237 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing Institute of TechnologyCN7 papers
- Guangdong Polytechnic of Science and TechnologyCN6 papers
- University of MacauMO6 papers
- Sun Yat-sen UniversityCN5 papers
- Beijing Normal UniversityCN4 papers
- Chinese Academy of SciencesCN4 papers
- Chinese University of Hong KongHK3 papers
- Institute of High Energy PhysicsCN3 papers
- Jilin UniversityCN3 papers
- Nanyang Technological UniversitySG3 papers
- Southwest Jiaotong UniversityCN3 papers
- Tsinghua UniversityCN3 papers
7 papers · 1 filter
Volume gap between the minimal submanifold and the unit sphere
Weiran Ding, Jianquan Ge, Fagui Li
In this paper, following the method of Cheng-Li-Yau, we first modify the coefficients in the constant to improve the volume gap. Further, we also enlarge our gap by applying…
Pinching rigidity of minimal surfaces in spheres
Weiran Ding, Jianquan Ge, Fagui Li
In this paper we give a pinching theorem of the Simon conjecture in the case s=3 and also give a new proof of the cases s=1 and s=2 by some Simons-type integral inequalities.
Humidity Sensing Properties of Different Atomic Layers of Graphene on SiO2/Si Substrate
Qiang Gao, Hongliang Ma, Chang He +4
Graphene has the great potential to be used for humidity sensing due to ultrahigh surface area and conductivity. However, the impact of different atomic layers of graphene on SiO2/…
Ultrahigh-Energy Gamma-ray Emission Associated with Black Hole-Jet Systems
The LHAASO Collaboration, Zhen Cao, Felix Aharonian +315
Black holes (BH), one of the most intriguing objects in the universe, can manifest themselves through electromagnetic radiation initiated by the accretion flow. Some stellar-mass B…
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
Qi Dong, Rubing Huang, Chenhui Cui +4
Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external fact…
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis
Zeqin Liao, Yuhong Nan, Henglong Liang +4
With the increasing popularity of blockchain, different blockchain platforms coexist in the ecosystem (e.g., Ethereum, BNB, EOSIO, etc.), which prompts the high demand for cross-ch…