b'Jia Xu'

research

∙ 08/10/2023

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning

Relevance modeling aims to locate desirable items for corresponding quer...

0 Zeyuan Chen, et al. ∙

research

∙ 05/31/2023

A family of Counterexamples on Inequality among Symmetric Functions

Inequalities among symmetric functions are fundamental questions in math...

0 Jia Xu, et al. ∙

research

∙ 04/12/2023

DUFormer: A Novel Architecture for Power Line Segmentation of Aerial Images

Power lines pose a significant safety threat to unmanned aerial vehicles...

0 Deyu An, et al. ∙

research

∙ 02/22/2023

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks

Machine Learning (ML) techniques facilitate automating malicious softwar...

0 Deqiang Li, et al. ∙

research

∙ 11/12/2022

ConceptX: A Framework for Latent Concept Analysis

The opacity of deep neural networks remains a challenge in deploying sol...

16 Firoj Alam, et al. ∙

research

∙ 10/21/2022

SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models

This paper describes the Stevens Institute of Technology's submission fo...

0 Abdul Rafae Khan, et al. ∙

research

∙ 08/04/2022

Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents

We study multi-agent reinforcement learning (MARL) with centralized trai...

0 Xuting Tang, et al. ∙

research

∙ 06/27/2022

Analyzing Encoded Concepts in Transformer Language Models

We propose a novel framework ConceptX, to analyze how latent concepts ar...

24 Hassan Sajjad, et al. ∙

research

∙ 05/15/2022

Discovering Latent Concepts Learned in BERT

A large number of studies that analyze deep neural network models and th...

13 Fahim Dalvi, et al. ∙

research

∙ 01/24/2022

Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective

Digital business transformation has become increasingly important for or...

0 Jia Xu, et al. ∙

research

∙ 08/05/2021

Itinerary-aware Personalized Deep Matching at Fliggy

Matching items for a user from a travel item pool of large cardinality h...

0 Jia Xu, et al. ∙

research

∙ 06/25/2021

Deep Interpretable Criminal Charge Prediction and Algorithmic Bias

While predictive policing has become increasingly common in assisting wi...

0 Abdul Rafae Khan, et al. ∙

research

∙ 06/08/2021

Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation

We present DistillFlow, a knowledge distillation approach to learning op...

0 Pengpeng Liu, et al. ∙

research

∙ 02/24/2021

A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing

With the fast development of mobile edge computing (MEC), there is an in...

0 Xuejun Li, et al. ∙

research

∙ 01/30/2021

EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems

Current cloud-based smart systems suffer from weaknesses such as high re...

0 Xuejun Li, et al. ∙

research

∙ 10/09/2020

Learning 3D Face Reconstruction with a Pose Guidance Network

We present a self-supervised learning approach to learning monocular 3D ...

0 Pengpeng Liu, et al. ∙

research

∙ 04/05/2020

Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching

In this paper, we propose a unified method to jointly learn optical flow...

0 Pengpeng Liu, et al. ∙

research

∙ 03/31/2020

A Clustering Framework for Lexical Normalization of Roman Urdu

Roman Urdu is an informal form of the Urdu language written in Roman scr...

0 Abdul Rafae Khan, et al. ∙

research

∙ 11/11/2019

Diversity by Phonetics and its Application in Neural Machine Translation

We introduce a powerful approach for Neural Machine Translation (NMT), w...

0 Abdul Rafae Khan, et al. ∙

research

∙ 10/29/2019

A sufficient condition for local nonnegativity

A real polynomial f is called local nonnegative at a point p, if it is n...

0 Jia Xu, et al. ∙

research

∙ 10/27/2019

Adversarial Defense Via Local Flatness Regularization

Adversarial defense is a popular and important research area. Due to its...

0 Jia Xu, et al. ∙

research

∙ 07/26/2019

Learning to Solve a Rubik's Cube with a Dexterous Hand

We present a learning-based approach to solving a Rubik's cube with a mu...

0 Tingguang Li, et al. ∙

research

∙ 04/19/2019

SelFlow: Self-Supervised Learning of Optical Flow

We present a self-supervised learning approach for optical flow. Our met...

48 Pengpeng Liu, et al. ∙

research

∙ 02/25/2019

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

We present DDFlow, a data distillation approach to learning optical flow...

8 Pengpeng Liu, et al. ∙

research

∙ 01/12/2019

Incentivizing the Workers for Truth Discovery in Crowdsourcing with Copiers

Crowdsourcing has become an efficient paradigm for performing large scal...

0 Lingyun Jiang, et al. ∙

research

∙ 05/04/2018

Learning to See in the Dark

Imaging in low light is challenging due to low photon count and low SNR....

2 Chen Chen, et al. ∙

research

∙ 09/02/2017

Fast Image Processing with Fully-Convolutional Networks

We present an approach to accelerating a wide variety of image processin...

0 Qifeng Chen, et al. ∙

research

∙ 01/28/2017

A proof of Hilbert's theorem on ternary quartic forms with the ladder technique

This paper proposes a totally constructive approach for the proof of Hil...

0 Jia Xu, et al. ∙

research

∙ 10/01/2016

Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity

In this paper, with respect to multichannel synthetic aperture radars (S...

0 Jia Xu, et al. ∙

research

∙ 01/18/2015

Phrase Based Language Model For Statistical Machine Translation

We consider phrase based Language Models (LM), which generalize the comm...

0 Jia Xu, et al. ∙

research

∙ 05/21/2013

Extract ABox Modules for Efficient Ontology Querying

The extraction of logically-independent fragments out of an ontology ABo...

0 Jia Xu, et al. ∙

Jia Xu

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