output
20162026
most citedAlbumentations: fast and flexible image augmentations

2.3k citations

Showing 2024Show all

26 papers · 1 filter

cs.RO2024★ 1 cited

Energy-Efficient SLAM via Joint Design of Sensing, Communication, and Exploration Speed

Zidong Han, Ruibo Jin, Xiaoyang Li +3

To support future spatial machine intelligence applications, lifelong simultaneous localization and mapping (SLAM) has drawn significant attentions. SLAM is usually realized based…

cs.IT2024★ 43 cited

Movable Antenna-Aided Near-Field Integrated Sensing and Communication

Jingze Ding, Zijian Zhou, Xiaodan Shao +2

Integrated sensing and communication (ISAC) is emerging as a pivotal technology for next-generation wireless networks. However, existing ISAC systems are based on fixed-position an…

eess.IV2024★ 6 cited

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Yifei Sun, Zhanghao Chen, Hao Zheng +7

Lung diseases represent a significant global health challenge, with Chest X-Ray (CXR) being a key diagnostic tool due to its accessibility and affordability. Nonetheless, the detec…

math.OC2024

Parallel Graver Basis Extraction for Nonlinear Integer Optimization

Wenbo Liu, Akang Wang, Wenguo Yang

The augmentation scheme provides a nontraditional approach to nonlinear integer programming by iteratively refining incumbent solutions along objective-improving directions from th…

cs.LG2024★ 3 cited

CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing

Zijian Zhao, Fanyi Meng, Zhonghao Lyu +3

Channel state information (CSI) is a fundamental component in both wireless communication and sensing systems, enabling critical functions such as radio resource optimization and e…

cs.CV2024★ 1 cited

LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking

Zijian Zhao, Tingwei Chen, Fanyi Meng +4

Data-driven Wi-Fi localization and tracking have shown great promise due to their lower reliance on specialized hardware compared to model-based methods. However, most existing dat…

cs.CV2024★ 1 cited

KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment

Zijian Zhao, Zhijie Cai, Tingwei Chen +4

Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information…

cs.SD2024★ 11 cited

Speech Separation with Pretrained Frontend to Minimize Domain Mismatch

Wupeng Wang, Zexu Pan, Xinke Li +2

Speech separation seeks to separate individual speech signals from a speech mixture. Typically, most separation models are trained on synthetic data due to the unavailability of ta…

eess.IV2024★ 16 cited

From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning

Yuncheng Jiang, Chun-Mei Feng, Jinke Ren +15

Ultrasound imaging is widely used in clinical diagnosis due to its non-invasive nature and real-time capabilities. However, traditional ultrasound diagnostics relies heavily on phy…

cs.AI2024★ 18 cited

An overview of domain-specific foundation model: key technologies, applications and challenges

Haolong Chen, Hanzhi Chen, Zijian Zhao +6

The impressive performance of ChatGPT and other foundation-model-based products in human language understanding has prompted both academia and industry to explore how these models…

cs.CV2024★ 15 cited

CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network

Zijian Zhao, Tingwei Chen, Zhijie Cai +4

In recent years, Wi-Fi sensing has garnered significant attention due to its numerous benefits, such as privacy protection, low cost, and penetration ability. Extensive research ha…

eess.SP2024★ 143 cited

Channel Estimation for Movable-Antenna MIMO Systems Via Tensor Decomposition

Ruoyu Zhang, Lei Cheng, Wei Zhang +4

In this letter, we investigate the channel estimation problem for MIMO wireless communication systems with movable antennas (MAs) at both the transmitter (Tx) and receiver (Rx). To…

math.NA2024★ 1 cited

A Relaxed Lagrange Multiplier Approach for Phase Field Models

Jinpeng Zhang, Chaoyu Quan, Xiaoping Wang

This paper introduces a novel relaxed Lagrange multiplier (RLM) method for designing efficient and energy-stable numerical schemes for phase-field models. The proposed approach ref…

eess.SP2024

Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need

Tingwei Chen, Yantao Wang, Hanzhi Chen +5

The introduction of 5G technology has revolutionized communications, enabling unprecedented capacity, connectivity, and ultra-fast, reliable communications. However, this leap has…

cs.IT2024★ 7 cited

Fast Fractional Programming for Multi-Cell Integrated Sensing and Communications

Yannan Chen, Yi Feng, Xiaoyang Li +2

This paper concerns the coordinate multi-cell beamforming design for integrated sensing and communications (ISAC). In particular, we assume that each base station (BS) has massive…

eess.SY2024

A Local Gaussian Process Regression Approach to Frequency Response Function Estimation

Xiaozhu Fang, Yu Xu, Tianshi Chen

Frequency response function (FRF) estimation is a classical subject in system identification. In the past two decades, there have been remarkable advances in developing local metho…

cs.SD2024★ 16 cited

Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis

Sho Inoue, Kun Zhou, Shuai Wang +1

It remains a challenge to effectively control the emotion rendering in text-to-speech (TTS) synthesis. Prior studies have primarily focused on learning a global prosodic representa…

cs.CL2024★ 56 cited

ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Chenyu Huang, Zhengyang Tang, Shixi Hu +5

Optimization modeling plays a critical role in the application of Operations Research (OR) tools to address real-world problems, yet they pose challenges and require extensive expe…

cs.CL2024★ 7 cited

Is Your LLM Outdated? A Deep Look at Temporal Generalization

Chenghao Zhu, Nuo Chen, Yufei Gao +3

The rapid advancement of Large Language Models (LLMs) has led to the development of benchmarks that consider temporal dynamics, however, there remains a gap in understanding how we…

cs.CR2024★ 3 cited

Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing

ZhenZhe Gao, Zhenjun Tang, Zhaoxia Yin +2

Neural networks have increasingly influenced people's lives. Ensuring the faithful deployment of neural networks as designed by their model owners is crucial, as they may be suscep…

cs.LG2024★ 15 cited

Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing

Zijian Zhao, Tingwei Chen, Fanyi Meng +3

Despite the development of various deep learning methods for Wi-Fi sensing, package loss often results in noncontinuous estimation of the Channel State Information (CSI), which neg…

eess.SP2024★ 37 cited

RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks

Xiaojie Li, Songyang Zhang, Hang Li +7

Multi-band radiomap reconstruction (MB-RMR) is a key component in wireless communications for tasks such as spectrum management and network planning. However, traditional machine-l…

cs.LG2024★ 25 cited

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach

Hao Zhang, Qingfeng Lin, Yang Li +2

Activity detection is an important task in the next generation grant-free multiple access. While there are a number of existing algorithms designed for this purpose, they mostly re…

cs.IT2024★ 23 cited

IRS Aided Millimeter-Wave Sensing and Communication: Beam Scanning, Beam Splitting, and Performance Analysis

Renwang Li, Xiaodan Shao, Shu Sun +2

Integrated sensing and communication (ISAC) has attracted growing interests for enabling the future 6G wireless networks, due to its capability of sharing spectrum and hardware res…