Xin Niu

57 papers A* 3B 4C 1Misc 9Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues.
ACL (1)
Haiyang Wang, Zhiliang Tian, Yuchen Pan, Xin Song, Xin Niu, Minlie Huang, Bin Zhou
2025 Misc conf
DiffRS: An Extensible Diffusion Model for Remote Sensing Image Generation.
ICASSP
Xinyue Huang, Xin Niu, Jingfei Jiang, Hengyue Pan
2025 Misc conf
Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting.
ICASSP
Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, Nevin L. Zhang
2024 — conf
Meta Learning Based Rumor Detection with Awareness of Social Bot.
KSEM (3)
Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li
2023 — conf
AutoRF: Auto Learning Receptive Fields with Spatial Pooling.
MMM (2)
Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang
2023 Misc conf
DMFormer: Closing the gap Between CNN and Vision Transformers.
ICASSP
Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li
2023 A* conf
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
ICCV
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
2023 J jnl
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
CoRR
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
2023 B conf
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.
ICIP
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li
2023 Misc conf
Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
ICASSP
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 J jnl
Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
CoRR
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 Misc conf
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
ICASSP
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 J jnl
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies.
CoRR
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 A* conf
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
EMNLP
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
2023 J jnl
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
2023 J jnl
TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li
2022 — conf
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
ECCV Workshops (3)
Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
2022 J jnl
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR
Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
2022 J jnl
ConvFormer: Closing the Gap Between CNN and Vision Transformers.
CoRR
Zimian Wei, Hengyue Pan, Xin Niu, Dongsheng Li
2022 Misc conf
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
ICASSP
Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li
2022 J jnl
Fixed-Size Objects Encoding for Visual Relationship Detection.
Neural Process. Lett.
Hengyue Pan, Xin Niu, Siqi Shen, Yixin Chen, Peng Qiao, Zhen Huang, Dongsheng Li
2022 J jnl
Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining.
IEEE Geosci. Remote. Sens. Lett.
Yunsheng Xiong, Peng Zhang, Yong Dou, Kele Xu, Xin Niu
2022 J jnl
Learning Convolutional Neural Networks in the Frequency Domain.
CoRR
Hengyue Pan, Yixin Chen, Xin Niu, Wenbo Zhou, Dongsheng Li
2022 J jnl
Prior-Guided One-shot Neural Architecture Search.
CoRR
Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan
2022 J jnl
UENAS: A Unified Evolution-based NAS Framework.
CoRR
Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li
2021 — conf
Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays.
MICAD
Kang Wang, Xin Niu, Yong Dou, Di Yang, Dongxing Xi, Tuo Yang
2020 J jnl
Annealed gradient descent for deep learning.
Neurocomputing
Hengyue Pan, Xin Niu, Rongchun Li, Yong Dou, Hui Jiang
2020 Misc conf
Attentional Fused Temporal Transformation Network for Video Action Recognition.
ICASSP
Ke Yang, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Peng Qiao, Xin Niu, Jie Jiang, Dongsheng Li, Yong Dou
2020 J jnl
DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks.
Neural Process. Lett.
Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou
2020 J jnl
Fixed-size Objects Encoding for Visual Relationship Detection.
CoRR
Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou
2020 J jnl
Non-locally Enhanced Feature Fusion Network for Aircraft Recognition in Remote Sensing Images.
Remote. Sens.
Yunsheng Xiong, Xin Niu, Yong Dou, Hang Qie, Kang Wang
2019 J jnl
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.
Comput. Intell. Neurosci.
Shijie Li, Xiaolong Shen, Yong Dou, Shi-Ce Ni, Jinwei Xu, Ke Yang, Qiang Wang, Xin Niu
2019 — conf
Spatial Attention Network for Few-Shot Learning.
ICANN (2)
Xianhao He, Peng Qiao, Yong Dou, Xin Niu
2018 J jnl
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks.
CoRR
Hengyue Pan, Hui Jiang, Xin Niu, Yong Dou
2018 — conf
Frame Segmentation Networks for Temporal Action Localization.
PCM (2)
Ke Yang, Peng Qiao, Qiang Wang, Shijie Li, Xin Niu, Dongsheng Li, Yong Dou
2018 — conf
Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN.
PCM (3)
Xin Niu, Di Yang, Ke Yang, Hengyue Pan, Yong Dou
2018 — conf
mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices.
COMPSAC (1)
Shijie Li, Yong Dou, Jinwei Xu, Qiang Wang, Xin Niu
2017 J jnl
A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection.
Neurocomputing
Shijie Li, Yong Dou, Xin Niu, Qi Lv, Qiang Wang
2017 J jnl
Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett.
Peng Zhang, Xin Niu, Yong Dou, Fei Xia
2017 A* conf
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification.
IJCAI
Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu
2017 J jnl
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine.
Neurocomputing
Shijie Li, Xin Niu, Yong Dou, Qi Lv, Yueqing Wang
2016 B conf
A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees.
IJCNN
Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu
2016 B conf
Airport detection from remote sensing images using transferable convolutional neural networks.
IJCNN
Peng Zhang, Xin Niu, Yong Dou, Fei Xia
2016 J jnl
Classification of Hyperspectral Remote Sensing Image Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine.
IEEE Geosci. Remote. Sens. Lett.
Qi Lv, Xin Niu, Yong Dou, Jiaqing Xu, Yuanwu Lei
2016 B conf
Hyperspectral image classification via kernel extreme learning machine using local receptive fields.
ICIP
Qi Lv, Xin Niu, Yong Dou, Yueqing Wang, Jiaqing Xu, Jie Zhou
2016 J jnl
Leveraging local receptive fields based random weights networks for hyperspectral image classification.
J. Intell. Fuzzy Syst.
Qi Lv, Xin Niu, Yong Dou, Jiaqing Xu, Fei Xia
2016 — conf
Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection.
HPCC/SmartCity/DSS
Shijie Li, Yong Dou, Qi Lv, Qiang Wang, Xin Niu, Ke Yang
2016 — conf
Region-based convolutional neural networks for object detection in very high resolution remote sensing images.
ICNC-FSKD
Yushe Cao, Xin Niu, Yong Dou
2015 J jnl
An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template.
Comput. Intell. Neurosci.
Xuan Li, Yong Dou, Xin Niu, Jiaqing Xu, Ruorong Xiao
2015 Misc conf
Classification of Tiangong-1 hyperspectral remote sensing image via contextual sparse coding.
ICMLC
Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Jinbo Xu
2015 Misc conf
Hyperspectral image classification via local receptive fields based random weights networks.
ICNC
Qi Lv, Yong Dou, Jiaqing Xu, Xin Niu, Fei Xia
2015 J jnl
Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks.
J. Sensors
Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Jinbo Xu, Fei Xia
2014 — conf
A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks.
CCPR (1)
Lei Guo, Shijie Li, Xin Niu, Yong Dou
2014 — conf
A piecewise-based contrast enhancement framework for low lighting video.
SPAC
Dongsheng Wang, Xin Niu, Yong Dou
2014 J jnl
An Efficient Parallel SOVA-Based Turbo Decoder for Software Defined Radio on GPU.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Rongchun Li, Yong Dou, Jiaqing Xu, Xin Niu, Shi-Ce Ni
2014 C conf
Classification of land cover based on deep belief networks using polarimetric RADARSAT-2 data.
IGARSS
Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Baoliang Li
2014 — conf
Vehicle Recognition for Surveillance Video Using Sparse Coding.
CCPR (2)
Shirong Zeng, Xin Niu, Yong Dou