Search Results for author:
Found 11 papers, 2 papers with code
Causal clustering: design of cluster experiments under network interference
This paper studies the design of cluster experiments to estimate the global treatment effect in the presence of network spillovers.
Real Face Foundation Representation Learning for Generalized Deepfake Detection
In this study, we propose Real Face Foundation Representation Learning (RFFR), which aims to learn a general representation from large-scale real face datasets and detect potential artifacts outside the distribution of RFFR.
Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
The conflict between stiffness and toughness is a fundamental problem in engineering materials design.
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
Yet, current distributed RL systems tie the definition of RL algorithms to their distributed execution: they hard-code particular distribution strategies and only accelerate specific parts of the computation (e. g. policy network updates) on GPU workers.
A photonic chip-based machine learning approach for the prediction of molecular properties
Machine learning methods have revolutionized the discovery process of new molecules and materials.
Pre-training with Meta Learning for Chinese Word Segmentation
Recent researches show that pre-trained models (PTMs) are beneficial to Chinese Word Segmentation (CWS).
Unified Multi-Criteria Chinese Word Segmentation with BERT
Besides, the pre-trained BERT language model has been also introduced into the MCCWS task in a multi-task learning framework.
nsCouette -- A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow
We present nsCouette, a highly scalable software tool to solve the Navier-Stokes equations for incompressible fluid flow between differentially heated and independently rotating, concentric cylinders.
Fluid Dynamics Solar and Stellar Astrophysics Chaotic Dynamics Atmospheric and Oceanic Physics
3D Reconstruction from Full-view Fisheye Camera
In this report, we proposed a 3D reconstruction method for the full-view fisheye camera.
Pose Estimation Based on 3D Models
In this paper, we proposed a pose estimation system based on rendered image training set, which predicts the pose of objects in real image, with knowledge of object category and tight bounding box.
A Hybrid MPI-OpenMP Parallel Implementation for pseudospectral simulations with application to Taylor-Couette Flow
The Navier-Stokes equations are discretized in cylindrical coordinates with the spectral Fourier-Galerkin method in the axial and azimuthal directions, and high-order finite differences in the radial direction.
Computational Physics Instrumentation and Methods for Astrophysics
