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ORCIDXin Niu 0002
Person information
- affiliation: National University of Defense Technology, Department of Computer, National Laboratory for Parallel and Distributed Processing, Changsha, China
Other persons with the same name
- Xin Niu — disambiguation page
- Xin Niu 0001
![[0000-0002-4173-0822]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4173-0822")
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China (and 1 more) - Xin Niu 0003 — National University of Defense Technology (NUDT), National Key Laboratory of Parallel and Distributed Processing (PDL), China (and 1 more)
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2020 – today
- 2025
[c31]Haiyang Wang, Zhiliang Tian, Yuchen Pan, Xin Song, Xin Niu, Minlie Huang, Bin Zhou:
Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. ACL (1) 2025: 3665-3685- [c30]Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, Nevin L. Zhang:
Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. ICASSP 2025: 1-5 - [c29]Xinyue Huang, Xin Niu, Jingfei Jiang, Hengyue Pan:
DiffRS: An Extensible Diffusion Model for Remote Sensing Image Generation. ICASSP 2025: 1-5 - 2024
- [c28]Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li:
Meta Learning Based Rumor Detection with Awareness of Social Bot. KSEM (3) 2024: 135-151 - 2023
- [c27]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974 - [c26]Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. ICASSP 2023: 1-5 - [c25]Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. ICASSP 2023: 1-5 - [c24]Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li:
DMFormer: Closing the gap Between CNN and Vision Transformers. ICASSP 2023: 1-5 - [c23]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. ICCV 2023: 17030-17040 - [c22]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li:
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. ICIP 2023: 3379-3383 - [c21]Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang:
AutoRF: Auto Learning Receptive Fields with Spatial Pooling. MMM (2) 2023: 683-694 - [i12]Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies. CoRR abs/2301.09850 (2023) - [i11]Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. CoRR abs/2301.10038 (2023) - [i10]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR abs/2305.13547 (2023) - [i9]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. CoRR abs/2307.10554 (2023) - [i8]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li:
TVT: Training-Free Vision Transformer Search on Tiny Datasets. CoRR abs/2311.14337 (2023) - 2022
- [j14]Yunsheng Xiong, Peng Zhang, Yong Dou, Kele Xu, Xin Niu:
Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j13]Hengyue Pan, Xin Niu, Siqi Shen, Yixin Chen, Peng Qiao, Zhen Huang, Dongsheng Li:
Fixed-Size Objects Encoding for Visual Relationship Detection. Neural Process. Lett. 54(4): 3249-3261 (2022) - [c20]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:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c19]Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li:
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP 2022: 4733-4737 - [i7]Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li:
UENAS: A Unified Evolution-based NAS Framework. CoRR abs/2203.04300 (2022) - [i6]Hengyue Pan, Yixin Chen, Xin Niu, Wenbo Zhou, Dongsheng Li:
Learning Convolutional Neural Networks in the Frequency Domain. CoRR abs/2204.06718 (2022) - [i5]Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan:
Prior-Guided One-shot Neural Architecture Search. CoRR abs/2206.13329 (2022) - [i4]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:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - [i3]Zimian Wei, Hengyue Pan, Xin Niu, Dongsheng Li:
ConvFormer: Closing the Gap Between CNN and Vision Transformers. CoRR abs/2209.07738 (2022) - 2021
- [c18]Kang Wang, Xin Niu, Yong Dou, Di Yang, Dongxing Xi, Tuo Yang:
Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays. MICAD 2021: 205-217 - 2020
- [j12]Hengyue Pan, Xin Niu, Rongchun Li, Yong Dou, Hui Jiang:
Annealed gradient descent for deep learning. Neurocomputing 380: 201-211 (2020) - [j11]Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou:
DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks. Neural Process. Lett. 51(2): 1285-1298 (2020) - [j10]Yunsheng Xiong, Xin Niu, Yong Dou, Hang Qie, Kang Wang:
Non-locally Enhanced Feature Fusion Network for Aircraft Recognition in Remote Sensing Images. Remote. Sens. 12(4): 681 (2020) - [c17]Ke Yang, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Peng Qiao, Xin Niu, Jie Jiang, Dongsheng Li, Yong Dou:
Attentional Fused Temporal Transformation Network for Video Action Recognition. ICASSP 2020: 4377-4381 - [i2]Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou:
Fixed-size Objects Encoding for Visual Relationship Detection. CoRR abs/2005.14600 (2020)
2010 – 2019
- 2019
- [j9]Shijie Li, Xiaolong Shen, Yong Dou, Shi-Ce Ni, Jinwei Xu, Ke Yang, Qiang Wang, Xin Niu:
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Comput. Intell. Neurosci. 2019: 4328653:1-4328653:12 (2019) - [c16]Xianhao He, Peng Qiao, Yong Dou, Xin Niu:
Spatial Attention Network for Few-Shot Learning. ICANN (2) 2019: 567-578 - 2018
- [c15]Shijie Li, Yong Dou, Jinwei Xu, Qiang Wang, Xin Niu:
mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices. COMPSAC (1) 2018: 881-886 - [c14]Ke Yang, Peng Qiao, Qiang Wang, Shijie Li, Xin Niu, Dongsheng Li, Yong Dou:
Frame Segmentation Networks for Temporal Action Localization. PCM (2) 2018: 242-252 - [c13]Xin Niu, Di Yang, Ke Yang, Hengyue Pan, Yong Dou:
Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN. PCM (3) 2018: 245-255 - [i1]Hengyue Pan, Hui Jiang, Xin Niu, Yong Dou:
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks. CoRR abs/1811.06783 (2018) - 2017
- [j8]Shijie Li, Yong Dou, Xin Niu, Qi Lv, Qiang Wang:
A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection. Neurocomputing 230: 48-59 (2017) - [j7]Shijie Li, Xin Niu, Yong Dou, Qi Lv, Yueqing Wang:
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine. Neurocomputing 261: 153-163 (2017) - [j6]Peng Zhang, Xin Niu, Yong Dou, Fei Xia:
Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 14(8): 1183-1187 (2017) - [c12]Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu:
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. IJCAI 2017: 1980-1986 - 2016
- [j5]Qi Lv, Xin Niu, Yong Dou, Jiaqing Xu, Fei Xia:
Leveraging local receptive fields based random weights networks for hyperspectral image classification. J. Intell. Fuzzy Syst. 31(2): 1017-1028 (2016) - [j4]Qi Lv, Xin Niu, Yong Dou, Jiaqing Xu, Yuanwu Lei:
Classification of Hyperspectral Remote Sensing Image Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine. IEEE Geosci. Remote. Sens. Lett. 13(3): 434-438 (2016) - [c11]Shijie Li, Yong Dou, Qi Lv, Qiang Wang, Xin Niu, Ke Yang:
Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection. HPCC/SmartCity/DSS 2016: 224-230 - [c10]Qi Lv, Xin Niu, Yong Dou, Yueqing Wang, Jiaqing Xu, Jie Zhou:
Hyperspectral image classification via kernel extreme learning machine using local receptive fields. ICIP 2016: 256-260 - [c9]YuShe Cao, Xin Niu, Yong Dou:
Region-based convolutional neural networks for object detection in very high resolution remote sensing images. ICNC-FSKD 2016: 548-554 - [c8]Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu:
A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. IJCNN 2016: 1896-1902 - [c7]Peng Zhang, Xin Niu, Yong Dou, Fei Xia:
Airport detection from remote sensing images using transferable convolutional neural networks. IJCNN 2016: 2590-2595 - 2015
- [j3]Xuan Li, Yong Dou, Xin Niu, Jiaqing Xu, Ruorong Xiao:
An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template. Comput. Intell. Neurosci. 2015: 709072:1-709072:10 (2015) - [j2]Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Jinbo Xu, Fei Xia:
Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks. J. Sensors 2015: 538063:1-538063:10 (2015) - [c6]Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Jinbo Xu:
Classification of Tiangong-1 hyperspectral remote sensing image via contextual sparse coding. ICMLC 2015: 128-133 - [c5]Qi Lv, Yong Dou, Jiaqing Xu, Xin Niu, Fei Xia:
Hyperspectral image classification via local receptive fields based random weights networks. ICNC 2015: 971-976 - 2014
- [j1]Rongchun Li, Yong Dou, Jiaqing Xu, Xin Niu, Shi-Ce Ni:
An Efficient Parallel SOVA-Based Turbo Decoder for Software Defined Radio on GPU. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(5): 1027-1036 (2014) - [c4]Lei Guo, Shijie Li, Xin Niu, Yong Dou:
A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks. CCPR (1) 2014: 81-90 - [c3]Shirong Zeng, Xin Niu, Yong Dou:
Vehicle Recognition for Surveillance Video Using Sparse Coding. CCPR (2) 2014: 228-234 - [c2]Qi Lv, Yong Dou, Xin Niu, Jiaqing Xu, Baoliang Li:
Classification of land cover based on deep belief networks using polarimetric RADARSAT-2 data. IGARSS 2014: 4679-4682 - [c1]Dongsheng Wang, Xin Niu, Yong Dou:
A piecewise-based contrast enhancement framework for low lighting video. SPAC 2014: 235-240
Coauthor Index
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