no code implementations • WMT (EMNLP) 2020 • Jiayi Wang, Ke Wang, Kai Fan, Yuqi Zhang, Jun Lu, Xin Ge, Yangbin Shi, Yu Zhao
We also apply an imitation learning strategy to augment a reasonable amount of pseudo APE training data, potentially preventing the model to overfit on the limited real training data and boosting the performance on held-out data.
no code implementations • WMT (EMNLP) 2021 • Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang
Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years.
no code implementations • ECCV 2020 • Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt
3D hand reconstruction from images is a widely-studied problem in computer vision and graphics, and has a particularly high relevance for virtual and augmented reality.
no code implementations • 27 Feb 2024 • Mark D. Robinson, Peiying Cai, Martin Emons, Reto Gerber, Pierre-Luc Germain, Samuel Gunz, Siyuan Luo, Giulia Moro, Emanuel Sonder, Anthony Sonrel, Jiayi Wang, David Wissel, Izaskun Mallona
Computational biologists are frequently engaged in collaborative data analysis with wet lab researchers.
1 code implementation • 13 Feb 2024 • Zhihan Zhou, Weimin Wu, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu
To encourage effective embeddings to error-prone long-read DNA sequences, we introduce Manifold Instance Mixup (MI-Mix), a contrastive objective that mixes the hidden representations of DNA sequences at randomly selected layers and trains the model to recognize and differentiate these mixed proportions at the output layer.
no code implementations • 1 Jan 2024 • Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau
Patient representation learning based on electronic health records (EHR) is a critical task for disease prediction.
1 code implementation • 21 Dec 2023 • Christen Millerdurai, Diogo Luvizon, Viktor Rudnev, André Jonas, Jiayi Wang, Christian Theobalt, Vladislav Golyanik
3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion.
1 code implementation • 16 Nov 2023 • Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Marek Masiak, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Hamam Mokayede, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, sana al-azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Abeeb Afolabi, Nnaemeka Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Pontus Stenetorp
Furthermore, we develop AfriCOMET, a COMET evaluation metric for African languages by leveraging DA training data from high-resource languages and African-centric multilingual encoder (AfroXLM-Roberta) to create the state-of-the-art evaluation metric for African languages MT with respect to Spearman-rank correlation with human judgments (+0. 406).
1 code implementation • 16 Nov 2023 • Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp
Using the generative nature of a language model to generate task-relevant separators has shown competitive results compared to human-curated prompts like "TL;DR".
no code implementations • 8 Oct 2023 • Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang
Interactive machine translation (IMT) has emerged as a progression of the computer-aided translation paradigm, where the machine translation system and the human translator collaborate to produce high-quality translations.
no code implementations • 21 Sep 2023 • Shuang Zeng, Lei Zhu, Xinliang Zhang, Zifeng Tian, Qian Chen, Lujia Jin, Jiayi Wang, Yanye Lu
In this work, we propose a novel asymmetric contrastive learning framework named JCL for medical image segmentation with self-supervised pre-training.
no code implementations • 23 May 2023 • Jiayi Wang, Ke Wang, Yuqi Zhang, Yu Zhao, Pontus Stenetorp
We explore whether such non-parametric models can improve machine translation models at the fine-tuning stage by incorporating statistics from the kNN predictions to inform the gradient updates for a baseline translation model.
no code implementations • 7 Mar 2023 • Linyuan Gong, Jiayi Wang, Alvin Cheung
We propose Adversarial DEep Learning Transpiler (ADELT) for source-to-source transpilation between deep learning frameworks.
no code implementations • 27 Jan 2023 • Qian Xie, Jiayi Wang, Li Jin
Parallel server systems in transportation, manufacturing, and computing heavily rely on dynamic routing using connected cyber components for computation and communication.
no code implementations • 16 Nov 2022 • Xin Ge, Ke Wang, Jiayi Wang, Nini Xiao, Xiangyu Duan, Yu Zhao, Yuqi Zhang
The leader board finally shows that our submissions are ranked first in three of four language directions in the Naive TS task of the WMT22 Translation Suggestion task.
1 code implementation • 14 Nov 2022 • Ke Wang, Xin Ge, Jiayi Wang, Yu Zhao, Yuqi Zhang
Human translators perform post editing on machine translations to correct errors in the scene of computer aided translation.
no code implementations • 4 Oct 2022 • Jiayi Wang, Diogo Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt
Through this, we demonstrate the quality of our probabilistic reconstruction and show that explicit ambiguity modeling is better-suited for this challenging problem.
no code implementations • 29 Sep 2022 • Jiayi Wang, Zhengling Qi, Chengchun Shi
This approach utilizes the observed action, either from AI or humans, as input for achieving a stronger oracle in policy learning for the decision maker (humans or AI).
no code implementations • 21 Jul 2022 • Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang, Hai Zhao
However, we find that most existing textual adversarial examples are unnatural, which can be easily distinguished by both human and machine.
1 code implementation • 18 Jul 2022 • Hegui Zhu, Zhan Gao, Jiayi Wang, Yange Zhou, Chengqing Li
The comprehensive experiments on three fine-grained benchmark datasets for two few-shot tasks verify that FicNet has excellent performance compared to the state-of-the-art methods.
no code implementations • 19 Apr 2022 • Nanqing Dong, Jiayi Wang, Irina Voiculescu
Due to the high human cost of annotation, it is non-trivial to curate a large-scale medical dataset that is fully labeled for all classes of interest.
1 code implementation • Findings (ACL) 2022 • Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang, Hai Zhao
We question the validity of current evaluation of robustness of PrLMs based on these non-natural adversarial samples and propose an anomaly detector to evaluate the robustness of PrLMs with more natural adversarial samples.
no code implementations • 30 Dec 2021 • Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang
Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years.
no code implementations • Findings (EMNLP) 2021 • Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng
Quality Estimation (QE) plays an essential role in applications of Machine Translation (MT).
no code implementations • 10 Sep 2021 • Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Offline policy evaluation (OPE) is considered a fundamental and challenging problem in reinforcement learning (RL).
no code implementations • 22 Jun 2021 • Jiayi Wang, Franziska Mueller, Florian Bernard, Suzanne Sorli, Oleksandr Sotnychenko, Neng Qian, Miguel A. Otaduy, Dan Casas, Christian Theobalt
Moreover, we demonstrate that our approach offers previously unseen two-hand tracking performance from RGB, and quantitatively and qualitatively outperforms existing RGB-based methods that were not explicitly designed for two-hand interactions.
no code implementations • 9 Jun 2021 • Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
In particular, the proposed method achieves a stronger guarantee than existing work in terms of the scaling with respect to the observation probabilities, under asymptotically heterogeneous missing settings (where entry-wise observation probabilities can be of different orders).
1 code implementation • 30 May 2021 • Rongzhou Bao, Jiayi Wang, Hai Zhao
In detail, we design an auxiliary anomaly detection classifier and adopt a multi-task learning procedure, by which PrLMs are able to distinguish adversarial input samples.
no code implementations • 30 Dec 2020 • Rongzhou Bao, Jiayi Wang, Zhuosheng Zhang, Hai Zhao
By substituting complex words with simple alternatives, lexical simplification (LS) is a recognized method to reduce such lexical diversity, and therefore to improve the understandability of sentences.
1 code implementation • ICCV 2021 • Viktor Rudnev, Vladislav Golyanik, Jiayi Wang, Hans-Peter Seidel, Franziska Mueller, Mohamed Elgharib, Christian Theobalt
Due to the different data modality of event cameras compared to classical cameras, existing methods cannot be directly applied to and re-trained for event streams.
1 code implementation • 24 Oct 2020 • Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
Furthermore, we extend our analytical approach based on "upward" and "downward" divergences to study the convergence for the general case of H-SGD with more than two levels, where the "sandwich behavior" still holds.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan
With the advent of neural machine translation, there has been a marked shift towards leveraging and consuming the machine translation results.
no code implementations • 6 Jul 2020 • Jiayi Wang, Franziska Mueller, Florian Bernard, Christian Theobalt
We propose to use a model-based generative loss for training hand pose estimators on depth images based on a volumetric hand model.
no code implementations • 24 Oct 2019 • Tarun Yenamandra, Florian Bernard, Jiayi Wang, Franziska Mueller, Christian Theobalt
We consider the problem of inverse kinematics (IK), where one wants to find the parameters of a given kinematic skeleton that best explain a set of observed 3D joint locations.
no code implementations • 3 Oct 2019 • Kai Fan, Jiayi Wang, Bo Li, Shiliang Zhang, Boxing Chen, Niyu Ge, Zhijie Yan
The performances of automatic speech recognition (ASR) systems are usually evaluated by the metric word error rate (WER) when the manually transcribed data are provided, which are, however, expensively available in the real scenario.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 22 Aug 2019 • Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen
The framework comprises two parts: forward encoding model that deals with visual stimuli and inner state model that captures influence from intrinsic connections in the brain.
no code implementations • 14 Aug 2019 • Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
For predicting food purchasing events, the RBF-SVM model (0. 7395) outperforms others.
no code implementations • 5 Nov 2018 • Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
We propose a hierarchical prior model for low-rank phase retrieval, in which a Gaussian-Wishart hierarchical prior is placed on the underlying low-rank matrix to promote the low-rankness of the matrix.
no code implementations • WS 2018 • Jiayi Wang, Kai Fan, Bo Li, Fengming Zhou, Boxing Chen, Yangbin Shi, Luo Si
The goal of WMT 2018 Shared Task on Translation Quality Estimation is to investigate automatic methods for estimating the quality of machine translation results without reference translations.
1 code implementation • 25 Jul 2018 • Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si
Recent advances in statistical machine translation via the adoption of neural sequence-to-sequence models empower the end-to-end system to achieve state-of-the-art in many WMT benchmarks.