b'Jiajun Zhang'

research

∙ 07/25/2023

ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models

Artificial intelligence (AI) reasoning and explainable AI (XAI) tasks ha...

0 Jiajun Zhang, et al. ∙

research

∙ 07/21/2023

Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models

As the use of artificial intelligent (AI) models becomes more prevalent ...

0 Jiajun Zhang, et al. ∙

research

∙ 05/29/2023

BigTrans: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Large language models (LLMs) demonstrate promising translation performan...

0 Wen Yang, et al. ∙

research

∙ 01/12/2023

Language Cognition and Language Computation – Human and Machine Language Understanding

Language understanding is a key scientific issue in the fields of cognit...

0 Shaonan Wang, et al. ∙

research

∙ 12/06/2022

Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation

A common scenario of Multilingual Neural Machine Translation (MNMT) is t...

0 fcq, et al. ∙

research

∙ 10/18/2022

1st Place Solutions for the UVO Challenge 2022

This paper describes the approach we have taken in the challenge. We sti...

0 Jiajun Zhang, et al. ∙

research

∙ 05/26/2022

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Role-oriented dialogue summarization is to generate summaries for differ...

0 Haitao Lin, et al. ∙

research

∙ 03/22/2022

Learning Confidence for Transformer-based Neural Machine Translation

Confidence estimation aims to quantify the confidence of the model predi...

0 Yu Lu, et al. ∙

research

∙ 01/18/2022

Instance-aware Prompt Learning for Language Understanding and Generation

Recently, prompt learning has become a new paradigm to utilize pre-train...

0 Feihu Jin, et al. ∙

research

∙ 12/27/2021

Parameter Differentiation based Multilingual Neural Machine Translation

Multilingual neural machine translation (MNMT) aims to translate multipl...

0 Qian Wang, et al. ∙

research

∙ 10/26/2021

Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework

BACKGROUND AND PURPOSE: Cerebral aneurysm is one of the most common cere...

12 Meng Chen, et al. ∙

research

∙ 09/23/2021

Exploiting Curriculum Learning in Unsupervised Neural Machine Translation

Back-translation (BT) has become one of the de facto components in unsup...

0 Jinliang Lu, et al. ∙

research

∙ 08/30/2021

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Dialogue summarization has drawn much attention recently. Especially in ...

0 Haitao Lin, et al. ∙

research

∙ 08/19/2021

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models

Spoken Language Understanding (SLU) is one essential step in building a ...

0 Haitao Lin, et al. ∙

research

∙ 07/01/2021

OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation

In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross...

0 Jing Liu, et al. ∙

research

∙ 05/26/2021

Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Recently, token-level adaptive training has achieved promising improveme...

0 Yangyifan Xu, et al. ∙

research

∙ 02/24/2021

Pre-Training on Dynamic Graph Neural Networks

The pre-training on the graph neural network model can learn the general...

15 Jiajun Zhang, et al. ∙

research

∙ 11/13/2020

Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints

Pedestrian Attribute Recognition (PAR) has aroused extensive attention d...

0 Jiajun Zhang, et al. ∙

research

∙ 10/28/2020

Bridging the Modality Gap for Speech-to-Text Translation

End-to-end speech translation aims to translate speech in one language i...

0 Yuchen Liu, et al. ∙

research

∙ 10/09/2020

Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning

Document-level neural machine translation has yielded attractive improve...

0 Xiaomian Kang, et al. ∙

research

∙ 04/13/2020

Neural Machine Translation: Challenges, Progress and Future

Machine translation (MT) is a technique that leverages computers to tran...

0 Jiajun Zhang, et al. ∙

research

∙ 12/16/2019

Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

Speech-to-text translation (ST), which translates source language speech...

0 Yuchen Liu, et al. ∙

research

∙ 11/25/2019

Chinese Spelling Error Detection Using a Fusion Lattice LSTM

Spelling error detection serves as a crucial preprocessing in many natur...

0 Hao Wang, et al. ∙

research

∙ 08/31/2019

NCLS: Neural Cross-Lingual Summarization

Cross-lingual summarization (CLS) is the task to produce a summary in on...

0 Junnan Zhu, et al. ∙

research

∙ 08/19/2019

Are You for Real? Detecting Identity Fraud via Dialogue Interactions

Identity fraud detection is of great importance in many real-world scena...

0 Weikang Wang, et al. ∙

research

∙ 07/01/2019

Understanding Memory Modules on Learning Simple Algorithms

Recent work has shown that memory modules are crucial for the generaliza...

0 Kexin Wang, et al. ∙

research

∙ 06/23/2019

Sequence Generation: From Both Sides to the Middle

The encoder-decoder framework has achieved promising process for many se...

0 Long Zhou, et al. ∙

research

∙ 06/12/2019

Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Clarifying user needs is essential for existing task-oriented dialogue s...

0 Weikang Wang, et al. ∙

research

∙ 06/05/2019

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference

Dialogue contexts are proven helpful in the spoken language understandin...

0 He Bai, et al. ∙

research

∙ 05/13/2019

Synchronous Bidirectional Neural Machine Translation

Existing approaches to neural machine translation (NMT) generate the tar...

0 Long Zhou, et al. ∙

research

∙ 04/17/2019

End-to-End Speech Translation with Knowledge Distillation

End-to-end speech translation (ST), which directly translates from sourc...

0 Yuchen Liu, et al. ∙

research

∙ 02/24/2019

Synchronous Bidirectional Inference for Neural Sequence Generation

In sequence to sequence generation tasks (e.g. machine translation and a...

0 Jiajun Zhang, et al. ∙

research

∙ 11/01/2018

Language-Independent Representor for Neural Machine Translation

Current Neural Machine Translation (NMT) employs a language-specific enc...

0 Long Zhou, et al. ∙

research

∙ 08/19/2018

Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language

To deploy a spoken language understanding (SLU) model to a new language,...

0 He Bai, et al. ∙

research

∙ 05/25/2018

Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...

0 fcq, et al. ∙

research

∙ 01/02/2018

Learning Multimodal Word Representation via Dynamic Fusion Methods

Multimodal models have been proven to outperform text-based models on le...

0 Shaonan Wang, et al. ∙

research

∙ 11/15/2017

Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Multimodal models have been proven to outperform text-based approaches o...

0 Shaonan Wang, et al. ∙

research

∙ 11/13/2017

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Neural machine translation (NMT), a new approach to machine translation,...

0 Yining Wang, et al. ∙

research

∙ 11/07/2017

Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks

Hand gesture recognition has long been a hot topic in human computer int...

0 Jiajun Zhang, et al. ∙

research

∙ 11/06/2017

Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System

Traditional vision-based hand gesture recognition systems is limited und...

0 Jiajun Zhang, et al. ∙

research

∙ 11/03/2017

Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...

0 Yining Wang, et al. ∙

research

∙ 11/01/2017

Re-DPoctor: Real-time health data releasing with w-day differential privacy

Wearable devices enable users to collect health data and share them with...

0 Jiajun Zhang, et al. ∙

research

∙ 08/30/2017

Look-ahead Attention for Generation in Neural Machine Translation

The attention model has become a standard component in neural machine tr...

0 Long Zhou, et al. ∙

research

∙ 04/21/2017

Neural System Combination for Machine Translation

Neural machine translation (NMT) becomes a new approach to machine trans...

0 Long Zhou, et al. ∙

research

∙ 01/03/2017

Shortcut Sequence Tagging

Deep stacked RNNs are usually hard to train. Adding shortcut connections...

0 Huijia Wu, et al. ∙

research

∙ 10/24/2016

Bridging Neural Machine Translation and Bilingual Dictionaries

Neural Machine Translation (NMT) has become the new state-of-the-art in ...

0 Jiajun Zhang, et al. ∙

research

∙ 10/11/2016

An Empirical Exploration of Skip Connections for Sequential Tagging

In this paper, we empirically explore the effects of various kinds of sk...

0 Huijia Wu, et al. ∙

research

∙ 10/10/2016

A Dynamic Window Neural Network for CCG Supertagging

Combinatory Category Grammar (CCG) supertagging is a task to assign lexi...

0 Huijia Wu, et al. ∙

research

∙ 07/07/2016

Neural Name Translation Improves Neural Machine Translation

In order to control computational complexity, neural machine translation...

0 Xiaoqing Li, et al. ∙

research

∙ 03/15/2016

Extraction of cylinders and cones from minimal point sets

We propose new algebraic methods for extracting cylinders and cones from...

0 Laurent Busé, et al. ∙

Jiajun Zhang

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