no code implementations • 4 Jun 2024 • Zhuoyang Li, Liran Deng, Hui Liu, Qiaoqiao Liu, Junzhao Du
Concurrently, to augment overall accuracy in question answering, we further adapt the Retrieval-Augmented Generation (RAG) process to the knowledge graph.
no code implementations • 28 Jan 2021 • Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du
There are many deep learning (e. g., DNN) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of human lives.
no code implementations • 8 Jun 2020 • Sicong Liu, Junzhao Du, Kaiming Nan, ZimuZhou, Atlas Wang, Yingyan Lin
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a tremendously growing demand for bringing DNN-powered intelligence into mobile platforms.
no code implementations • 8 Jun 2020 • Sicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong
This work departs from prior works in methodology: we leverage adversarial learning to a better balance between privacy and utility.
no code implementations • ICLR 2019 • Sicong Liu, Anshumali Shrivastava, Junzhao Du, Lin Zhong
This work represents a methodical departure from prior works: we balance between a measure of privacy and another of utility by leveraging adversarial learning to find a sweeter tradeoff.