no code implementations • 19 Apr 2023 • Kai Yang, Hong Shang, Tianyang Shi, Xinghan Chen, Jingkai Zhou, Zhongqian Sun, Wei Yang
The research fields of parametric face models and 3D face reconstruction have been extensively studied.
no code implementations • 17 Apr 2023 • Yizhen Luo, Kui Huang, Massimo Hong, Kai Yang, Jiahuan Zhang, Yushuai Wu, Zaiqin Nie
Further studies show that benefiting from explicit and implicit knowledge, our framework achieves a deeper understanding of molecules and shows promising potential in facilitating drug discovery applications.
no code implementations • 14 Mar 2023 • Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley
Several approximate inference methods have been proposed for deep discrete latent variable models.
no code implementations • 7 Feb 2023 • Ya Liu, Yingjie Zhou, Kai Yang, Xin Wang
IoT time series analysis has found numerous applications in a wide variety of areas, ranging from health informatics to network security.
1 code implementation • 20 Dec 2022 • Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian
Bilevel optimization plays an essential role in many machine learning tasks, ranging from hyperparameter optimization to meta-learning.
no code implementations • 1 Dec 2022 • Chengbo Qiu, Kai Yang, Ji Wang, Shenjie Zhao
6G is envisioned to offer higher data rate, improved reliability, ubiquitous AI services, and support massive scale of connected devices.
1 code implementation • 8 Nov 2022 • Liang Peng, Boqi Li, Wenhao Yu, Kai Yang, Wenbo Shao, Hong Wang
Therefore, this paper proposes the "Self-Surveillance and Self-Adaption System" as a systematic approach to online minimize the SOTIF risk, which aims to provide a systematic solution for monitoring, quantification, and mitigation of inherent and external risks.
no code implementations • 14 Oct 2022 • Yang Jiao, Kai Yang, Dongjin Song
Distributionally Robust Optimization (DRO), which aims to find an optimal decision that minimizes the worst case cost over the ambiguity set of probability distribution, has been widely applied in diverse applications, e. g., network behavior analysis, risk management, etc.
1 code implementation • 6 Sep 2022 • Yanchao Xu, Wenbo Shao, Jun Li, Kai Yang, Weida Wang, Hua Huang, Chen Lv, Hong Wang
Then, the behaviors of traffic light violations in SIND are recorded.
no code implementations • 5 Sep 2022 • Zhiyuan You, Kai Yang, Wenhan Luo, Lei Cui, Yu Zheng, Xinyi Le
Second, CNN tends to reconstruct both normal samples and anomalies well, making them still hard to distinguish.
no code implementations • 13 Aug 2022 • Zhanpeng Yang, Yuanming Shi, Yong Zhou, Zixin Wang, Kai Yang
In this paper, we shall propose a decentralized blockchain based FL (B-FL) architecture by using a secure global aggregation algorithm to resist malicious devices, and deploying practical Byzantine fault tolerance consensus protocol with high effectiveness and low energy consumption among multiple edge servers to prevent model tampering from the malicious server.
no code implementations • 17 Jul 2022 • Shaoyu Dou, Kai Yang, Yang Jiao, Chengbo Qiu, Kui Ren
The proposed framework aspires to offer a stepping stone that gives rise to a systematic approach to model and learn similarities among a multitude of event-triggered time series.
no code implementations • 10 Jun 2022 • Hong Wang, Li-Ming Peng, Zi-Chun Wei, Kai Yang, Xian-Xu Bai, Luo Jiang, Ehsan Hashemi
The output from UCL will be delivered to the lower-level motion-planning layer (LML) as reference signals.
1 code implementation • 8 Jun 2022 • Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, Xinyi Le
For example, when learning a unified model for 15 categories in MVTec-AD, we surpass the second competitor on the tasks of both anomaly detection (from 88. 1% to 96. 5%) and anomaly localization (from 89. 5% to 96. 8%).
no code implementations • 7 Apr 2022 • He Zhou, Haibo Zhou, Jianguo Li, Kai Yang, Jianping An, Xuemin, Shen
By combining the PCP and MRWP model, the distributions of distances from a typical terminal to the BSs in different tiers are derived.
no code implementations • 3 Apr 2022 • Yujin Han, Pan Du, Kai Yang
With the aim of obtaining an outstanding performance with less time cost, we propose a novel model in a vertically federated setting termed as Federated Gradient Boosting Forest (FedGBF).
1 code implementation • 22 Jan 2022 • Zhiyuan You, Kai Yang, Wenhan Luo, Xin Lu, Lei Cui, Xinyi Le
This work studies the problem of few-shot object counting, which counts the number of exemplar objects (i. e., described by one or several support images) occurring in the query image.
Ranked #2 on
Object Counting
on CARPK
1 code implementation • 14 Jan 2022 • Kai Yang, Xiaoman Liang, Huihuang Zhao
This paper proposed a method to imitate handwriting style by style transfer.
no code implementations • 8 Dec 2021 • Wuxing Xu, Hao Fan, Kaixin Li, Kai Yang
In this paper, we studied the efficiency problem of adapting widely used XGBoost model in real-world applications to vertical federated learning setting.
no code implementations • 20 May 2021 • Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang
With this key observation, we protect data privacy and allow the disclosure of feature meaning by concealing decision paths and adapt a communication-efficient secure computation method for inference outputs.
1 code implementation • 15 Apr 2021 • Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan, Haijun Zhang
By tracking a target as a pair of corners, we avoid the need to design the anchor boxes.
no code implementations • 12 Apr 2021 • Yihan Pan, Zhenghang Xu, Jin Guang, Jingjing Sun, Chengwenjian Wang, Xuanming Zhang, Xinyun Chen, J. G. Dai, Yichuan Ding, Pengyi Shi, Hongxin Pan, Kai Yang, Song Wu
To address the issue, we propose a novel two-level routing component to the queueing network model.
no code implementations • 3 Feb 2021 • Oussama Landoulsi, Svetlana Roudenko, Kai Yang
Moreover, we show that the sharp threshold for global existence vs. finite time blow-up solutions in the mass critical case in the presence of the obstacle is the same as the one given by Weinstein for {\rm{NLS}} in the whole Euclidean space $\R^d$.
Analysis of PDEs Numerical Analysis Numerical Analysis
no code implementations • 22 Nov 2020 • Zhitong Ni, J. Andrew Zhang, Kai Yang, Xiaojing Huang, Theodoros A. Tsiftsis
For radar sensing, we consider optimizing one of two metrics, the mutual information or the Cramer-Rao bound.
no code implementations • 18 Nov 2020 • Zhitong Ni, J. Andrew Zhang, Xiaojing Huang, Kai Yang, Jinhong Yuan
We first adopt a cross-antenna cross-correlation (CACC) operation to remove the sensing ambiguity associated with both TOs and CFOs.
no code implementations • 4 Oct 2020 • Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song
To this end, we propose an autonomous representation learning approach for multivariate time series (TimeAutoML) with irregular sampling rates and variable lengths.
1 code implementation • 22 Sep 2020 • Kai Yang, Masoud Asgharian, Sahir Bhatnagar
A recent proposal generalizes Nesterov's AG method to the nonconvex setting.
1 code implementation • 3 Aug 2020 • Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng
We evaluate and analyze more than 30 trackers on LSOTB-TIR to provide a series of baselines, and the results show that deep trackers achieve promising performance.
Thermal Infrared Object Tracking
Vocal Bursts Intensity Prediction
no code implementations • ICIAI 2020: Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence 2020 • Xiaolu Ding, Kai Yang, Wai Chen
Action recognition with skeleton data is a challenging task in computer vision.
Ranked #57 on
Skeleton Based Action Recognition
on NTU RGB+D
no code implementations • 28 Apr 2020 • Kai Yang, Yong Zhou, Zhanpeng Yang, Yuanming Shi
Given the fast growth of intelligent devices, it is expected that a large number of high-stake artificial intelligence (AI) applications, e. g., drones, autonomous cars, tactile robots, will be deployed at the edge of wireless networks in the near future.
no code implementations • 13 Apr 2020 • Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen
Intelligent Internet-of-Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from "connected things" to "connected intelligence".
no code implementations • 29 Mar 2020 • Shanchi Wu, Chen Gong, Chengjie Zuo, Shangbin Li, Junyu Zhang, Zhongbin Dai, Kai Yang, Ming Zhao, Rui Ni, Zhengyuan Xu, Jinkang Zhu
We propose a novel radio-frequency (RF) receiving architecture based on micro-electro-mechanical system (MEMS) and optical coherent detection module.
no code implementations • 22 Feb 2020 • Yuanming Shi, Kai Yang, Tao Jiang, Jun Zhang, Khaled B. Letaief
By pushing inference and training processes of AI models to edge nodes, edge AI has emerged as a promising alternative.
no code implementations • 1 Dec 2019 • Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang
Our approach can considerably reduce the number of communication rounds with a little additional communication cost per round.
no code implementations • SPML '19: Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning 2019 • Xiaolu Ding, Kai Yang, Wai Chen
Dynamic movements of human skeleton have attracted more and more attention as a robust modality for action recognition.
no code implementations • 18 Nov 2019 • Fan Zhang, Hao Wang, Jiashan Wang, Kai Yang
In this paper, we propose a novel primal-dual inexact gradient projection method for nonlinear optimization problems with convex-set constraint.
no code implementations • 14 Oct 2019 • Hang Yuan, Nan Yang, Kai Yang, Chong Han, Jianping An
We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.
no code implementations • 29 Jul 2019 • Kai Yang, Yuanming Shi, Wei Yu, Zhi Ding
Edge machine learning can deliver low-latency and private artificial intelligent (AI) services for mobile devices by leveraging computation and storage resources at the network edge.
2 code implementations • CVPR 2019 • Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li
Previous works built cost volumes with cross-correlation or concatenation of left and right features across all disparity levels, and then a 2D or 3D convolutional neural network is utilized to regress the disparity maps.
no code implementations • 31 Dec 2018 • Kai Yang, Tao Jiang, Yuanming Shi, Zhi Ding
Instead, edge machine learning becomes increasingly attractive for performing training and inference directly at network edges without sending data to a centralized data center.
no code implementations • 27 Dec 2018 • Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang
This issue becomes more critical for the healthcare facilities that provide service for chronic disease treatment because of the need for continuous treatments over the time.
no code implementations • 12 Dec 2018 • Mucong Ding, Kai Yang, Dit-yan Yeung, Ting-Chuen Pong
A major challenge that has to be addressed when building such models is to design handcrafted features that are effective for the prediction task at hand.
2 code implementations • 11 Oct 2018 • Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir Radev
In this paper we propose SyntaxSQLNet, a syntax tree network to address the complex and cross-domain text-to-SQL generation task.
Ranked #7 on
Text-To-SQL
on SParC
no code implementations • EMNLP 2018 • Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir Radev
In this paper we propose SyntaxSQLNet, a syntax tree network to address the complex and cross-domain text-to-SQL generation task.
4 code implementations • EMNLP 2018 • Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev
We define a new complex and cross-domain semantic parsing and text-to-SQL task where different complex SQL queries and databases appear in train and test sets.
Ranked #10 on
Semantic Parsing
on spider
no code implementations • 4 Aug 2018 • Kai Yang, Jie Ren, Yanqiao Zhu, Weiyi Zhang
This paper discusses the human-in-the-loop active learning approach for wireless intrusion detection.
1 code implementation • 6 Jun 2018 • Chun-kit Yeung, Zizheng Lin, Kai Yang, Dit-yan Yeung
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community.
no code implementations • 10 Apr 2018 • Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang, Dongxiao Zhu
Survival analysis has been developed and applied in the number of areas including manufacturing, finance, economics and healthcare.
no code implementations • 26 Sep 2017 • Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levy
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different patient subgroups.
1 code implementation • 12 Sep 2017 • Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Robertson, Timothy Hospedales, Qiangwei Miemie
We propose a novel investment decision strategy (IDS) based on deep learning.
Computational Finance
no code implementations • 20 Apr 2017 • Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
In this paper, we propose a new deep feature selection method based on deep architecture.
no code implementations • 5 Jan 2017 • Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang
In this paper, we study learning generalized driving style representations from automobile GPS trip data.
no code implementations • COLING 2016 • Kai Yang, Yi Cai, Zhenhong Chen, Ho-fung Leung, Raymond Lau
Latent Dirichlet Allocation (LDA) and its variants have been widely used to discover latent topics in textual documents.
no code implementations • 5 Mar 2014 • Saeede Ajorlou, Issac Shams, Kai Yang
Reducing potentially preventable readmissions has been identified as an important issue for decreasing Medicare costs and improving quality of care provided by hospitals.
Applications 62N01, 62N02, 62P10
no code implementations • 24 Feb 2014 • Issac Shams, Saeede Ajorlou, Kai Yang
We further propose a tree based classification method to estimate the predicted probability of readmission that can directly incorporate patient's history of readmission and risk factors changes over time.