Bin Li

Modeling the evolution of development topics using Dynamic Topic Models

2015

As the development of a software project progresses, its complexity grows accordingly, making it difficult to understand and maintain. During software maintenance and evolution, software developers and stakeholders constantly shift their focus between different tasks …

Chinese-English Translation of Organization Names Based on a Translation Model and Web Mining

2015 · Advanced science and technology letters

Organization name (ON) translation is the most complex among all the Named entities (NEs). A novel system for translating ONs from Chinese to English, with a translation model and web resources is proposed. Firstly, a …

A Fast Level Set Model for Intensity Inhomogeneity Correction in eHealth Analysis System

2015

Wound area changes over multiple weeks are highly predictive of the wound healing process. Big data processing is considered as one of the main solutions for it. We usually analysis the images of wound bed. …

Application of expert system in mine power supply network fault diagnosis

2017

The expert system is applied to the fault diagnosis of mine power supply network, and a way to realize the fault diagnosis expert system of mine power supply network is put forward. In this paper, …

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

2020 · arXiv (Cornell University)

The Dirichlet Belief Network~(DirBN) has been recently proposed as a promising approach in learning interpretable deep latent representations for objects. In this work, we leverage its interpretable modelling architecture and propose a deep dynamic probabilistic …

Dynamo: Facebook's Data Center-Wide Power Management System

2016

Data center power is a scarce resource that often goes underutilized due to conservative planning. This is because the penalty for overloading the data center power delivery hierarchy and tripping a circuit breaker is very …

Automatic Unseen Class Discovery Algorithm Based on Clustering Analysis

2022 · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Although deep learning has achieved great success in automatic target recognition, the model needs a large number of labeled samples for training. In real life, it is a time-consuming and laborious work to label unlabeled …

QAIC: Quality-assured image crowdsourcing via blockchain and deep learning

2023

Recently, image crowdsourcing, a new trading mode, has been proposed to bridge the gap between the excess photos generated by intelligent devices and the great demand for images. However, traditional crowdsourcing methods often rely on …

Flexible and Highly-Efficient Feature Perception for Molecular Traits Prediction via Self-interactive Deep Learning

2023 · medRxiv

ABSTRACT Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task …

IOT and Blockchain: Transforming Demand Response in Smart Grids

2024

Blockchain Internet of Things (IoT) convergence in smart grids offers an innovative solution to improving demand response (DR) systems. This paper aims at analyzing interactive impacts of those technologies on grid efficiency, security, and transparency. …

Accurate and Scalable Graph Neural Networks via Message Invariance

2025 · arXiv (Cornell University)

Message passing-based graph neural networks (GNNs) have achieved great success in many real-world applications. For a sampled mini-batch of target nodes, the message passing process is divided into two parts: message passing between nodes within …