Search Results for author: Ping Zhang

Found 81 papers, 23 papers with code

Enhancing Thermal Infrared Tracking with Natural Language Modeling and Coordinate Sequence Generation

1 code implementation11 Jul 2024 Miao Yan, Ping Zhang, Haofei Zhang, Ruqian Hao, Juanxiu Liu, Xiaoyang Wang, Lin Liu

In this paper, to address these issues, we apply natural language modeling to TIR tracking and propose a novel model called NLMTrack, which enhances the utilization of coordinate and temporal information.

Language Modelling

Receiver Selection and Transmit Beamforming for Multi-static Integrated Sensing and Communications

no code implementations8 Jul 2024 Dan Wang, Yuanming Tian, Chuan Huang, Hao Chen, Xiaodong Xu, Ping Zhang

Next-generation wireless networks are expected to develop a novel paradigm of integrated sensing and communications (ISAC) to enable both the high-accuracy sensing and high-speed communications.

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

1 code implementation3 Jul 2024 Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang

Large Vision Language Models (LVLMs) have recently achieved superior performance in various tasks on natural image and text data, which inspires a large amount of studies for LVLMs fine-tuning and training.

Hallucination Response Generation

MARS: Multimodal Active Robotic Sensing for Articulated Characterization

1 code implementation1 Jul 2024 Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, Fang Li

Precise perception of articulated objects is vital for empowering service robots.

Federated Contrastive Learning for Personalized Semantic Communication

no code implementations13 Jun 2024 Yining Wang, Wanli Ni, Wenqiang Yi, Xiaodong Xu, Ping Zhang, Arumugam Nallanathan

Simulation results verify the superiority of the proposed FedCL framework compared to other distributed learning benchmarks in terms of task performance and robustness under different numbers of clients and channel conditions, especially in low signal-to-noise ratio and highly heterogeneous data scenarios.

Contrastive Learning Decoder +1

DiffCom: Channel Received Signal is a Natural Condition to Guide Diffusion Posterior Sampling

no code implementations11 Jun 2024 Sixian Wang, Jincheng Dai, Kailin Tan, Xiaoqi Qin, Kai Niu, Ping Zhang

Unlike traditional systems that rely on deterministic decoders optimized solely for distortion metrics, our DiffCom leverages raw channel-received signal as a fine-grained condition to guide stochastic posterior sampling.

Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency

no code implementations10 Jun 2024 Jincheng Dai, Xiaoqi Qin, Sixian Wang, Lexi Xu, Kai Niu, Ping Zhang

In this article, we reveal the dual-functionality of deep generative models that reshapes both data compression for efficiency and transmission error concealment for resiliency.

Data Compression

Semantic Similarity Score for Measuring Visual Similarity at Semantic Level

no code implementations6 Jun 2024 Senran Fan, Zhicheng Bao, Chen Dong, Haotai Liang, Xiaodong Xu, Ping Zhang

Unlike traditional symbol-based error-free communication systems, semantic-based visual communication systems extract, compress, transmit, and reconstruct images at the semantic level.

Graph Generation Graph Matching +6

Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning

no code implementations19 May 2024 Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang

However, their performance in healthcare remains under-investigated and potentially limited, due to i) they lack rich domain-specific knowledge and medical reasoning skills; and ii) most state-of-the-art LLMs are unimodal, text-only models that cannot directly process multimodal inputs.

Multimodal Reasoning Question Answering +1

Integrated Sensing and Communication Enabled Cooperative Passive Sensing Using Mobile Communication System

no code implementations15 May 2024 Zhiqing Wei, Haotian Liu, Hujun Li, Wangjun Jiang, Zhiyong Feng, Huici Wu, Ping Zhang

However, multi-BS cooperative passive sensing faces the challenges of synchronization offsets mitigation and sensing information fusion.

Non-stationary Domain Generalization: Theory and Algorithm

no code implementations10 May 2024 Thai-Hoang Pham, Xueru Zhang, Ping Zhang

Domain generalization (DG) deals with such an issue and it aims to learn a model from multiple source domains that can be generalized to unseen target domains.

Domain Generalization Representation Learning

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model

no code implementations9 May 2024 Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li

In large e-commerce platforms, search systems are typically composed of a series of modules, including recall, pre-ranking, and ranking phases.

Binary Classification Contrastive Learning

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records

1 code implementation7 May 2024 Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang

An effective representation of a patient's EHR should hierarchically encompass both the temporal relationships between historical visits and medical events, and the inherent structural information within these elements.

WDMoE: Wireless Distributed Large Language Models with Mixture of Experts

no code implementations6 May 2024 Nan Xue, Yaping Sun, Zhiyong Chen, Meixia Tao, Xiaodong Xu, Liang Qian, Shuguang Cui, Ping Zhang

In this paper, we propose a wireless distributed LLMs paradigm based on Mixture of Experts (MoE), named WDMoE, deploying LLMs collaboratively across edge servers of base station (BS) and mobile devices in the wireless communications system.

SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications

no code implementations12 Apr 2024 Jiangjing Hu, Fengyu Wang, Wenjun Xu, Hui Gao, Ping Zhang

Intelligent task-oriented semantic communications (SemComs) have witnessed great progress with the development of deep learning (DL).

Feature Importance Vehicle Re-Identification

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

1 code implementation6 Mar 2024 Ruoqi Liu, Lingfei Wu, Ping Zhang

To address the challenges, we introduce a novel pre-training and fine-tuning framework, KG-TREAT, which synergizes large-scale observational patient data with biomedical knowledge graphs (KGs) to enhance TEE.

Knowledge Graphs

Rate Splitting Multiple Access-Enabled Adaptive Panoramic Video Semantic Transmission

no code implementations26 Feb 2024 Haixiao Gao, Mengying Sun, Xiaodong Xu, Shujun Han, Bizhu Wang, JingXuan Zhang, Ping Zhang

We propose an RSMA-enabled semantic stream transmission scheme and formulate a joint problem of latency and immersive experience quality by optimizing the allocation ratios of power, common rate, and channel bandwidth, aiming to maximize the quality of service (QoS) scores for users.

Semantic Communication SSIM

Pragmatic Communication in Multi-Agent Collaborative Perception

no code implementations23 Jan 2024 Yue Hu, Xianghe Pang, Xiaoqi Qin, Yonina C. Eldar, Siheng Chen, Ping Zhang, Wenjun Zhang

Following this strategy, we first formulate a mathematical optimization framework for the perception-communication trade-off and then propose PragComm, a multi-agent collaborative perception system with two key components: i) single-agent detection and tracking and ii) pragmatic collaboration.

3D Object Detection object-detection

MOC-RVQ: Multilevel Codebook-assisted Digital Generative Semantic Communication

no code implementations2 Jan 2024 Yingbin Zhou, Yaping Sun, GuanYing Chen, Xiaodong Xu, Hao Chen, Binhong Huang, Shuguang Cui, Ping Zhang

Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face a challenge with conflicting requirements between codebook design and digital constellation modulation.

Quantization Semantic Communication

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion

no code implementations2 Jan 2024 Dongxu Li, Jianhao Huang, Chuan Huang, Xiaoqi Qin, Han Zhang, Ping Zhang

For the case with unknown semantic source distribution, while only a set of the source samples is available, we propose a neural-network-based method by leveraging the generative networks to learn the semantic source distribution.

Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool

no code implementations16 Dec 2023 Jialin Wang, Jianhua Zhang, Yuxiang Zhang, Yutong Sun, Gaofeng, Nie, Lianzheng Shi, Ping Zhang, Guangyi Liu

The digital twin channel (DTC) is crucial for 6G wireless autonomous networks as it replicates the wireless channel fading states in 6G air interface transmissions.

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging

1 code implementation6 Dec 2023 Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng, Ping Zhang

We conducted a comprehensive empirical study to demonstrate the superiority of DREAM, including sleep stage prediction experiments, a case study, the usage of unlabeled data, and uncertainty.

EEG Representation Learning +2

Knowledge Base Enabled Semantic Communication: A Generative Perspective

no code implementations21 Nov 2023 Jinke Ren, Zezhong Zhang, Jie Xu, GuanYing Chen, Yaping Sun, Ping Zhang, Shuguang Cui

Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks.

Semantic Communication

Sensing-assisted Accurate and Fast Beam Management for Cellular-connected mmWave UAV Network

no code implementations12 Oct 2023 Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Qin Wen, Ying Zhou, Zhiqing Wei, Ping Zhang

This paper presents a novel sensing-assisted beam management approach, the first solution that fully utilizes the information from the visual domain to improve communication performance.

Management

Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective

no code implementations2 Oct 2023 Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang

In this article, we investigate applications of GAI in the physical layer and analyze its support for integrated sensing and communications (ISAC) systems.

Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overview

no code implementations5 Sep 2023 Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang, Danilo Comminiello

Semantic communication is poised to play a pivotal role in shaping the landscape of future AI-driven communication systems.

Semantic Communication

Sensiverse: A dataset for ISAC study

no code implementations26 Aug 2023 Jiajin Luo, Baojian Zhou, Yang Yu, Ping Zhang, Xiaohui Peng, Jianglei Ma, Peiying Zhu, Jianmin Lu, Wen Tong

In order to address the lack of applicable channel models for ISAC research and evaluation, we release Sensiverse, a dataset that can be used for ISAC research.

SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding

1 code implementation18 Aug 2023 Ke Yang, Sixian Wang, Jincheng Dai, Xiaoqi Qin, Kai Niu, Ping Zhang

As one of the key techniques to realize semantic communications, end-to-end optimized neural joint source-channel coding (JSCC) has made great progress over the past few years.

Semantic Communications with Explicit Semantic Base for Image Transmission

no code implementations12 Aug 2023 Yuan Zheng, Fengyu Wang, Wenjun Xu, Miao Pan, Ping Zhang

Semantic communications, aiming at ensuring the successful delivery of the meaning of information, are expected to be one of the potential techniques for the next generation communications.

Decoder Image Reconstruction +1

Efficient Gaussian Process Classification-based Physical-Layer Authentication with Configurable Fingerprints for 6G-Enabled IoT

no code implementations23 Jul 2023 Rui Meng, Fangzhou Zhu, Xiaodong Xu, Liang Jin, Bizhu Wang, Bingxuan Xu, Han Meng, Ping Zhang

Physical-Layer Authentication (PLA) has been recently believed as an endogenous-secure and energy-efficient technique to recognize IoT terminals.

Active Learning

ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication

no code implementations14 Jul 2023 Wangjun Jiang, Dingyou Ma, Zhiqing Wei, Zhiyong Feng, Ping Zhang

From the simulation results, ISAC-NET obtains better communication performance than the traditional signal demodulation algorithm, which is close to OAMP-Net2.

Toward Intelligent and Efficient 6G Networks: JCSC Enabled On-Purpose Machine Communications

no code implementations30 Jun 2023 Ping Zhang, Heng Yang, Zhiyong Feng, Yanpeng Cui, Jincheng Dai, Xiaoqi Qin, Jinglin Li, Qixun Zhang

Driven by the vision of "intelligent connection of everything" toward 6G, the collective intelligence of networked machines can be fully exploited to improve system efficiency by shifting the paradigm of wireless communication design from naive maximalist approaches to intelligent value-based approaches.

Toward Trusted and Swift UAV Communication: ISAC-Enabled Dual Identity Mapping

no code implementations30 Jun 2023 Yanpeng Cui, Zhiyong Feng, Qixun Zhang, Zhiqing Wei, Chenlong Xu, Ping Zhang

This tutorial for the intelligent and efficient UAV network brings new insight on providing dual-domain identity via ISAC technology, with an eye on trusted and swift communication research tailored for the 6G UAV network.

Intelligent Communication Management

Specific Beamforming for Multi-UAV Networks: A Dual Identity-based ISAC Approach

no code implementations28 Jun 2023 Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Fan Liu, Ce Shi, Jinpo Fan, Ping Zhang

Beam alignment is essential to compensate for the high path loss in the millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV) network.

Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts

no code implementations21 Jun 2023 Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng

Results: We introduce four SEIR variants to fit different situations in different countries and regions.

Channel Measurement, Modeling, and Simulation for 6G: A Survey and Tutorial

no code implementations26 May 2023 Jianhua Zhang, Jiaxin Lin, Pan Tang, Yuxiang Zhang, Huixin Xu, Tianyang Gao, Haiyang Miao, Zeyong Chai, Zhengfu Zhou, Yi Li, Huiwen Gong, Yameng Liu, Zhiqiang Yuan, Lei Tian, Shaoshi Yang, Liang Xia, Guangyi Liu, Ping Zhang

Then, a survey of the progress of the 6G channel research regarding the above five promising technologies is presented in terms of the latest measurement campaigns, new characteristics, modeling methods, and research prospects.

Location Tracking for Reconfigurable Intelligent Surfaces Aided Vehicle Platoons: Diverse Sparsities Inspired Approaches

no code implementations7 May 2023 Yuanbin Chen, Ying Wang, Xufeng Guo, Zhu Han, Ping Zhang

In this paper, we investigate the employment of reconfigurable intelligent surfaces (RISs) into vehicle platoons, functioning in tandem with a base station (BS) in support of the high-precision location tracking.

Bayesian Inference Philosophy

Scalable Multi-task Semantic Communication System with Feature Importance Ranking

no code implementations12 Apr 2023 Jiangjing Hu, Fengyu Wang, Wenjun Xu, Hui Gao, Ping Zhang

Semantic communications are expected to be an innovative solution to the emerging intelligent applications in the era of connected intelligence.

Feature Importance Semantic Communication

Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications

1 code implementation26 Mar 2023 Sixian Wang, Jincheng Dai, Xiaoqi Qin, Zhongwei Si, Kai Niu, Ping Zhang

First, we introduce a contextual entropy model to better capture the spatial correlations among the semantic latent features, thereby more accurate rate allocation and contextual joint source-channel coding are developed accordingly to enable higher coding gain.

Data Interaction

NeurJSCC Enabled Semantic Communications: Paradigms, Applications, and Potentials

no code implementations26 Mar 2023 Sixian Wang, Jincheng Dai, Xiaoqi Qin, Kai Niu, Ping Zhang

We first focus on those two paradigms of NeurJSCC by identifying their common and different components in building end-to-end communication systems.

Fairness and Accuracy under Domain Generalization

1 code implementation30 Jan 2023 Thai-Hoang Pham, Xueru Zhang, Ping Zhang

Although many approaches have been proposed to make ML models fair, they typically rely on the assumption that data distributions in training and deployment are identical.

Domain Generalization Fairness +1

Conditional generalized quantiles based on expected utility model and equivalent characterization of properties

no code implementations29 Jan 2023 Qinyu Wu, Fan Yang, Ping Zhang

As a counterpart to the (static) risk measures of generalized quantiles and motivated by Bellini et al. (2018), we propose a new kind of conditional risk measure called conditional generalized quantiles.

Semantic Communication for Internet of Vehicles: A Multi-User Cooperative Approach

no code implementations6 Dec 2022 Wenjun Xu, Yimeng Zhang, Fengyu Wang, Zhijin Qin, Chenyao Liu, Ping Zhang

Internet of Vehicles (IoV) is expected to become the central infrastructure to provide advanced services to connected vehicles and users for higher transportation efficiency and security.

Image Retrieval Retrieval +1

5G PRS-Based Sensing: A Sensing Reference Signal Approach for Joint Sensing and Communication System

no code implementations21 Nov 2022 Zhiqing Wei, YuAn Wang, Liang Ma, Shaoshi Yang, Zhiyong Feng, Chengkang Pan, Qixun Zhang, Yajuan Wang, Huici Wu, Ping Zhang

In this paper, we investigate how to apply the positioning reference signal (PRS) of the 5th generation (5G) mobile communications in radar sensing.

Autonomous Driving

Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding

no code implementations8 Nov 2022 Jincheng Dai, Sixian Wang, Ke Yang, Kailin Tan, Xiaoqi Qin, Zhongwei Si, Kai Niu, Ping Zhang

Specifically, we update the off-the-shelf pre-trained models after deployment in a lightweight online fashion to adapt to the distribution shifts in source data and environment domain.

Semantic Communication

WITT: A Wireless Image Transmission Transformer for Semantic Communications

2 code implementations2 Nov 2022 Ke Yang, Sixian Wang, Jincheng Dai, Kailin Tan, Kai Niu, Ping Zhang

In this paper, we aim to redesign the vision Transformer (ViT) as a new backbone to realize semantic image transmission, termed wireless image transmission transformer (WITT).

Image Classification

How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction

no code implementations17 Sep 2022 Yutong Sun, Jianhua Zhang, Li Yu, Zhen Zhang, Ping Zhang

Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping methods, this work aims to provide a new view of the environment from the semantic level, which defines the propagation environment semantics (PES) as a limited set of propagation environment semantic symbols (PESS) for diverse application tasks.

Semantic Communication

DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks

no code implementations1 Sep 2022 Xinyu Gao, Wenqiang Yi, Yuanwei Liu, Jianhua Zhang, Ping Zhang

Moreover, in order to improve the performance of the MO-PPO algorithm, two update strategies, i. e., action-value-based update strategy (AVUS) and loss function-based update strategy (LFUS), are investigated.

Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding

no code implementations4 Aug 2022 Jincheng Dai, Ping Zhang, Kai Niu, Sixian Wang, Zhongwei Si, Xiaoqi Qin

Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable communications.

Diversity

Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning

no code implementations17 Jul 2022 Jingheng Zheng, Hui Tian, Wanli Ni, Wei Ni, Ping Zhang

Under perfect channel state information (CSI), the new framework minimizes the aggregated model's distortion and retains the local models' recoverability by optimizing the transmit beamformers of the devices, the receive beamformers of the BS, and the RIS configuration in an alternating manner.

Federated Learning Robust Design

Wireless Deep Video Semantic Transmission

no code implementations26 May 2022 Sixian Wang, Jincheng Dai, Zijian Liang, Kai Niu, Zhongwei Si, Chao Dong, Xiaoqi Qin, Ping Zhang

In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels.

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes

1 code implementation19 May 2022 Changchang Yin, Ruoqi Liu, Jeffrey Caterino, Ping Zhang

Although some treatment actions non-survivors received may be helpful, if confounders cause the mortality, the training of RL models guided by long-term outcomes (e. g., 90-day mortality) would punish those treatment actions causing the learned DTR policies to be suboptimal.

Reinforcement Learning (RL)

READ: Large-Scale Neural Scene Rendering for Autonomous Driving

1 code implementation11 May 2022 Zhuopeng Li, Lu Li, Zeyu Ma, Ping Zhang, Junbo Chen, Jianke Zhu

In this paper, a large-scale neural rendering method is proposed to synthesize the autonomous driving scene~(READ), which makes it possible to synthesize large-scale driving scenarios on a PC through a variety of sampling schemes.

3D Scene Reconstruction Autonomous Driving +4

Reconfigurable Intelligent Surface (RIS)-aided Vehicular Networks: Their Protocols, Resource Allocation, and Performance

no code implementations5 Mar 2022 Yuanbin Chen, Ying Wang, Jiayi Zhang, Ping Zhang, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) assist in paving the way for the evolution of conventional vehicular networks to autonomous driving.

Autonomous Driving

Innovative semantic communication system

no code implementations19 Feb 2022 Chen Dong, Haotai Liang, Xiaodong Xu, Shujun Han, Bizhu Wang, Ping Zhang

In particular, the semantic communication system for image, namely AESC-I, is designed to verify the feasibility of the new paradigm.

Decoder Semantic Communication

Nonlinear Transform Source-Channel Coding for Semantic Communications

1 code implementation21 Dec 2021 Jincheng Dai, Sixian Wang, Kailin Tan, Zhongwei Si, Xiaoqi Qin, Kai Niu, Ping Zhang

In the considered model, the transmitter first learns a nonlinear analysis transform to map the source data into latent space, then transmits the latent representation to the receiver via deep joint source-channel coding.

Learning to Select Exogenous Events for Marked Temporal Point Process

no code implementations NeurIPS 2021 Ping Zhang, Rishabh Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De

Marked temporal point processes (MTPPs) have emerged as a powerful modelingtool for a wide variety of applications which are characterized using discreteevents localized in continuous time.

Point Processes

Temporal Clustering with External Memory Network for Disease Progression Modeling

1 code implementation29 Sep 2021 Zicong Zhang, Changchang Yin, Ping Zhang

Disease progression modeling (DPM) involves using mathematical frameworks to quantitatively measure the severity of how certain disease progresses.

Clustering

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning

1 code implementation25 Sep 2021 Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang

In particular, MuViTaNet complements patient representation by using a multi-view encoder to effectively extract information by considering clinical data as both sequences of clinical visits and sets of clinical features.

Multi-Task Learning

Contrastive Attention for Automatic Chest X-ray Report Generation

no code implementations Findings (ACL) 2021 Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Yuexian Zou, Xu sun

In addition, according to the analysis, the CA model can help existing models better attend to the abnormal regions and provide more accurate descriptions which are crucial for an interpretable diagnosis.

Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system

no code implementations10 Apr 2021 Ping Zhang, Zhenxiang Tao, Wenjie Yang, Minze Chen, Shan Ding, Xiaodong Liu, Rui Yang, HUI ZHANG

Surveillance cameras are widely applied for indoor occupancy measurement and human movement perception, which benefit for building energy management and social security.

energy management Management +1

TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding

2 code implementations28 Mar 2021 Biplob Biswas, Thai-Hoang Pham, Ping Zhang

International Classification of Disease (ICD) coding procedure which refers to tagging medical notes with diagnosis codes has been shown to be effective and crucial to the billing system in medical sector.

Giant Inverse Rashba-Edelstein Effect: Application to Monolayer OsBi$_2$

no code implementations11 Mar 2021 Rui Song, Ning Hao, Ping Zhang

We propose that the hybridization between two sets of Rashba bands can lead to an unconventional topology where the two Fermi circles from different bands own in-plane helical spin textures with the same chiralities, and possess group velocities with the same directions.

Materials Science Mesoscale and Nanoscale Physics

Evaluation of the systematic shifts of a ${}^{40}\textrm{Ca}^+-{}^{27}\textrm{Al}^+$ optical clock

no code implementations10 Dec 2020 Kaifeng Cui, Sijia Chao, Chenglong Sun, Shaomao Wang, Ping Zhang, Yuanfei Wei, Jian Cao, Hualin Shu, Xueren Huang

Quantum-logic-based ${}^{27}\textrm{Al}^+$ optical clock has been demonstrated in several schemes as there are different choices of the auxiliary ion species.

Atomic Physics

Describing the Migdal effect with a bremsstrahlung-like process and many-body effects

no code implementations26 Nov 2020 Zheng-Liang Liang, Chongjie Mo, Fawei Zheng, Ping Zhang

In this paper we incorporate the treatment of the bremsstrahlung process and the electronic many-body effects to give a full description of the Migdal effect in bulk semiconductor targets diamond and silicon.

High Energy Physics - Phenomenology Materials Science

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation

1 code implementation19 Oct 2020 Zicong Zhang, Kimerly Powell, Changchang Yin, Shilei Cao, Dani Gonzalez, Yousef Hannawi, Ping Zhang

In this paper, we propose a novel brain atlas guided attention U-Net (BAGAU-Net) that leverages only FLAIR images with a spatially-registered white matter (WM) brain atlas to yield competitive WMH segmentation performance.

Segmentation

Estimating Individual Treatment Effects with Time-Varying Confounders

1 code implementation27 Aug 2020 Ruoqi Liu, Changchang Yin, Ping Zhang

Estimating the individual treatment effect (ITE) from observational data is meaningful and practical in healthcare.

When deep learning meets causal inference: a computational framework for drug repurposing from real-world data

1 code implementation16 Jul 2020 Ruoqi Liu, Lai Wei, Ping Zhang

Drug repurposing is an effective strategy to identify new uses for existing drugs, providing the quickest possible transition from bench to bedside.

Causal Inference

Document Classification for COVID-19 Literature

1 code implementation NLP-COVID19 (ACL) 2020 Bernal Jiménez Gutiérrez, Juncheng Zeng, Dong-dong Zhang, Ping Zhang, Yu Su

The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields.

Classification Document Classification +1

Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks

no code implementations28 May 2020 Jinglin Zhang, Wenjun Xu, Hui Gao, Miao Pan, Zhu Han, Ping Zhang

Aiming to address the beam tracking difficulties, we propose to integrate the conformal array (CA) with the surface of each UAV, which enables the full spatial coverage and the agile beam tracking in highly dynamic UAV mmWave networks.

Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

4 code implementations12 Jun 2019 Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun

Our experimental results demonstrate that the recent graph embedding methods achieve promising results and deserve more attention in the future biomedical graph analysis.

Graph Embedding Link Prediction +2

Enhancing Interpretability of Black-box Soft-margin SVM by Integrating Data-based Priors

no code implementations9 Oct 2017 Shaohan Chen, Chuanhou Gao, Ping Zhang

The lack of interpretability often makes black-box models difficult to be applied to many practical domains.

Cannot find the paper you are looking for? You can Submit a new open access paper.