b'Ke Xu'

research

∙ 05/16/2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting

The probability prediction of multivariate time series is a notoriously ...

Shibo Feng, et al. ∙

research

∙ 04/24/2022

Adaptive Task Planning for Large-Scale Robotized Warehouses

Robotized warehouses are deployed to automatically distribute millions o...

Dingyuan Shi, et al. ∙

research

∙ 04/12/2022

CoupleFace: Relation Matters for Face Recognition Distillation

Knowledge distillation is an effective method to improve the performance...

Jiaheng Liu, et al. ∙

research

∙ 03/17/2022

Bi-directional Object-context Prioritization Learning for Saliency Ranking

The saliency ranking task is recently proposed to study the visual behav...

Xin Tian, et al. ∙

research

∙ 03/04/2022

Rethinking Efficient Lane Detection via Curve Modeling

This paper presents a novel parametric curve-based method for lane detec...

Zhengyang Feng, et al. ∙

research

∙ 01/13/2022

Interactive Data Analysis with Next-step Natural Language Query Recommendation

Natural language interfaces (NLIs) provide users with a convenient way t...

Xingbo Wang, et al. ∙

research

∙ 12/05/2021

Adaptive Channel Encoding for Point Cloud Analysis

Attention mechanism plays a more and more important role in point cloud ...

Guoquan Xu, et al. ∙

research

∙ 12/05/2021

Adaptive Channel Encoding Transformer for Point Cloud Analysis

Transformer plays an increasingly important role in various computer vis...

Guoquan Xu, et al. ∙

research

∙ 11/23/2021

Gait Identification under Surveillance Environment based on Human Skeleton

As an emerging biological identification technology, vision-based gait i...

Xingkai Zheng, et al. ∙

research

∙ 11/19/2021

Learning to Detect Instance-level Salient Objects Using Complementary Image Labels

Existing salient instance detection (SID) methods typically learn from p...

Xin Tian, et al. ∙

research

∙ 10/15/2021

Value Penalized Q-Learning for Recommender Systems

Scaling reinforcement learning (RL) to recommender systems (RS) is promi...

Chengqian Gao, et al. ∙

research

∙ 10/05/2021

TENT: Text Classification Based on ENcoding Tree Learning

Text classification is a primary task in natural language processing (NL...

Chong Zhang, et al. ∙

research

∙ 09/07/2021

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression

Recent studies on compression of pretrained language models (e.g., BERT)...

Canwen Xu, et al. ∙

research

∙ 09/05/2021

Structural Optimization Makes Graph Classification Simpler and Better

In deep neural networks, better results can often be obtained by increas...

Junran Wu, et al. ∙

research

∙ 08/20/2021

Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis

Convolutional neural network has made remarkable achievements in classif...

Guoquan Xu, et al. ∙

research

∙ 06/28/2021

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Machine learning (ML) based malicious traffic detection is an emerging s...

Chuanpu Fu, et al. ∙

research

∙ 06/25/2021

Learning to Sample Replacements for ELECTRA Pre-Training

ELECTRA pretrains a discriminator to detect replaced tokens, where the r...

Yaru Hao, et al. ∙

research

∙ 06/04/2021

Price graphs: Utilizing the structural information of financial time series for stock prediction

Great research efforts have been devoted to exploiting deep neural netwo...

Junran Wu, et al. ∙

research

∙ 06/03/2021

Exploring Memorization in Adversarial Training

It is well known that deep learning models have a propensity for fitting...

Yinpeng Dong, et al. ∙

research

∙ 04/21/2021

Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

This work focuses on the analysis that whether 3D face models can be lea...

Cho Ying Wu, et al. ∙

research

∙ 04/06/2021

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

Cant is important for understanding advertising, comedies and dog-whistl...

Canwen Xu, et al. ∙

research

∙ 01/02/2021

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting

In this paper, we generalize text infilling (e.g., masked language model...

Wangchunshu Zhou, et al. ∙

research

∙ 12/30/2020

Improving BERT with Syntax-aware Local Attention

Pre-trained Transformer-based neural language models, such as BERT, have...

Zhongli Li, et al. ∙

research

∙ 12/13/2020

Location-aware Single Image Reflection Removal

This paper proposes a novel location-aware deep learning-based single im...

Zheng Dong, et al. ∙

research

∙ 12/10/2020

DA-HGT: Domain Adaptive Heterogeneous Graph Transformer

Domain adaptation using graph networks is to learn label-discriminative ...

Tiancheng Huang, et al. ∙

research

∙ 11/27/2020

Robust Attacks on Deep Learning Face Recognition in the Physical World

Deep neural networks (DNNs) have been increasingly used in face recognit...

Meng Shen, et al. ∙

research

∙ 11/05/2020

Exact Phase Transitions of Model RB with Slower-Growing Domains

The second moment method has always been an effective tool to lower boun...

Jun Liu, et al. ∙

research

∙ 09/29/2020

Weakly-supervised Salient Instance Detection

Existing salient instance detection (SID) methods typically learn from p...

Xin Tian, et al. ∙

research

∙ 08/29/2020

Off-Path TCP Exploits of the Mixed IPID Assignment

In this paper, we uncover a new off-path TCP hijacking attack that can b...

Xuewei Feng, et al. ∙

research

∙ 07/20/2020

Towards Ground Truth Explainability on Tabular Data

In data science, there is a long history of using synthetic data for met...

Brian Barr, et al. ∙

research

∙ 06/07/2020

BERT Loses Patience: Fast and Robust Inference with Early Exit

In this paper, we propose Patience-based Early Exit, a straightforward y...

Wangchunshu Zhou, et al. ∙

research

∙ 05/27/2020

Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization

There is renewed interest in using advanced techniques to characterize a...

Ke Xu, et al. ∙

research

∙ 05/06/2020

Harvesting and Refining Question-Answer Pairs for Unsupervised QA

Question Answering (QA) has shown great success thanks to the availabili...

Zhongli Li, et al. ∙

research

∙ 05/05/2020

Weak ties strengthen anger contagion in social media

Increasing evidence suggests that, similar to face-to-face communication...

Rui Fan, et al. ∙

research

∙ 04/28/2020

Scheduled DropHead: A Regularization Method for Transformer Models

In this paper, we introduce DropHead, a structured dropout method specif...

Wangchunshu Zhou, et al. ∙

research

∙ 04/23/2020

Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

The great success of Transformer-based models benefits from the powerful...

Yaru Hao, et al. ∙

research

∙ 04/12/2020

Behavior variations and their implications for popularity promotions: From elites to mass in Weibo

The boom in social media with regard to producing and consuming informat...

Bowen Shi, et al. ∙

research

∙ 03/08/2020

Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots

The vision of creating entirely-soft robots capable of performing comple...

Ke Xu, et al. ∙

research

∙ 02/12/2020

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

Automated evaluation of open domain natural language generation (NLG) mo...

Wangchunshu Zhou, et al. ∙

research

∙ 01/31/2020

Pseudo-Bidirectional Decoding for Local Sequence Transduction

Local sequence transduction (LST) tasks are sequence transduction tasks ...

Wangchunshu Zhou, et al. ∙

research

∙ 01/31/2020

Self-Adversarial Learning with Comparative Discrimination for Text Generation

Conventional Generative Adversarial Networks (GANs) for text generation ...

Wangchunshu Zhou, et al. ∙

research

∙ 11/09/2019

DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network

Detecting and masking cloud and cloud shadow from satellite remote sensi...

Ke Xu, et al. ∙

research

∙ 11/07/2019

Improving Grammatical Error Correction with Machine Translation Pairs

We propose a novel data synthesis method to generate diverse error-corre...

Wangchunshu Zhou, et al. ∙

research

∙ 10/12/2019

Online monitoring for safe pedestrian-vehicle interactions

As autonomous systems begin to operate amongst humans, methods for safe ...

Peter Du, et al. ∙

research

∙ 08/24/2019

Where Is My Mirror?

Mirrors are everywhere in our daily lives. Existing computer vision syst...

Xin Yang, et al. ∙

research

∙ 08/23/2019

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

Recently, single-image super-resolution has made great progress owing to...

Xin Yang, et al. ∙

research

∙ 08/15/2019

Visualizing and Understanding the Effectiveness of BERT

Language model pre-training, such as BERT, has achieved remarkable resul...

Yaru Hao, et al. ∙

research

∙ 08/01/2019

MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network

IP protocol is the core of TCP/IP network layer. However, since IP addre...

Hui Li, et al. ∙

research

∙ 07/30/2019

CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems

Detecting and analyzing potential anomalous performances in cloud comput...

Ke Xu, et al. ∙

research

∙ 06/17/2019

The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks

The Internet has become the most important infrastructure of modern soci...

Hui Li, et al. ∙

Ke Xu

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