no code implementations • 8 Feb 2025 • Zijiang Yan, Jianhua Pei, Hongda Wu, Hina Tabassum, Ping Wang
This paper proposes a novel framework for real-time adaptive-bitrate video streaming by integrating latent diffusion models (LDMs) within the FFmpeg techniques.
no code implementations • 14 Jan 2025 • Zijiang Yan, Hao Zhou, Jianhua Pei, Aryan Kaushik, Hina Tabassum, Ping Wang
Efficient resource allocation is essential for optimizing various tasks in wireless networks, which are usually formulated as generalized assignment problems (GAP).
no code implementations • 6 Jan 2025 • Jianhua Pei, Ping Wang, Jingyu Wang, Dongyuan Shi
The proposed approach employs an encoder-decoder architecture to estimate unknown control input variables, a robust encoder to mitigate the impact of bad PMU data, and latent diffusion model to address communication issues in centralized DSE.
no code implementations • 18 Dec 2024 • Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert
A key feature of the multi-label setting is that images often have several labels, which typically refer to objects appearing in different regions of the image.
no code implementations • 18 Nov 2024 • Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang
The investigation of both traditional machine learning methods and state-of-the-art LLMs showed the best performance of GPT-3. 5 and BERT on this new dataset.
no code implementations • 14 Nov 2024 • Farnaz Niknia, Ping Wang
To address this, we develop a mechanism that detects changes in content popularity and request rates, ensuring timely adjustments to the caching strategy.
no code implementations • 11 Nov 2024 • Yang Zhao, Yue Xiu, Minrui Xu, Ping Wang, Ning Wei
Federated learning (FL) in wireless computing effectively utilizes communication bandwidth, yet it is vulnerable to errors during the analog aggregation process.
no code implementations • 11 Nov 2024 • Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian Wang, Wenyi Yu, Ping Wang, Jun Wang
However, such MOE-based method typically employs all experts for each instance, leading to scalability issue and low-discriminability between domains and experts.
1 code implementation • 19 Oct 2024 • Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian
Glitch tokens in Large Language Models (LLMs) can trigger unpredictable behaviors, threatening model reliability and safety.
2 code implementations • 1 Oct 2024 • Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, Hai Zhao
In this paper, we propose a novel approach effectively utilizing audio-related image information and set up VHASR, a multimodal speech recognition system that uses vision as hotwords to strengthen the model's speech recognition capability.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
1 code implementation • 6 Sep 2024 • Xiangke Zeng, Zuchao Li, Lefei Zhang, Ping Wang, Hongqiu Wu, Hai Zhao
Our detector is designed to yield two error detection results, each characterized by high precision and recall.
no code implementations • 2 Aug 2024 • Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan Huang, Wenyi Yu, Ping Wang, Xiu Li, Jun Wang
As the recommendation service needs to address increasingly diverse distributions, such as multi-population, multi-scenario, multitarget, and multi-interest, more and more recent works have focused on multi-distribution modeling and achieved great progress.
1 code implementation • 25 Jul 2024 • Zihui Wu, Haichang Gao, Jianping He, Ping Wang
Large language models (LLMs) have demonstrated remarkable capabilities, but their power comes with significant security considerations.
no code implementations • 18 Jul 2024 • Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang, Dusit Niyato
Notably, the weight-aware strategy significantly reduces the training time of DRL while achieving better results, enabling a single DRL model to solve the entire multiobjective optimization problem.
1 code implementation • 16 Jul 2024 • Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan
Transformers have achieved the state-of-the-art performance on solving the inverse problem of Snapshot Compressive Imaging (SCI) for video, whose ill-posedness is rooted in the mixed degradation of spatial masking and temporal aliasing.
1 code implementation • 11 Jul 2024 • Minghui Wu, Chenxu Zhao, Anyang Su, Donglin Di, Tianyu Fu, Da An, Min He, Ya Gao, Meng Ma, Kun Yan, Ping Wang
Along with the dataset, we designed a Hypergraph Multi-modal Large Language Model (HMLLM) to explore the associations among different demographics, video elements, EEG, and eye-tracking indicators.
1 code implementation • 9 Jul 2024 • Qiwei Li, Zuchao Li, Ping Wang, Haojun Ai, Hai Zhao
We build a novel hypergraph attention document semantic entity recognition framework, HGA, which uses hypergraph attention to focus on entity boundaries and entity categories at the same time.
1 code implementation • 22 Jun 2024 • Jiajia Li, Lu Yang, Mingni Tang, Cong Chen, Zuchao Li, Ping Wang, Hai Zhao
By leveraging ZIQI-Eval, we conduct a comprehensive evaluation over 16 LLMs to evaluate and analyze LLMs' performance in the domain of music.
1 code implementation • 9 Jun 2024 • Jianhua Pei, Cheng Feng, Ping Wang, Hina Tabassum, Dongyuan Shi
Deep learning (DL)-based Semantic Communications (SemCom) is becoming critical to maximize overall efficiency of communication networks.
no code implementations • 15 May 2024 • Jingwen Yang, Ping Wang, Fatemeh Golpayegani, Shen Wang
Variable speed limit (VSL) control is an established yet challenging problem to improve freeway traffic mobility and alleviate bottlenecks by customizing speed limits at proper locations based on traffic conditions.
1 code implementation • ICCV 2023 • Ping Wang, Lishun Wang, Xin Yuan
We believe this is a milestone for real-world video SCI.
1 code implementation • CVPR 2024 • Gang Qu, Ping Wang, Xin Yuan
In this paper, we propose a deep unfolding network with hybrid-attention Transformer on Kronecker SPI model, dubbed HATNet, to improve the imaging quality of real SPI cameras.
1 code implementation • CVPR 2024 • Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu
SCI is a cost-effective method that enables the recording of high-dimensional data, such as hyperspectral or temporal information, into a single image using low-cost 2D imaging sensors.
1 code implementation • 12 Mar 2024 • Tianshuo Peng, Zuchao Li, Lefei Zhang, Hai Zhao, Ping Wang, Bo Du
Large Language Models (LLMs), benefiting from the auto-regressive modelling approach performed on massive unannotated texts corpora, demonstrates powerful perceptual and reasoning capabilities.
Ranked #89 on
Visual Question Answering
on MM-Vet
no code implementations • 12 Mar 2024 • Chunfeng Zhang, Ping Wang
In this paper, we present a vehicle re-identification method based on flock similarity, which improves the accuracy of vehicle re-identification by utilizing vehicle information adjacent to the target vehicle.
no code implementations • 8 Feb 2024 • Farnaz Niknia, Ping Wang, Zixu Wang, Aakash Agarwal, Adib S. Rezaei
This paper tackles the growing issue of excessive data transmission in networks.
no code implementations • 14 Dec 2023 • Liqi He, Zuchao Li, Xiantao Cai, Ping Wang
Overall, our approach offers a more robust and effective solution for multi-modal reasoning in language models, enhancing their ability to tackle complex real-world problems.
2 code implementations • 13 Dec 2023 • Jinhao Tian, Zuchao Li, Jiajia Li, Ping Wang
Experiment on various datasets demonstrate the effectiveness of our method and achieved state-of-the-art performance on a series of music understanding downstream tasks.
1 code implementation • 13 Dec 2023 • Tianshuo Peng, Zuchao Li, Ping Wang, Lefei Zhang, Hai Zhao
However, previous methods still have certain limitations: (i) They ignore the difference in the focus of visual information between different analysis targets (aspect or sentiment).
no code implementations • 7 Dec 2023 • Jianhua Pei, Jingyu Wang, Dongyuan Shi, Ping Wang
Power system cyber-physical uncertainties, including measurement ambiguities stemming from cyber attacks and data losses, along with system uncertainties introduced by massive renewables and complex dynamics, reduce the likelihood of enhancing the quality of measurements.
1 code implementation • 30 Nov 2023 • Shitou Zhang, Zuchao Li, Xingshen Liu, Liming Yang, Ping Wang
In response to this need, this paper introduces ArcMMLU, a specialized benchmark tailored for the Library & Information Science (LIS) domain in Chinese.
no code implementations • 16 Nov 2023 • Hongda Wu, Ping Wang, C V Aswartha Narayana
Federated Learning (FL) enables many resource-limited devices to train a model collaboratively without data sharing.
1 code implementation • 20 Oct 2023 • Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng
A fundamental limitation of object detectors is that they suffer from "spatial bias", and in particular perform less satisfactorily when detecting objects near image borders.
no code implementations • 15 Oct 2023 • Zhongxiang Wei, Ping Wang, Qingjiang Shi, Xu Zhu, Christos Masouros
This requires multistage optimization for full resource domain dynamic programming.
no code implementations • 23 Sep 2023 • Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu
Recently, there has been a surge of interest and attention in Transformer-based structures, such as Vision Transformer (ViT) and Vision Multilayer Perceptron (VMLP).
1 code implementation • 27 Jul 2023 • Shitou Zhang, Jingrui Hou, Siyuan Peng, Zuchao Li, Qibiao Hu, Ping Wang
Ultimately, ArcGPT aims to better serve the archival community, aiding archivists in their crucial role of preserving and harnessing our collective information and knowledge.
no code implementations • 11 Jul 2023 • Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang
Due to shortage of water resources and increasing water demands, the joint operation of multireservoir systems for balancing power generation, ecological protection, and the residential water supply has become a critical issue in hydropower management.
no code implementations • 24 May 2023 • Zihui Wu, Haichang Gao, Bingqian Zhou, Ping Wang
To tackle this problem, we propose a simple but effective strategy called Adversarial Function Matching (AdvFunMatch), which aims to match distributions for all data points within the $\ell_p$-norm ball of the training data, in accordance with consistent teaching.
1 code implementation • CVPR 2023 • Kun Yan, Xiao Li, Fangyun Wei, Jinglu Wang, Chenbin Zhang, Ping Wang, Yan Lu
The underlying idea is to generate pseudo labels for unlabeled frames during training and to optimize the model on the combination of labeled and pseudo-labeled data.
no code implementations • 6 Jan 2023 • Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li
Conformal prediction is a learning framework controlling prediction coverage of prediction sets, which can be built on any learning algorithm for point prediction.
2 code implementations • 1 Oct 2022 • Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang
This framework integrates engineering dynamics and deep learning technologies and may reveal a new concept for CDEs solving and uncertainty propagation.
no code implementations • 17 Aug 2022 • Xukun Luo, Ping Wang
Relation Extraction (RE) refers to extracting the relation triples in the input text.
no code implementations • 26 Apr 2022 • Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang
ED Explorer consists of an interactive web application, an API, and an NLP toolkit, which can help both domain experts and non-experts to better understand the ED task.
1 code implementation • 12 Apr 2022 • Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, WangMeng Zuo, Ming-Ming Cheng
Combining these two new components, for the first time, we show that logit mimicking can outperform feature imitation and the absence of localization distillation is a critical reason for why logit mimicking underperforms for years.
1 code implementation • 10 Apr 2022 • Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
In this work, we propose a Multi-label Time-series GAN (MTGAN) to generate EHR and simultaneously improve the quality of uncommon disease generation.
no code implementations • 16 Mar 2022 • Hongda Wu, Ali Nasehzadeh, Ping Wang
In this work, we propose a DRL-based caching scheme that improves the cache hit rate and reduces energy consumption of the IoT networks, in the meanwhile, taking data freshness and limited lifetime of IoT data into account.
no code implementations • 4 Feb 2022 • Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers
Unsupervised pre-training has been proven as an effective approach to boost various downstream tasks given limited labeled data.
no code implementations • 4 Jan 2022 • Jiajia Li, Lu Yang, Letian Peng, Shitou Zhang, Ping Wang, Zuchao Li, Hai Zhao
In recent years, machine learning - particularly deep learning - has significantly impacted the field of information management.
no code implementations • 2 Dec 2021 • Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert
A key feature of the multi-label setting is that images often have multiple labels, which typically refer to different regions of the image.
no code implementations • 1 Aug 2021 • Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
On the other hand, the aspects, entity and context, limit the answers by node-specific information and lead to higher precision and lower recall.
Knowledge Base Question Answering
Machine Reading Comprehension
no code implementations • 31 Jul 2021 • Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang
Deep learning based image classification models are shown vulnerable to adversarial attacks by injecting deliberately crafted noises to clean images.
1 code implementation • NeurIPS 2021 • Jizong Peng, Ping Wang, Chrisitian Desrosiers, Marco Pedersoli
Pre-training a recognition model with contrastive learning on a large dataset of unlabeled data has shown great potential to boost the performance of a downstream task, e. g., image classification.
no code implementations • 12 Jul 2021 • Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by clinicians, for instance, containing holes or disconnected regions.
no code implementations • 30 May 2021 • Hao Cheng, Ping Wang, Chun Qi
As important data carriers, the drastically increasing number of multimedia videos often brings many duplicate and near-duplicate videos in the top results of search.
no code implementations • 28 May 2021 • Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen
Autonomous Vehicles (AVs) are required to operate safely and efficiently in dynamic environments.
no code implementations • 21 May 2021 • Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
While the use of class names has already been explored in previous work, our approach differs in two key aspects.
1 code implementation • 14 May 2021 • Hongda Wu, Ping Wang
In this paper, we proposed Optimal Aggregation algorithm for better aggregation, which finds out the optimal subset of local updates of participating nodes in each global round, by identifying and excluding the adverse local updates via checking the relationship between the local gradient and the global gradient.
no code implementations • 18 Apr 2021 • Jia Wang, Ping Wang, Biao Li, Ruigang Fu, Junzheng Wu
The Discriminative Optimization (DO) algorithm has been proved much successful in 3D point cloud registration.
3 code implementations • 1 Mar 2021 • Renbo Zhu, Meng Ma, Ping Wang
Entity alignment (EA) is the task to discover entities referring to the same real-world object from different knowledge graphs (KGs), which is the most crucial step in integrating multi-source KGs.
no code implementations • 24 Feb 2021 • Yibo Wang, Siqi Jiang, Jingkuan Xiao, Xiaofan Cai, Di Zhang, Ping Wang, Guodong Ma, Yaqing Han, Jiabei Huang, Kenji Watanabe, Takashi Taniguchi, Alexander S. Mayorov, Geliang Yu
Van der Waals (vdW) assembly of two-dimensional materials has been long recognized as a powerful tool to create unique systems with properties that cannot be found in natural compounds.
Mesoscale and Nanoscale Physics Materials Science
2 code implementations • CVPR 2022 • Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, WangMeng Zuo, Qibin Hou, Ming-Ming Cheng
Previous KD methods for object detection mostly focus on imitating deep features within the imitation regions instead of mimicking classification logit due to its inefficiency in distilling localization information and trivial improvement.
no code implementations • 11 Feb 2021 • Abdelrahman Taha, Qi Qu, Sam Alex, Ping Wang, William L. Abbott, Ahmed Alkhateeb
Accounting for the constraints on these systems, we develop a comprehensive framework for constructing accurate and high-resolution depth maps using mmWave systems.
no code implementations • 2 Feb 2021 • Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang
With different mode selection protocols, we characterize the success probability and ergodic capacity of a dual-hop relaying system with the hybrid relay in the field of randomly located ambient transmitters.
Information Theory Networking and Internet Architecture Information Theory
no code implementations • 1 Feb 2021 • Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
The aim of few-shot learning (FSL) is to learn how to recognize image categories from a small number of training examples.
no code implementations • 1 Dec 2020 • Hongda Wu, Ping Wang
With extensive experiments performed in Pytorch and PySyft, we show that FL training with FedAdp can reduce the number of communication rounds by up to 54. 1% on MNIST dataset and up to 45. 4% on FashionMNIST dataset, as compared to FedAvg algorithm.
no code implementations • COLING 2020 • Chen Lyu, Weijie Liu, Ping Wang
In this paper, we propose a new few-shot text classification method.
1 code implementation • 23 Nov 2020 • Jia Wang, Ping Wang, Biao Li, Yinghui Gao, Siyi Zhao
As the search space of registration is usually non-convex, the optimization algorithm, which aims to search the best transformation parameters, is a challenging step.
1 code implementation • 31 Oct 2020 • Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Moreover, to encourage predictions from different networks to be both consistent and confident, we enhance this generalized JSD loss with an uncertainty regularizer based on entropy.
no code implementations • 22 Sep 2020 • Ping Wang, Chong Chen, Renbao Liu
An intriguing question is: Can the quantum nature (quantumness) of sensors and targets be exploited to enable schemes that are not possible for classical probes or classical targets?
Quantum Physics
1 code implementation • 18 Sep 2020 • Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy
However, recent deep learning-based topic models, specifically aspect-based autoencoder, suffer from several problems, such as extracting noisy aspects and poorly mapping aspects discovered by models to the aspects of interest.
2 code implementations • 18 Sep 2020 • Tian Shi, Ping Wang, Chandan K. Reddy
In addition, we also propose an Attention-driven Keywords Ranking (AKR) method, which can automatically discover aspect keywords and aspect-level opinion keywords from the review corpus based on the attention weights.
no code implementations • 31 Aug 2020 • Xukun Luo, Weijie Liu, Meng Ma, Ping Wang
In this paper, inspired by the tree-like relation structures in the medical text, we propose a novel scheme called Bidirectional Tree Tagging (BiTT) to form the medical relation triples into two two binary trees and convert the trees into a word-level tags sequence.
Ranked #1 on
Relation Extraction
on DuIE
no code implementations • 11 Aug 2020 • Chong Chen, Ping Wang, Ren-Bao Liu
94, 047201 (2005)] on the critical behaviors of the noisy Ising model, which shows that the universality class of the quantum criticality is modified by the decoherence, we find that the standard quantum limit is recovered by the single-particle decoherence, which is equivalent to local quantum measurement conducted by the environment and destroys the many-body entanglement in the ground state at the quantum critical point.
Quantum Physics
1 code implementation • 22 Jul 2020 • Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
Representation learning methods for heterogeneous networks produce a low-dimensional vector embedding for each node that is typically fixed for all tasks involving the node.
no code implementations • 25 May 2020 • Mingyang Yang, Ping Wang
The electromagnetic form factors of octet baryons are investigated with the nonlocal chiral effective theory.
High Energy Physics - Phenomenology
6 code implementations • 7 May 2020 • Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, QinGhua Hu, WangMeng Zuo
In this paper, we propose Complete-IoU (CIoU) loss and Cluster-NMS for enhancing geometric factors in both bounding box regression and Non-Maximum Suppression (NMS), leading to notable gains of average precision (AP) and average recall (AR), without the sacrifice of inference efficiency.
1 code implementation • 24 Apr 2020 • Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
In this paper, we propose a corpus-level explanation approach, which aims to capture causal relationships between keywords and model predictions via learning the importance of keywords for predicted labels across a training corpus based on attention weights.
no code implementations • 14 Feb 2020 • Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han
For service bundles, the subscription fee and data sizes of the grouped IoT services are optimized to maximize the total profit of cooperative service providers.
no code implementations • 13 Dec 2019 • Yutao Jiao, Ping Wang, Dusit Niyato, Bin Lin, Dong In Kim
In this paper, we propose an auction based market model for incentivizing data owners to participate in federated learning.
Computer Science and Game Theory
20 code implementations • 19 Nov 2019 • Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren
By incorporating DIoU and CIoU losses into state-of-the-art object detection algorithms, e. g., YOLO v3, SSD and Faster RCNN, we achieve notable performance gains in terms of not only IoU metric but also GIoU metric.
no code implementations • 25 Oct 2019 • Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan
However, the traffic micro-simulation accuracy of car following models in a platoon level, especially during traffic oscillations, still needs to be enhanced.
2 code implementations • NeurIPS 2019 • Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
When the scaling factor is set to zero, it is equivalent to removing the corresponding filter.
2 code implementations • arXiv 2019 • Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang
For machines to achieve this capability, we propose a knowledge-enabled language representation model (K-BERT) with knowledge graphs (KGs), in which triples are injected into the sentences as domain knowledge.
no code implementations • 26 Aug 2019 • Rui Li, Zhibin Pan, Yang Wang, Ping Wang
In this paper, we propose a convolutional neural network with mapping layers (MCNN) for hyperspectral image (HSI) classification.
1 code implementation • 28 Jul 2019 • Ping Wang, Tian Shi, Chandan K. Reddy
In this paper, we tackle these challenges by developing a deep learning based TRanslate-Edit Model for Question-to-SQL (TREQS) generation, which adapts the widely used sequence-to-sequence model to directly generate the SQL query for a given question, and further performs the required edits using an attentive-copying mechanism and task-specific look-up tables.
1 code implementation • NAACL 2019 • Tian Shi, Ping Wang, Chandan K. Reddy
Neural abstractive text summarization (NATS) has received a lot of attention in the past few years from both industry and academia.
no code implementations • 25 Apr 2019 • Qun Yang, Zhepu Xu, Saravanan Gurupackiam, Ping Wang
By this method, how vehicles travel through maintenance work zones, and how different vehicle behaviours distribute in maintenance work zones can be displayed intuitively on maps, which is a novel traffic characteristic and can shed light to maintenance work zone related researches such as safety assessment and design method.
no code implementations • 29 Nov 2018 • Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim, Ying-Chang Liang
However, the learning process of the existing federated learning platforms rely on the direct communication between the model owner, e. g., central cloud or edge server, and the mobile devices for transferring the model update.
Cryptography and Security Computer Science and Game Theory
no code implementations • 18 Oct 2018 • Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
Reinforcement learning has been efficiently used to enable the network entities to obtain the optimal policy including, e. g., decisions or actions, given their states when the state and action spaces are small.
no code implementations • 10 Sep 2018 • Zhiyuan Ma, Ping Wang, Zehui Gao, Ruobing Wang, Koroush Khalighi
Here, we present novel algorithms using stacked generalization frameworks to estimate the warfarin dose, within which different types of machine learning algorithms function together through a meta-machine learning model to maximize the prediction accuracy.
no code implementations • 8 Sep 2018 • Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz, Dusit Niyato, Ping Wang
To cope with such incomplete knowledge of the environment, we develop a low-complexity online reinforcement learning algorithm that allows the secondary transmitter to "learn" from its decisions and then attain the optimal policy.
no code implementations • 14 Aug 2018 • Suttinee Sawadsitang, Dusit Niyato, Puay-Siew Tan, Ping Wang
A considerable number of works have studied different aspects of drone package delivery service by a supplier, one of which is delivery planning.
1 code implementation • 21 May 2018 • Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang
In this paper, we introduce a novel regularization method called Adversarial Noise Layer (ANL) and its efficient version called Class Adversarial Noise Layer (CANL), which are able to significantly improve CNN's generalization ability by adding carefully crafted noise into the intermediate layer activations.
no code implementations • 7 May 2018 • Wenbo Wang, Dinh Thai Hoang, Peizhao Hu, Zehui Xiong, Dusit Niyato, Ping Wang, Yonggang Wen, Dong In Kim
This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks.
Cryptography and Security
no code implementations • 28 Feb 2018 • Suttinee Sawadsitang, Siwei Jiang, Dusit Niyato, Ping Wang
Vehicle Routing Problem with Private fleet and common Carrier (VRPPC) has been proposed to help a supplier manage package delivery services from a single depot to multiple customers.
no code implementations • 4 Feb 2018 • Suttinee Sawadsitang, Rakpong Kaewpuang, Siwei Jiang, Dusit Niyato, Ping Wang
In reality, some parameters are random and unknown.
no code implementations • 23 Jan 2018 • Wenbo Wang, Dusit Niyato, Ping Wang, Amir Leshem
In this paper, we propose a decentralized framework of proactive caching in a hierarchical wireless network based on blockchains.
Networking and Internet Architecture
no code implementations • 16 Dec 2017 • Khoi Khac Nguyen, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Diep Nguyen, Eryk Dutkiewicz
With the rapid growth of mobile applications and cloud computing, mobile cloud computing has attracted great interest from both academia and industry.
no code implementations • 8 Nov 2017 • Nguyen Cong Luong, Zehui Xiong, Ping Wang, Dusit Niyato
However, a mechanism needs to be designed for edge resource allocation to maximize the revenue for the Edge Computing Service Provider and to ensure incentive compatibility and individual rationality is still open.
Computer Science and Game Theory
no code implementations • 15 Aug 2017 • Ping Wang, Yan Li, Chandan K. Reddy
We hope that this paper will provide a more thorough understanding of the recent advances in survival analysis and offer some guidelines on applying these approaches to solve new problems that arise in applications with censored data.
no code implementations • 23 Jan 2014 • Linhao Li, Ping Wang, QinGhua Hu, Sijia Cai
A cyclic iteration process is then proposed to extract the background from the discriminative frame set.