2 code implementations • 24 Oct 2024 • Jiaming Qiu, Ruiqi Wang, Brooks Hu, Roch Guerin, Chenyang Lu
Recent advances in machine learning and hardware have produced embedded devices capable of performing real-time object detection with commendable accuracy.
no code implementations • 11 Oct 2024 • Jinjin Cai, Ruiqi Wang, Dezhong Zhao, Ziqin Yuan, Victoria McKenna, Aaron Friedman, Rachel Foot, Susan Storey, Ryan Boente, Sudip Vhaduri, Byung-Cheol Min
Audio-based disease prediction is emerging as a promising supplement to traditional medical diagnosis methods, facilitating early, convenient, and non-invasive disease detection and prevention.
no code implementations • 9 Sep 2024 • Ruiqi Wang, Zichen Wang, Peiqi Gao, Mingzhen Li, Jaehwan Jeong, Yihang Xu, Yejin Lee, Carolyn M. Baum, Lisa Tabor Connor, Chenyang Lu
With advancements in computer vision and deep learning, video-based human action recognition (HAR) has become practical.
1 code implementation • 7 Aug 2024 • Ruiqi Wang, Jinyang Huang, Jie Zhang, Xin Liu, Xiang Zhang, Zhi Liu, Peng Zhao, Sigui Chen, Xiao Sun
Depression is a prevalent mental health disorder that significantly impacts individuals' lives and well-being.
2 code implementations • 1 May 2024 • Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu
Recent advances in language models have expanded the horizons of artificial intelligence across various domains, sparking inquiries into their potential for causal reasoning.
no code implementations • 30 Apr 2024 • Yiming Yang, Mohammad Vaseem, Ruiqi Wang, Behrooz Makki, Atif Shamim
The RIS array comprises 20x20 unit cells (4. 54x4. 54{\lambda}^2 at 29. 5 GHz).
no code implementations • 22 Mar 2024 • Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min
An interactive social robotic assistant must provide services in complex and crowded spaces while adapting its behavior based on real-time human language commands or feedback.
no code implementations • 5 Feb 2024 • Maham Tanveer, Yizhi Wang, Ruiqi Wang, Nanxuan Zhao, Ali Mahdavi-Amiri, Hao Zhang
We present AnaMoDiff, a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters.
no code implementations • 28 Jan 2024 • Rongping Ye, Xiaobing Pei, Haoran Yang, Ruiqi Wang
In this paper, we propose HeIHNN, a hyperedge interaction-aware hypergraph neural network, which captures the interactions among hyperedges during the convolution process and introduce a novel mechanism to enhance information flow between hyperedges and nodes.
no code implementations • 17 Nov 2023 • Pinjun Zheng, Ruiqi Wang, Atif Shamim, Tareq Y. Al-Naffouri
Utilizing a fabricated 1-bit quasi-passive RIS prototype operating in the mmWave band, we propose a practical model training approach based on a single 3D full-wave simulation of the RIS radiation pattern, which enables the estimation of the scattering matrix among RIS unit cells.
1 code implementation • 8 Oct 2023 • Ruiqi Wang, Hanyang Liu, Jiaming Qiu, Moran Xu, Roch Guerin, Chenyang Lu
It is, therefore, important to develop an adaptive approach that maximizes the inference performance of ML applications under timing constraints and the resource constraints of IoT devices.
1 code implementation • 30 Sep 2023 • Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu
Traditional Time-series Anomaly Detection (TAD) methods often struggle with the composite nature of complex time-series data and a diverse array of anomalies.
no code implementations • 9 Jun 2023 • Yufei Zeng, Yanxiong Li, Zhenfeng Zhou, Ruiqi Wang, Difeng Lu
Domestic activities classification (DAC) from audio recordings aims at classifying audio recordings into pre-defined categories of domestic activities, which is an effective way for estimation of daily activities performed in home environment.
no code implementations • 23 Apr 2023 • Ruiqi Wang, Yiming Yang, Behrooz Makki, Atif Shamim
The measurement results demonstrate that the proposed RIS could maintain a 3 dB peak gain variation bandwidth among various array configurations within 22. 5 to 29. 5 GHz (26. 9%) and with a beam scanning capability of 50{\deg}, making this design a good candidate for 5G mm-wave applications.
no code implementations • 21 Mar 2023 • Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang
Specifically, our goal is to obtain fully validated segmentation results by humans while minimizing manual effort.
1 code implementation • 19 Mar 2023 • Chunmeng Liu, Guangyao Li, Yao Shen, Ruiqi Wang
Given a class, the initial seeds generated based on the transformer may invade regions belonging to other classes.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 7 Feb 2023 • Yiming Yang, Ruiqi Wang, Mohammad Vaseem, Behrooz Makki, Atif Shamim
In this paper, we propose a via-less fully screen-printed reconfigurable intelligent surface which can establish a second line-of-sight communication from 23. 5GHz to 29. 5GHz.
1 code implementation • ICCV 2023 • Ruiqi Wang, Xinggang Wang, Te Li, Rong Yang, Minhong Wan, Wenyu Liu
Category-level 6DoF object pose estimation intends to estimate the rotation, translation, and size of unseen objects.
no code implementations • 11 Oct 2022 • Ruiqi Wang, Diego Klabjan
Under a variance reduction assumption, we show that an ADAM-type algorithm converges, which means that it is the variance of gradients that causes the divergence of original ADAM.
1 code implementation • 31 Jul 2022 • Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guerin, Chenyang Lu
Because of limited computing capacity, embedded devices rely on a parsimonious classification model with uneven accuracy.
no code implementations • 10 Oct 2021 • Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao
Also, considering inconsistent goals between generalization and pseudo-labeling: former prevents overfitting on all source domains while latter might overfit the unlabeled source domains for high accuracy, we employ a dual-classifier to independently perform pseudo-labeling and domain generalization in the training process.
no code implementations • 27 May 2021 • Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
Here, we evaluate various state-of-the-art deep learning models and attention-based frameworks for the classification of images of multiple cervical cells.
1 code implementation • 16 Mar 2020 • Chen Ling, Ruiqi Wang, Guangmo Tong
Based on the nature of the grid, we leverage the Temporal Convolution Network to learn the dynamics at the grid level.
Social and Information Networks
no code implementations • 6 Jan 2020 • Guangmo Tong, Ruiqi Wang, Chen Ling, Zheng Dong, Xiang Li
The well-known influence maximization problem aims at maximizing the influence of one information cascade in a social network by selecting appropriate seed users prior to the diffusion process.
Social and Information Networks