Search Results for author: Ping Zhang

Found 21 papers, 10 papers with code

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 Frame

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.

Nonlinear Transform Source-Channel Coding for Semantic Communications

no code implementations21 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.

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, Yuexian Zou, Ping Zhang, 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.

Person Re-Identification

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

1 code implementation28 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 performance 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

We report the evaluation of the systematic shifts and the total uncertainty of an ${}^{27}\textrm{Al}^+$ optical clock sympathetically cooled by a ${}^{40}\textrm{Ca}^+$ ion.

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.

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.

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