Search Results for author:
Found 14 papers, 3 papers with code
Factor Modeling for Advertisement Targeting
We adapt a probabilistic latent variable model, namely GaP (Gamma-Poisson), to ad targeting in the contexts of sponsored search (SS) and behaviorally targeted (BT) display advertising.
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment
Both are not suitable for the online localization of an autonomous vehicle in an outdoor driving environment.
CircleNet: Anchor-free Detection with Circle Representation
In this work, we propose CircleNet, a simple anchor-free detection method with circle representation for detection of the ball-shaped glomerulus.
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
We develop a novel learning scheme named Self-Prediction for 3D instance and semantic segmentation of point clouds.
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis
Multi-object tracking (MOT) in computer vision and cell tracking in biomedical image analysis are two similar research fields, whose common aim is to achieve instance level object detection/segmentation and associate such objects across different video frames.
Shape Self-Correction for Unsupervised Point Cloud Understanding
Then the destroyed shape and the normal shape are sent into a point cloud network to get representations, which are employed to segment points that belong to distorted parts and further reconstruct them to restore the shape to normal.
FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis
At present, the main problem of existing research works on Android malware family classification lies in that the extracted features are inadequate to represent the common behavior characteristics of the malware in malicious families, and leveraging a single classifier or a static ensemble classifier is restricted to further improve the accuracy of classification.
Malware Detection
Cryptography and Security
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks
We also show the scalability and interpretability of the model by sharing the same decoder with more than one encoder used for different setups of the photoinjector, and propose a pragmatic way to model a facility with various diagnostics and working points.
Interplay between charge order and superconductivity in the kagome metal KV$_3$Sb$_5$
Beyond $p\approx10$ GPa, a second superconducting dome emerges with maximum $T_{\rm c}\approx1. 0$ K at $p_{\rm c2}\approx22$ GPa, which becomes fully suppressed at $p\approx28$ GPa.
Superconductivity
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit
Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable.
Editable Image Geometric Abstraction via Neural Primitive Assembly
This work explores a novel image geometric abstraction paradigm based on assembly out of a pool of pre-defined simple parametric primitives (i. e., triangle, rectangle, circle and semicircle), facilitating controllable shape editing in images.
Inferring Fluid Dynamics via Inverse Rendering
Humans have a strong intuitive understanding of physical processes such as fluid falling by just a glimpse of such a scene picture, i. e., quickly derived from our immersive visual experiences in memory.
TigerBot: An Open Multilingual Multitask LLM
We release and introduce the TigerBot family of large language models (LLMs), consisting of base and chat models, sized from 7, 13, 70 and 180 billion parameters.
SoftTiger: A Clinical Foundation Model for Healthcare Workflows
We introduce SoftTiger, a clinical large language model (CLaM) designed as a foundation model for healthcare workflows.
