no code implementations • 5 May 2024 • Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu
Leveraging large language models for machine translation has demonstrated promising results.
no code implementations • 19 Apr 2024 • Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu
To address this challenge, DEEPEN maps the probability distribution of each model from the probability space to a universe relative space based on the relative representation theory, and performs aggregation.
1 code implementation • 29 Mar 2024 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Tinglong Zhu, Changhe Song, Rongjie Huang, Ziyang Ma, Qian Chen, Shiliang Zhang, Xihao Li
This paper introduces 3D-Speaker-Toolkit, an open source toolkit for multi-modal speaker verification and diarization.
1 code implementation • 7 Mar 2024 • Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang
To solve this issue, we first introduce negative seed entities in the inputs, which belong to the same fine-grained semantic class as the positive seed entities but differ in certain attributes.
no code implementations • 22 Feb 2024 • Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Kam-Fai Wong, Ruifeng Xu
Large language models (LLMs) have achieved remarkable progress in many natural language processing tasks.
no code implementations • 22 Feb 2024 • Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu
Reinforcement Learning from Human Feedback (RLHF) is commonly utilized to improve the alignment of Large Language Models (LLMs) with human preferences.
no code implementations • 16 Jan 2024 • Ji Huang, Hui Wang
This allows the model to adaptively fuse feature maps from different levels and effectively integrate feature information from different scales.
no code implementations • Conference 2024 • Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu
The approach of Reinforcement Learning from Human Feedback (RLHF) is widely used for enhancing pre-trained Language Models (LM), enabling them to better align with human preferences.
no code implementations • 5 Jan 2024 • Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng
Additionally, the paper summarizes the challenges and presents a perspective on the future development direction of foundation model systems.
no code implementations • 1 Jan 2024 • Jinglong Luo, Yehong Zhang, JiaQi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
However, the application of SMPC in Privacy-Preserving Inference (PPI) for large language models, particularly those based on the Transformer architecture, often leads to considerable slowdowns or declines in performance.
no code implementations • 30 Dec 2023 • Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang
In the local feature aggregation stage, we introduce a shift convolution to realize the interaction between local spatial information and channel information.
no code implementations • 19 Dec 2023 • Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
In the rapidly growing digital economy, protecting intellectual property (IP) associated with digital products has become increasingly important.
no code implementations • 10 Dec 2023 • Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai
This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts.
no code implementations • 8 Dec 2023 • Hui Wang, Anh Dang, Zihao Wu, Son Mac
The advancements in Generative Artificial Intelligence (GenAI) technologies such as ChatGPT provide opportunities to enrich educational experiences, but also raise concerns about academic integrity if misused.
no code implementations • 24 Oct 2023 • Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu
The technique of Reinforcement Learning from Human Feedback (RLHF) is a commonly employed method to improve pre-trained Language Models (LM), enhancing their ability to conform to human preferences.
no code implementations • 19 Sep 2023 • Luyao Cheng, Siqi Zheng, Qinglin Zhang, Hui Wang, Yafeng Chen, Qian Chen, Shiliang Zhang
Speaker diarization has gained considerable attention within speech processing research community.
1 code implementation • 9 Sep 2023 • Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang
Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare.
no code implementations • 31 Aug 2023 • Hui Wang, Shiwan Zhao, Xiguang Zheng, Yong Qin
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech.
no code implementations • 7 Aug 2023 • Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao
Therefore, in this article, we present the concept of an intelligence-endogenous management platform for CNCs called \emph{CNC brain} based on artificial intelligence technologies.
1 code implementation • 5 Aug 2023 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang
It assigns representation of augmented views of utterances to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.
no code implementations • 4 Aug 2023 • Xin Mu, Yu Wang, Yehong Zhang, JiaQi Zhang, Hui Wang, Yang Xiang, Yue Yu
Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e. g., understanding where the model comes from, how it is trained, and how it is used).
no code implementations • 5 Jul 2023 • Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
Federated learning is a decentralized and privacy-preserving technique that enables multiple clients to collaborate with a server to learn a global model without exposing their private data.
1 code implementation • 27 Jun 2023 • Siqi Zheng, Luyao Cheng, Yafeng Chen, Hui Wang, Qian Chen
Disentangling uncorrelated information in speech utterances is a crucial research topic within speech community.
no code implementations • Neurocomputing 2023 • Hanqing Liu, Jiacheng Yang, Chia-Hao Chang, Wei Wang, Hai-Tao Zheng, Yong Jiang, Hui Wang, Rui Xie, and Wei Wu
Moreover, the existing method of alleviating error accumulation based on replacing reference words does not take into account the different effects of each word.
Ranked #20 on Visual Storytelling on VIST
no code implementations • 26 Jun 2023 • Jinglong Luo, Yehong Zhang, JiaQi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
In contrast to existing studies that protect the data privacy of GPR via homomorphic encryption, differential privacy, or federated learning, our proposed method is more practical and can be used to preserve the data privacy of both the model inputs and outputs for various data-sharing scenarios (e. g., horizontally/vertically-partitioned data).
no code implementations • 22 May 2023 • Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen, Qian Chen
In this paper, we propose methods to extract speaker-related information from semantic content in multi-party meetings, which, as we will show, can further benefit speaker diarization.
2 code implementations • 22 May 2023 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Jiajun Qi
This paper proposes a novel architecture called Enhanced Res2Net (ERes2Net), which incorporates both local and global feature fusion techniques to improve the performance.
no code implementations • IET computer vision 2023 • Ruizheng Su, Xiongwen Pang, Hui Wang
To address the problem of the statistical heterogeneity in image analysis, PCCFED, a personalised federated learning method utilizing the strategy of parameter decoupling is proposed.
no code implementations • 26 Feb 2023 • Hui Wang, Abdallah Saffidine, Tristan Cazenave
First, a nesting of the tree search inspired by the Nested Monte Carlo Search algorithm is effective on most instance types in the benchmark.
no code implementations • 16 Feb 2023 • Xi Chen, Hui Wang, Jinqiao Duan
We consider the dynamics of a receptor binding to a ligand on the cell membrane, where the receptor and ligand perform different motions and are thus modeled by stochastic differential equations with Gaussian noise or non-Gaussian noise.
no code implementations • 13 Feb 2023 • Hui Wang, Yueyang Li, Haichi Luo
By eliminating unnecessary features and reconstructing the semantic relations among discriminative features, our SFI-Net has achieved satisfying performance.
1 code implementation • 13 Dec 2022 • Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang
To achieve this goal, in this paper, we propose Robust Split Federated Learning (RoS-FL) for U-shaped medical image networks, which is a novel hybrid learning paradigm of FL and SL.
no code implementations • 12 Dec 2022 • Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao
Numerical cases of Beijing Metro Line 9 verify the efficiency and effectiveness of our proposed model, and results show that: (1) when occurring a disruption event during peak hours, the impact on the normal timetable is greater, and passengers in the direction with fewer train services are more affected; (2) if passengers stranded at the terminal stations of disruption area are not transported in time, they will rapidly increase at a speed of more than 300 passengers per minute; (3) compared with the fixed shortest path, using the response vehicles reduces the total travel time about 7%.
1 code implementation • 8 Nov 2022 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen
A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.
no code implementations • 8 Sep 2022 • Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li
However, with wide applications of deep learning in robotic arms, there are new challenges such as the allocation of grasping computing power and the growing demand for security.
1 code implementation • 23 Jun 2022 • Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.
Ranked #1 on Conditional Image Generation on ImageNet 256x256
no code implementations • 22 Jun 2022 • Yunpeng Zhang, Zhengyou Wang, Shanna Zhuang, Hui Wang
Gait recognition, which can realize long-distance and contactless identification, is an important biometric technology.
1 code implementation • 14 Jun 2022 • Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ranging from 3D structure prediction to various function predictions.
no code implementations • 10 Jun 2022 • Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen
Relevant recommendation is a special recommendation scenario which provides relevant items when users express interests on one target item (e. g., click, like and purchase).
no code implementations • 26 May 2022 • Dun Zeng, Shiyu Liu, Siqi Liang, Zonghang Li, Hui Wang, Irwin King, Zenglin Xu
However, privacy information could be leaked from uploaded gradients and be exposed to malicious attackers or an honest-but-curious server.
1 code implementation • 19 May 2022 • Jiahui Wang, Zhenyou Wang, Shanna Zhuang, Hui Wang
Temporal convolutions have been the paradigm of choice in action segmentation, which enhances long-term receptive fields by increasing convolution layers.
Ranked #5 on Action Segmentation on Breakfast
no code implementations • 29 Apr 2022 • Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang
It is a time-aware, event-aware and task-adaptive method with the following advantages: 1) modeling heterogeneous information and temporal information in a unified way and considering temporal irregular characteristics locally and globally respectively, 2) taking full advantage of correlations among different types of events via cross-event attention.
no code implementations • 7 Apr 2022 • Yutian Wang, Yuankun Xie, Kun Zhao, Hui Wang, Qin Zhang
In this paper, we propose a novel prosody disentangle method for prosodic Text-to-Speech (TTS) model, which introduces the vector quantization (VQ) method to the auxiliary prosody encoder to obtain the decomposed prosody representations in an unsupervised manner.
no code implementations • 2 Apr 2022 • Hui Wang, Yong Wang, Wan-Lei Zhao
For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.
1 code implementation • 25 Jan 2022 • Zhe Lin, Zike Yuan, Jieru Zhao, Wei zhang, Hui Wang, Yonghong Tian
Specifically, in the graph construction flow, we introduce buffer insertion, datapath merging, graph trimming and feature annotation techniques to transform HLS designs into graph-structured data, which encode both intra-operation micro-architectures and inter-operation interconnects annotated with switching activities.
1 code implementation • 25 Jan 2022 • Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.
no code implementations • 10 Nov 2021 • Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
In recent years, neural systems have demonstrated highly effective learning ability and superior perception intelligence.
1 code implementation • CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 • Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang
In this paper, NN-Descent has been redesigned to adapt to the GPU architecture.
no code implementations • 26 Oct 2021 • Wei Liu, K. T. Chau, Hui Wang, Tengbo Yang
This paper proposes and implements a meter-range wireless motor drive (WMD) system for promising applications of underground pipeline transportations or in-pipe robots.
1 code implementation • 13 Oct 2021 • Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.
no code implementations • 5 Sep 2021 • Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng
After that, the second stage is applied to further suppress the residual noise components and estimate the clean phase by a complex spectral mapping network, which is a pure complex-valued network composed of complex 2D convolution/deconvolution and complex temporal-frequency attention blocks.
1 code implementation • 24 Jul 2021 • Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
Federated learning (FL) is a machine learning field in which researchers try to facilitate model learning process among multiparty without violating privacy protection regulations.
no code implementations • 28 Jun 2021 • Hui Wang, Hanbin Zhao, Xi Li
In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes.
no code implementations • 12 Jun 2021 • Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-$N$ recommender systems, called \emph{HIN-based recommendation}.
no code implementations • 5 Jun 2021 • Hui Wang, Zongsheng Yue, Qian Zhao, Deyu Meng
Under this framework, the posterior of the latent clean image and blur kernel can be jointly estimated in an amortized inference fashion with DNNs, and the involved inference DNNs can be trained by fully considering the physical blur model, together with the supervision of data driven priors for the clean image and blur kernel, which is naturally led to by the evidence lower bound objective.
no code implementations • 13 May 2021 • Hui Wang, Mike Preuss, Aske Plaat
AlphaZero has achieved impressive performance in deep reinforcement learning by utilizing an architecture that combines search and training of a neural network in self-play.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang
In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.
4 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on Reading Comprehension (One-Shot) on DuReader
Cloze (multi-choices) (Few-Shot) Cloze (multi-choices) (One-Shot) +19
1 code implementation • 29 Mar 2021 • Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng
NN-Descent was proposed as an effective solution for the graph construction problem.
no code implementations • 4 Mar 2021 • Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li
Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning.
1 code implementation • 3 Nov 2020 • Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.
1 code implementation • 3 Oct 2020 • Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang
In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints.
Edge-computing Networking and Internet Architecture
no code implementations • 19 Aug 2020 • Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
Most of the existing CRS methods focus on learning effective preference representations for users from conversation data alone.
2 code implementations • 18 Aug 2020 • Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
To tackle this problem, we propose the model S^3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.
no code implementations • 4 Aug 2020 • Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li
To cope with the forgetting problem, many CIL methods transfer the knowledge of old classes by preserving some exemplar samples into the size-constrained memory buffer.
no code implementations • 24 Jul 2020 • Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network.
no code implementations • 14 Jun 2020 • Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
A later algorithm, Nested Rollout Policy Adaptation, was able to find a new record of 82 steps, albeit with large computational resources.
2 code implementations • 21 May 2020 • Ruiyang Ren, Zhao-Yang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
Recently, deep learning has made significant progress in the task of sequential recommendation.
no code implementations • 26 Apr 2020 • Hui Wang, Mike Preuss, Aske Plaat
Recently, AlphaZero has achieved landmark results in deep reinforcement learning, by providing a single self-play architecture that learned three different games at super human level.
1 code implementation • CVPR 2020 • Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang
Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts.
Ranked #12 on Visual Dialog on VisDial v0.9 val
no code implementations • 12 Mar 2020 • Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
A secondary result of our experiments concerns the choice of optimization goals, for which we also provide recommendations.
no code implementations • 8 Jan 2020 • Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang
Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace.
no code implementations • 1 Jan 2020 • Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song
Accurate identification and localization of the vertebrae in CT scans is a critical and standard preprocessing step for clinical spinal diagnosis and treatment.
no code implementations • 9 Sep 2019 • Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang
As $(\mathbf{h},\mathbf{r},\mathbf{t})$ is learned from the existing facts within a knowledge graph, these representations can not be used to detect unknown facts (if the entities or relations never occur in the knowledge graph).
1 code implementation • 2 Aug 2019 • Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo
Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.
no code implementations • 2 Jul 2019 • Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang
Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years.
1 code implementation • 30 May 2019 • Zhengui Xue, Zhiwei Lin, Hui Wang, Sally McClean
Existing studies are insufficient in assessing the overall consensus of a ranking set.
1 code implementation • 19 Mar 2019 • Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Therefore, in this paper, we choose 12 parameters in AlphaZero and evaluate how these parameters contribute to training.
no code implementations • 18 Feb 2019 • Raymond Bond, Ansgar Koene, Alan Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong
Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many monitoring, inspection, and surveillance tasks.
1 code implementation • 14 Oct 2018 • Hui Wang, Michael Emmerich, Aske Plaat
For small games, simple classical table-based Q-learning might still be the algorithm of choice.
no code implementations • 9 Oct 2018 • Xiujun Cheng, Hui Wang, Xiao Wang, Jinqiao Duan, Xiaofan Li
We especially examine those most probable trajectories from low concentration state to high concentration state (i. e., the likely transcription regime) for certain parameters, in order to gain insights into the transcription processes and the tipping time for the transcription likely to occur.
no code implementations • 6 Aug 2018 • Bin Chen, Wei Guo, Bin Li, Rober K. F. Teng, Mingjun Dai, Jianping Luo, Hui Wang
An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG).
no code implementations • 20 Jun 2018 • Ivo Düntsch, Günther Gediga, Hui Wang
In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability.
no code implementations • 17 May 2018 • Xin Wei, Hui Wang, Bryan Scotney, Huan Wan
Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years.
no code implementations • 9 Apr 2018 • Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo
On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.
2 code implementations • 16 Feb 2018 • Hui Wang, Michael Emmerich, Aske Plaat
GGP problems can be solved by reinforcement learning.
no code implementations • CIKM 2017 • Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang
However, the prior work only attends to the sentiment information and ignores the aspect-related information in the text, which may cause mismatching between the sentiment words and the aspects when an unrelated sentiment word is semantically meaningful for the given aspect.
no code implementations • SEMEVAL 2017 • Sheng Zhang, Jiajun Cheng, Hui Wang, Xin Zhang, Pei Li, Zhaoyun Ding
We describes deep neural networks frameworks in this paper to address the community question answering (cQA) ranking task (SemEval-2017 task 3).
no code implementations • 19 May 2017 • Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
We formulate the SST prediction problem as a time series regression problem.
1 code implementation • 15 Sep 2016 • Zhiwei Lin, Hui Wang, Cees H. Elzinga
Preference orderings are orderings of a set of items according to the preferences (of judges).
no code implementations • 11 Aug 2016 • Lun Liu, Hui Wang, Chunyang Wu
Given the size of modern cities in the urbanising age, it is beyond the perceptual capacity of most people to develop a good knowledge about the beauty and ugliness of the city at every street corner.
BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction
no code implementations • 29 Apr 2015 • Prashanti Manda, Fiona McCarthy, Bindu Nanduri, Hui Wang, Susan M. Bridges
Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not kept pace with the growth of annotation data.