1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS 2023 • Weimin WANG, Ting Yang, Yu Du, Yu Liu
The proposed approach first constructs the CRF based on k-nearest neighbors with the snow confidence derived from the physical priors of snow, such as intensity and distribution.
no code implementations • 22 Apr 2021 • Rajesh Kumar, Wenyong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan
To solve this challenging task, we propose a blockchain-based federated learning framework that provides collaborative data training solutions by coordinating multiple hospitals to train and share encrypted federated models without leakage of data privacy.
no code implementations • 26 Feb 2021 • Rajesh Kumar, Wenyong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali
Specifically for malware detection task, (i) we propose a novel user (local) neural network (LNN) which trains on local distribution and (ii) then to assure the model authenticity and quality, we propose a novel smart contract which enable aggregation process over blokchain platform.
1 code implementation • 10 Jul 2020 • Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang, Jay Kumar, Ting Yang, Noorbakhash Amiri Golalirz, Zakria, Ikram Ali, Sidra Shafiq, Wenyong Wang
Blockchain technology authenticates the data and federated learning trains the model globally while preserving the privacy of the organization.
no code implementations • IJCNLP 2019 • Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang
However, the sampled information from latent space usually becomes useless due to the KL divergence vanishing issue, and the highly abstractive global variables easily dilute the personal features of replier, leading to a non replier-specific response.
no code implementations • 30 Jan 2019 • Ziling Wu, Abdulaziz Alorf, Ting Yang, Ling Li, Yunhui Zhu
In this paper, we report a robust hierarchical synthesis reconstruction approach, where training data is pre-processed to separate the information on the domains where sampling biases are suspected.
no code implementations • 27 Apr 2016 • Lei Han, Kean Ming Tan, Ting Yang, Tong Zhang
A major challenge for building statistical models in the big data era is that the available data volume far exceeds the computational capability.