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Shang, Fanhua
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1

Adaptive Non-Local Generative Adversarial Networks for Low-..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Yang, Linlin ; Liu, Hongying ; Shang, Fanhua. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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2

Measuring Asymmetric Gradient Discrepancy in Parallel Conti..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Lyu, Fan ; Sun, Qing ; Shang, Fanhua.. - p. 11377-11386 , 2023
Link: https://doi.org/10.1109/..
 
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3

Improving the Transferability of Adversarial Examples with ..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,
Ge, Zhijin ; Shang, Fanhua ; Liu, Hongying... - p. 4440-4449 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

A Numerical DEs Perspective on Unfolded Linearized ADMM Net..:

, In: Proceedings of the 30th ACM International Conference on Multimedia,
An, Weixin ; Yue, Yingjie ; Liu, Yuanyuan.. - p. 5065-5073 , 2022
Link: https://dl.acm.org/doi/1..
 
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5

Balanced Gradient Penalty Improves Deep Long-Tailed Learnin:

, In: Proceedings of the 30th ACM International Conference on Multimedia,
Wang, Dong ; Liu, Yicheng ; Fang, Liangji... - p. 5093-5101 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

PWPROP: A Progressive Weighted Adaptive Method for Training..:

, In: 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI),
Wang, Dong ; Xu, Tao ; Zhang, Huatian... - p. 508-515 , 2022
Link: https://doi.org/10.1109/..
 
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7

Progressive Semantic Matching for Video-Text Retrieval:

, In: Proceedings of the 29th ACM International Conference on Multimedia,
Liu, Hongying ; Luo, Ruyi ; Shang, Fanhua.. - p. 5083-5091 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brai..:

, In: Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy; Lecture Notes in Computer Science,
Liu, Hongying ; Shen, Xiongjie ; Shang, Fanhua.. - p. 102-111 , 2019
Link: https://doi.org/10.1007/..
 
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9

A Unified Approximation Framework for Compressing and Accel..:

, In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI),
Ma, Yuzhe ; Chen, Ran ; Li, Wei... - p. 376-383 , 2019
Link: https://doi.org/10.1109/..
 
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10

Loopless Semi-Stochastic Gradient Descent with Less Hard Th..:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,
Liu, Xiangyang ; Wei, Bingkun ; Shang, Fanhua. - p. 881-890 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

signADAM++: Learning Confidences for Deep Neural Networks:

, In: 2019 International Conference on Data Mining Workshops (ICDMW),
Wang, Dong ; Liu, Yicheng ; Tang, Wenwo... - p. 186-195 , 2019
Link: https://doi.org/10.1109/..
 
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12

A Stochastic Variance Reduced Extragradient Method for Spar..:

, In: 2019 International Conference on Data Mining Workshops (ICDMW),
Kong, Lin ; Bai, Xiaying ; Hu, Yang... - p. 155-164 , 2019
Link: https://doi.org/10.1109/..
 
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13

A Novel Deep Framework for Change Detection of Multi-source..:

, In: 2019 International Conference on Data Mining Workshops (ICDMW),
Liu, Hongying ; Wang, Zhongshu ; Shang, Fanhua... - p. 165-171 , 2019
Link: https://doi.org/10.1109/..
 
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14

Efficient Parallel Stochastic Variance Reduction Algorithms..:

, In: 2019 International Conference on Data Mining Workshops (ICDMW),
Shang, Fanhua ; Zhang, Zhihui ; An, Yuying.. - p. 172-179 , 2019
Link: https://doi.org/10.1109/..
 
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15

Robust Principal Component Analysis with Missing Data:

, In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management,
Shang, Fanhua ; Liu, Yuanyuan ; Cheng, James. - p. 1149-1158 , 2014
Link: https://dl.acm.org/doi/1..
 
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