Search Results for author: Ruiqi Wang

Found 25 papers, 9 papers with code

Optimizing Edge Offloading Decisions for Object Detection

2 code implementations24 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.

Object object-detection +1

AuD-Former: A Hierarchical Transformer Network for Multimodal Audio-Based Disease Prediction

no code implementations11 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.

Disease Prediction Medical Diagnosis

Causal Evaluation of Language Models

2 code implementations1 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.

Causal Discovery Causal Inference +1

SRLM: Human-in-Loop Interactive Social Robot Navigation with Large Language Model and Deep Reinforcement Learning

no code implementations22 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.

Benchmarking Language Modelling +3

AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising

no code implementations5 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.

Denoising Optical Flow Estimation

Hyperedge Interaction-aware Hypergraph Neural Network

no code implementations28 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.

Mutual Coupling in RIS-Aided Communication: Model Training and Experimental Validation

no code implementations17 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.

Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints

1 code implementation8 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.

Image Classification

Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection

1 code implementation30 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.

Anomaly Detection Time Series +1

Domestic Activities Classification from Audio Recordings Using Multi-scale Dilated Depthwise Separable Convolutional Network

no code implementations9 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.

A Wideband Reconfigurable Intelligent Surface for 5G Millimeter-Wave Applications

no code implementations23 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.

Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images

no code implementations21 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.

Active Learning Diversity +3

A Via-less Fully Screen-Printed Reconfigurable Intelligent Surface for 5G Millimeter Wave Communication

no code implementations7 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.

Divergence Results and Convergence of a Variance Reduced Version of ADAM

no code implementations11 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.

Stochastic Optimization

Adaptive Edge Offloading for Image Classification Under Rate Limit

1 code implementation31 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.

Classification Image Classification

Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization

no code implementations10 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.

Domain Generalization Pseudo Label +1

Towards Interpretable Attention Networks for Cervical Cancer Analysis

no code implementations27 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.

Classification Deep Learning

SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting

1 code implementation16 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

Time-constrained Adaptive Influence Maximization

no code implementations6 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

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