output
20122026
most citedLinking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

490 citations

75 papers

cs.CL2026

Unlocking the Power of Large Language Models for Multi-table Entity Matching

Yingkai Tang, Taoyu Su, Wenyuan Zhang +2

Multi-table entity matching (MEM) addresses the limitations of dual-table approaches by enabling simultaneous identification of equivalent entities across multiple data sources wit…

cond-mat.supr-con2026★ 1 cited

Superconductivity of 30.4 K and its Reemergence under Pressure in Fe1.11Se Synthesized via Ion-exchange and De-intercalation Reaction

Mingzhang Yang, Yuxin Ma, Qi Li +11

Binary stoichiometry FeSe (s-FeSe) is a well-known parent of high-temperature unconventional superconductors owing to its charge-neutral layer, highly tunable structure and electro…

hep-ex2025

Baryon-antibaryon photoproduction cross sections off the proton

GlueX Collaboration, F. Afzal, M. Albrecht +137

The GlueX experiment at Jefferson Lab has observed and, for the first time, and photoproduction from a proton target at photon energies up to 11.6 GeV.…

cs.CY2024★ 18 cited

Where postdoctoral journeys lead

Yueran Duan, Shahan Ali Memon, Bedoor AlShebli +3

Postdoctoral training is a career stage often described as a demanding and anxiety-laden time when many promising PhDs see their academic dreams slip away due to circumstances beyo…

cs.CV2024★ 5 cited

Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior

Chuanji Shi, Yingying Zhang, Jiaotuan Wang +2

Urban area-of-interest (AOI) refers to an integrated urban functional zone with defined polygonal boundaries. The rapid development of urban commerce has led to increasing demands…

cs.NI2024★ 25 cited

Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond

Peng Zhang, Yong Xiao, Yingyu Li +3

A global effort has been initiated to reduce the worldwide greenhouse gas (GHG) emissions, primarily carbon emissions, by half by 2030 and reach net-zero by 2050. The development o…

physics.geo-ph2023★ 7 cited

VIP -- Variational Inversion Package with example implementations of Bayesian tomographic imaging

Xin Zhang, Andrew Curtis

Bayesian inference has become an important tool to solve inverse problems and to quantify uncertainties in their solutions. Variational inference is a method that provides probabil…

astro-ph.EP2023★ 2 cited

The stability of unevenly spaced planetary systems

Sheng Yang, Liangyu Wu, Zekai Zheng +4

Studying the orbital stability of multi-planet systems is essential to understand planet formation, estimate the stable time of an observed planetary system, and advance population…

cs.LG2023★ 1 cited

Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber

Rui Hu, Yahan Tu, Jitao Sang

Neural networks often learn spurious correlations when exposed to biased training data, leading to poor performance on out-of-distribution data. A biased dataset can be divided, ac…

cs.RO2023★ 49 cited

Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors

Zixi Chen, Shixin Zhang, Shan Luo +2

Simulation is widely applied in robotics research to save time and resources. There have been several works to simulate optical tactile sensors that leverage either a smoothing met…

quant-ph2022★ 18 cited

Observation of size-dependent boundary effects in non-Hermitian electric circuits

Luhong Su, Cui-Xian Guo, Yongliang Wang +5

The non-Hermitian systems with the non-Hermitian skin effect (NHSE) are very sensitive to the imposed boundary conditions and lattice size, which leads to size-dependent non-Hermit…

astro-ph.SR2022★ 14 cited

Cross-loop propagation of a quasi-periodic extreme-ultraviolet wave train triggered by successive stretching of magnetic field structures during a solar eruption

Zheng Sun, Hui Tian, P. F. Chen +4

Solar extreme-ultraviolet (EUV) waves generally refer to large-scale disturbances propagating outward from sites of solar eruptions in EUV imaging observations. Using the recent ob…

physics.chem-ph2022

Enhanced Hydrogen Evolution Catalysis of Pentlandite due to the Increases in Coordination Number and Sulfur Vacancy during Cubic-Hexagonal Phase Transition

Yuegao Liu, Chao Cai, Shengcai Zhu +9

The search for new phases is an important direction in materials science. The phase transition of sulfides results in significant changes in catalytic performance, such as MoS2 and…

astro-ph.SR2022★ 14 cited

First report of a solar energetic particle event observed by China's Tianwen-1 mission in transit to Mars

Shuai Fu, Zheyi Ding, Yongjie Zhang +15

Solar energetic particles (SEPs) associated with flares and/or coronal mass ejection (CME)-driven shocks can impose acute radiation hazards to space explorations. To measure energe…

cond-mat.mtrl-sci2022★ 31 cited

Exfoliation of 2D van der Waals crystals in ultrahigh vacuum for interface engineering

Zhenyu Sun, Xu Han, Zhihao Cai +11

Two-dimensional (2D) materials and their heterostructures have been intensively studied in recent years due to their potential applications in electronic, optoelectronic, and spint…

cs.CE2022

Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation

Yi Lin, Siyuan Liu, Lei Yan +3

Directional area scattering factor (DASF) is a critical canopy structural parameter for vegetation monitoring. It provides an efficient tool for decoupling of canopy structure and…

cs.CE2022★ 60 cited

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)

Yue Lu, Gang Mei, Francesco Piccialli

Soil consolidation is closely related to seepage, stability, and settlement of geotechnical buildings and foundations, and directly affects the use and safety of superstructures. N…

cs.CV2022★ 41 cited

Determination of building flood risk maps from LiDAR mobile mapping data

Yu Feng, Qing Xiao, Claus Brenner +4

With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide ear…

eess.SP2021

The Gardner problem and cycle slipping bifurcation for type 2 phase-locked loops

Nikolay V. Kuznetsov, Dmitry G. Arseniev, Mikhail V. Blagov +4

In the present work, a second-order type 2 PLL with a piecewise-linear phase detector characteristic is analysed. An exact solution to the Gardner problem on the lock-in range is o…

cs.CV2021★ 230 cited

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1

Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e.g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing re…

cs.LG2021★ 4 cited

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving

Jingzhi Tu, Gang Mei, Francesco Piccialli

Autonomous driving is the key technology of intelligent logistics in Industrial Internet of Things (IIoT). In autonomous driving, the appearance of incomplete point clouds losing g…

cs.CV2021★ 21 cited

Deep Transfer Learning for Identifications of Slope Surface Cracks

Yuting Yang, Gang Mei

Geohazards such as landslides have caused great losses to the safety of people's lives and property, which is often accompanied with surface cracks. If such surface cracks could be…

cs.CV2021★ 153 cited

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

Lei Ding, Dong Lin, Shaofu Lin +5

Long-range contextual information is crucial for the semantic segmentation of High-Resolution (HR) Remote Sensing Images (RSIs). However, image cropping operations, commonly used f…

cs.LG2021★ 7 cited

Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction

Zhengjing Ma, Gang Mei, Salvatore Cuomo +1

Heterogeneous data are commonly adopted as the inputs for some models that predict the future trends of some observations. Existing predictive models typically ignore the inconsist…