activity
20152023
most citedThe SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data

849 citations · 1.7k across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2023★ 15 cited

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Yutong Xia, Yuxuan Liang, Haomin Wen +4

Spatio-Temporal Graph (STG) forecasting is a fundamental task in many real-world applications. Spatio-Temporal Graph Neural Networks have emerged as the most popular method for STG…

cs.AI2023★ 5 cited

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects

Haomin Wen, Youfang Lin, Lixia Wu +10

Instant delivery services, such as food delivery and package delivery, have achieved explosive growth in recent years by providing customers with daily-life convenience. An emergin…

cs.CV2023★ 30 cited

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials

Wenmiao Hu, Yichen Zhang, Yuxuan Liang +6

Street-view imagery provides us with novel experiences to explore different places remotely. Carefully calibrated street-view images (e.g. Google Street View) can be used for diffe…

q-bio.TO2023

Deep learning radiomics for assessment of gastroesophageal varices in people with compensated advanced chronic liver disease

Lan Wang, Ruiling He, Lili Zhao +44

Objective: Bleeding from gastroesophageal varices (GEV) is a medical emergency associated with high mortality. We aim to construct an artificial intelligence-based model of two-dim…

cs.DB2023★ 4 cited

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry

Lixia Wu, Haomin Wen, Haoyuan Hu +10

Real-world last-mile delivery datasets are crucial for research in logistics, supply chain management, and spatio-temporal data mining. Despite a plethora of algorithms developed t…

cs.LG2023★ 18 cited

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Kexin Zhang, Qingsong Wen, Chaoli Zhang +8

Self-supervised learning (SSL) has recently achieved impressive performance on various time series tasks. The most prominent advantage of SSL is that it reduces the dependence on l…

physics.optics2022

Transition from multiphoton to tunneling ionization in the process of high harmonic generation in solids

Shuai Wang, Xinkui He, Yueying Liang +3

High harmonic generation in solids is becoming an important method for strong field solid state physics research. The power scale relationship between high harmonics and the drivin…

cs.RO2022★ 101 cited

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM

Ling Gao, Yuxuan Liang, Jiaqi Yang +4

Event cameras have recently gained in popularity as they hold strong potential to complement regular cameras in situations of high dynamics or challenging illumination. An importan…

cs.LG2021★ 7 cited

Phase function estimation from a diffuse optical image via deep learning

Yuxuan Liang, Chuang Niu, Chen Wei +3

The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted with an analytic function with associated parameters. In r…

cond-mat.mtrl-sci2021

Small polarom formation by electron-electron interaction

Yunfan Liang, Min Cai, Lang Peng +4

In a solid, electrons can be scattered both by phonons and other electrons. First proposed by Landau, scattering by phonons can lead to a composite entity called a polaron, in whic…

quant-ph2021

Exact solution of the two-axis two-spin Hamiltonian

Feng Pan, Yao-Zhong Zhang, Xiaohan Qi +3

Bethe ansatz solution of the two-axis two-spin Hamiltonian is derived based on the Jordan-Schwinger boson realization of the SU(2) algebra. It is shown that the solution of the Bet…

cs.HC2019★ 1 cited

Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders

Dakila Ledesma, Yu Liang, Dalei Wu

This paper proposed a hierarchical visible autoencoder in the adaptive phantom limbs generation according to the kinetic behavior of functional body-parts, which are measured by he…

astro-ph.GA2017★ 681 cited

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

Bela Abolfathi, D. S. Aguado, Gabriela Aguilar +344

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourtee…

astro-ph.CO2015★ 849 cited

The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data

Kyle S. Dawson, Jean-Paul Kneib, Will J. Percival +143

The Extended Baryon Oscillation Spectroscopic Survey (eBOSS) will conduct novel cosmological observations using the BOSS spectrograph at Apache Point Observatory. Observations will…