no code implementations • 9 Jan 2024 • Haoyi Xiong, Xuhong LI, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
Given the complexity and lack of transparency in deep neural networks (DNNs), extensive efforts have been made to make these systems more interpretable or explain their behaviors in accessible terms.
no code implementations • 2 Jan 2024 • Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
To fast solve the non-smooth loss under a given privacy budget, we develop a Fast Robust And Privacy-Preserving Estimation (FRAPPE) algorithm for least absolute deviation regression.
1 code implementation • 11 Oct 2023 • Xinyu Zhang, Li Wang, Jian Chen, Cheng Fang, Lei Yang, Ziying Song, Guangqi Yang, Yichen Wang, Xiaofei Zhang, Jun Li, Zhiwei Li, Qingshan Yang, Zhenlin Zhang, Shuzhi Sam Ge
Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and higher point cloud density, making it a highly promising sensor for autonomous driving in complex environmental perception.
no code implementations • 24 Sep 2023 • Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang
Recently, with the rise of LLMs and their improved natural language understanding and reasoning capabilities, it has become feasible to model contexts using natural language and perform context reasoning by interacting with LLMs such as ChatGPT and GPT-4.
1 code implementation • 14 Apr 2023 • Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li
This can be rectified by Quality-Diversity (QD) algorithms, where a population of high-quality and diverse solutions to a problem is preferred.
no code implementations • 5 Oct 2022 • Boyu Hua, Haoran Ni, Qiuming Zhu, Cheng-Xiang Wang, Tongtong Zhou, Kai Mao, Junwei Bao, Xiaofei Zhang
Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role for reliable communications between UAV and ground terminal.
no code implementations • 12 Jun 2022 • Xiang Lian, Xiaofei Zhang
As a case study, we use DNNs as the engine in the LMU, and study the data capacity and accuracy of the DNN-based data storage.
no code implementations • 24 May 2022 • Peihao Dong, Qihui Wu, Xiaofei Zhang, Guoru Ding
Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated.
1 code implementation • 2 Dec 2021 • Ryan Wickman, Xiaofei Zhang, Weizi Li
The interconnectedness and interdependence of modern graphs are growing ever more complex, causing enormous resources for processing, storage, communication, and decision-making of these graphs.
no code implementations • 19 Oct 2021 • Meirui Jiang, Xiaoxiao Li, Xiaofei Zhang, Michael Kamp, Qi Dou
In this work, we propose a unified framework to tackle the non-iid issues for internal and external clients together.
no code implementations • 13 Oct 2021 • Ting Liu, Wenwu Wang, Xiaofei Zhang, Zhenyin Gong, Yina Guo
Single channel blind source separation (SCBSS) refers to separate multiple sources from a mixed signal collected by a single sensor.
no code implementations • 13 Oct 2021 • Yina Guo, Xiaofei Zhang, Zhenying Gong, Anhong Wang, Wenwu Wang
A potential approach to this problem is to design an end-to-end method by using a dual generative adversarial network (DualGAN) without dimension reduction of passing information, but it cannot realize one-to-one signal-to-signal translation (see Fig. 1 (a) and (b)).
no code implementations • 29 Sep 2021 • Ryan Wickman, Xiaofei Zhang, Weizi Li
Multi-task learning (MTL) is a field involved with learning multiple tasks simultaneously typically through using shared model parameters.
4 code implementations • ICLR 2021 • Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
The emerging paradigm of federated learning (FL) strives to enable collaborative training of deep models on the network edge without centrally aggregating raw data and hence improving data privacy.