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2020 – today
- 2024
[j7]Xiufang Li
, Licheng Jiao, Qigong Sun, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
A Category-Aware Curriculum Learning for Data-Free Knowledge Distillation. IEEE Trans. Multim. 26: 9603-9618 (2024)- [c8]Pengfei Zhao, Qigong Sun, Xiaolin Tian, Yige Yang, Shuo Tao, Jie Cheng, Jiantong Chen:
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography. CVPR Workshops 2024: 7829-7838 - [i10]Pengfei Zhao, Qigong Sun, Xiaolin Tian, Yige Yang, Shuo Tao, Jie Cheng, Jiantong Chen:
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography. CoRR abs/2407.06653 (2024) - 2023
- [j6]Qigong Sun, Xiufang Li, Licheng Jiao, Yan Ren, Fanhua Shang, Fang Liu:
Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks. IEEE Trans. Cybern. 53(10): 6187-6199 (2023) - [j5]Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Yi Zuo:
$D^{3}K$: Dynastic Data-Free Knowledge Distillation. IEEE Trans. Multim. 25: 8358-8371 (2023) - 2022
- [c7]Kai Wang, Qigong Sun, Yicheng Wang, Huiyuan Wei, Chonghua Lv, Xiaolin Tian, Xu Liu:
CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution. CVPR Workshops 2022: 341-348 - [c6]Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang:
Thermal Image Super-Resolution Challenge Results - PBVS 2022. CVPR Workshops 2022: 417-425 - 2021
- [j4]Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao:
Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. IEEE Trans. Cybern. 51(9): 4414-4428 (2021) - [i9]Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu:
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization. CoRR abs/2103.02904 (2021) - [i8]Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu:
MWQ: Multiscale Wavelet Quantized Neural Networks. CoRR abs/2103.05363 (2021) - [i7]Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu:
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment. CoRR abs/2105.01353 (2021) - [i6]Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin:
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration. CoRR abs/2106.09886 (2021) - 2020
- [j3]Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu:
SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access 8: 146560-146576 (2020) - [j2]Lingling Li, Liyuan Ma, Licheng Jiao, Fang Liu, Qigong Sun, Jin Zhao:
Complex Contourlet-CNN for polarimetric SAR image classification. Pattern Recognit. 100: 107110 (2020) - [c5]Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun:
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation. IJCAI 2020: 789-796
2010 – 2019
- 2019
- [j1]Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang:
Polarimetric Convolutional Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(5): 3040-3054 (2019) - [c4]Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. AAAI 2019: 5024-5032 - [c3]Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao:
signADAM++: Learning Confidences for Deep Neural Networks. ICDM Workshops 2019: 186-195 - [c2]Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao:
Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. IGARSS 2019: 2718-2721 - [c1]Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao:
Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification. IGARSS 2019: 3245-3248 - [i5]Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1. CoRR abs/1905.13389 (2019) - [i4]Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao:
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification. CoRR abs/1906.03605 (2019) - [i3]Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao:
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. CoRR abs/1906.03607 (2019) - [i2]Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao:
signADAM: Learning Confidences for Deep Neural Networks. CoRR abs/1907.09008 (2019) - 2018
- [i1]Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang:
Polarimetric Convolutional Network for PolSAR Image Classification. CoRR abs/1807.02975 (2018)
Coauthor Index
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