no code implementations • 23 Jan 2019 • Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao
Facial Micro-expression Recognition (MER) distinguishes the underlying emotional states of spontaneous subtle facialexpressions.
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • 24 Feb 2019 • Wei Peng, Yu-Hong Dai, HUI ZHANG, Li-Zhi Cheng
Training generative adversarial networks (GANs) often suffers from cyclic behaviors of iterates.
no code implementations • 11 Mar 2019 • Wei Peng, Baogui Xin
The traditional social recommendation algorithm ignores the following fact: the preferences of users with trust relationships are not necessarily similar, and the consideration of user preference similarity should be limited to specific areas.
no code implementations • 13 Apr 2019 • Baogui Xin, Wei Peng
We propose a novel filter for sparse big data, called an integrated autoencoder (IAE), which utilizes auxiliary information to mitigate data sparsity.
no code implementations • 25 May 2019 • Wei Peng, Tim Coleman, Lucas Mentch
Random forests remain among the most popular off-the-shelf supervised learning algorithms.
no code implementations • 10 Jul 2019 • Wei Peng, Xiaopeng Hong, Guoying Zhao
Deep neural networks have achieved great success for video analysis and understanding.
no code implementations • WS 2019 • Wei Peng, Jianfeng Liu, Liangyou Li, Qun Liu
This paper describes Huawei{'}s neural machine translation systems for the WMT 2019 biomedical translation shared task.
no code implementations • 6 Apr 2020 • Wei Peng, Chongxuan Huang, Tian-Hao Li, Yun Chen, Qun Liu
Existing data augmentation approaches for neural machine translation (NMT) have predominantly relied on back-translating in-domain (IND) monolingual corpora.
no code implementations • 6 Apr 2020 • Choon Meng Lee, Jianfeng Liu, Wei Peng
In training deep learning networks, the optimizer and related learning rate are often used without much thought or with minimal tuning, even though it is crucial in ensuring a fast convergence to a good quality minimum of the loss function that can also generalize well on the test dataset.
no code implementations • 17 Jun 2020 • Zhaoqiang Xia, Wei Peng, Huai-Qian Khor, Xiaoyi Feng, Guoying Zhao
In this paper, we analyze the influence of learning complexity, including the input complexity and model complexity, and discover that the lower-resolution input data and shallower-architecture model are helpful to ease the degradation of deep models in composite-database task.
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • SEMEVAL 2020 • Luxi Xing, Yuqiang Xie, Yue Hu, Wei Peng
This paper introduces our systems for the first two subtasks of SemEval Task4: Commonsense Validation and Explanation.
no code implementations • 30 Jul 2020 • Wei Peng, Jingang Shi, Zhaoqiang Xia, Guoying Zhao
In human action recognition, current works introduce a dynamic graph generation mechanism to better capture the underlying semantic skeleton connections and thus improves the performance.
Ranked #44 on Skeleton Based Action Recognition on NTU RGB+D 120
no code implementations • 10 Aug 2020 • Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao
To address the problem of training on small datasets for action recognition tasks, most prior works are either based on a large number of training samples or require pre-trained models transferred from other large datasets to tackle overfitting problems.
no code implementations • 20 Oct 2020 • Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun, Xiangpeng Wei
We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) for reading comprehension from the perspective of complementary learning systems theory.
no code implementations • 14 Dec 2020 • Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silvén, Guoying Zhao
In this paper, a novel hybrid quantum-classical neural network with deep residual learning (Res-HQCNN) is proposed.
no code implementations • SEMEVAL 2021 • Yuqiang Xie, Luxi Xing, Wei Peng, Yue Hu
This paper introduces our systems for all three subtasks of SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.
no code implementations • 8 Mar 2021 • Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu, Yajing Sun
Most of the existing systems design a simple classifier to determine answerability implicitly without explicitly modeling mutual interaction and relation between the question and passage, leading to the poor performance for determining the unanswerable questions.
no code implementations • 16 Jun 2021 • Ting Han, Chongxuan Huang, Wei Peng
Dialogue State Tracking (DST), which is the process of inferring user goals by estimating belief states given the dialogue history, plays a critical role in task-oriented dialogue systems.
no code implementations • 4 Jul 2021 • Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng
It is prevalent to utilize external knowledge to help machine answer questions that need background commonsense, which faces a problem that unlimited knowledge will transmit noisy and misleading information.
no code implementations • 23 Jul 2021 • Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
Inspired by this idea, we propose the new Reptile initialization to sample more tasks from the parameterized PDEs and adapt the penalty term of the loss.
no code implementations • 13 Aug 2021 • Minghui Huang, Wei Peng, Dong Wang
Ranking models have achieved promising results, but it remains challenging to design personalized ranking systems to leverage user profiles and semantic representations between queries and documents.
no code implementations • COLING 2020 • Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun, Xiangpeng Wei
We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) for reading comprehension from the perspective of complementary learning systems theory.
no code implementations • 18 Sep 2021 • Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang, Haoran Wang, Haonan Lu, Ximing Liu, Wei Peng
In this paper, we describe approaches for developing Emily, an emotion-affective open-domain chatbot.
no code implementations • WMT (EMNLP) 2020 • Wei Peng, Jianfeng Liu, Minghan Wang, Liangyou Li, Xupeng Meng, Hao Yang, Qun Liu
This paper describes Huawei’s submissions to the WMT20 biomedical translation shared task.
no code implementations • WMT (EMNLP) 2021 • Weixuan Wang, Wei Peng, Xupeng Meng, Qun Liu
This paper describes Huawei Artificial Intelligence Application Research Center’s neural machine translation systems and submissions to the WMT21 biomedical translation shared task.
no code implementations • 14 Feb 2022 • Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Xingsheng Zhang, Yajing Sun
Intention, emotion and action are important elements in human activities.
no code implementations • 15 Mar 2022 • Kairui Bao, Wen Yao, Xiaoya Zhang, Wei Peng, Yu Li
Second, a physics-driven CNN surrogate with partial differential equation (PDE) residuals as a loss function is utilized for fast meshing (meshing surrogate); then, we present a data-driven surrogate model based on the multi-level reduced-order method, aiming to learn solutions of temperature field in the above regular computational plane (thermal surrogate).
no code implementations • 16 Mar 2022 • Bike Chen, Wei Peng, Xiaofeng Cao, Juha Röning
Semantic segmentation (SS) aims to classify each pixel into one of the pre-defined classes.
no code implementations • CVPR 2022 • Wei Peng, Li Feng, Guoying Zhao, Fang Liu
While most of these methods focus on designing novel reconstruction networks or new training strategies for a given undersampling pattern, e. g., Cartesian undersampling or Non-Cartesian sampling, to date, there is limited research aiming to learn and optimize k-space sampling strategies using deep neural networks.
no code implementations • 1 May 2022 • Jinsheng Wei, Wei Peng, Guanming Lu, Yante Li, Jingjie Yan, Guoying Zhao
However, the discriminability of facial landmarks for MER is unclear.
Micro Expression Recognition Micro-Expression Recognition +1
1 code implementation • 7 May 2022 • Wei Peng, Yue Hu, Yuqiang Xie, Luxi Xing, Yajing Sun
In this paper, we propose a novel cognitive framework of individual interaction.
no code implementations • 14 May 2022 • Xu Liu, Wen Yao, Wei Peng, Weien Zhou
Besides, for inverse PDE problems, problem parameters considered as new output layer weights are unified in a framework with forward PDE problems.
1 code implementation • 24 Jun 2022 • Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun
Specifically, CFO-Net designs a feedback memory module, including strategy pool and feedback pool, to obtain emotion-aware strategy representation.
no code implementations • 20 Jul 2022 • Yawen Cui, Zitong Yu, Wei Peng, Li Liu
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples by avoiding the overfitting and catastrophic forgetting simultaneously.
no code implementations • 9 Aug 2022 • Weixuan Wang, Wei Peng, Chong Hsuan Huang, Haoran Wang
In this paper, we describe a data enhancement method for developing Emily, an emotion-affective open-domain chatbot.
no code implementations • 1 Sep 2022 • Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao
The rapid analysis of thermal stress and deformation plays a pivotal role in the thermal control measures and optimization of the structural design of satellites.
no code implementations • COLING 2022 • Zihao Feng, Hailong Cao, Tiejun Zhao, Weixuan Wang, Wei Peng
Despite their progress in high-resource language settings, unsupervised bilingual lexicon induction (UBLI) models often fail on corpora with low-resource distant language pairs due to insufficient initialization.
no code implementations • COLING 2022 • Yuqiang Xie, Yue Hu, Yunpeng Li, Guanqun Bi, Luxi Xing, Wei Peng
Inspired by psychology theories, we introduce global psychological state chains, which include the needs and emotions of the protagonists, to help a story generation system create more controllable and well-planned stories.
no code implementations • 1 Nov 2022 • Wei Peng, Ziyuan Qin, Yue Hu, Yuqiang Xie, Yunpeng Li
The core module in FADO consists of a dual-level feedback strategy selector and a double control reader.
no code implementations • 6 Dec 2022 • Zixue Xiang, Wei Peng, Wen Yao
We introduce GNNs into physics-informed learning to better handle irregular domains with unstructured meshes.
no code implementations • CVPR 2023 • Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, Wei Peng
The ablation study also validates that the proposed coordinate sequence decoder and the visual-alignment loss are the keys to the success of our method.
no code implementations • ICCV 2023 • Yifei Chen, Dapeng Chen, Ruijin Liu, Hao Li, Wei Peng
Supervised by the semantics of action labels, recent works adapt the visual branch of VLMs to learn video representations.
no code implementations • 25 Mar 2023 • Rui Zhang, Yajing Sun, Jingyuan Yang, Wei Peng
We propose a novel Knowledge-Augmented Frame Semantic Parsing Architecture (KAF-SPA) to enhance semantic representation by incorporating accurate frame knowledge into PLMs during frame semantic parsing.
no code implementations • 12 Apr 2023 • Weixuan Wang, Wei Peng, Qun Liu
Visualization methods like heatmaps, T-SNE and translation examples are also utilized to demonstrate the effects of the proposed method.
no code implementations • CVPR 2023 • Hao Yu, Xu Cheng, Wei Peng
Visible-infrared recognition (VI recognition) is a challenging task due to the enormous visual difference across heterogeneous images.
no code implementations • 17 May 2023 • Wei Feng, Lvwei Wang, Zaiyun Lin, Yanhao Zhu, Han Wang, Jianqiang Dong, Rong Bai, Huting Wang, Jielong Zhou, Wei Peng, Bo Huang, Wenbiao Zhou
Generative models for molecules based on sequential line notation (e. g.
no code implementations • 15 Aug 2023 • Wenyuan Xue, Dapeng Chen, Baosheng Yu, Yifei Chen, Sai Zhou, Wei Peng
Visual chart recognition systems are gaining increasing attention due to the growing demand for automatically identifying table headers and values from chart images.
no code implementations • 29 Aug 2023 • Ruijin Liu, Ning Lu, Dapeng Chen, Cheng Li, Zejian yuan, Wei Peng
We present PBFormer, an efficient yet powerful scene text detector that unifies the transformer with a novel text shape representation Polynomial Band (PB).
no code implementations • ICCV 2023 • Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao
Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-modality discrepancies and intra-class variations.
no code implementations • 14 Sep 2023 • Maonian Wu, Bang Chen, Shaojun Zhu, Bo Zheng, Wei Peng, Mingyi Zhang
A recommendation system assists users in finding items that are relevant to them.
no code implementations • 5 Oct 2023 • Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
This study focuses on two main objectives: (1) the development of a method for creating images based on textual prompts and anatomical components, and (2) the capability to generate new images conditioning on anatomical elements.
no code implementations • 7 Oct 2023 • Wei Peng, Tomas Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
Generative AI models hold great potential in creating synthetic brain MRIs that advance neuroimaging studies by, for example, enriching data diversity.
no code implementations • 27 Nov 2023 • Yifei Chen, Dapeng Chen, Ruijin Liu, Sai Zhou, Wenyuan Xue, Wei Peng
With the aligned entities, we feed their text embeddings to a transformer-based video adapter as the queries, which can help extract the semantics of the most important entities from a video to a vector.
no code implementations • 12 Dec 2023 • Zabir Al Nazi, Wei Peng
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension.
no code implementations • 1 Feb 2024 • Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao, Ke Wang, Liping Hou, Rongjun Li, Wei Peng
In this comprehensive survey, we dissect LVLM-related hallucinations in an attempt to establish an overview and facilitate future mitigation.
2 code implementations • 16 Apr 2019 • Tim Coleman, Wei Peng, Lucas Mentch
Throughout the last decade, random forests have established themselves as among the most accurate and popular supervised learning methods.
1 code implementation • 11 Nov 2022 • Danial Kamali, Joseph Romain, Huiyi Liu, Wei Peng, Jingbo Meng, Parisa Kordjamshidi
We evaluate fine-tuning and prompt-engineering techniques with pre-trained language models of the BERT family and the generative large language models of the GPT family using persuasive strategies as an additional source of information.
1 code implementation • EMNLP (insights) 2021 • Qi Zhu, Yuxian Gu, Lingxiao Luo, Bing Li, Cheng Li, Wei Peng, Minlie Huang, Xiaoyan Zhu
Further pre-training language models on in-domain data (domain-adaptive pre-training, DAPT) or task-relevant data (task-adaptive pre-training, TAPT) before fine-tuning has been shown to improve downstream tasks’ performances.
1 code implementation • 18 Feb 2022 • Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo
To address these two issues, we propose a novel Contrastive Learning framework for Story Ending Generation (CLSEG), which has two steps: multi-aspect sampling and story-specific contrastive learning.
1 code implementation • 19 Aug 2023 • Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
An alternative is to impute the missing measurements via a deep learning approach.
1 code implementation • 11 Jul 2023 • Bang Chen, Wei Peng, Maonian Wu, Bo Zheng, Shaojun Zhu
Some researchers use user behavior for logic reasoning to achieve recommendation prediction from the perspective of cognitive reasoning, but this kind of reasoning is a local one and ignores implicit information on a global scale.
1 code implementation • 22 Jun 2021 • Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
To solve this problem, this work develops a novel physics-informed deep reversible regression models for temperature field reconstruction of heat-source systems (TFR-HSS), which can better reconstruct the temperature field with limited monitoring points unsupervisedly.
1 code implementation • 15 Oct 2023 • Weixuan Wang, Barry Haddow, Alexandra Birch, Wei Peng
Large language models (LLMs) have been treated as knowledge bases due to their strong performance in knowledge probing tasks.
1 code implementation • 30 Sep 2023 • Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
Interpretability is a key issue when applying deep learning models to longitudinal brain MRIs.
1 code implementation • 19 Oct 2022 • Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao
Physics-informed neural networks (PINNs) have been proposed to solve two main classes of problems: data-driven solutions and data-driven discovery of partial differential equations.
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.
1 code implementation • 27 Apr 2022 • Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun, Yunpeng Li
Emotional support conversation aims at reducing the emotional distress of the help-seeker, which is a new and challenging task.
1 code implementation • 2 May 2022 • Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu
Learning solutions of partial differential equations (PDEs) with Physics-Informed Neural Networks (PINNs) is an attractive alternative approach to traditional solvers due to its flexibility and ease of incorporating observed data.
1 code implementation • 9 Aug 2022 • Jingyuan Yang, Rongjun Li, Wei Peng
Error correction techniques remain effective to refine outputs from automatic speech recognition (ASR) models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • COLING 2022 • Yuqiang Xie, Yue Hu, Wei Peng, Guanqun Bi, Luxi Xing
Motivations, emotions, and actions are inter-related essential factors in human activities.
1 code implementation • 1 Dec 2022 • Jingcheng Deng, Hengwei Dai, Xuewei Guo, Yuanchen Ju, Wei Peng
URR aims to implicitly extract dependencies between utterances, as well as utterances and options, and make reasoning with relational graph convolutional networks.
1 code implementation • 17 Apr 2020 • Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
Physics-Informed Neural Networks (PINNs) can be regarded as general-purpose PDE solvers, but it might be slow to train PINNs on particular problems, and there is no theoretical guarantee of corresponding error bounds.
1 code implementation • WMT (EMNLP) 2020 • Haluk Açarçiçek, Talha Çolakoğlu, Pınar Ece Aktan Hatipoğlu, Chong Hsuan Huang, Wei Peng
This paper illustrates Huawei’s submission to the WMT20 low-resource parallel corpus filtering shared task.
1 code implementation • Findings (ACL) 2021 • Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang
To address this task, we propose a TOD system with hybrid knowledge management, HyKnow.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Ximing Liu, Wei Xue, Qi Su, Weiran Nie, Wei Peng
Creating high-quality annotated dialogue corpora is challenging.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 21 Nov 2022 • Tuomas Varanka, Yante Li, Wei Peng, Guoying Zhao
Micro-expressions have drawn increasing interest lately due to various potential applications.
2 code implementations • 4 Dec 2023 • Mohammed Baharoon, Waseem Qureshi, Jiahong Ouyang, Yanwu Xu, Abdulrhman Aljouie, Wei Peng
To measure the effectiveness and generalizability of DINOv2's feature representations, we analyze the model across medical image analysis tasks including disease classification and organ segmentation on both 2D and 3D images, and under different settings like kNN, few-shot learning, linear-probing, end-to-end fine-tuning, and parameter-efficient fine-tuning.
1 code implementation • 18 Jan 2022 • Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
In this work, we develop a physics-informed neural network-based temperature field inversion (PINN-TFI) method to solve the TFI-HSS task and a coefficient matrix condition number based position selection of observations (CMCN-PSO) method to select optima positions of noise observations.
1 code implementation • ICCV 2021 • Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years.
1 code implementation • IJCNLP 2019 • Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretič, Samuel R. Bowman
We conclude that a variety of methods is necessary to reveal all relevant aspects of a model's grammatical knowledge in a given domain.
1 code implementation • 21 Sep 2022 • Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang
In FNeVR, we design a 3D Face Volume Rendering (FVR) module to enhance the facial details for image rendering.
1 code implementation • 17 Aug 2023 • Ziyin Zhang, Ning Lu, Minghui Liao, Yongshuai Huang, Cheng Li, Min Wang, Wei Peng
It incorporates a framewise regularization term in CTC loss to emphasize individual supervision, and leverages the maximizing-a-posteriori of latent alignment to solve the inconsistency problem that arises in distillation between CTC-based models.
3 code implementations • 12 Oct 2020 • Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Dazhen Wan, Wei Peng, Minlie Huang
In this paper, we introduce MultiWOZ 2. 3, in which we differentiate incorrect annotations in dialogue acts from dialogue states, identifying a lack of co-reference when publishing the updated dataset.
4 code implementations • TACL 2020 • Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLiMP), a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English.
2 code implementations • ICCV 2019 • Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao
The method includes two parts: 1) a Spatio-Temporal Video Enhancement Network (STVEN) for video enhancement, and 2) an rPPG network (rPPGNet) for rPPG signal recovery.
Heart rate estimation Photoplethysmography (PPG) heart rate estimation +2
1 code implementation • 11 Nov 2019 • Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao
Human action recognition from skeleton data, fueled by the Graph Convolutional Network (GCN), has attracted lots of attention, due to its powerful capability of modeling non-Euclidean structure data.
2 code implementations • 12 Jan 2021 • Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synonym hierarchies, possessing hierarchical structure.
1 code implementation • 9 Jul 2021 • Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
Physics Informed Neural Network (PINN) is a scientific computing framework used to solve both forward and inverse problems modeled by Partial Differential Equations (PDEs).
2 code implementations • ACL 2021 • Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, Minlie Huang
Most language understanding models in task-oriented dialog systems are trained on a small amount of annotated training data, and evaluated in a small set from the same distribution.
1 code implementation • 15 Dec 2022 • Wei Peng, Ehsan Adeli, Tomas Bosschieter, Sang Hyun Park, Qingyu Zhao, Kilian M. Pohl
As acquiring MRIs is expensive, neuroscience studies struggle to attain a sufficient number of them for properly training deep learning models.
2 code implementations • 27 Jul 2023 • Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
We have implemented these models in a generalisable fashion, illustrating that their results can be extended to 2D or 3D scenarios, including medical images with different modalities (like CT, MRI, and X-Ray data) and from different anatomical areas.