34 citations
- University of Science and Technology of ChinaCN4 papers
- Yunnan ObservatoriesCN3 papers
- California Institute of TechnologyUS2 papers
- Chinese Academy of SciencesCN2 papers
- Chittagong University of Engineering & TechnologyBD2 papers
- Institut de Mécanique et d'Ingénierie de BordeauxFR2 papers
- Aix-Marseille UniversitéFR1 paper
- Alibaba Group (United States)US1 paper
- American International University-BangladeshBD1 paper
- Ames Research CenterUS1 paper
- Berkeley CollegeUS1 paper
- Carnegie Mellon UniversityUS1 paper
27 papers
Propagation phenomena in KPP-bistable periodic patchy environments
Quentin Griette, François Hamel, Mingmin Zhang +1
This paper first investigates the propagation dynamics of solutions to the Cauchy problem for a one-dimensional reaction-diffusion equation in a spatially periodic environment cons…
Discrete hypocoercive estimates for discontinuous Galerkin methods: application to the Vlasov-Poisson-Fokker-Planck system
Yi Cai, Alain Blaustein, Tao Xiong +1
We develop and analyze a class of structure-preserving discontinuous Galerkin schemes for the nonlinear Vlasov-Poisson-Fokker-Planck model, reformulated as a hyperbolic system thro…
Which active galaxies might be neutrino emitters?
Shuying Zhou, Mouyuan Sun, Guobin Mou +4
The IceCube Neutrino Observatory has identified several individual neutrino emitters associated with supermassive black hole accretion phenomena, including blazars, tidal disruptio…
How Long Will the Quasar UV/Optical Flickering Be Damped? II. the Observational Test
Guowei Ren, Shuying Zhou, Mouyuan Sun +1
The characteristic timescale at which the variability of active galactic nuclei (AGNs) turns from red noise to white noise can probe the accretion physics around supermassive black…
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
Jianyu Wei, Shijie Cao, Ting Cao +4
The deployment of Large Language Models (LLMs) on edge devices is increasingly important to enhance on-device intelligence. Weight quantization is crucial for reducing the memory f…
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
Tianjing Zeng, Junwei Lan, Jiahong Ma +7
Cardinality estimation (CardEst) is essential for optimizing query execution plans. Recent ML-based CardEst methods achieve high accuracy but face deployment challenges due to high…