Search Results for author: Meng Zhang

Found 48 papers, 7 papers with code

Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings

1 code implementation EMNLP 2021 Weixuan Wang, Wei Peng, Meng Zhang, Qun Liu

Neural Machine Translation (NMT) has shown a strong ability to utilize local context to disambiguate the meaning of words.

Machine Translation NMT +2

Prior Knowledge and Memory Enriched Transformer for Sign Language Translation

no code implementations Findings (ACL) 2022 Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng

This paper attacks the challenging problem of sign language translation (SLT), which involves not only visual and textual understanding but also additional prior knowledge learning (i. e. performing style, syntax).

POS Sign Language Translation +1

Self-Supervised Quality Estimation for Machine Translation

no code implementations EMNLP 2021 Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu, Yang Liu

Quality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT.

Machine Translation Translation

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

no code implementations29 Nov 2022 Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu

We report extensive experiments on diverse datasets, scenarios, and platforms and demonstrate the superiority of AdaEnlight compared with state-of-the-art low-light image and video enhancement solutions.

Video Enhancement

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

no code implementations2 Nov 2022 Yang Li, Ruinong Wang, Yuanzheng Li, Meng Zhang, Chao Long

To handle the data privacy and openness, we propose a forecasting scheme that combines federated learning and deep reinforcement learning (DRL) for ultra-short-term wind power forecasting, called federated deep reinforcement learning (FedDRL).

Federated Learning Privacy Preserving +2

Motion Guided Deep Dynamic 3D Garments

1 code implementation23 Sep 2022 Meng Zhang, Duygu Ceylan, Niloy J. Mitra

Technically, we model garment dynamics, driven using the input character motion, by predicting per-frame local displacements in a canonical state of the garment that is enriched with frame-dependent skinning weights to bring the garment to the global space.

Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers

no code implementations13 Jul 2022 Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner

As a safety-critical problem, however, anomaly detection is a huge hurdle towards a large-scale deployment of autonomous vehicles in the real world.

Anomaly Detection Autonomous Driving +2

Triangular Transfer: Freezing the Pivot for Triangular Machine Translation

no code implementations ACL 2022 Meng Zhang, Liangyou Li, Qun Liu

Triangular machine translation is a special case of low-resource machine translation where the language pair of interest has limited parallel data, but both languages have abundant parallel data with a pivot language.

Language Modelling Machine Translation +2

MLSLT: Towards Multilingual Sign Language Translation

no code implementations CVPR 2022 Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

In addition, we also explore zero-shot translation in sign language and find that our model can achieve comparable performance to the supervised BSLT model on some language pairs.

Sign Language Translation Translation

A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges

no code implementations22 Dec 2021 Jiting Cao, Meng Zhang, Yang Li

With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of power systems becomes increasingly important.

SimulSLT: End-to-End Simultaneous Sign Language Translation

no code implementations8 Dec 2021 Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

Sign language translation as a kind of technology with profound social significance has attracted growing researchers' interest in recent years.

Sign Language Translation Translation

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

no code implementations5 Dec 2021 Yang Li, Meng Zhang, Chen Chen

Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on a small training dataset is a challenging and urgent problem.

Data Augmentation

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training

no code implementations EMNLP 2021 Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu

In this work, we propose an approach, MultiUAT, that dynamically adjusts the training data usage based on the model's uncertainty on a small set of trusted clean data for multi-corpus machine translation.

Machine Translation Translation

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

no code implementations31 Aug 2021 Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He

Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its application in many scenarios.

Lip Reading

Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems

no code implementations24 Aug 2021 Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang

Thus, novelty detection - identifying data that differ in some respect from the data used for training - becomes a safety measure for system development and operation.

Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation

no code implementations ACL 2021 Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang

This has to be computed n times for a sequence of length n. The linear transformations involved in the LSTM gate and state computations are the major cost factors in this.

Machine Translation Translation

Faithful Edge Federated Learning: Scalability and Privacy

no code implementations30 Jun 2021 Meng Zhang, Ermin Wei, Randall Berry

To this end, we formulate the first faithful implementation problem of federated learning and design two faithful federated learning mechanisms which satisfy economic properties, scalability, and privacy.

Federated Learning

Dynamic Multi-Branch Layers for On-Device Neural Machine Translation

1 code implementation14 May 2021 Zhixing Tan, Zeyuan Yang, Meng Zhang, Qun Liu, Maosong Sun, Yang Liu

With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications, such as neural machine translation (NMT), from cloud to mobile devices.

Machine Translation NMT +1

Dynamic Neural Garments

no code implementations23 Feb 2021 Meng Zhang, Duygu Ceylan, Tuanfeng Wang, Niloy J. Mitra

A vital task of the wider digital human effort is the creation of realistic garments on digital avatars, both in the form of characteristic fold patterns and wrinkles in static frames as well as richness of garment dynamics under avatars' motion.

Neural Rendering

L2E: Learning to Exploit Your Opponent

no code implementations18 Feb 2021 Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing

In this work, we propose a novel Learning to Exploit (L2E) framework for implicit opponent modeling.

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

no code implementations4 Feb 2021 Meng Zhang, Jiazheng Li, Yang Li, Runnan Xu

Secondly, a long short-term memory (LSTM) based assessment model is built through learning the time dependencies from the post-disturbance system dynamics.

Learning to Detect Unacceptable Machine Translations for Downstream Tasks

no code implementations8 May 2020 Meng Zhang, Xin Jiang, Yang Liu, Qun Liu

In this work, we put machine translation in a cross-lingual pipeline and introduce downstream tasks to define task-specific acceptability of machine translations.

Machine Translation Translation

Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer

3 code implementations ECCV 2020 Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen

Photorealistic style transfer is the task of transferring the artistic style of an image onto a content target, producing a result that is plausibly taken with a camera.

Style Transfer

Mechanism Design for Large Scale Network Utility Maximization

no code implementations9 Mar 2020 Meng Zhang, Deepanshu Vasal

With infinitely many agents, agents' truthful reports of their types are their dominant strategies; for the finite case, each agent's incentive to misreport converges quadratically to zero.

Distributed Optimization Computer Science and Game Theory Theoretical Economics

Captioning Images Taken by People Who Are Blind

no code implementations ECCV 2020 Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya

While an important problem in the vision community is to design algorithms that can automatically caption images, few publicly-available datasets for algorithm development directly address the interests of real users.

Image Captioning

Learning to Predict Explainable Plots for Neural Story Generation

no code implementations5 Dec 2019 Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun

While the use of neural networks has proven effective in improving story generation, how to learn to generate an explainable high-level plot still remains a major challenge.

Story Generation

Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks

no code implementations20 Nov 2019 Qun Liu, Lihua Fu, Meng Zhang

Synthetic and field data were tested to assess the performance of the proposed algorithm (DSPRecon algorithm); the advantages of using our method were evaluated by comparing it with the singular spectrum analysis (SSA) method for irregular data reconstruction and de-aliased Cadzow method for regular data reconstruction.

Seismic data interpolation based on U-net with texture loss

no code implementations11 Nov 2019 Wenqian Fang, Lihua Fu, Meng Zhang, Zhiming Li

In this study, a novel Seismic U-net InterpolaTor (SUIT) is proposed to preserve the seismic texture information while reconstructing the missing traces.

Interpretable Relevant Emotion Ranking with Event-Driven Attention

no code implementations IJCNLP 2019 Yang Yang, Deyu Zhou, Yulan He, Meng Zhang

Unveiling the hidden event information can help to understand how the emotions are evoked and provide explainable results.

Word-level Textual Adversarial Attacking as Combinatorial Optimization

1 code implementation ACL 2020 Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun

Also, further experiments show our model has higher transferability and can bring more robustness enhancement to victim models by adversarial training.

Adversarial Attack Combinatorial Optimization +3

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block

no code implementations3 Sep 2019 Guoqing Li, Meng Zhang, Qianru Zhang, Ziyang Chen, Wenzhao Liu, Jiaojie Li, Xuzhao Shen, Jianjun Li, Zhenyu Zhu, Chau Yuen

To design more efficient lightweight concolutional neural netwok, Depthwise-Pointwise-Depthwise inverted bottleneck block (DPD block) is proposed and DPDNet is designed by stacking DPD block.

Multi-Granularity Reasoning for Social Relation Recognition from Images

no code implementations10 Jan 2019 Meng Zhang, Xinchen Liu, Wu Liu, Anfu Zhou, Huadong Ma, Tao Mei

To bridge the domain gap, we propose a Multi-Granularity Reasoning framework for social relation recognition from images.

Hair-GANs: Recovering 3D Hair Structure from a Single Image

1 code implementation15 Nov 2018 Meng Zhang, Youyi Zheng

We introduce Hair-GANs, an architecture of generative adversarial networks, to recover the 3D hair structure from a single image.

Graphics

Recent Advances in Convolutional Neural Network Acceleration

no code implementations23 Jul 2018 Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe ma, Bei Yu

We propose a taxonomy in terms of three levels, i. e.~structure level, algorithm level, and implementation level, for acceleration methods.

Image Classification

Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition

no code implementations1 May 2018 Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang

The layers between the source and target feature extractor are partially untied during the training stage to take both training efficiency and domain adaptation into consideration.

Domain Adaptation

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction

no code implementations EMNLP 2017 Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

By viewing word embedding spaces as distributions, we propose to minimize their earth mover{'}s distance, a measure of divergence between distributions.

Bilingual Lexicon Induction Cross-Lingual Transfer +1

Creatism: A deep-learning photographer capable of creating professional work

no code implementations11 Jul 2017 Hui Fang, Meng Zhang

In our system, we break down aesthetics into multiple aspects, each can be learned individually from a shared dataset of professional examples.

BIG-bench Machine Learning

Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization

no code implementations COLING 2016 Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu, Maosong Sun

Being able to induce word translations from non-parallel data is often a prerequisite for cross-lingual processing in resource-scarce languages and domains.

Translation Word Alignment +1

Cannot find the paper you are looking for? You can Submit a new open access paper.