303 citations · 563 across the 47 of their papers we have counts for
47 papers
Precision Neutron Skins of Pb and Ca from Parity-Violating Electron Scattering
PREX Collaboration, D. Adhikari, H. Albataineh +100
We have measured the parity-violating elastic electron scattering asymmetry in the PREX and CREX experiments on Pb and Ca respectively; these are both doubly-mag…
Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA model
Wenlong Liu, Jiahua Pan, Xingyu Zhang +8
Product matching aims to identify identical or similar products sold on different platforms. By building knowledge graphs (KGs), the product matching problem can be converted to th…
Berry Curvature and Bulk-Boundary Correspondence from Transport Measurement for Photonic Chern Bands
Chao Chen, Run-Ze Liu, Jizhou Wu +12
Berry curvature is a fundamental element to characterize topological quantum physics, while a full measurement of Berry curvature in momentum space was not reported for topological…
Efficient Multi-Channel Speech Enhancement with Spherical Harmonics Injection for Directional Encoding
Jiahui Pan, Pengjie Shen, Hui Zhang +1
Multi-channel speech enhancement extracts speech using multiple microphones that capture spatial cues. Effectively utilizing directional information is key for multi-channel enhanc…
Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement
Jiahui Pan, Shulin He, Hui Zhang +1
Multi-channel speech enhancement utilizes spatial information from multiple microphones to extract the target speech. However, most existing methods do not explicitly model spatial…
PDPCRN: Parallel Dual-Path CRN with Bi-directional Inter-Branch Interactions for Multi-Channel Speech Enhancement
Jiahui Pan, Shulin He, Tianci Wu +2
Multi-channel speech enhancement seeks to utilize spatial information to distinguish target speech from interfering signals. While deep learning approaches like the dual-path convo…
NISF: Neural Implicit Segmentation Functions
Nil Stolt-Ansó, Julian McGinnis, Jiazhen Pan +2
Segmentation of anatomical shapes from medical images has taken an important role in the automation of clinical measurements. While typical deep-learning segmentation approaches ar…
GRAINS: Proximity Sensing of Objects in Granular Materials
Zeqing Zhang, Ruixing Jia, Youcan Yan +5
Proximity sensing detects an object's presence without contact. However, research has rarely explored proximity sensing in granular materials (GM) due to GM's lack of visual and co…
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization
Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao +4
Robotic bin packing is very challenging, especially when considering practical needs such as object variety and packing compactness. This paper presents SDF-Pack, a new approach ba…
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
Jiazhen Pan, Suprosanna Shit, Özgün Turgut +6
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically undersampled due to limited scan time, resulting in aliasing artifacts in the image domain. Hence, dynamic MR reco…
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Jiarong Pan, Stefan Falkner, Felix Berkenkamp +1
Bayesian optimization (BO) is a popular method to optimize costly black-box functions. While traditional BO optimizes each new target task from scratch, meta-learning has emerged a…
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
Changhong Fu, Liangliang Yao, Haobo Zuo +2
Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the…
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning
Ke Guo, Wei Jing, Lingping Gao +3
A realistic long-term microscopic traffic simulator is necessary for understanding how microscopic changes affect traffic patterns at a larger scale. Traditional simulators that mo…
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang +7
During the diagnostic process, clinicians leverage multimodal information, such as chief complaints, medical images, and laboratory-test results. Deep-learning models for aiding di…
: A Virtual Moderator for Market Research Surveys
Josh Seltzer, Jiahua Pan, Kathy Cheng +4
Market research surveys are a powerful methodology for understanding consumer perspectives at scale, but are limited by depth of understanding and insights. A virtual moderator can…
Target-free Extrinsic Calibration of Event-LiDAR Dyad using Edge Correspondences
Wanli Xing, Shijie Lin, Lei Yang +1
Calibrating the extrinsic parameters of sensory devices is crucial for fusing multi-modal data. Recently, event cameras have emerged as a promising type of neuromorphic sensors, wi…
CCIL: Context-conditioned imitation learning for urban driving
Ke Guo, Wei Jing, Junbo Chen +1
Imitation learning holds great promise for addressing the complex task of autonomous urban driving, as experienced human drivers can navigate highly challenging scenarios with ease…
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
Julian McGinnis, Suprosanna Shit, Hongwei Bran Li +9
Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to…
Tight Collision Probability for UAV Motion Planning in Uncertain Environment
Tianyu Liu, Fu Zhang, Fei Gao +1
Operating unmanned aerial vehicles (UAVs) in complex environments that feature dynamic obstacles and external disturbances poses significant challenges, primarily due to the inhere…
Mixed Traffic Control and Coordination from Pixels
Michael Villarreal, Bibek Poudel, Jia Pan +1
Traffic congestion is a persistent problem in our society. Previous methods for traffic control have proven futile in alleviating current congestion levels leading researchers to e…
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks
Shi Zong, Josh Seltzer, Jiahua +3
Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for pro…
Extracting the Quantum Geometric Tensor of an Optical Raman Lattice by Bloch State Tomography
Chang-Rui Yi, Jinlong Yu, Huan Yuan +6
In Hilbert space, the geometry of the quantum state is identified by the quantum geometric tensor (QGT), whose imaginary part is the Berry curvature and real part is the quantum me…
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Dawei Wang, Weizi Li, Lei Zhu +1
Intersections are essential road infrastructures for traffic in modern metropolises. However, they can also be the bottleneck of traffic flows as a result of traffic incidents or t…
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Pengcheng Li, Genshun Wan, Fenglin Ding +4
Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data. Based on a well-designed self-supervised learning…