Bowen Liu | DeepAI

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∙ 04/05/2023

MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding

Learning-based video compression has been extensively studied over the p...

0 Bowen Liu, et al. ∙

∙ 04/02/2022

A Generalized Family of Exponentiated Composite Distributions

In this paper, we propose a new class of distributions by exponentiating...

0 Bowen Liu, et al. ∙

∙ 03/08/2022

The application of accumulation tests in Peaks-Over-Threshold modeling with Norwegian Fire insurance Data

Modeling excess remains to be an important topic in insurance data model...

0 Bowen Liu, et al. ∙

∙ 08/14/2021

Analyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model

Exponentiated models have been widely used in modeling various types of ...

0 Bowen Liu, et al. ∙

∙ 08/11/2021

Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles

Uncertainties in Deep Neural Network (DNN)-based perception and vehicle'...

10 Liuhui Ding, et al. ∙

∙ 04/28/2021

Accountable Fine-grained Blockchain Rewriting in the Permissionless Setting

Blockchain rewriting with fine-grained access control allows a user to c...

0 Yangguang Tian, et al. ∙

∙ 03/06/2021

Simultaneously Localize, Segment and Rank the Camouflaged Objects

Camouflage is a key defence mechanism across species that is critical to...

0 Yunqiu Lyu, et al. ∙

∙ 05/09/2020

A First Look into DeFi Oracles

Recently emerging Decentralized Finance (DeFi) takes the promise of cryp...

0 Bowen Liu, et al. ∙

∙ 05/02/2020

Open Graph Benchmark: Datasets for Machine Learning on Graphs

We present the Open Graph Benchmark (OGB), a diverse set of challenging ...

64 Weihua Hu, et al. ∙

∙ 03/17/2020

Weakly-Supervised Salient Object Detection via Scribble Annotations

Compared with laborious pixel-wise dense labeling, it is much easier to ...

5 Jing Zhang, et al. ∙

∙ 03/17/2020

SMACS: Smart Contract Access Control Service

Although blockchain-based smart contracts promise a “trustless” way of e...

0 Bowen Liu, et al. ∙

∙ 03/13/2020

Fail-safe Watchtowers and Short-lived Assertions for Payment Channels

The recent development of payment channels and their extensions (e.g., s...

1 Bowen Liu, et al. ∙

∙ 01/10/2020

Probabilistic K-means Clustering via Nonlinear Programming

K-means is a classical clustering algorithm with wide applications. Howe...

0 Yujian Li, et al. ∙

∙ 05/29/2019

Pre-training Graph Neural Networks

Many applications of machine learning in science and medicine, including...

24 Weihua Hu, et al. ∙

∙ 06/07/2018

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Generating novel graph structures that optimize given objectives while o...

0 Jiaxuan You, et al. ∙

∙ 06/06/2017

Retrosynthetic reaction prediction using neural sequence-to-sequence models

We describe a fully data driven model that learns to perform a retrosynt...

0 Bowen Liu, et al. ∙

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