Ying Zhang

Publications : 116
Aldex : 100
H-index : 5
Citations : 257

Farmers’ Changing Awareness of Environmental Protection in the Forest Tenure Reform in China

Ying Zhang et 3 al.

Oct 2, 2015 in Society & Natural Resources
This study assesses changes in Chinese farmers’ environmental protection awareness caused by the recent forest tenure reform. Surveys and ridit analysis were conducted in five provinces and cities of China. Result show that the tenure reform improved farmers’ environmental protection awareness. This was measured through questionnaires by six topics: the awareness that forests help in protecting ...

Testing for Treatment Effect Twice Using Internal and External Controls in Clinical Trials

Yanyao Yi, Ting Ye et 3 al.

Mar 8, 2022 in Arxiv
Leveraging external controls -- relevant individual patient data under control from external trials or real-world data -- has the potential to reduce the cost of randomized controlled trials (RCTs) while increasing the proportion of trial patients given access to novel treatments. However, due to lack of randomization, RCT patients and external controls may differ with respect to covariates that m...

Towards Higher-order Topological Consistency for Unsupervised Network Alignment

Qingqiang Sun, Chaoqi Chen et 4 al.

Aug 26, 2022 in Arxiv
Network alignment task, which aims to identify corresponding nodes in different networks, is of great significance for many subsequent applications. Without the need for labeled anchor links, unsupervised alignment methods have been attracting more and more attention. However, the topological consistency assumptions defined by existing methods are generally low-order and less accurate because only...

Farey tree and devil's staircase of frequency-locked breathers in ultrafast lasers

Xiuqi Wu, Heping Zeng et 5 al.

Aug 10, 2022 in Arxiv
Nonlinear systems with two competing frequencies show locking or resonances. In lasers, the two interacting frequencies can be the cavity repetition rate and a frequency externally applied to the system. Conversely, the excitation of breather oscillations in lasers naturally triggers a second characteristic frequency in the system, therefore showing competition between the cavity repetition rate a...

Fast solver for diffusive transport times on dynamic intracellular networks

Lachlan Elam, Thomas G. Fai et 4 al.

Jul 15, 2022 in Arxiv
The transport of particles in cells is influenced by the properties of intracellular networks they traverse while searching for localized target regions or reaction partners. Moreover, given the rapid turnover in many intracellular structures, it is crucial to understand how temporal changes in the network structure affect diffusive transport. In this work, we use network theory to characterize co...

The Hadron-Quark Crossover in Neutron Star within Gaussian Process Regression Method

Kaixuan Huang, Hong Shen et 3 al.

Jun 26, 2022 in Arxiv
The equations of state of the neutron star at the hadron-quark crossover region are interpolated with the Gaussian process regression (GPR) method, which can reduce the randomness of present interpolation schemes. The relativistic mean-field (RMF) model and Nambu-Jona-Lasinio (NJL) model are employed to describe the hadronic phase and quark phase, respectively. In the RMF model, the coupling term ...

TopoOpt: Optimizing the Network Topology for Distributed DNN Training

Weiyang Wang, Manya Ghobadi et 7 al.

Feb 1, 2022 in Arxiv
We explore a novel approach for building DNN training clusters using commodity optical devices. Our proposal, called TopoOpt, co-optimizes the distributed training process across three dimensions: computation, communication, and network topology. TopoOpt uses a novel alternating optimization technique and a group theory-inspired algorithm to find the best network topology and routing plan, togethe...


Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

Hao Wang, Zhiwen Yu et 7 al.

Jul 2, 2022 in Arxiv
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence. With the gradually complex human-computer interaction requirements (e.g., multimodal inputs, time sensitivity), it is difficult for traditional text-based dialogue system to meet the d...

AFD Types Sparse Representations vs. the Karhunen-Loeve Expansion for Decomposing Stochastic Processes

Tao Qian, Wei Qu et 3 al.

Mar 9, 2022 in Arxiv
This article introduces adaptive Fourier decomposition (AFD) type methods, emphasizing on those that can be applied to stochastic processes and random fields, mainly including stochastic adaptive Fourier decomposition and stochastic pre-orthogonal adaptive Fourier decomposition. We establish their algorithms based on the covariant function and prove that they enjoy the same convergence rate as the...

Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving

Naifan Li, Erkang Cheng et 4 al.

May 1, 2022 in Arxiv
Detection of rare objects (e.g., traffic cones, traffic barrels and traffic warning triangles) is an important perception task to improve the safety of autonomous driving. Training of such models typically requires a large number of annotated data which is expensive and time consuming to obtain. To address the above problem, an emerging approach is to apply data augmentation to automatically gener...

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