b'Chen Xu'

research

∙ 06/02/2022

Invertible Neural Networks for Graph Prediction

In this work, we address conditional generation using deep invertible ne...

82 Chen Xu, et al. ∙

research

∙ 05/16/2022

Transfer learning based physics-informed neural networks for solving inverse problems in tunneling

Recently, a class of machine learning methods called physics-informed ne...

1 Chen Xu, et al. ∙

research

∙ 05/02/2022

COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas

Maintaining a consistent persona is essential for building a human-like ...

5 Chen Xu, et al. ∙

research

∙ 03/06/2022

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

With the assumption that a video dataset is multimodality annotated in w...

2 Saghir Alfasly, et al. ∙

research

∙ 02/17/2022

Training neural networks using monotone variational inequality

Despite the vast empirical success of neural networks, theoretical under...

0 Xiuyuan Cheng, et al. ∙

research

∙ 01/10/2022

SMLE: An R Package for Joint Feature Screening in Ultrahigh-dimensional GLMs

The sparsity-restricted maximum likelihood estimator (SMLE) has received...

0 Qianxiang Zang, et al. ∙

research

∙ 08/09/2021

A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

Federated Deep Learning (FDL) is helping to realize distributed machine ...

14 Zhe Wang, et al. ∙

research

∙ 07/06/2021

The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task

This paper describes the submission of the NiuTrans end-to-end speech tr...

0 Xiaoqian Liu, et al. ∙

research

∙ 06/26/2021

A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver

In this work, by introducing the seismic impedance tensor we propose a n...

0 Jianxun Yang, et al. ∙

research

∙ 05/25/2021

Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data

We develop a distribution-free, unsupervised anomaly detection method ca...

0 Yao Xie, et al. ∙

research

∙ 05/12/2021

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

Encoder pre-training is promising in end-to-end Speech Translation (ST),...

0 Bojie Hu, et al. ∙

research

∙ 04/30/2021

DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing

Parsing an image into a hierarchy of objects, parts, and relations is im...

4 Canqun Xiang, et al. ∙

research

∙ 04/21/2021

Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices

An estimation method of Radio Frequency fingerprint (RFF) based on the p...

0 Honglin Yuan, et al. ∙

research

∙ 03/22/2021

Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks

To improve the system performance towards the Shannon limit, advanced ra...

3 Jian Wang, et al. ∙

research

∙ 01/27/2021

Solar Radiation Anomaly Events Modeling Using Spatial-Temporal Mutually Interactive Processes

Modeling and predicting solar events, in particular, the solar ramping e...

0 Minghe Zhang, et al. ∙

research

∙ 01/06/2021

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification

Person Re-Identification (Re-ID) is of great importance to the many vide...

1 Jiawei Ren, et al. ∙

research

∙ 11/30/2020

Dynamic Curriculum Learning for Low-Resource Neural Machine Translation

Large amounts of data has made neural machine translation (NMT) a big su...

0 Bojie Hu, et al. ∙

research

∙ 10/18/2020

Conformal prediction interval for dynamic time-series

We develop a method to build distribution-free prediction intervals in b...

0 Yao Xie, et al. ∙

research

∙ 10/15/2020

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains

One approach to matching texts from asymmetrical domains is projecting t...

0 Weijie Yu, et al. ∙

research

∙ 06/06/2020

MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles

The strong correlation between neurons or filters can significantly weak...

0 Zhennan Wang, et al. ∙

research

∙ 02/20/2020

Predictive Inference Is Free with the Jackknife+-after-Bootstrap

Ensemble learning is widely used in applications to make predictions in ...

0 Byol Kim, et al. ∙

research

∙ 02/18/2020

Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm

The goal of this paper is to develop a novel numerical method for effici...

0 Xiaoxia Liu, et al. ∙

research

∙ 12/03/2019

SAIS: Single-stage Anchor-free Instance Segmentation

In this paper, we propose a simple yet efficientinstance segmentation ap...

0 Canqun Xiang, et al. ∙

research

∙ 11/13/2019

Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning

In this paper, the downlink packet scheduling problem for cellular netwo...

0 Jian Wang, et al. ∙

research

∙ 07/22/2019

Realistic Channel Models Pre-training

In this paper, we propose a neural-network-based realistic channel model...

0 Yourui Huangfu, et al. ∙

research

∙ 07/11/2019

Privileged Features Distillation for E-Commerce Recommendations

Features play an important role in most prediction tasks of e-commerce r...

0 Quan Li, et al. ∙

research

∙ 05/15/2019

Deep Reinforcement Learning for Scheduling in Cellular Networks

Integrating artificial intelligence (AI) into wireless networks has draw...

0 Jian Wang, et al. ∙

research

∙ 04/30/2019

PR Product: A Substitute for Inner Product in Neural Networks

In this paper, we analyze the inner product of weight vector and input v...

0 Zhennan Wang, et al. ∙

research

∙ 03/09/2019

Distributed Feature Screening via Componentwise Debiasing

Feature screening is a powerful tool in the analysis of high dimensional...

0 Xingxiang Li, et al. ∙

research

∙ 01/14/2019

Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models

Accurate prediction of fading channel in future is essential to realize ...

0 Yourui Huangfu, et al. ∙

research

∙ 08/06/2018

A Flip-Syndrome-List Polar Decoder Architecture for Ultra-Low-Latency Communications

We consider practical hardware implementation of Polar decoders. To redu...

0 Huazi Zhang, et al. ∙

research

∙ 02/01/2018

Alternating Multi-bit Quantization for Recurrent Neural Networks

Recurrent neural networks have achieved excellent performance in many ap...

0 Jianqiang Yao, et al. ∙

research

∙ 05/05/2015

On the Feasibility of Distributed Kernel Regression for Big Data

In modern scientific research, massive datasets with huge numbers of obs...

0 Yongquan Zhang, et al. ∙

research

∙ 07/25/2013

Does generalization performance of l^q regularization learning depend on q? A negative example

l^q-regularization has been demonstrated to be an attractive technique i...

0 Shaobo Lin, et al. ∙

Chen Xu

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