process., 2023)

On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. - Zhanyu Ma; Xiaoou Lu; Jiyang Xie 001; Zhen Yang 004; Jing-Hao Xue; Zheng-Hua Tan; Bo Xiao 006; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Searching for Network Width With Bilaterally Coupled Network. - Xiu Su; Shan You; Jiyang Xie 001; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-reconstruction network for fine-grained few-shot classification. - Xiaoxu Li; Zhen Li 026; Jiyang Xie 001; Xiaochen Yang; Jing-Hao Xue; Zhanyu Ma (Pattern Recognit., 2024)

Interactive triplet attention for few-shot fine-grained image classification. - Xiaoxu Li; Shaoying Xue; Jiyang Xie 001; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (Neurocomputing, 2025)

CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification. - Xiaoxu Li; Shuo Ding; Jiyang Xie 001; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (Pattern Recognit., 2025)