141 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN7 papers
- Shandong UniversityCN4 papers
- University of Chinese Academy of SciencesCN4 papers
- George Mason UniversityUS3 papers
- Peking UniversityCN3 papers
- Southwest UniversityCN3 papers
- Wuhan UniversityCN3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beihang UniversityCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Tsinghua UniversityCN2 papers
- University of Hong KongHK2 papers
27 papers
Division of Labor and Collaboration Between Parents in Family Education
Ziyi Wang, Congrong Zhang, Jingying Deng +5
Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Th…
A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings
Xuyuan Kang, Xiao Wang, Jingjing An +1
Thermal energy storage (TES) is an effective method for load shifting and demand response in buildings. Optimal TES control and management are essential to improve the performance…
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
Hao Guo, Han Wang, Di Zhu +3
Modeling spatial heterogeneity in the data generation process is essential for understanding and predicting geographical phenomena. Despite their prevalence in geospatial tasks, ne…
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction
Hao Zhang, Yang Liu, Xiaoyan Liu +4
We introduce a novel graph-based framework for alleviating key challenges in distantly-supervised relation extraction and demonstrate its effectiveness in the challenging and impor…
Mega-cities dominate China's urban greening
Xiaoxin Zhang, Martin Brandt, Xiaoye Tong +10
Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban gre…
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable
Cambridge Yang, Michael Littman, Michael Carbin
In reinforcement learning, the classic objectives of maximizing discounted and finite-horizon cumulative rewards are PAC-learnable: There are algorithms that learn a near-optimal p…
Global stability of a time-delayed malaria model with standard incidence rate
Songbai Guo, Min He, Jing-An Cui
A four-dimensional delay differential equations (DDEs) model of malaria with standard incidence rate is proposed. By utilizing the limiting system of the model and Lyapunov direct…
A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration
Li Yan, Pengcheng Wei, Hong Xie +3
Registration is a basic yet crucial task in point cloud processing. In correspondence-based point cloud registration, matching correspondences by point feature techniques may lead…
NLO QCD Corrections to ()-Reggeon Vertex
Li Ping Sun, Long Bin Chen, Cong Feng Qiao +1
Next-to-leading order QCD corrections to the vertex are calculated, where denotes a heavy quark pair or . The…
Lagrangian surfaces in
Dong Gao, Joeri Van der Veken, Anne Wijffels +1
The Riemannian product of two hyperbolic planes of constant Gaussian curvature -1 has a natural Kähler structure. In fact, it can be identified with the complex hyperbolic quadric…
CASIA-Face-Africa: A Large-scale African Face Image Database
Jawad Muhammad, Yunlong Wang, Caiyong Wang +2
Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face…
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
Nuo Xu, Chunlei Huo, Jiacheng Guo +3
In recent years, deep learning methods bring incredible progress to the field of object detection. However, in the field of remote sensing image processing, existing methods neglec…
Taking the pulse of COVID-19: A spatiotemporal perspective
Chaowei Yang, Dexuan Sha, Qian Liu +32
The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including…
Partial Multi-label Learning with Label and Feature Collaboration
Tingting Yu, Guoxian Yu, Jun Wang +1
Partial multi-label learning (PML) models the scenario where each training instance is annotated with a set of candidate labels, and only some of the labels are relevant. The PML p…
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
Tianwei Zhang, Huayan Zhang, Yang Li +2
Dynamic environments are challenging for visual SLAM since the moving objects occlude the static environment features and lead to wrong camera motion estimation. In this paper, we…
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization
Yuying Xing, Guoxian Yu, Carlotta Domeniconi +3
Multi-view Multi-instance Multi-label Learning(M3L) deals with complex objects encompassing diverse instances, represented with different feature views, and annotated with multiple…
Ranking-based Deep Cross-modal Hashing
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi +3
Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data retrievals. However, most existing hashing methods are…
Seismogenic nodes as a viable alternative to seismogenic zones and observed seismicity for the definition of seismic hazard at regional scale
Paolo Rugarli, Franco Vaccari, Giuliano Panza
It is shown that considering a fixed increment of a given magnitude at a fault is equivalent to factoring the mechanical moment at the fault as done in structural engineering with…
Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models
Xiaolei Ma, Yi Li, Zhiyong Cui +1
Accurate and reliable traffic forecasting for complicated transportation networks is of vital importance to modern transportation management. The complicated spatial dependencies o…
Higgs production in association with bottom quark pair at LHC
Wen-Tao Huang, Hong-Lei Li, Shi-Yuan Li +4
The direct observation of the Yukawa interaction related to Standard Model Higgs and the bottom quark is obtained from the process recently. The b-tagging becomes a…
Study Standard Model and Majorana Neutrino Contributions to
Hong-lei Li, Peng-cheng Lu, Cong-feng Qiao +2
Lepton number violation processes can be induced by the Majorana neutrino exchange, which provide evidence for the Majorana nature of neutrinos. In addition to the natural explanat…
Threshold dynamics and ergodicity of an SIRS epidemic model with Markovian switching
Dan Li, Shengqiang Liu, Jing'an Cui
This paper studies the spread dynamics of a stochastic SIRS epidemic model with nonlinear incidence and varying population size, which is formulated as a piecewise deterministic Ma…
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
Haiyang Yu, Zhihai Wu, Shuqin Wang +2
Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in whi…
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma, Zhuang Dai, Zhengbing He +3
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. Spati…