Publications (43)
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
Cheng Peng, Xi Yang, Aokun Chen +6
Objective To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via pr…
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger +3
How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g. object detection, motion for…
Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods
Aman Pathak, Zehao Yu, Daniel Paredes +5
The ultrasound characteristics of thyroid nodules guide the evaluation of thyroid cancer in patients with thyroid nodules. However, the characteristics of thyroid nodules are often…
Quantized Andreev conductance in semiconductor nanowires
Yichun Gao, Wenyu Song, Yuhao Wang +20
Clean one-dimensional electron systems can exhibit quantized conductance. The plateau conductance doubles if the transport is dominated by Andreev reflection. Here, we report quant…
Anisotropy of PbTe nanowires with and without a superconductor
Zonglin Li, Wenyu Song, Shan Zhang +17
We investigate the anisotropic behaviors in PbTe and PbTe-Pb hybrid nanowires. In previous studies on PbTe, wire-to-wire variations in anisotropy indicate poor device control, posi…
Regression analysis of elliptically symmetric direction data
Zehao Yu, Xianzheng Huang
A comprehensive toolkit is developed for regression analysis of directional data based on a flexible class of angular Gaussian distributions. Informative testing procedures for iso…
Hard superconducting gap in PbTe nanowires
Yichun Gao, Wenyu Song, Shuai Yang +15
Semiconductor nanowires coupled to a superconductor provide a powerful testbed for quantum device physics such as Majorana zero modes and gate-tunable hybrid qubits. The performanc…
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Binbin Huang, Zehao Yu, Anpei Chen +2
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed without baking. However…
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing
Aokun Chen, Daniel Paredes, Zehao Yu +13
Delirium is an acute decline or fluctuation in attention, awareness, or other cognitive function that can lead to serious adverse outcomes. Despite the severe outcomes, delirium is…
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions
Guosheng Hu, Yuxin Hu, Kai Yang +8
We propose a novel investment decision strategy (IDS) based on deep learning. The performance of many IDSs is affected by stock similarity. Most existing stock similarity measureme…
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
Cheng Peng, Xi Yang, Kaleb E Smith +4
Objective To develop soft prompt-based learning algorithms for large language models (LLMs), examine the shape of prompts, prompt-tuning using frozen/unfrozen LLMs, transfer learni…
Ballistic PbTe Nanowire Devices
Yuhao Wang, Fangting Chen, Wenyu Song +18
Disorder is the primary obstacle in current Majorana nanowire experiments. Reducing disorder or achieving ballistic transport is thus of paramount importance. In clean and ballisti…
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures
Aokun Chen, Zehao Yu, Xi Yang +3
Objective: To develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. This project is part of the 20…
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Zehao Yu, Torsten Sattler, Andreas Geiger
Recently, 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis results, while allowing the rendering of high-resolution images in real-time. However, lever…
PNet: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Zehao Yu, Lei Jin, Shenghua Gao
This paper tackles the unsupervised depth estimation task in indoor environments. The task is extremely challenging because of the vast areas of non-texture regions in these scenes…
Mip-Splatting: Alias-free 3D Gaussian Splatting
Zehao Yu, Anpei Chen, Binbin Huang +2
Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when chan…
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension
Cheng Peng, Xi Yang, Zehao Yu +3
Objective: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehens…
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
Zehao Yu, Xi Yang, Chong Dang +8
Social and behavioral determinants of health (SBDoH) have important roles in shaping people's health. In clinical research studies, especially comparative effectiveness studies, fa…
On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control
Zehao Yu, Cong Shen, Pengkai Zhao +1
Implementation cost and power consumption are two important considerations in modern wireless communications, particularly in large-scale multi-antenna systems where the number of…
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer +2
In recent years, neural implicit surface reconstruction methods have become popular for multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these ap…
PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes
Ruoyu Wang, Zehao Yu, Shenghua Gao
Multiple near frontal-parallel planes based depth representation demonstrated impressive results in self-supervised monocular depth estimation (MDE). Whereas, such a representation…
3D Neural Edge Reconstruction
Lei Li, Songyou Peng, Zehao Yu +4
Real-world objects and environments are predominantly composed of edge features, including straight lines and curves. Such edges are crucial elements for various applications, such…
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies
Zehao Yu, Xi Yang, Chong Dang +12
Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i.e., SOcial DeterminAnts), with pre-trained transformer models to extract social deter…
Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views
Chong Bao, Xiyu Zhang, Zehao Yu +4
Neural rendering has demonstrated remarkable success in high-quality 3D neural reconstruction and novel view synthesis with dense input views and accurate poses. However, applying…
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking
Yushi Liu, Alexander Qualmann, Zehao Yu +5
Bin picking is an important building block for many robotic systems, in logistics, production or in household use-cases. In recent years, machine learning methods for the predictio…
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning
Cheng Peng, Zehao Yu, Kaleb E Smith +3
The progress in natural language processing (NLP) using large language models (LLMs) has greatly improved patient information extraction from clinical narratives. However, most met…
Strong enhancement of g-factor in PbTe-Pb hybrid nanowires
Shan Zhang, Wenyu Song, Zonglin Li +17
We report large Lande g-factors observed in PbTe-Pb hybrid nanowires. The g-factor can reach 83, significantly larger than those in bare PbTe nanowires (typically below 20). We att…
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun +1
An Axial Shifted MLP architecture (AS-MLP) is proposed in this paper. Different from MLP-Mixer, where the global spatial feature is encoded for information flow through matrix tran…
Presence versus absence of charging energies in PbTe quantum dots
Yuhao Wang, Lining Yang, Wenyu Song +18
Charging energy () is essential in quantum dot (QD) devices. Previous studies on PbTe QDs have reported both the presence and absence of . To resolve this ambiguity, we v…
OASIS: From Simulation Data Collection to Real-World Humanoid Loco-Manipulation
Zehao Yu, Jiakun Zheng, Weiji Xie +4
Recent progress in robot manipulation has been largely driven by learning from large-scale demonstrations. For humanoid robot loco-manipulation tasks, however, existing data source…
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu, Jia Zheng, Dongze Lian +2
Single-image piece-wise planar 3D reconstruction aims to simultaneously segment plane instances and recover 3D plane parameters from an image. Most recent approaches leverage convo…
SQUID oscillations in PbTe nanowire networks
Yichun Gao, Wenyu Song, Zehao Yu +18
Network structures by semiconductor nanowires hold great promise for advanced quantum devices, especially for applications in topological quantum computing. In this study, we creat…
Selective-Area-Grown PbTe-Pb Planar Josephson Junctions for Quantum Devices
Ruidong Li, Wenyu Song, Wentao Miao +17
Planar Josephson junctions are predicted to host Majorana zero modes. The material platforms in previous studies are two dimensional electron gases (InAs, InSb, InAsSb and HgTe) co…
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction
Yuting Xiao, Jingwei Xu, Zehao Yu +1
In recent years, the neural implicit surface has emerged as a powerful representation for multi-view surface reconstruction due to its simplicity and state-of-the-art performance.…
Clinical Relation Extraction Using Transformer-based Models
Xi Yang, Zehao Yu, Yi Guo +2
The newly emerged transformer technology has a tremendous impact on NLP research. In the general English domain, transformer-based models have achieved state-of-the-art performance…
Believe It or Not, We Know What You Are Looking at!
Dongze Lian, Zehao Yu, Shenghua Gao
By borrowing the wisdom of human in gaze following, we propose a two-stage solution for gaze point prediction of the target persons in a scene. Specifically, in the first stage, bo…
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu, Shenghua Gao
Almost all previous deep learning-based multi-view stereo (MVS) approaches focus on improving reconstruction quality. Besides quality, efficiency is also a desirable feature for MV…
Proximity effect in PbTe-Pb hybrid nanowire Josephson junctions
Zitong Zhang, Wenyu Song, Yichun Gao +20
Semiconductor-superconductor hybrid nanowires are a leading material platform for the realization of Majorana zero modes. The semiconductors in previous studies are dominantly InAs…
Gate-tunable subband degeneracy in semiconductor nanowires
Yuhao Wang, Wenyu Song, Zhan Cao +20
Degeneracy and symmetry have a profound relation in quantum systems. Here, we report gate-tunable subband degeneracy in PbTe nanowires with a nearly symmetric cross-sectional shape…
Enhanced superconductivity in PbTe-In hybrids
Zuhan Geng, Fangting Chen, Yichun Gao +18
We report the realization of epitaxial indium thin films on PbTe nanowires. The film is continuous and forms an atomically sharp interface with PbTe. Tunneling devices reveal a har…
Elliptically symmetric distributions for directional data of arbitrary dimension
Zehao Yu, Xianzheng Huang
We formulate a class of angular Gaussian distributions that allows different degrees of isotropy for directional random variables of arbitrary dimension. Through a series of novel…
Reducing disorder in PbTe nanowires for Majorana research
Wenyu Song, Zehao Yu, Yuhao Wang +19
Material challenges are the key issue in Majorana research where surface disorder constrains device performance. Here, we tackle this challenge by embedding PbTe nanowires within a…
Conductance Quantization in PbTe Nanowires
Wenyu Song, Yuhao Wang, Wentao Miao +17
PbTe nanowires coupled to a superconductor have recently been proposed as a potential Majorana platform. The hallmark of the one-dimensional nature of ballistic nanowires is their…