b'Lu Liu'

research

∙ 07/05/2023

MRecGen: Multimodal Appropriate Reaction Generator

Verbal and non-verbal human reaction generation is a challenging task, a...

0 Jiaqi Xu, et al. ∙

research

∙ 05/24/2023

Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation

Generating facial reactions in a human-human dyadic interaction is compl...

0 Tong Xu, et al. ∙

research

∙ 05/23/2023

Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors

ChatGPT has stimulated the research boom in the field of large language ...

0 Ridong Han, et al. ∙

research

∙ 02/21/2023

Bokeh Rendering Based on Adaptive Depth Calibration Network

Bokeh rendering is a popular and effective technique used in photography...

0 Lu Liu, et al. ∙

research

∙ 12/23/2022

Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation

Front-running attacks have been a major concern on the blockchain. Attac...

0 Wuqi Zhang, et al. ∙

research

∙ 12/20/2022

Document-level Relation Extraction with Relation Correlations

Document-level relation extraction faces two overlooked challenges: long...

0 Ridong Han, et al. ∙

research

∙ 09/21/2022

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Federated Learning (FL) is a machine learning paradigm that allows decen...

0 Yue Tan, et al. ∙

research

∙ 08/16/2022

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories

As the number of devices connected to the Internet of Things (IoT) incre...

0 Jiayan Gu, et al. ∙

research

∙ 02/16/2022

See further upon the giants: Quantifying intellectual lineage in science

Newton's centuries-old wisdom of standing on the shoulders of giants rai...

0 Woo Seong Jo, et al. ∙

research

∙ 01/14/2022

Aspects of Muchnik's paradox in restricted betting

Muchnik's paradox says that enumerable betting strategies are not always...

0 George Barmpalias, et al. ∙

research

∙ 11/05/2021

Recognizing Vector Graphics without Rasterization

In this paper, we consider a different data format for images: vector gr...

11 Xinyang Jiang, et al. ∙

research

∙ 10/07/2021

Cloning one's voice using very limited data in the wild

With the increasing popularity of speech synthesis products, the industr...

0 Dongyang Dai, et al. ∙

research

∙ 08/30/2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision

The energy consumption of deep learning models is increasing at a breath...

6 Bo Li, et al. ∙

research

∙ 08/24/2021

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts

Smart contracts are programs running on blockchain to execute transactio...

0 Lu Liu, et al. ∙

research

∙ 06/07/2021

Towards robust and domain agnostic reinforcement learning competitions

Reinforcement learning competitions have formed the basis for standard r...

19 William Hebgen Guss, et al. ∙

research

∙ 05/18/2021

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception

Distantly supervised relation extraction has drawn significant attention...

0 Ridong Han, et al. ∙

research

∙ 05/07/2021

Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior

Human-Object Interaction (HOI) detection aims to detect visual relations...

0 Lu Liu, et al. ∙

research

∙ 05/01/2021

FedProto: Federated Prototype Learning over Heterogeneous Devices

The heterogeneity across devices usually hinders the optimization conver...

0 Yue Tan, et al. ∙

research

∙ 02/03/2021

Isometric Propagation Network for Generalized Zero-shot Learning

Zero-shot learning (ZSL) aims to classify images of an unseen class only...

6 Lu Liu, et al. ∙

research

∙ 01/16/2021

Free Lunch for Few-shot Learning: Distribution Calibration

Learning from a limited number of samples is challenging since the learn...

0 Shuo Yang, et al. ∙

research

∙ 11/30/2020

From Technology to Society: An Overview of Blockchain-based DAO

Decentralized Autonomous Organization (DAO) is believed to play a signif...

0 Lu Liu, et al. ∙

research

∙ 09/24/2020

Attribute Propagation Network for Graph Zero-shot Learning

The goal of zero-shot learning (ZSL) is to train a model to classify sam...

10 Lu Liu, et al. ∙

research

∙ 09/10/2020

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference

One of the major challenges in coreference resolution is how to make use...

0 Lu Liu, et al. ∙

research

∙ 08/28/2020

NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size

Neural architecture search (NAS) has attracted a lot of attention and ha...

13 Xuanyi Dong, et al. ∙

research

∙ 06/28/2020

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

We study many-class few-shot (MCFS) problem in both supervised learning ...

5 Lu Liu, et al. ∙

research

∙ 06/21/2020

A Universal Representation Transformer Layer for Few-Shot Image Classification

Few-shot classification aims to recognize unseen classes when presented ...

0 Lu Liu, et al. ∙

research

∙ 06/03/2020

Interpretable Time-series Classification on Few-shot Samples

Recent few-shot learning works focus on training a model with prior meta...

29 Wensi Tang, et al. ∙

research

∙ 05/06/2020

Low-shot Object Detection via Classification Refinement

This work aims to address the problem of low-shot object detection, wher...

2 Yiting Li, et al. ∙

research

∙ 04/15/2020

Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework

Many large-scale knowledge graphs are now available and ready to provide...

0 Jiehang Zeng, et al. ∙

research

∙ 02/24/2020

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline

For time series classification task using 1D-CNN, the selection of kerne...

3 Wensi Tang, et al. ∙

research

∙ 02/10/2020

A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service

Business Intelligence (BI) has gained a new lease of life through Cloud ...

0 Hussain Al-Aqrabi, et al. ∙

research

∙ 10/08/2019

AutoML using Metadata Language Embeddings

As a human choosing a supervised learning algorithm, it is natural to be...

36 Iddo Drori, et al. ∙

research

∙ 09/11/2019

Learning to Propagate for Graph Meta-Learning

Meta-learning extracts the common knowledge acquired from learning diffe...

3 Lu Liu, et al. ∙

research

∙ 07/19/2019

New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning

With the development of artificial intelligence algorithms like deep lea...

0 Shuqiang Lu, et al. ∙

research

∙ 06/20/2019

Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets

Automatically extracted metadata from scholarly documents in PDF formats...

0 Athar Sefid, et al. ∙

research

∙ 05/10/2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

A variety of machine learning applications expect to achieve rapid learn...

6 Lu Liu, et al. ∙

research

∙ 01/23/2019

Cloud BI: Future of Business Intelligence in the Cloud

Cloud computing is gradually gaining popularity among businesses due to ...

0 Hussain Al-Aqrabi, et al. ∙

research

∙ 01/17/2019

Certainty-Driven Consistency Loss for Semi-supervised Learning

The recently proposed semi-supervised learning methods exploit consisten...

0 Yingting Li, et al. ∙

research

∙ 01/11/2019

From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation

We introduce a new task named Story Ending Generation (SEG), whic-h aims...

0 Yan Zhao, et al. ∙

research

∙ 12/25/2018

Energy Efficient Massive MIMO through Distributed Precoder Design

This paper presents an energy-efficient downlink precoding scheme with t...

0 Shuai Zhang, et al. ∙

research

∙ 12/11/2018

Loss Guided Activation for Action Recognition in Still Images

One significant problem of deep-learning based human action recognition ...

24 Lu Liu, et al. ∙

research

∙ 10/10/2017

Link Quality Aware Channel Allocation for Multichannel Body Sensor Networks

Body Sensor Network (BSN) is a typical Internet-of-Things (IoT) applicat...

0 Weifeng Gao, et al. ∙

research

∙ 10/24/2016

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization

We propose a new model based on the deconvolutional networks and SAX dis...

0 Zhiguang Wang, et al. ∙

Lu Liu

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