no code implementations • COLING 2022 • Lisung Chen, Nuo Chen, Yuexian Zou, Yong Wang, Xinzhong Sun
Furthermore, we propose a threshold-free intent multi-intent classifier that utilizes the output of IND task and detects the multiple intents without depending on the threshold.
Ranked #3 on
Semantic Frame Parsing
on MixSNIPS
no code implementations • COLING 2022 • Yong Wang, Xinwei Geng
Non-autoregressive translation (NAT) models, which eliminate the sequential dependencies within the target sentence, have achieved remarkable inference speed, but suffer from inferior translation quality.
no code implementations • 7 Feb 2025 • Yijun Wang, Yong Wang, Chendong xu, Shuai Yao, Qisong Wu
Human Activity Recognition (HAR) such as fall detection has become increasingly critical due to the aging population, necessitating effective monitoring systems to prevent serious injuries and fatalities associated with falls.
no code implementations • 12 Jan 2025 • Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, LiWei Wang
Additionally, we characterized the scaling effect of using generated data which was as effective as the collected real-world data for training diagnostic models.
no code implementations • 16 Dec 2024 • Eric Yocam, Anthony Rizi, Mahesh Kamepalli, Varghese Vaidyan, Yong Wang, Gurcan Comert
As quantum computing continues to advance, the development of quantum-secure neural networks is crucial to prevent adversarial attacks.
1 code implementation • 11 Dec 2024 • Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao
To evaluate RepoSPD, we employ two widely-used datasets in security patch detection: SPI-DB and PatchDB.
1 code implementation • 5 Dec 2024 • Jiayu Liu, Yong Wang, Nianbin Wang, Jing Yang, Xiaohui Tao
Federated Learning (FL) is an innovative distributed machine learning paradigm that enables neural network training across devices without centralizing data.
no code implementations • 22 Nov 2024 • Dingyuan Shi, Yong Wang, Hangyu Li, Xiangxiang Chu
In this paper, we propose Denoised Distribution Estimation (DDE), a novel method for credit assignment.
1 code implementation • 21 Nov 2024 • Hailang Huang, Yong Wang, Zixuan Huang, Huaqiu Li, Tongwen Huang, Xiangxiang Chu, Richong Zhang
Furthermore, we introduce MMGenBench-Test, a comprehensive benchmark developed to evaluate LMMs across 13 distinct image patterns, and MMGenBench-Domain, targeting the performance evaluation of LMMs within the generative image domain.
1 code implementation • Proceedings of the 32nd ACM International Conference on Multimedia 2024 • Zhuoling Li, Yong Wang, Kaitong Li
Some recent methods address few-shot image classification by extracting semantic information from class names and devising mechanisms for aligning vision and semantics to integrate information from both modalities.
1 code implementation • 24 Oct 2024 • Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang
Moreover, to address data heterogeneity, we study the feature alignment under distributed concept drift, and find two factors that are crucial for feature alignment: the conditional distribution $P(Y|X)$ and the degree of data heterogeneity.
no code implementations • 18 Oct 2024 • Songheng Zhang, Lei Wang, Toby Jia-Jun Li, Qiaomu Shen, Yixin Cao, Yong Wang
It consists of two major modules: tabular data inference and expressive chart generation.
no code implementations • 13 Oct 2024 • Zhiguang Zhou, Haoxuan Wang, Zhengqing Zhao, Fengling Zheng, Yongheng Wang, Wei Chen, Yong Wang
We present four cases to illustrate how our knowledge-graph-based representation can model the detailed visual elements and semantic relations in charts, and further demonstrate how our approach can benefit downstream applications such as semantic-aware chart retrieval and chart question answering.
no code implementations • 19 Sep 2024 • Chen Liang, Zhifan Feng, Zihe Liu, Wenbin Jiang, Jinan Xu, Yufeng Chen, Yong Wang
Chain-of-thought prompting significantly boosts the reasoning ability of large language models but still faces three issues: hallucination problem, restricted interpretability, and uncontrollable generation.
no code implementations • 19 Sep 2024 • Ziang Guo, Xinhao Lin, Zakhar Yagudin, Artem Lykov, Yong Wang, Yanqiang Li, Dzmitry Tsetserukou
Multi-modal end-to-end autonomous driving has shown promising advancements in recent work.
1 code implementation • 30 Aug 2024 • Mingyuan Zhang, Zhicheng Zhang, Hao Wu, Yong Wang
We present flow matching for reaction coordinates (FMRC), a novel deep learning algorithm designed to identify optimal reaction coordinates (RC) in biomolecular reversible dynamics.
no code implementations • 27 Aug 2024 • Miao Ye, Hongwen Hu, Xiaoli Wang, Yuping Wang, Yong Wang, Wen Peng, Jihao Zheng
An agent is established for each controller, and a cooperation mechanism between multiple agents is designed to effectively optimize cross-domain multicast routing and ensure consistency and validity in the representation of network state information for cross-domain multicast routing decisions.
no code implementations • 23 Jul 2024 • Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, Qingli Zhu, Yong Wang, LiWei Wang
In the prospective external evaluation, our diagnostic model outperforms the average performance of nine radiologists by 33. 5% in specificity with the same sensitivity, improving their performance by providing predictions with an interpretable decision-making process.
no code implementations • 15 Jul 2024 • Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang
Efficient human pose estimation remains a hurdle, especially for whole-body pose estimation with numerous keypoints.
1 code implementation • CVPR 2024 • Yinglong Li, Hongyu Wu, Xiaogang Wang, Qingzhao Qin, Yijiao Zhao, Yong Wang, Aimin Hao
Our method can be used in medical prosthetic fabrication and the registration of deficient scanning data.
no code implementations • 31 May 2024 • Runsheng Yu, Yong Wang, Xiaoqi Jiao, Youzhi Zhang, James T. Kwok
To alleviate this problem, we investigate the use of intrinsic knowledge within the on-the-fly fine-tuning LLM to obtain relative qualities and help to refine the loss function.
1 code implementation • 21 May 2024 • Zhicheng Zhang, Yong Wang, Shaoqi Tan, Bowei Xia, Yujie Luo
Recently, Transformer-based models for long sequence time series forecasting have demonstrated promising results.
1 code implementation • 21 Apr 2024 • Sheng Yan, Mengyuan Liu, Yong Wang, Yang Liu, Chen Chen, Hong Liu
In this paper, we address the unexplored question of temporal sentence localization in human motions (TSLM), aiming to locate a target moment from a 3D human motion that semantically corresponds to a text query.
1 code implementation • 21 Mar 2024 • Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
Concept Bottleneck Models (CBMs), which break down the reasoning process into the input-to-concept mapping and the concept-to-label prediction, have garnered significant attention due to their remarkable interpretability achieved by the interpretable concept bottleneck.
1 code implementation • CVPR 2024 • Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song
Furthermore, the visualization of the merged model within the multi-task loss landscape reveals that MuDSC enables the merged model to reside in the overlapping segment, featuring a unified lower loss for each task.
no code implementations • 28 Feb 2024 • Wenjian Sun, Linying Pan, Jingyu Xu, Weixiang Wan, Yong Wang
Autonomous driving technology can improve traffic safety and reduce traffic accidents.
no code implementations • 24 Feb 2024 • Yong Wang, Yanlin Zhou, Huan Ji, Zheng He, Xinyu Shen
In recent years, the rapid development of high-precision map technology combined with artificial intelligence has ushered in a new development opportunity in the field of intelligent vehicles.
no code implementations • 23 Jan 2024 • Hong Zhou, Rui Zhang, Peifeng Lai, Chaoran Guo, Yong Wang, Zhida Sun, Junjie Li
Therefore, a visualization system is needed to assist ViT users in understanding its functionality.
no code implementations • 19 Jan 2024 • Yong Wang, Cheng Lu, Hailun Lian, Yan Zhao, Björn Schuller, Yuan Zong, Wenming Zheng
These segment-level patches are then encoded using a stack of Swin blocks, in which a local window Transformer is utilized to explore local inter-frame emotional information across frame patches of each segment patch.
1 code implementation • 10 Jan 2024 • Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang
To address these two challenges, we propose a diffusion-based refinement framework called DRPose, which refines the output of deterministic models by reverse diffusion and achieves more suitable multi-hypothesis prediction for the current pose benchmark by multi-step refinement with multiple noises.
no code implementations • 28 Nov 2023 • Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, KaiXuan Chen, Yong Wang, Mingli Song
Instead, we employ a proxy model to extract state features that are both discriminative (adaptive to the agent) and generally applicable (robust to agent noise).
1 code implementation • 11 Oct 2023 • Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang
To obtain demonstration examples with high-quality explanations, we propose a new explanation generation bootstrapping to iteratively refine generated explanations by considering the previous generation and template-based hint.
no code implementations • 26 Sep 2023 • Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
An ideal detection model is expected to achieve all three critical properties of (I) early detection, (II) good interpretability, and (III) versatility for various illicit activities.
no code implementations • 29 Aug 2023 • Hiroyuki Ootomo, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang
Data volumes have soared in recent years and the computational cost of an exhaustive exact nearest neighbor search is often prohibitive, necessitating the adoption of approximate techniques.
1 code implementation • 13 Aug 2023 • Yong Wang, Yanzhong Yao, Jiawei Guo, Zhiming Gao
The proposed methods not only significantly outperform the conventional PINN method in terms of computational efficiency and computational accuracy, but also compare favorably with the state-of-the-art methods in the recent literature.
1 code implementation • 10 Aug 2023 • Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Wenming Yang
Notably, our model achieves state-of-the-art performance on all action categories in the Human3. 6M dataset using detected 2D poses from CPN, and our code is available at: https://github. com/KHB1698/DC-GCT.
Ranked #32 on
3D Human Pose Estimation
on MPI-INF-3DHP
(AUC metric)
1 code implementation • 3 Jul 2023 • Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du
Given a limited labeling budget, active learning (AL) aims to sample the most informative instances from an unlabeled pool to acquire labels for subsequent model training.
no code implementations • 22 May 2023 • Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
Dynamic multi-objective optimisation (DMO) handles optimisation problems with multiple (often conflicting) objectives in varying environments.
no code implementations • IEEE Sensors Journal 2023 • Yong Wang
Target detection in use-case environments is a challenging task, which is influenced by complex and dynamic landscapes, illumination, and vibrations.
1 code implementation • 12 May 2023 • Jinqiang Li, Miao Ye, Linqiang Huang, Xiaofang Deng, Hongbing Qiu, Yong Wang
Second, a DRL-based data forwarding mechanism is designed in the knowledge plane.
no code implementations • 12 May 2023 • Hongwen Hu, Miao Ye, Chenwei Zhao, Qiuxiang Jiang, Yong Wang, Hongbing Qiu, Xiaofang Deng
To enable each agent to accurately understand the current network state and the status of multicast tree construction, the state space of each agent is designed based on the traffic and multicast tree status matrices, and the set of AP nodes in the network is used as the action space.
no code implementations • 13 Jan 2023 • Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
To detect fraud behaviors of malicious addresses in the early stage, we present Evolve Path Tracer, which consists of Evolve Path Encoder LSTM, Evolve Path Graph GCN, and Hierarchical Survival Predictor.
1 code implementation • 26 Dec 2022 • Miao Ye, Qinghao Zhang, Xingsi Xue, Yong Wang, Qiuxiang Jiang, Hongbing Qiu
Due to the issue that existing wireless sensor network (WSN)-based anomaly detection methods only consider and analyze temporal features, in this paper, a self-supervised learning-based anomaly node detection method based on an autoencoder is designed.
1 code implementation • CVPR 2023 • BoWen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects.
no code implementations • 12 Dec 2022 • Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He
This paper proposes reconstructing the binary adjacency matrix via tensor decomposition, and a traffic flow forecasting method is proposed.
no code implementations • 4 Dec 2022 • Feifei Wang, Yong Wang, Bing Li, Qidong Huang, Shaoqing Chen
With the deterioration of climate, the phenomenon of rain-induced flooding has become frequent.
no code implementations • 1 Nov 2022 • Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi
Gait recognition is widely used in diversified practical applications.
no code implementations • 24 Sep 2022 • Ling Cheng, Feida Zhu, Yong Wang, Huiwen Liu
% With the type-dependent selection strategy and global status vectors, our model can be applied to detect various illicit activities with strong interpretability.
1 code implementation • 31 Jul 2022 • Chenwei Zhao, Miao Ye, Xingsi Xue, Jianhui Lv, Qiuxiang Jiang, Yong Wang
Traditional multicast routing methods have some problems in constructing a multicast tree, such as limited access to network state information, poor adaptability to dynamic and complex changes in the network, and inflexible data forwarding.
no code implementations • 19 Apr 2022 • Haipeng Zeng, Xingbo Wang, Yong Wang, Aoyu Wu, Ting Chuen Pong, Huamin Qu
There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content.
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.
no code implementations • 19 Feb 2022 • Qinghao Zhang, Miao Ye, Hongbing Qiu, Yong Wang, Xiaofang Deng
Anomaly detection is widely used to distinguish system anomalies by analyzing the temporal and spatial features of wireless sensor network (WSN) data streams; it is one of critical technique that ensures the reliability of WSNs.
1 code implementation • 13 Jan 2022 • Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu
Natural language interfaces (NLIs) provide users with a convenient way to interactively analyze data through natural language queries.
1 code implementation • CVPR 2022 • BoWen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo
To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity.
Ranked #1 on
Image Generation
on CelebA 256x256
(FID metric)
no code implementations • 6 Oct 2021 • Cheng Xu, Weimin WANG, Shuai Liu, Yong Wang, Yuxiang Tang, Tianling Bian, Yanyu Yan, Qi She, Cheng Yang
In this paper, we show our solution to the Google Landmark Recognition 2021 Competition.
no code implementations • 7 Sep 2021 • Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu
However, those models do not consider the numerical properties of numbers and cannot perform robustly on numerical reasoning tasks (e. g., math word problems and measurement estimation).
no code implementations • 18 Jul 2021 • Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
Despite being a critical communication skill, grasping humor is challenging -- a successful use of humor requires a mixture of both engaging content build-up and an appropriate vocal delivery (e. g., pause).
no code implementations • 17 Jul 2021 • Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu
Much research focuses on modeling the complex intra- and inter-modal interactions between different communication channels.
1 code implementation • SEMEVAL 2021 • Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen
This paper presents our systems for the three Subtasks of SemEval Task4: Reading Comprehension of Abstract Meaning (ReCAM).
Ranked #1 on
Reading Comprehension
on ReCAM
(using extra training data)
2 code implementations • CVPR 2021 • Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen
In this paper, we rely on representative prototypes, the feature centroids of classes, to address the two issues for unsupervised domain adaptation.
Ranked #10 on
Semantic Segmentation
on GTAV-to-Cityscapes Labels
no code implementations • 13 Jan 2021 • Yong Wang
Based on our previous work on truly concurrent process algebras APTC, we use it to verify the security protocols.
Logic in Computer Science Cryptography and Security
no code implementations • 21 Dec 2020 • Yong Wang
In this paper, we classify affine Ricci solitons associated to canonical connections and Kobayashi-Nomizu connections and perturbed canonical connections and perturbed Kobayashi-Nomizu connections on three-dimensional Lorentzian Lie groups with some product structure.
Differential Geometry 53C40, 53C42
no code implementations • 20 Dec 2020 • Yutong Cai, Yong Wang
In this paper, we try to eliminate semantic ambiguity in skip connection operations by adding attention gates (AGs), and use attention mechanisms to combine local features with their corresponding global dependencies, explicitly model the dependencies between channels and use multi-scale predictive fusion to utilize global information at different scales.
no code implementations • 9 Dec 2020 • Jinwen Pan, Zhi Chen, Yong Wang, Roberto Horowitz
Starting from the first region, the feedforward control parameters are learned simultaneously with the low order plant model in the same region and then moves to the next region until all the regions are performed.
no code implementations • 22 Nov 2020 • Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
Two case studies and interviews with domain experts demonstrate the effectiveness of GNNLens in facilitating the understanding of GNN models and their errors.
no code implementations • EMNLP 2020 • Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu
Modern neural machine translation (NMT) models employ a large number of parameters, which leads to serious over-parameterization and typically causes the underutilization of computational resources.
no code implementations • 8 Aug 2020 • Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang
Fusing multi-modality medical images, such as MR and PET, can provide various anatomical or functional information about human body.
no code implementations • 4 Aug 2020 • Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu
Specifically, we model the relationship between students and questions using student interactions to construct the student-interaction-question network and further present a new GNN model, called R^2GCN, which intrinsically works for the heterogeneous networks, to achieve generalizable student performance prediction in interactive online question pools.
no code implementations • 30 Jul 2020 • Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu
The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning.
no code implementations • 27 Jul 2020 • Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang
These optimization problems usually have complex properties, such as non-convexity and NP-hardness, which may not be addressed by the traditional convex optimization-based solutions.
no code implementations • 19 Apr 2020 • Yong Wang, Qi Liu, Hongyu Zu, Xiao Liu, Ruichao Xie, Feng Wang
Pixel-wise operations between polarimetric images are important for processing polarization information.
1 code implementation • arXiv 2020 • Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang
In the occluded region, as depth and camera motion can provide more reliable motion estimation, they can be used to instruct unsupervised learning of optical flow.
1 code implementation • 22 Jan 2020 • Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, Huamin Qu
The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech.
2 code implementations • 22 Nov 2019 • Yong Wang, Long-Yue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu
The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each domain in a unified model.
no code implementations • 7 Sep 2019 • Meng Xia, Huan Wei, Min Xu, Leo Yu Ho Lo, Yong Wang, Rong Zhang, Huamin Qu
With increasing popularity in online learning, a surge of E-learning platforms have emerged to facilitate education opportunities for k-12 (from kindergarten to 12th grade) students and with this, a wealth of information on their learning logs are getting recorded.
no code implementations • 29 Jul 2019 • Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, Huamin Qu
Our visualization system features a channel coherence view and a sentence clustering view that together enable users to obtain a quick overview of emotion coherence and its temporal evolution.
no code implementations • 17 Jul 2019 • Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
Node-link diagrams are widely used to facilitate network explorations.
no code implementations • ACL 2019 • Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
Zero-shot translation, translating between language pairs on which a Neural Machine Translation (NMT) system has never been trained, is an emergent property when training the system in multilingual settings.
1 code implementation • 14 May 2019 • Dian Sheng, Yiheng Wei, Yuquan Chen, Yong Wang
This paper proposes a fractional order gradient method for the backward propagation of convolutional neural networks.
no code implementations • 30 Dec 2018 • Guangxu Zhu, Yong Wang, Kaibin Huang
To leverage the data and resources, a new machine learning paradigm, called edge learning, has emerged where learning algorithms are deployed at the edge for providing fast and intelligent services to mobile users.
2 code implementations • 29 Dec 2018 • Dan Wang, Mengqi Ji, Yong Wang, Haoqian Wang, Lu Fang
Inspired by the conditional integration idea in classical control society, we propose SPI-Optimizer, an integral-Separated PI controller based optimizer WITHOUT introducing extra hyperparameter.
no code implementations • 31 Oct 2018 • Yong Wang
Based on our previous work on algebraic laws for true concurrency, we design a structured parallel programming language for true concurrency called PPL.
Logic in Computer Science
no code implementations • EMNLP 2018 • Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li
We frame low-resource translation as a meta-learning problem, and we learn to adapt to low-resource languages based on multilingual high-resource language tasks.
Low Resource Neural Machine Translation
Low-Resource Neural Machine Translation
+4
no code implementations • 2 Aug 2018 • Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu
In this paper, we present a novel deep learning-based approach to evaluate the readability of graph layouts by directly using graph images.
no code implementations • 8 Jul 2018 • Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li
The key issue of few-shot learning is learning to generalize.
no code implementations • 23 Apr 2018 • Ding Lu, Yong Wang, Robert Laganiere, Xinbin Luo, Shan Fu
In this paper, we present a multi-scale Fully Convolutional Networks (MSP-RFCN) to robustly detect and classify human hands under various challenging conditions.
no code implementations • 30 Sep 2017 • Zhi-Zhong Liu, Yong Wang, Pei-Qiu Huang
Specifically, the former is devised to find a pair of individuals with the minimum vector angle, which means that these two individuals share the most similar search direction.
no code implementations • 20 May 2017 • Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training.
no code implementations • 18 Mar 2017 • Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system.
no code implementations • 6 Feb 2017 • Yong Wang, Ke Lu
Multi-camera tracking is quite different from single camera tracking, and it faces new technology and system architecture challenges.
no code implementations • 6 Feb 2017 • Zi Jian Yang, Yong Wang
With the advent of modern computer networks, fault diagnosis has been a focus of research activity.
no code implementations • 16 Jan 2017 • Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Na, Yong Wang, Yunpeng Wang
This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy.
no code implementations • 12 Feb 2015 • Jun He, Yong Wang, Yuren Zhou
Multi-objective optimisation is regarded as one of the most promising ways for dealing with constrained optimisation problems in evolutionary optimisation.
no code implementations • 23 Nov 2007 • Yong Wang, Bao-Gang Hu
In this work, we propose to assess classifiers in terms of normalized mutual information (NI), which is novel and well defined in a compact range for classifier evaluation.