1 code implementation • NAACL 2022 • Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li
Event extraction aims to identify an event and then extract the arguments participating in the event.
1 code implementation • EMNLP (ClinicalNLP) 2020 • Yifan Peng, SungWon Lee, Daniel C. Elton, Thomas Shen, Yu-Xing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald Summers, Zhiyong Lu
We then introduce an end-to-end approach based on the combination of rules and transformer-based methods to detect these abdominal lymph node mentions and classify their types from the MRI radiology reports.
1 code implementation • 30 Nov 2023 • Tengjin Weng, Yang shen, Zhidong Zhao, Zhiming Cheng, Shuai Wang
The training framework of the MPNN is constructed by a teacher-student architecture to learn segmentation from clean pixels and noisy pixels.
no code implementations • 20 Nov 2023 • Zhihan Yang, Zhiming Cheng, Tengjin Weng, Shucheng He, Yaqi Wang, Xin Ye, Shuai Wang
Specifically, we design a Patch Message Passing (PMP) module based on the Message Passing mechanism to establish global interaction for pathological semantic features and to exploit the subtle differences further between different diseases.
no code implementations • 17 Nov 2023 • Shuai Wang, Tengjin Weng, Jingyi Wang, Yang shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang
Medical image segmentation annotations exhibit variations among experts due to the ambiguous boundaries of segmented objects and backgrounds in medical images.
no code implementations • 14 Nov 2023 • Xinwei Li, Li Lin, Shuai Wang, Chen Qian
The first stage pre-trains the student model on a large number of filtered multi-modal datasets.
1 code implementation • 13 Nov 2023 • Zhenyu Ren, Guoliang Li, Chenqing Ji, Chao Yu, Shuai Wang, Rui Wang
In the proposed CASTER simulator, however, the training dataset can be simulated via existing videos.
no code implementations • 11 Nov 2023 • Xiang Feng, Chengkai Wang, Chengyu Wu, Yunxiang Li, Yongbo He, Shuai Wang, Yaiqi Wang
Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning.
no code implementations • 8 Nov 2023 • Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guide Zucoon, Benno Stein, Matthias Hagen, Martin Potthast
Recent advances in large language models have enabled the development of viable generative information retrieval systems.
no code implementations • 30 Oct 2023 • Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek
Federated learning (FL) has been recognized as a rapidly growing research area, where the model is trained over massively distributed clients under the orchestration of a parameter server (PS) without sharing clients' data.
no code implementations • 30 Oct 2023 • Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen
Our framework consists of two parts: (a) A fine-grained kernel sparsity schema with a sparsity granularity between structured pruning and unstructured pruning.
no code implementations • 14 Oct 2023 • Changqing Su, Zihan Lin, You Zhou, Shuai Wang, Yuhan Gao, Chenggang Yan, Bo Xiong
Moreover, by introducing the temporal continuity, our method shows the superior compression ratio on time series data of zebrafish blood vessels.
1 code implementation • 10 Oct 2023 • Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
We illustrate the insights that our framework can provide by studying over 3 popular LLMs with over 12 prompt adjustment strategies.
no code implementations • 29 Sep 2023 • Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu
Specifically, PORTIA splits the answers into multiple segments, aligns similar content across candidate answers, and then merges them back into a single prompt for evaluation by LLMs.
no code implementations • 28 Sep 2023 • Xun Lin, Wenzhong Tang, Shuai Wang, Zitong Yu, Yizhong Liu, Haoran Wang, Ying Fu, Alex Kot
Besides, we construct a dataset for Biomedical image Splicing (BioSp) detection, which consists of 1, 290 spliced images.
no code implementations • 27 Sep 2023 • Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu, Shuai Wang, Jixun Yao, Lei Xie, Mengxiao Bi
Third, the model is unable to effectively address the noise in the unvoiced segments, lowering the sound quality.
no code implementations • 25 Sep 2023 • Jianwei Yu, Hangting Chen, Yanyao Bian, Xiang Li, Yi Luo, Jinchuan Tian, Mengyang Liu, Jiayi Jiang, Shuai Wang
To address this issue, we introduce an automatic in-the-wild speech data preprocessing framework (AutoPrep) in this paper, which is designed to enhance speech quality, generate speaker labels, and produce transcriptions automatically.
no code implementations • 22 Sep 2023 • Shuai Wang, Jiayi Shen, Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
The variety and complexity of relations in multimedia data lead to Heterogeneous Information Networks (HINs).
no code implementations • 22 Sep 2023 • Pingyue Yue, Yixuan Li, Yue Li, Rui Zhang, Shuai Wang, Jianping An
Low Earth Orbit (LEO) satellites are being extensively researched in the development of secure Internet of Remote Things (IoRT).
1 code implementation • 21 Sep 2023 • Shuai Wang, Qibing Bai, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, Haizhou Li
Current speaker recognition systems primarily rely on supervised approaches, constrained by the scale of labeled datasets.
no code implementations • 21 Sep 2023 • Shuai Wang, Eric Nalisnick
We apply active learning to help with data scarcity problems in sign languages.
1 code implementation • 14 Sep 2023 • Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.
no code implementations • 12 Sep 2023 • Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, Shuai Wang
Nevertheless, we find that DNN executables contain extensive, severe (e. g., single-bit flip), and transferrable attack surfaces that are not present in high-level DNN models and can be exploited to deplete full model intelligence and control output labels.
1 code implementation • 11 Sep 2023 • Shuai Wang, Harrisen Scells, Martin Potthast, Bevan Koopman, Guido Zuccon
Our best approach is not only viable based on the information available at the time of screening, but also has similar effectiveness to the final title.
no code implementations • 11 Sep 2023 • Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
Based on the decision procedure to CIR, CICheck includes two variants: ED-CICheck and ED-CICheck, which detect erroneous CI tests (to enhance reliability) and prune excessive CI tests (to enhance privacy), respectively.
no code implementations • 9 Sep 2023 • Menghao Hu, Tong Zhang, Shuai Wang, Guoliang Li, Yingyang Chen, Qiang Li, Gaojie Chen
Terrestrial robots, i. e., unmanned ground vehicles (UGVs), and aerial robots, i. e., unmanned aerial vehicles (UAVs), operate in separate spaces.
1 code implementation • 31 Aug 2023 • Jinkai Zheng, Xinchen Liu, Shuai Wang, Lihao Wang, Chenggang Yan, Wu Liu
Furthermore, due to the lack of suitable datasets, we build the first parsing-based dataset for gait recognition in the wild, named Gait3D-Parsing, by extending the large-scale and challenging Gait3D dataset.
no code implementations • 31 Aug 2023 • Shuai Wang, Zhen Wang, Yuan-Hai Shao
Furthermore, we propose some different memory impact functions for the MIMM and WIMM.
1 code implementation • ICCV 2023 • Shuai Wang, Yao Teng, LiMin Wang
To be more specific to object decoding, we use a two-step unrolled equilibrium equation to explicitly capture the query vector refinement.
no code implementations • 5 Jul 2023 • Wenxuan Chen, Sirui Wu, Shuai Wang, Zhongsen Li, Jia Yang, Huifeng Yao, Xiaolei Song
Multi-contrast magnetic resonance imaging (MRI) reflects information about human tissue from different perspectives and has many clinical applications.
1 code implementation • 28 Jun 2023 • Wei-Bin Kou, Shuai Wang, Guangxu Zhu, Bin Luo, Yingxian Chen, Derrick Wing Kwan Ng, Yik-Chung Wu
While federated learning (FL) improves the generalization of end-to-end autonomous driving by model aggregation, the conventional single-hop FL (SFL) suffers from slow convergence rate due to long-range communications among vehicles and cloud server.
no code implementations • 27 Jun 2023 • Shuai Wang, Chengdong Liang, Xu Xiang, Bing Han, Zhengyang Chen, Hongji Wang, Wen Ding
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge.
no code implementations • 21 Jun 2023 • Hao Xu, Jia Liu, Yang shen, Kenan Lou, Yanxia Bao, Ruihua Zhang, Shuyue Zhou, Hongsen Zhao, Shuai Wang
However, by analyzing the statistical characteristic of activated units after pooling, we found that a large number of units dropped by sorting pooling are negative-value units that contain useful information and can contribute considerably to the final decision.
1 code implementation • 15 Jun 2023 • Zhaoyu Wang, Pingchuan Ma, Shuai Wang
Federated learning can solve this problem, but existing solutions for federated causal structure learning make unrealistic assumptions about data and lack convergence guarantees.
1 code implementation • 11 Jun 2023 • Yuanyuan Yuan, Shuai Wang, Zhendong Su
We identify two key properties, independence and continuity, that convert the latent space into a precise and analysis-friendly input space representation for certification.
no code implementations • 5 Jun 2023 • Tengjin Weng, Yang shen, Kai Jin, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang, Yaqi Wang
Specifically, we use points to annotate fluid regions in unlabeled OCT images and the Superpixel-Guided Pseudo-Label Generation (SGPLG) module generates pseudo-labels and pixel-level label trust maps from the point annotations.
no code implementations • 22 May 2023 • Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
This paper uses causality analysis as a principled method for analyzing trade-offs between fairness parameters and other crucial metrics in ML pipelines.
no code implementations • 22 May 2023 • Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
We experiment with 6 diverse datasets and show that PLM consistently performs better than most other approaches (0. 5 - 2. 5 F1), including in novel settings for taxonomy expansion not considered in prior work.
no code implementations • 21 May 2023 • Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu, Jixun Yao, Shuai Wang, Lei Xie, Mengxiao Bi
Voice conversion is an increasingly popular technology, and the growing number of real-time applications requires models with streaming conversion capabilities.
no code implementations • 19 May 2023 • Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
1 code implementation • NeurIPS 2023 • Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
For computer vision tasks, mainstream pixel-based XAI methods explain DNN decisions by identifying important pixels, and emerging concept-based XAI explore forming explanations with concepts (e. g., a head in an image).
no code implementations • 16 May 2023 • Xintao Zhao, Shuai Wang, Yang Chao, Zhiyong Wu, Helen Meng
Experimental results show that our proposed method achieves comparable similarity and higher naturalness than the supervised method, which needs a huge amount of annotated corpora for training and is applicable to improve similarity for VC methods with other SSL representations as input.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
no code implementations • 13 May 2023 • Shuai Wang, Zipei Yan, Daoan Zhang, Zhongsen Li, Sirui Wu, Wenxuan Chen, Rui Li
In contrast, the IID hypothesis is not universally guaranteed in numerous real-world applications, especially in medical image analysis.
no code implementations • 13 May 2023 • Shuai Wang, Daoan Zhang, Zipei Yan, Shitong Shao, Rui Li
In Stage \uppercase\expandafter{\romannumeral1}, we train the target model from scratch with soft pseudo-labels generated by the source model in a knowledge distillation manner.
1 code implementation • 4 May 2023 • Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang
Moreover, we propose a novel on-the-fly (OTF) repairing scheme that repairs unethical suggestions made by LLMs in real-time.
no code implementations • 29 Apr 2023 • Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Hang Su, Chenguang Yang, Kai Huang, Alois Knoll
On MuJoCo and Meta-World benchmarks, MoSS outperforms prior works in terms of asymptotic performance, sample efficiency (3-50x faster), adaptation efficiency, and generalization robustness on broad and diverse task distributions.
1 code implementation • 26 Apr 2023 • Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, Kevin Zhou
Based on this insight, we propose an approach called DiffuseExpand for expanding datasets for 2D medical image segmentation using DPM, which first samples a variety of masks from Gaussian noise to ensure the diversity, and then synthesizes images to ensure the alignment of images and masks.
1 code implementation • ICCV 2023 • Haochen Wang, Cilin Yan, Shuai Wang, XiaoLong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves
Video Instance Segmentation (VIS) aims at segmenting and categorizing objects in videos from a closed set of training categories, lacking the generalization ability to handle novel categories in real-world videos.
no code implementations • 2 Apr 2023 • Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
In brief, an IQuery is an abstraction and automation of data analysis operations, which mimics the approach of data analysts and simplifies the exploration process for users.
no code implementations • 21 Mar 2023 • Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews.
Natural Language Inference
Unsupervised Opinion Summarization
1 code implementation • CVPR 2023 • Shuai Wang, Daoan Zhang, Zipei Yan, JianGuo Zhang, Rui Li
Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples.
1 code implementation • 17 Mar 2023 • Shuai Wang, Zipei Yan, Daoan Zhang, Haining Wei, Zhongsen Li, Rui Li
Specifically, our ProtoKD can not only distillate the pixel-wise knowledge of multi-modality data to single-modality data but also transfer intra-class and inter-class feature variations, such that the student model could learn more robust feature representation from the teacher model and inference with only one single modality data.
no code implementations • 7 Mar 2023 • Shuai Wang, Daoan Zhang, JianGuo Zhang, Weiwei Zhang, Rui Li
In this paper, considering the balance of data/model privacy of model owners and user needs, we propose a new setting called Back-Propagated Black-Box Adaptation (BPBA) for users to better train their private models via the guidance of the back-propagated results of a Black-box foundation/source model.
no code implementations • 23 Feb 2023 • Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Temporal concept drift refers to the problem of data changing over time.
no code implementations • 3 Feb 2023 • Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
The ability of ChatGPT to follow complex instructions and generate queries with high precision makes it a valuable tool for researchers conducting systematic reviews, particularly for rapid reviews where time is a constraint and often trading-off higher precision for lower recall is acceptable.
no code implementations • 8 Jan 2023 • Shuai Wang, ChiYung Yam, Shuguang Chen, Lihong Hu, Liping Li, Faan-Fung Hung, Jiaqi Fan, Chi-Ming Che, Guanhua Chen
Here, we develop a general protocol for accurate predictions of emission wavelength, radiative decay rate constant, and PL quantum yield for phosphorescent Pt(II) emitters based on the combination of first-principles quantum mechanical method, machine learning (ML) and experimental calibration.
no code implementations • 19 Dec 2022 • Yuxiang Zhang, Zhenbo Liu, Shuai Wang
The execution efficiency of the one-stage scene graph generation approaches are quite high, which infer the effective relation between entity pairs using sparse proposal sets and a few queries.
1 code implementation • 18 Dec 2022 • Shuai Wang, Hang Li, Guido Zuccon
One challenge to creating an effective systematic review Boolean query is the selection of effective MeSH Terms to include in the query.
no code implementations • 18 Dec 2022 • Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
An empirical analysis compares how effective neural methods compare to traditional methods for this task.
no code implementations • 11 Dec 2022 • Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao wu
To be specific, we design a neural network-based data augmentation module with priori bias, which assists in finding what meets the teacher's strengths but the student's weaknesses, by learning magnitudes and probabilities to generate suitable data samples.
no code implementations • 3 Dec 2022 • Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
In this paper, we firstly reveal the fact that the federated ADMM is essentially a client-variance-reduced algorithm.
no code implementations • 26 Oct 2022 • Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li
This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of state-action permissibility (SAP).
no code implementations • 18 Oct 2022 • Xinrao Li, Tong Zhang, Shuai Wang, Guangxu Zhu, Rui Wang, Tsung-Hui Chang
However, wireless channels between the edge server and the autonomous vehicles are time-varying due to the high-mobility of vehicles.
1 code implementation • 12 Oct 2022 • Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term, and sentiment polarity.
no code implementations • 11 Oct 2022 • Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
The standard classification setting where categories are fixed during both training and testing falls short in dynamic environments where new document categories could potentially emerge.
no code implementations • 3 Oct 2022 • Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma
BTD takes DNN executables and outputs full model specifications, including types of DNN operators, network topology, dimensions, and parameters that are (nearly) identical to those of the input models.
no code implementations • 2 Oct 2022 • Zhongsen Li, Aiqi Sun, Chuyu Liu, Haining Wei, Shuai Wang, Mingzhu Fu, Rui Li
The main objective of this study is to accelerate the PS model, shorten the time required for acquisition and reconstruction, and maintain good image quality simultaneously.
1 code implementation • 19 Sep 2022 • Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
However, identifying the correct MeSH terms to include in a query is difficult: information experts are often unfamiliar with the MeSH database and unsure about the appropriateness of MeSH terms for a query.
no code implementations • 6 Sep 2022 • Yuxiang Zhang, Mengmeng Zhang, Wei Li, Shuai Wang, Ran Tao
Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image classification (HSI) tasks.
no code implementations • 16 Aug 2022 • Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo
Integrated sensing and communication (ISAC) represents a paradigm shift, where previously competing wireless transmissions are jointly designed to operate in harmony via the shared use of the hardware platform for improving the spectral and energy efficiencies.
no code implementations • 9 Aug 2022 • Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
In this paper, we propose a deep learning framework to predict missing scans from acquired scans, catering to longitudinal infant studies.
no code implementations • 26 Jul 2022 • Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight is a three-module, end-to-end pipeline designed to extract causal graphs, translate causal primitives into XDA semantics, and quantify the quantitative contribution of each explanation to a data fact.
no code implementations • 16 Jul 2022 • Dongjiang Cao, Ruofeng Liu, Hao Li, Shuai Wang, Wenchao Jiang, Chris Xiaoxuan Lu
Human identification is a key requirement for many applications in everyday life, such as personalized services, automatic surveillance, continuous authentication, and contact tracing during pandemics, etc.
no code implementations • 6 Jul 2022 • Qingya Li, Xiangzhi Liu, Fuqiang Wang, Shuai Wang, Peng Zhang, Xiaoming Wu
In this paper, a novel framework based on generational and environmental response strategies (FGERS) is proposed, in which response strategies are run both in the environmental change stage and the environmental static stage to obtain population evolution information of those both stages.
no code implementations • 4 Jul 2022 • Danpeng Chen, Shuai Wang, Weijian Xie, Shangjin Zhai, Nan Wang, Hujun Bao, Guofeng Zhang
Even if the plane parameters are involved in the optimization, we effectively simplify the back-end map by using planar structures.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2022 • Yuxiang Zhang, Wei Li, Mengmeng Zhang, Shuai Wang, Ran Tao, Qian Du
The IDE-block is used to characterize and aggregate the intradomain nonlocal relationships and the interdomain feature and distribution similarities are captured in the CSA-block.
1 code implementation • 3 Jun 2022 • Shuai Wang, Chengyang Li, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor, Qi Hao, Chengzhong Xu
However, it is challenging to determine the network resources and road sensor placements for multi-stage training with multi-modal datasets in multi-variant scenarios.
1 code implementation • 24 May 2022 • Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
In contrast to prior work, our proposed protocols improve the dimension dependence and achieve a tight statistical rate in terms of all the parameters for strongly convex losses.
no code implementations • 30 Apr 2022 • Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
In this paper we consider the problem of combining the relevance signals from sparse and dense retrievers in the context of Pseudo Relevance Feedback (PRF).
no code implementations • 28 Apr 2022 • Zongze Li, Shuai Wang, Qingfeng Lin, Yang Li, Miaowen Wen, Yik-Chung Wu, H. Vincent Poor
Reconfigurable intelligent surfaces (RISs) have a revolutionary capability to customize the radio propagation environment for wireless networks.
no code implementations • 26 Apr 2022 • Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi
Specifically, we show that, by guaranteeing $(\epsilon, \delta)$-DP for each client per communication round, the proposed algorithm guarantees $(\mathcal{O}(q\epsilon \sqrt{p T}), \delta)$-DP after $T$ communication rounds while maintaining an $\mathcal{O}(1/\sqrt{pTQ})$ convergence rate for a convex and non-smooth learning problem, where $Q$ is the number of local SGD steps, $p$ is the client sampling probability, $q=\max_{i} q_i/\sqrt{1-q_i}$ and $q_i$ is the data sampling probability of each client under PCP.
1 code implementation • 6 Apr 2022 • Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon
However, we show pseudo seed studies are not representative of real seed studies used by information specialists.
no code implementations • 1 Apr 2022 • Shanfeng Huang, Zezhong Zhang, Shuai Wang, Rui Wang, Kaibin Huang
In this paper, a novel topology-optimized federated edge learning (TOFEL) scheme is proposed to tackle the heterogeneity issue in federated learning and to improve the communication-and-computation efficiency.
no code implementations • 26 Mar 2022 • Shuai Wang, Rui Li
Disentangled representation is a powerful technique to tackle domain shift problem in medical image analysis in unsupervised domain adaptation setting. However, previous methods only focus on exacting domain-invariant feature and ignore whether exacted feature is meaningful for downstream tasks. We propose a novel framework, called semantic-guided disentangled representation (SGDR), an effective method to exact semantically meaningful feature for segmentation task to improve performance of cross modality medical image segmentation in unsupervised domain adaptation setting.
no code implementations • 8 Mar 2022 • Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang
For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.
no code implementations • 9 Jan 2022 • Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress.
1 code implementation • 8 Jan 2022 • Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng
Vertical federated learning (VFL) system has recently become prominent as a concept to process data distributed across many individual sources without the need to centralize it.
1 code implementation • 9 Dec 2021 • Yuanyuan Yuan, Qi Pang, Shuai Wang
Recent advances in representation learning and perceptual learning inspired us to consider the reconstruction of media inputs from side channel traces as a cross-modality manifold learning task that can be addressed in a unified manner with an autoencoder framework trained to learn the mapping between media inputs and side channel observations.
1 code implementation • 8 Dec 2021 • Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon
Our results also indicate that our reproduced screening prioritisation method, (1) is generalisable across datasets of similar and different topicality compared to the original implementation, (2) that when using multiple seed studies, the effectiveness of the method increases using our techniques to enable this, (3) and that the use of multiple seed studies produces more stable rankings compared to single seed studies.
no code implementations • 6 Dec 2021 • Qi Pang, Yuanyuan Yuan, Shuai Wang
During fuzzing, MDPFuzz decides which mutated state to retain by measuring if it can reduce cumulative rewards or form a new state sequence.
1 code implementation • 3 Dec 2021 • Yuanyuan Yuan, Qi Pang, Shuai Wang
We demonstrate that NLC is significantly correlated with the diversity of a test suite across a number of tasks (classification and generation) and data formats (image and text).
no code implementations • 3 Dec 2021 • Yuanyuan Yuan, Qi Pang, Shuai Wang
In contrast, we discuss the feasibility of mutating real-world media data with provably high DIV and VAL based on manifold.
no code implementations • Nature Reviews Earth & Environment 2021 • Changjia Li, Bojie Fu, Shuai Wang, Lindsay C. Stringer, Yaping Wang, Zidong Li, Yanxu Liu, WenXin Zhou
These drylands are at risk of desertification.
no code implementations • 28 Oct 2021 • Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang
To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.
no code implementations • 23 Oct 2021 • Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian
To deal with the large shape variation and unclear boundary of OARs in CT images, we represent the organ shape using an organ-specific unilateral inverse-distance map (UIDM) and guide the segmentation task from two different perspectives: direct shape guidance by following the segmentation prediction and across shape guidance by sharing the segmentation feature.
1 code implementation • 30 Sep 2021 • Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang
In this paper, we propose a novel end-to-end U-Net like Group Transformer Network (GT U-Net) for the tooth root segmentation.
no code implementations • 29 Sep 2021 • Lun Wang, Qi Pang, Shuai Wang, Dawn Song
In this paper, we propose the first secure federated $\chi^2$-test protocol, FED-$\chi^2$.
no code implementations • 29 Sep 2021 • Lun Wang, Qi Pang, Shuai Wang, Dawn Song
In the present work, we propose a federated learning protocol with bi-directional security guarantees.
1 code implementation • 23 Sep 2021 • Dan Li, Shuai Wang, Jie Zou, Chang Tian, Elisha Nieuwburg, Fengyuan Sun, Evangelos Kanoulas
We create abenchmark for Paint4Poem: we train two representative text-to-image generation models: AttnGAN and MirrorGAN, and evaluate theirperformance regarding painting pictorial quality, painting stylistic relevance, and semantic relevance between poems and paintings. The results indicate that the models are able to generate paintings that have good pictorial quality and mimic Feng Zikai's style, but thereflection of poem semantics is limited.
no code implementations • 31 Aug 2021 • Shuai Wang, Dachuan Li, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng
Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications.
no code implementations • 24 Jul 2021 • Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Caijun Zhong, Shuguang Cui
Building on the analytical result, an optimized probabilistic scheduling policy is derived in closed-form by solving the approximate communication time minimization problem.
no code implementations • 20 Jul 2021 • Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang
Conventionally, the sensing and communication stages are executed sequentially, which results in excessive amount of dataset generation and uploading time.
no code implementations • 20 Jul 2021 • Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Xiaohui Peng, Tony Xiao Han, Chengzhong Xu
Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human motion recognition.
1 code implementation • ACL 2021 • Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li
Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions.
1 code implementation • CVPR 2021 • Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen
MetaVQA checks whether the answer to (i, q) satisfies metamorphic relationships (MRs), denoting perception consistency, with the composed answers of transformed questions and images.
no code implementations • Findings (ACL) 2021 • Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan, Smaranda Muresan
Detecting what emotions are expressed in text is a well-studied problem in natural language processing.
no code implementations • 31 May 2021 • Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
The teacher model is composed of a heterogeneous graph structure for warm users and items with privileged CF links.
no code implementations • 24 May 2021 • Hao Zhao, Fei Ji, Quansheng Guan, Qiang Li, Shuai Wang, Hefeng Dong, Miaowen Wen
In summary, the proposed ARC/FML for OoT is a promising scheme for information exchange across water and air.
1 code implementation • 2 May 2021 • Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang
Accurate evaluation of the treatment result on X-ray images is a significant and challenging step in root canal therapy since the incorrect interpretation of the therapy results will hamper timely follow-up which is crucial to the patients' treatment outcome.
no code implementations • 27 Apr 2021 • Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao
Our method consists of two modules, KG-based learning enhancement and multi-claim semantic composition.
no code implementations • 21 Apr 2021 • Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han
Although wireless channel models can be adopted for dataset generation, current channel models are mostly designed for communication rather than sensing.
no code implementations • EMNLP 2021 • Emily Allaway, Shuai Wang, Miguel Ballesteros
Relating entities and events in text is a key component of natural language understanding.
coreference-resolution
Cross Document Coreference Resolution
+1
no code implementations • 7 Mar 2021 • Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun
As the most economical and routine auxiliary examination in the diagnosis of root canal treatment, oral X-ray has been widely used by stomatologists.
1 code implementation • 5 Mar 2021 • Zijian Zhang, Shuai Wang, Yuncong Hong, Liangkai Zhou, Qi Hao
The technology of dynamic map fusion among networked vehicles has been developed to enlarge sensing ranges and improve sensing accuracies for individual vehicles.
1 code implementation • 28 Jan 2021 • Shuai Wang, Yuncong Hong, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng
Simulation results show that the proposed UMAirComp framework with PAM algorithm achieves a smaller mean square error of model parameters' estimation, training loss, and test error compared with other benchmark schemes.
no code implementations • 3 Jan 2021 • Tong Zhang, Yinfei Xu, Shuai Wang, Miaowen Wen, Rui Wang
This paper studies the problem of sum-secure degrees of freedom (SDoF) of the (M, M, N, N) multiple-input multiple-output (MIMO) interference channel with local output feedback, so as to build an information-theoretic foundation and provide practical transmission schemes for 6G-enabled vehicles-to-vehicles (V2V).
Information Theory Information Theory
2 code implementations • ICLR 2021 • Yuanyuan Yuan, Shuai Wang, Junping Zhang
Given the ever-growing adoption of machine learning as a service (MLaaS), image analysis software on cloud platforms has been exploited by reconstructing private user images from system side channels.
no code implementations • 1 Jan 2021 • Lun Wang, Qi Pang, Shuai Wang, Dawn Song
In this paper, we present F^2ed-Learning, the first federated learning protocol simultaneously defending against both semi-honest server and Byzantine malicious clients.
no code implementations • ICCV 2021 • Shuai Wang, Hao Sheng, Yang Zhang, Yubin Wu, Zhang Xiong
Based on this framework, a Recurrent Tracking Unit (RTU) is designed to score potential tracks through long-term information.
no code implementations • 25 Dec 2020 • Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised rethinking on the evolution of wireless networks.
no code implementations • 21 Dec 2020 • Pingchuan Ma, Shuai Wang
Envisioning the general difficulty for text-to-SQL models to preserve prediction consistency against linguistic and schema variations, we propose MT-Teql, a Metamorphic Testing-based framework for systematically evaluating and augmenting the consistency of TExt-to-SQL models.
no code implementations • 14 Dec 2020 • Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang
Rehearsal, seeking to remind the model by storing old knowledge in lifelong learning, is one of the most effective ways to mitigate catastrophic forgetting, i. e., biased forgetting of previous knowledge when moving to new tasks.
no code implementations • COLING 2020 • Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li
After each sentiment classification task is learned, its knowledge is retained to help future task learning.
1 code implementation • 11 Nov 2020 • Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun
Moreover, massive data collection is impractical for a newly emerged disease, which limited the performance of data thirsty deep learning models.
no code implementations • 29 Oct 2020 • Liangkai Zhou, Yuncong Hong, Shuai Wang, Ruihua Han, Dachuan Li, Rui Wang, Qi Hao
Edge intelligence is an emerging network architecture that integrates sensing, communication, computing components, and supports various machine learning applications, where a fundamental communication question is: how to allocate the limited wireless resources (such as time, energy) to the simultaneous model training of heterogeneous learning tasks?
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
Classifying and resolving coreferences of objects (e. g., product names) and attributes (e. g., product aspects) in opinionated reviews is crucial for improving the opinion mining performance.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
(2) Capturing the long-range dependency, specifically, the connection between an event trigger and a distant event argument.
no code implementations • 2 Oct 2020 • Lun Wang, Qi Pang, Shuai Wang, Dawn Song
At one end of the spectrum, some work uses secure aggregation techniques to hide the individual client's updates and only reveal the aggregated global update to a malicious server that strives to infer the clients' privacy from their updates.
no code implementations • 7 Sep 2020 • Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu
However, different devices may transmit different data for different machine learning jobs and a fundamental question is how to jointly plan the UGV path, the devices' energy consumption, and the number of samples for different jobs?
no code implementations • 21 Jul 2020 • Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Vincent Poor
While machine-type communication (MTC) devices generate massive data, they often cannot process this data due to limited energy and computation power.
1 code implementation • ACL 2020 • Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li, Jun Xie
Event Detection (ED) is a fundamental task in automatically structuring texts.
no code implementations • Findings (ACL) 2021 • Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
We refer to this problem as domain polarity-changes of words.
no code implementations • 21 Apr 2020 • Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang
Secondly, we propose ProbTagging, a new training method for extremely imbalanced data sets, where the number of unlabeled samples is hundreds or thousands of times that of positive samples.
no code implementations • EMNLP 2020 • Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan
In this paper, we propose a neural architecture and a set of training methods for ordering events by predicting temporal relations.
no code implementations • 18 Mar 2020 • Shuai Wang, Fan Lyu, Wei Feng, Song Wang
In this paper, we argue that for REC the referring expression and the target region are semantically correlated and subject, location and relationship consistency exist between vision and language. On top of this, we propose a novel approach called MutAtt to construct mutual guidance between vision and language, which treat vision and language equally thus yield compact information matching.
1 code implementation • CVPR 2020 • Qi Chen, Qi Wu, Rui Tang, Yu-Han Wang, Shuai Wang, Mingkui Tan
To this end, we propose a House Plan Generative Model (HPGM) that first translates the language input to a structural graph representation and then predicts the layout of rooms with a Graph Conditioned Layout Prediction Network (GC LPN) and generates the interior texture with a Language Conditioned Texture GAN (LCT-GAN).
no code implementations • 12 Feb 2020 • Shuai Wang, Tsung-Hui Chang
Recent demands on data privacy have called for federated learning (FL) as a new distributed learning paradigm in massive and heterogeneous networks.
no code implementations • 19 Dec 2019 • Shuai Wang, Zhendong Su
To fill this critical gap, we introduce the design and realization of MetaOD, the first metamorphic testing system for object detectors to effectively reveal erroneous detection results by commercial object detectors.
no code implementations • 12 Nov 2019 • Shuai Wang, Yik-Chung Wu, Minghua Xia, Rui Wang, H. Vincent Poor
However, power allocation in this paradigm requires maximizing the learning performance instead of the communication throughput, for which the celebrated water-filling and max-min fairness algorithms become inefficient.
no code implementations • 30 Oct 2019 • Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour
Traditional approaches to building natural language (NL) interfaces typically use a semantic parser to parse the user command and convert it to a logical form, which is then translated to an executable action in an application.
1 code implementation • 19 Oct 2019 • Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rohdin
This paper describes the systems developed by the BUT team for the four tracks of the second DIHARD speech diarization challenge.
no code implementations • 16 Oct 2019 • Hossein Zeinali, Shuai Wang, Anna Silnova, Pavel Matějka, Oldřich Plchot
The last two networks are one-dimensional CNN and are based on the x-vector extraction topology.
no code implementations • WS 2019 • Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
Dialogue systems are increasingly using knowledge bases (KBs) storing real-world facts to help generate quality responses.
no code implementations • 18 Jun 2019 • Xu Xiang, Shuai Wang, Houjun Huang, Yanmin Qian, Kai Yu
The proposed approach can achieve the state-of-the-art performance, with 25% ~ 30% equal error rate (EER) reduction on both tasks when compared to strong baselines using cross entropy loss with softmax, obtaining 2. 238% EER on VoxCeleb1 test set and 2. 761% EER on SITW core-core test set, respectively.
no code implementations • 8 Jun 2019 • Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang
That is, it is possible to improve the NB classifier for a task by improving its model parameters directly by using the retained knowledge from other tasks.
1 code implementation • 3 Jun 2019 • Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang
We then apply a non-convex penalty (NCP) approach to add them to the objective as penalty terms, leading to a problem that is efficiently solvable.
no code implementations • NeurIPS 2018 • Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu
In distributed machine learning (DML), the network performance between machines significantly impacts the speed of iterative training.
no code implementations • 27 Sep 2018 • Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li, Yongbing Huang
This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of \textit{state-action permissibility} (SAP).
no code implementations • ACL 2018 • Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
In MNs, attention mechanism plays a crucial role in detecting the sentiment context for the given target.
no code implementations • 16 Feb 2018 • Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
Stage one extracts/groups the target-related words (call t-words) for a given target.
1 code implementation • 24 Jan 2018 • Lei Zhang, Shuai Wang, Bing Liu
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results.
no code implementations • 18 Jan 2018 • Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu
While existing machine learning models have achieved great success for sentiment classification, they typically do not explicitly capture sentiment-oriented word interaction, which can lead to poor results for fine-grained analysis at the snippet level (a phrase or sentence).
no code implementations • 5 Jan 2016 • Pei Wang, Shuai Wang, Jiang Ming, Yufei Jiang, Dinghao Wu
We introduce translingual obfuscation, a new software obfuscation scheme which makes programs obscure by "misusing" the unique features of certain programming languages.
Cryptography and Security Software Engineering