Yian Wang

ORCID: 0000-0003-1349-0611
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About
Contact & Profiles
Research Areas
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Cryospheric studies and observations
  • Landslides and related hazards
  • Robot Manipulation and Learning
  • Planetary Science and Exploration
  • Laser-induced spectroscopy and plasma
  • Soil Moisture and Remote Sensing
  • Multimodal Machine Learning Applications
  • Geochemistry and Geologic Mapping
  • Human Pose and Action Recognition
  • Analytical chemistry methods development
  • Structural Health Monitoring Techniques
  • Astro and Planetary Science
  • Advanced Graph Neural Networks
  • Cultural Heritage Materials Analysis
  • Oil and Gas Production Techniques
  • Geophysics and Gravity Measurements
  • Robotics and Sensor-Based Localization
  • Heat Transfer and Optimization
  • Geothermal Energy Systems and Applications
  • Marine Biology and Environmental Chemistry
  • Text and Document Classification Technologies
  • Reservoir Engineering and Simulation Methods
  • Prosthetics and Rehabilitation Robotics
  • Image Enhancement Techniques

University of Chinese Academy of Sciences
2023-2024

University of Massachusetts Amherst
2024

Northeast Petroleum University
2023

Tianjin University of Commerce
2023

Wuhan University
2020-2023

Anhui University
2023

Beijing University of Civil Engineering and Architecture
2023

University of Illinois Urbana-Champaign
2022

Central South University
2022

Bohai University
2020-2021

Abstract Epstein-Barr virus (EBV) is reportedly the first identified human tumor virus, and closely related to occurrence development of nasopharyngeal carcinoma (NPC), gastric (GC), several lymphomas. PD-L1 expression elevated in EBV-positive NPC GC tissues; however, specific mechanisms underlying EBV-dependent promotion induce immune escape warrant clarification. EBV encodes 44 mature miRNAs. In this study, we find that EBV-miR-BART11 EBV-miR-BART17-3p upregulate EBV-associated GC....

10.1038/s41467-022-28479-2 article EN cc-by Nature Communications 2022-02-14

There is an urgent demand for continuous detection and monitoring of active slopes in wide reservoir areas, as impoundments may activate unstable slopes. Although satellite time-series InSAR has been widely used mapping landslides, the tedious artificial interpretation results limits efficiency reliability landslides detection. We propose a set procedures deformation automatic landslide identification areas. The local time window estimation can extract nonlinear series signal, thus enhancing...

10.1016/j.jag.2023.103224 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2023-02-12

With the combined effects of climate change and anthropogenic disturbance, landslide hazards have progressively increased emerged as one most significant natural threats to socio-economic safety human life. Synthetic aperture radar interferometry (InSAR) can measure subtle ground displacement thus has immense potential for detecting active landslides. However, operational application InSAR detection inventory update in wide-area is still hindered by high labor time costs visual...

10.1016/j.jag.2023.103516 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2023-10-06

As the longest water transfer route in world, South-North Water Diversion Project (SNWDP) plays a key role mitigating serious shortage problem arid north China, and thus routine stability monitoring of this mega infrastructure becomes critical issue to ensure continuous fresh supply. Compared with traditional geodetic tools such as leveling GNSS that can only measure deformation at discrete points along canal, modern satellite Synthetic Aperture Radar Interferometry (InSAR) capture subtle...

10.1016/j.jag.2021.102324 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2021-04-01

Displacement monitoring of large bridges is an important source information concerning their health state. In this paper, a procedure based on satellite Persistent Scatterer Interferometry (PSI) data presented to assess bridge health. The proposed approach periodically assesses the displacements in order detect abnormal at any position bridge. To demonstrate its performances, displacement characteristics two bridges, Nanjing-Dashengguan High-speed Railway Bridge (NDHRB, 1272 m long) and...

10.3390/rs10111714 article EN cc-by Remote Sensing 2018-10-30

10.1109/cvpr52733.2024.02494 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

With the continuous expansion of high-speed railway network in China, long-span bridges carrying multiple tracks demand reliable and fast testing procedures techniques. Bridge dynamic behavior analysis is a critical process ensuring safe operation structures. In this study, we present some experimental results vibration monitoring four-track bridge with metro–track on each side: Nanjing–Dashengguan (NDHRB). The were obtained using terrestrial microwave radar interferometer named IBIS-S....

10.3390/rs12162594 article EN cc-by Remote Sensing 2020-08-12

Perceiving and manipulating 3D articulated objects (e.g., cabinets, doors) in human environments is an important yet challenging task for future home-assistant robots. The space of exceptionally rich their myriad semantic categories, diverse shape geometry, complicated part functionality. Previous works mostly abstract kinematic structure with estimated joint parameters poses as the visual representations objects. In this paper, we propose object-centric actionable priors a novel...

10.48550/arxiv.2106.14440 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Clean and low-carbon heating methods are vigorously promoted in China under a carbon peak neutrality background. The application of air-source heat pump system (ASHP) technology has become research hotspot as clean method. This paper investigated the performance an ASHP applied Hotan, Xinjiang, China, categorized warm-temperate extreme-arid-desert climate (WT-EADC) zone. actual with radiant floor (ASHP-RF) was tested experimentally using WT-EADC low-temperature high-humidity (LTHHC), typical...

10.1016/j.csite.2023.102723 article EN cc-by-nc-nd Case Studies in Thermal Engineering 2023-01-11

We present RoboGen, a generative robotic agent that automatically learns diverse skills at scale via simulation. RoboGen leverages the latest advancements in foundation and models. Instead of directly using or adapting these models to produce policies low-level actions, we advocate for scheme, which uses generate diversified tasks, scenes, training supervisions, thereby scaling up skill learning with minimal human supervision. Our approach equips self-guided propose-generate-learn cycle:...

10.48550/arxiv.2311.01455 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Despeckling is an essential task in polarimetric synthetic aperture radar (PolSAR) image processing. Most existing filters developed for multi-temporal SAR images make use of either real or complex information. Real information refers to amplitude intensity values, whereas covariance matrix (CCM) derived from interferometric (InSAR) PolSAR data. The InSAR CCM formed using the same channel but acquired at different dates, and contains simultaneously channels. Therefore, these despeckling...

10.1109/jstars.2023.3266823 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

The stream sediment (SS) records evolution information of the water system structure and sedimentary environment in specific regions during different geological periods, which is great significance for studying ancient planetary law changes. Based on SS geographical environments Earth, remote laser-induced breakdown spectroscopy (remote-LIBS) technology combined with multidimensional scaling-back propagation neural network (MDS-BPNN) algorithm was used to conduct an in-depth analysis...

10.3390/chemosensors11070377 article EN cc-by Chemosensors 2023-07-05

Atmospheric propagation delay correction is the key to improving accuracy of deformation measurement satellite interferometric synthetic aperture radar (InSAR). The empirical phase-elevation models and external data-based present uneven performances atmospheric for InSAR monitoring. In this study, based on our previous fusion delays predicted by multiple weather (FDWM), we propose a new approach adaptive multi-source tropospheric (AFMTD) estimates derived from over wide areas, i.e., ERA5,...

10.3389/fenvs.2022.859363 article EN cc-by Frontiers in Environmental Science 2022-03-10
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