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.
no code implementations • WMT (EMNLP) 2021 • Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu
This paper describes the NoahNMT system submitted to the WMT 2021 shared task of Very Low Resource Supervised 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.
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).
no code implementations • 5 May 2024 • Junkai Li, Siyu Wang, Meng Zhang, Weitao Li, Yunghwei Lai, Xinhui Kang, Weizhi Ma, Yang Liu
In this paper, we introduce a simulacrum of hospital called Agent Hospital that simulates the entire process of treating illness.
Ranked #1 on Question Answering on MedQA
no code implementations • 2 Apr 2024 • Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei
In this work, we propose a Hessian-free online unlearning method.
1 code implementation • 12 Mar 2024 • Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Large Language Models (LLMs) have presented impressive performance across several transformative tasks.
no code implementations • 7 Mar 2024 • Xiaodi Chen, Meng Zhang, Zhengguang Wu, Ligang Wu, Xiaohong Guan
Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality.
no code implementations • 12 Feb 2024 • Meng Zhang, Dennis Yin, Nicholas Gangi, Amir Begović, Alexander Chen, Zhaoran Rena Huang, Jiaqi Gu
Electronic-photonic computing systems offer immense potential in energy-efficient artificial intelligence (AI) acceleration tasks due to the superior computing speed and efficiency of optics, especially for real-time, low-energy deep neural network (DNN) inference tasks on resource-restricted edge platforms.
no code implementations • 16 Dec 2023 • Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang
The uncertain edge load dynamics, the nature of the fractional objective, and hybrid continuous-discrete action space (due to the joint optimization) make this problem challenging and existing approaches not directly applicable.
no code implementations • 4 Nov 2023 • Jianyuan Zhang, Zhiliu Yang, Meng Zhang
Large-scale semantic mapping is crucial for outdoor autonomous agents to fulfill high-level tasks such as planning and navigation.
1 code implementation • 5 Jul 2023 • Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
In this study, we address this issue by formulating a multi-objective offloading problem for MEC with multiple edges to minimize expected long-term energy consumption and transmission delay while considering unknown preferences as parameters.
no code implementations • 3 Jul 2023 • Shuo Chen, Ning Yang, Meng Zhang, Jun Wang
In this paper, we consider multiple users offloading tasks to heterogeneous edge servers in a MEC system.
no code implementations • 3 May 2023 • Hao Cheng, Meng Zhang, Weixuan Wang, Liangyou Li, Qun Liu, Zhihua Zhang
We can use automatic summarization or machine translation evaluation metrics for length-controllable machine translation, but this is not necessarily suitable and accurate.
no code implementations • 3 May 2023 • Hao Cheng, Meng Zhang, Liangyou Li, Qun Liu, Zhihua Zhang
Utilizing pivot language effectively can significantly improve low-resource machine translation.
no code implementations • 2 Mar 2023 • Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang
Training Graph Neural Networks (GNNs) on large graphs is challenging due to the conflict between the high memory demand and limited GPU memory.
no code implementations • 21 Feb 2023 • Meng Zhang, Wenxuan Guo, Bohao Fan, Yifan Chen, Jianjiang Feng, Jie zhou
The experimental results show that multi-view point clouds greatly improve 3D object detection and tracking accuracy regardless of complex and various outdoor environments.
no code implementations • 29 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.
no code implementations • 2 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).
1 code implementation • 23 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.
no code implementations • 13 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.
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.
1 code implementation • ACL 2022 • Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
To the best of our knowledge, this is the first work to pre-train a unified model for fine-tuning on both NMT tasks.
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.
no code implementations • 22 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.
no code implementations • 8 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.
no code implementations • 5 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.
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.
no code implementations • 31 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.
no code implementations • 24 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.
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.
no code implementations • 30 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.
1 code implementation • 14 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.
no code implementations • 23 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.
no code implementations • 18 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.
no code implementations • 4 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.
no code implementations • 12 Aug 2020 • Liang Yu, Shuqi Qin, Meng Zhang, Chao Shen, Tao Jiang, Xiaohong Guan
However, it is a nontrivial task due to the following challenges.
no code implementations • 6 Aug 2020 • Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekara, Xuewen Zhang, Chia-wei Woo, Jenny Low, Xiang Liu
With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images.
no code implementations • 8 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.
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.
no code implementations • 9 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
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.
no code implementations • 5 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.
no code implementations • 20 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.
no code implementations • 11 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.
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.
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.
no code implementations • 3 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.
no code implementations • 10 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.
Ranked #3 on Visual Social Relationship Recognition on PISC
no code implementations • 2 Dec 2018 • Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Ng, Nigam H. Shah
Identifying patients who will be discharged within 24 hours can improve hospital resource management and quality of care.
1 code implementation • 15 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
no code implementations • 23 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.
no code implementations • WS 2018 • Meng Zhang, Xie Chen, Ronan Cummins, {\O}istein E. Andersen, Ted Briscoe
Some language exams have multiple writing tasks.
no code implementations • 1 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.
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.
no code implementations • 11 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.
no code implementations • ACL 2017 • Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun
In this work, we show that such cross-lingual connection can actually be established without any form of supervision.
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.