Jiali Deng

According to our database, Jiali Deng authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Delay-aware resource allocation for partial computation offloading in mobile edge cloud computing.

Lingfei Yu, Hongliu Xu, Yunhao Zeng, Jiali Deng

Pervasive Mob. Comput., 2024

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding.

Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning.

Minghui Liu, Meiyi Yang, Jiali Deng, Xuan Cheng, Tianshu Xie, Pan Deng, Haigang Gong, Ming Liu, Xiaomin Wang

Int. J. Comput. Intell. Syst., December, 2023

Multiple independent losses scheduling: A simple training method for deep neural networks.

Jiali Deng, Haigang Gong, Xiaomin Wang, Minghui Liu, Tianshu Xie, Xuan Cheng, Ming Liu, Wanqing Huang

Intell. Data Anal., 2023

OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval.

Jiali Deng, Dongyang Li, Taolin Zhang, Xiaofeng He

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022

Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images.

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

IEEE J. Biomed. Health Informatics, 2022

Channel Self-Supervision for Online Knowledge Distillation.

Shixiao Fan, Xuan Cheng, Xiaomin Wang, Chun Yang, Pan Deng, Minghui Liu, Jiali Deng, Ming Liu

CoRR, 2022

Cost Ensemble with Gradient Selecting for GANs.

Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency.

Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu

CoRR, 2021

Feature Mining: A Novel Training Strategy for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu

CoRR, 2021

Go Small and Similar: A Simple Output Decay Brings Better Performance.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu

CoRR, 2021

White Paper Assistance: A Step Forward Beyond the Shortcut Learning.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu

CoRR, 2021

FocusedDropout for Convolutional Neural Network.

Tianshu Xie, Minghui Liu, Jiali Deng, Xuan Cheng, Xiaomin Wang, Ming Liu

CoRR, 2021

Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Qifeng Weng, Minghui Liu, Jiali Deng, Ming Liu

CoRR, 2021

Thumbnail: A Novel Data Augmentation for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu

CoRR, 2021

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2016

Blurred target tracking based on sparse representation of online updated templates.

Xiaofen Xing, Nanhai Zhang, Kailing Guo, Chunmei Qing, Jiali Deng, Huiping Qin

Proceedings of the 10th International Symposium on Communication Systems, 2016