A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks. - Lei Guo 029; Shijie Li 002; Xin Niu 002; Yong Dou (CCPR (1), 2014)

Vehicle Recognition for Surveillance Video Using Sparse Coding. - Shirong Zeng; Xin Niu 002; Yong Dou (CCPR (2), 2014)

Classification of land cover based on deep belief networks using polarimetric RADARSAT-2 data. - Qi Lv; Yong Dou; Xin Niu 002; Jiaqing Xu; Baoliang Li (IGARSS, 2014)

A piecewise-based contrast enhancement framework for low lighting video. - Dongsheng Wang; Xin Niu 002; Yong Dou (SPAC, 2014)

An Efficient Parallel SOVA-Based Turbo Decoder for Software Defined Radio on GPU. - Rongchun Li; Yong Dou; Jiaqing Xu; Xin Niu 002; Shi-Ce Ni (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Classification of Tiangong-1 hyperspectral remote sensing image via contextual sparse coding. - Qi Lv; Yong Dou; Xin Niu 002; Jiaqing Xu; Jinbo Xu (ICMLC, 2015)

Hyperspectral image classification via local receptive fields based random weights networks. - Qi Lv; Yong Dou; Jiaqing Xu; Xin Niu 002; Fei Xia 003 (ICNC, 2015)

An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template. - Xuan Li 002; Yong Dou; Xin Niu 002; Jiaqing Xu; Ruorong Xiao (Comput. Intell. Neurosci., 2015)

Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks. - Qi Lv; Yong Dou; Xin Niu 002; Jiaqing Xu; Jinbo Xu; Fei Xia 003 (J. Sensors, 2015)

Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection. - Shijie Li 002; Yong Dou; Qi Lv; Qiang Wang 006; Xin Niu 002; Ke Yang 004 (HPCC/SmartCity/DSS, 2016)

Hyperspectral image classification via kernel extreme learning machine using local receptive fields. - Qi Lv; Xin Niu 002; Yong Dou; Yueqing Wang; Jiaqing Xu; Jie Zhou 007 (ICIP, 2016)

Region-based convolutional neural networks for object detection in very high resolution remote sensing images. - YuShe Cao; Xin Niu 002; Yong Dou (ICNC-FSKD, 2016)

A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. - Yaozheng Wang; Dawei Feng; Dongsheng Li 001; Xinyuan Chen; Yunxiang Zhao; Xin Niu 002 (IJCNN, 2016)

Airport detection from remote sensing images using transferable convolutional neural networks. - Peng Zhang 035; Xin Niu 002; Yong Dou; Fei Xia 003 (IJCNN, 2016)

Leveraging local receptive fields based random weights networks for hyperspectral image classification. - Qi Lv; Xin Niu 002; Yong Dou; Jiaqing Xu; Fei Xia 003 (J. Intell. Fuzzy Syst., 2016)

Classification of Hyperspectral Remote Sensing Image Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine. - Qi Lv; Xin Niu 002; Yong Dou; Jiaqing Xu; Yuanwu Lei (IEEE Geosci. Remote. Sens. Lett., 2016)

Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. - Ruochun Jin; Yong Dou; Yueqing Wang; Xin Niu 002 (IJCAI, 2017)

A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection. - Shijie Li 002; Yong Dou; Xin Niu 002; Qi Lv; Qiang Wang 006 (Neurocomputing, 2017)

Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine. - Shijie Li 002; Xin Niu 002; Yong Dou; Qi Lv; Yueqing Wang (Neurocomputing, 2017)

Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks. - Peng Zhang 035; Xin Niu 002; Yong Dou; Fei Xia 003 (IEEE Geosci. Remote. Sens. Lett., 2017)

mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices. - Shijie Li 002; Yong Dou; Jinwei Xu; Qiang Wang 006; Xin Niu 002 (COMPSAC (1), 2018)

Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN. - Xin Niu 002; Di Yang; Ke Yang 004; Hengyue Pan; Yong Dou (PCM (3), 2018)

Frame Segmentation Networks for Temporal Action Localization. - Ke Yang 004; Peng Qiao; Qiang Wang 006; Shijie Li 002; Xin Niu 002; Dongsheng Li 001; Yong Dou (PCM (2), 2018)

DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks. - Hengyue Pan; Hui Jiang; Xin Niu 002; Yong Dou (CoRR, 2018)

Spatial Attention Network for Few-Shot Learning. - Xianhao He; Peng Qiao; Yong Dou; Xin Niu 002 (ICANN (2), 2019)

A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. - Shijie Li 002; Xiaolong Shen; Yong Dou; Shi-Ce Ni; Jinwei Xu; Ke Yang 004; Qiang Wang 006; Xin Niu 002 (Comput. Intell. Neurosci., 2019)

Attentional Fused Temporal Transformation Network for Video Action Recognition. - Ke Yang 004; Zhiyuan Wang; Huadong Dai; Tianlong Shen; Peng Qiao; Xin Niu 002; Jie Jiang; Dongsheng Li 001; Yong Dou (ICASSP, 2020)

Fixed-size Objects Encoding for Visual Relationship Detection. - Hengyue Pan; Xin Niu 002; Rongchun Li; Siqi Shen; Yong Dou (CoRR, 2020)

Annealed gradient descent for deep learning. - Hengyue Pan; Xin Niu 002; Rongchun Li; Yong Dou; Hui Jiang (Neurocomputing, 2020)

DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks. - Hengyue Pan; Xin Niu 002; Rongchun Li; Siqi Shen; Yong Dou (Neural Process. Lett., 2020)

Non-locally Enhanced Feature Fusion Network for Aircraft Recognition in Remote Sensing Images. - Yunsheng Xiong; Xin Niu 002; Yong Dou; Hang Qie; Kang Wang (Remote. Sens., 2020)

Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays. - Kang Wang; Xin Niu 002; Yong Dou; Di Yang; Dongxing Xi; Tuo Yang (MICAD, 2021)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. - Zimian Wei; Hengyue Pan; Linbo Qiao; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2022)

UENAS: A Unified Evolution-based NAS Framework. - Zimian Wei; Hengyue Pan; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (CoRR, 2022)

Learning Convolutional Neural Networks in the Frequency Domain. - Hengyue Pan; Yixin Chen 004; Xin Niu 002; Wenbo Zhou; Dongsheng Li 001 (CoRR, 2022)

Prior-Guided One-shot Neural Architecture Search. - Peijie Dong; Xin Niu 002; Lujun Li 001; Linzhen Xie; Wenbin Zou; Tian Ye 001; Zimian Wei; Hengyue Pan (CoRR, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

ConvFormer: Closing the Gap Between CNN and Vision Transformers. - Zimian Wei; Hengyue Pan; Xin Niu 002; Dongsheng Li 001 (CoRR, 2022)

Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining. - Yunsheng Xiong; Peng Zhang 035; Yong Dou; Kele Xu; Xin Niu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Fixed-Size Objects Encoding for Visual Relationship Detection. - Hengyue Pan; Xin Niu 002; Siqi Shen; Yixin Chen 004; Peng Qiao; Zhen Huang 006; Dongsheng Li 001 (Neural Process. Lett., 2022)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Changjian Wang; Dongsheng Li 001; Dacheng Tao (EMNLP, 2023)

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. - Peijie Dong; Xin Niu 002; Lujun Li 001; Zhiliang Tian; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

Progressive Meta-Pooling Learning for Lightweight Image Classification Model. - Peijie Dong; Xin Niu 002; Zhiliang Tian; Lujun Li 001; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

DMFormer: Closing the gap Between CNN and Vision Transformers. - Zimian Wei; Hengyue Pan; Lujun Li 001; Menglong Lu; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2023)

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. - Peijie Dong; Lujun Li 001; Zimian Wei; Xin Niu 002; Zhiliang Tian; Hengyue Pan (ICCV, 2023)

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Xin Niu 002; Dongsheng Li 001 (ICIP, 2023)

AutoRF: Auto Learning Receptive Fields with Spatial Pooling. - Peijie Dong; Xin Niu 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001; Zhen Huang 006 (MMM (2), 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (CoRR, 2023)

Meta Learning Based Rumor Detection with Awareness of Social Bot. - Zhilong Lv; Zhen Huang 006; Menglong Lu; Yuxin Yang; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (KSEM (3), 2024)

Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. - Haiyang Wang; Zhiliang Tian; Yuchen Pan; Xin Song; Xin Niu 002; Minlie Huang; Bin Zhou 004 (ACL (1), 2025)

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. - Xingzhi Zhou 002; Boyang Zhang; Zhiliang Tian; Yibo Zhang; Xin Niu 002; Ka Chun Cheung; Simon See; Nevin L. Zhang (ICASSP, 2025)

DiffRS: An Extensible Diffusion Model for Remote Sensing Image Generation. - Xinyue Huang; Xin Niu 002; Jingfei Jiang; Hengyue Pan (ICASSP, 2025)