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ORCIDNing Jiang 0002
Person information
- affiliation: Southwest University of Science and Technology, Mianyang, China
Other persons with the same name
- Ning Jiang — disambiguation page
- Ning Jiang 0001
![[0000-0003-1579-3114]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1579-3114")
— West China Hospital, Sichuan University, Chengdu, China - Ning Jiang 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Ning Jiang 0004 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Ning Jiang 0005 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2024
[j6]Jialiang Tang, Ning Jiang, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong:
Learning Student Network Under Universal Label Noise. IEEE Trans. Image Process. 33: 4363-4376 (2024)- [c49]Xinlei Huang, Ning Jiang, Jialiang Tang:
ClearKD: Clear Knowledge Distillation for Medical Image Classification. IJCNN 2024: 1-8 - [c48]Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou:
Decoupled Multi-teacher Knowledge Distillation based on Entropy. ISCAS 2024: 1-5 - [c47]Lebin Li, Ning Jiang, Jialiang Tang, Xinlei Huang:
Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression. ISCAS 2024: 1-5 - [c46]Ruijian Xu, Ning Jiang, Jialiang Tang, Xinlei Huang:
Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation. ISCAS 2024: 1-5 - [c45]Haodong Liu, Xinlei Huang, Jialiang Tang, Ning Jiang:
Virtual Student Distribution Knowledge Distillation for Long-Tailed Recognition. PRCV (4) 2024: 407-420 - [i1]Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu, Ning Jiang:
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios. CoRR abs/2409.07694 (2024) - 2023
- [j5]Ning Jiang, Jialiang Tang, Wenxin Yu:
Positive-Unlabeled Learning for Knowledge Distillation. Neural Process. Lett. 55(3): 2613-2631 (2023) - [c44]Haifeng Qing, Ning Jiang, Jialiang Tang, Xinlei Huang, Wengqing Wu:
Joint Regularization Knowledge Distillation. ICONIP (12) 2023: 173-184 - [c43]Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang, Wenqing Wu:
Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples. ICONIP (12) 2023: 223-234 - [c42]Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang:
Feature Reconstruction Distillation with Self-attention. ICONIP (12) 2023: 246-257 - [c41]Xinlei Huang, Ning Jiang, Jialiang Tang, Wenqing Wu:
Dynamic Feature Distillation. ICONIP (13) 2023: 402-413 - [c40]Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang:
Knowledge Distillation via Information Matching. ICONIP (4) 2023: 405-417 - [c39]Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang:
Correlation Guided Multi-teacher Knowledge Distillation. ICONIP (4) 2023: 562-574 - 2022
- [j4]Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu, Ning Jiang:
Text-to-image synthesis: Starting composite from the foreground content. Inf. Sci. 607: 1265-1285 (2022) - [c38]Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang:
Stimulates Potential for Knowledge Distillation. ICANN (4) 2022: 187-198 - [c37]Zhiqiang Zhang, Chen Fu, Man M. Ho, Jinjia Zhou, Ning Jiang, Wenxin Yu:
Text-Guided Image Manipulation Based on Sentence-Aware and Word-Aware Network. ICME 2022: 1-6 - [c36]Jiawei Sun, Ning Jiang, Jialiang Tang:
Cut-controller: An Effective Framework for Chinese Text Classification. ICMSSP 2022: 74-79 - [c35]Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang:
Cross-Layer Fusion for Feature Distillation. ICONIP (4) 2022: 433-445 - [c34]Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang:
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. ICONIP (4) 2022: 647-658 - [c33]Mingjin Liu, Wenxin Yu, Jialiang Tang, Ning Jiang, Kang Xu, Chang Liu:
Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease. ISCAS 2022: 2358-2362 - [c32]Xin Deng, Ning Jiang, Shiyu Chen, Jiarui Cheng, Yufei Gao, Wenxin Yu:
A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction. ISCAS 2022: 2856-2860 - 2021
- [c31]Liang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Ning Jiang, Zhiqiang Zhang:
A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch. ICANN (2) 2021: 611-622 - [c30]Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu, Ning Jiang:
Drawgan: Text to Image Synthesis with Drawing Generative Adversarial Networks. ICASSP 2021: 4195-4199 - [c29]Jialiang Tang, Ning Jiang, Wenxin Yu:
Gradient Local Binary Pattern For Convolutional Neural Networks. ICIP 2021: 744-748 - [c28]Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou:
Text To Image Synthesis With Erudite Generative Adversarial Networks. ICIP 2021: 2438-2442 - [c27]Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, Peng Zhang:
Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution. ICONIP (5) 2021: 222-230 - [c26]Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang:
Data-Free Knowledge Distillation with Positive-Unlabeled Learning. ICONIP (2) 2021: 309-320 - [c25]Xuewen Zhang, Yunye Zhang, Wenxin Yu, Liang Nie, Ning Jiang, Jun Gong:
QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment. ICONIP (4) 2021: 311-322 - [c24]Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang:
Consistent Knowledge Distillation Based on Siamese Networks. ICONIP (5) 2021: 326-333 - [c23]Mingjin Liu, Jialiang Tang, Wenxin Yu, Ning Jiang:
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process. ICONIP (1) 2021: 342-353 - [c22]Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, Peng Zhang:
Improving Shallow Neural Networks via Local and Global Normalization. ICONIP (1) 2021: 596-608 - [c21]Liang Nie, Wenxin Yu, Siyuan Li, Zhiqiang Zhang, Ning Jiang, Xuewen Zhang, Jun Gong:
Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN). ICONIP (6) 2021: 640-647 - [c20]Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, Peng Zhang:
Triplet Mapping for Continuously Knowledge Distillation. ICONIP (1) 2021: 669-680 - [c19]Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu:
Triplet Knowledge Distillation Networks for Model Compression. IJCNN 2021: 1-8 - [c18]Zhiqiang Zhang, Chen Fu, Jinjia Zhou, Wenxin Yu, Ning Jiang:
Text to Image Synthesis based on Multi - Perspective Fusion. IJCNN 2021: 1-8 - [c17]Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, Liuwei Mai:
Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks. ISCAS 2021: 1-5 - [c16]Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Cai, Wenxin Yu, Jinjia Zhou:
Data-Free Network Pruning for Model Compression. ISCAS 2021: 1-5 - [c15]Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang:
Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks. ISCAS 2021: 1-5 - [c14]Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, Jinjia Zhou:
Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism. ISCAS 2021: 1-5 - [c13]Xuewen Zhang, Wenxin Yu, Ning Jiang, Yunye Zhang, Zhiqiang Zhang:
SPS: A Subjective Perception Score for Text-to-Image Synthesis. ISCAS 2021: 1-5 - [c12]Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou:
Local Feature Normalization. KSEM 2021: 228-239 - 2020
- [j3]Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Ning Jiang, Gang He, Zhuo Yang:
Customizable GAN: A Method for Image Synthesis of Human Controllable. IEEE Access 8: 108004-108017 (2020) - [j2]Jialiang Tang, Ning Jiang, Wenxin Yu, Jinjia Zhou, Liuwei Mai:
Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance. IEEE Access 8: 217816-217829 (2020) - [c11]Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang:
Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning. ICONIP (4) 2020: 336-344 - [c10]Xuewen Zhang, Yunye Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He:
Deep Feature Compatibility for Generated Images Quality Assessment. ICONIP (4) 2020: 353-360 - [c9]Siyuan Li, Lu Lu, Kepeng Xu, Wenxin Yu, Ning Jiang, Zhuo Yang:
LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy. ICONIP (4) 2020: 442-449 - [c8]Yunye Zhang, Xuewen Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He:
No-Reference Quality Assessment Based on Spatial Statistic for Generated Images. ICONIP (4) 2020: 497-506 - [c7]Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou:
Search-and-Train: Two-Stage Model Compression and Acceleration. ICONIP (5) 2020: 642-649 - [c6]Wei Chen, Wenxin Yu, Gang He, Ning Jiang, Gang He:
Coarse-to-Fine Attention Network via Opinion Approximate Representation for Aspect-Level Sentiment Classification. ICONIP (1) 2020: 704-715
2010 – 2019
- 2019
- [c5]Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Jingwei Lu, Li Nie, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang:
Text to Image Synthesis Based on Multiple Discrimination. ICANN (3) 2019: 578-589 - [c4]Yunye Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang:
Cscore: A Novel No-Reference Evaluation Metric for Generated Images. ICCPR 2019: 277-281 - [c3]Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang:
Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination. KSEM (2) 2019: 110-114 - 2015
- [j1]Jiu Xu, Ning Jiang, Wenxin Yu, Heming Sun, Satoshi Goto:
Human Detection Method Based on Non-Redundant Gradient Semantic Local Binary Patterns. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(8): 1735-1742 (2015) - 2013
- [c2]Ning Jiang, Jiu Xu, Wenxin Yu, Satoshi Goto:
Gradient Local Binary Patterns for human detection. ISCAS 2013: 978-981 - [c1]Jiu Xu, Ning Jiang, Xinwei Xue, Heming Sun, Wenxin Yu, Satoshi Goto:
Multi-scale bidirectional local template patterns for real-time human detection. MMSP 2013: 379-383
Coauthor Index
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