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2020 – today
- 2024
[j4]Lingfei Yu, Hongliu Xu, Yunhao Zeng, Jiali Deng:
Delay-aware resource allocation for partial computation offloading in mobile edge cloud computing. Pervasive Mob. Comput. 105: 101996 (2024)- [c5]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. LREC/COLING 2024: 17062-17073 - [i9]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. CoRR abs/2406.16372 (2024) - 2023
- [j3]Jiali Deng, Haigang Gong, Xiaomin Wang, Minghui Liu, Tianshu Xie, Xuan Cheng, Ming Liu, Wanqing Huang:
Multiple independent losses scheduling: A simple training method for deep neural networks. Intell. Data Anal. 27(1): 165-180 (2023) - [j2]Minghui Liu
, Meiyi Yang, Jiali Deng, Xuan Cheng, Tianshu Xie, Pan Deng, Haigang Gong, Ming Liu, Xiaomin Wang:
Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning. Int. J. Comput. Intell. Syst. 16(1): 63 (2023) - [c4]Jiali Deng, Dongyang Li, Taolin Zhang, Xiaofeng He:
OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval. NLPCC (2) 2023: 719-731 - 2022
- [j1]Siying Chen, Minghui Liu, Pan Deng, Jiali Deng, Yi Yuan, Xuan Cheng, Tianshu Xie, Libo Xie, Wei Zhang, Haigang Gong, Xiaomin Wang, Lifeng Xu, Hong Pu, Ming Liu:
Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images. IEEE J. Biomed. Health Informatics 26(11): 5344-5354 (2022) - [c3]Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang:
Cost Ensemble with Gradient Selecting for GANs. IJCAI 2022: 1194-1200 - [i8]Shixiao Fan, Xuan Cheng, Xiaomin Wang, Chun Yang, Pan Deng, Minghui Liu, Jiali Deng, Ming Liu:
Channel Self-Supervision for Online Knowledge Distillation. CoRR abs/2203.11660 (2022) - 2021
- [c2]Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu:
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network. ACM Multimedia 2021: 1627-1635 - [i7]Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu:
Thumbnail: A Novel Data Augmentation for Convolutional Neural Network. CoRR abs/2103.05342 (2021) - [i6]Xuan Cheng, Tianshu Xie, Xiaomin Wang, Qifeng Weng, Minghui Liu, Jiali Deng, Ming Liu:
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions. CoRR abs/2103.15383 (2021) - [i5]Tianshu Xie, Minghui Liu, Jiali Deng, Xuan Cheng, Xiaomin Wang, Ming Liu:
FocusedDropout for Convolutional Neural Network. CoRR abs/2103.15425 (2021) - [i4]Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu:
White Paper Assistance: A Step Forward Beyond the Shortcut Learning. CoRR abs/2106.04178 (2021) - [i3]Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu:
Go Small and Similar: A Simple Output Decay Brings Better Performance. CoRR abs/2106.06726 (2021) - [i2]Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu:
Feature Mining: A Novel Training Strategy for Convolutional Neural Network. CoRR abs/2107.08421 (2021) - [i1]Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu:
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency. CoRR abs/2112.00954 (2021)
2010 – 2019
- 2016
- [c1]Xiaofen Xing, Nanhai Zhang, Kailing Guo, Chunmei Qing, Jiali Deng, Huiping Qin:
Blurred target tracking based on sparse representation of online updated templates. CSNDSP 2016: 1-4
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