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Earlier this year, ment: “We are all Gang Chen.” A similar online peti- I was finally exonerated—it took 2 years. ... I am painfully tion launched by Northwestern University professor Gang Chen aware, however, that I am the luckiest among the un- G. ...doi:10.1126/science.abo6697 pmid:35201887 fatcat:ammszl76gvh5leabyxa22perhq
As Chen Gang rightly articulates in Politics of China's Environmental Protection, "ecological protection is not only an issue of environmental engineering, technology, and economics, but also a tough political ...doi:10.1289/ehp.118-a178 fatcat:2tkedtrblvg6bgq3urmxrvcrsq
This book edited by Lye Liang Fook and Chen Gang records such efforts of East Asian nations in building a more livable and sustainable urban environment. ... Towards a Liveable and Sustainable Urban Environment: Eco-Cities in East Asia LYE LIANG FOOK and CHEN G N ANG, eds. Singapore: World Scientific Publishing, 2010, 222 p. ...doi:10.20495/seas.1.1_182 fatcat:uei4pszgvnebxguyij7b576ofa
Acm transactions on interactive intelligent systems (tiis), 5(4):1-19, 2015.  Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, and Tat-Seng Chua. ... In Advances in Neural Information Processing Systems, pages 1885-1893, 2016.  Suyi Li, Yong Cheng, Wei Wang, Yang Liu, and Tianjian Chen. ...arXiv:2006.08259v1 fatcat:boav3q2s5zgv5o3u5v5sxya6ti
Chen et al projects the data to the null space of the within-class scatter matrix and then maximizes the between-class scatter in this space  to deal with the situation when the size of training data ...arXiv:1309.5427v1 fatcat:ovxfl3yizjavzdsuxgjwmpmkj4
Q-learning with value function approximation may have the poor performance because of overestimation bias and imprecise estimate. Specifically, overestimation bias is from the maximum operator over noise estimate, which is exaggerated using the estimate of a subsequent state. Inspired by the recent advance of deep reinforcement learning and Double Q-learning, we introduce the decorrelated double Q-learning (D2Q). Specifically, we introduce the decorrelated regularization item to reduce thearXiv:2006.06956v1 fatcat:zkfov4qzd5h3hp5vvlycuz5s2u
more »... lation between value function approximators, which can lead to less biased estimation and low variance. The experimental results on a suite of MuJoCo continuous control tasks demonstrate that our decorrelated double Q-learning can effectively improve the performance.
The first variant, GAnGS-P, is based on an untrusted communication hub. The second variant, GAnGS-T, needs no infrastructure. ... GAnGS is scalable, appropriate for two or more devices. We implement two user-friendly variants of GAnGS on Nokia N70 camera phones. ... The SIS files for GAnGS-P + GAnGS-R and GAnGS-T + GAnGS-R are 64 KB and 79 KB, respectively. ...doi:10.1145/1409944.1409957 dblp:conf/mobicom/ChenCKLMSPYW08 fatcat:z5xsvzwf3fdsjixcfxq3qgnozy
Clustering is an essential problem in machine learning and data mining. One vital factor that impacts clustering performance is how to learn or design the data representation (or features). Fortunately, recent advances in deep learning can learn unsupervised features effectively, and have yielded state of the art performance in many classification problems, such as character recognition, object recognition and document categorization. However, little attention has been paid to the potential ofarXiv:1501.03084v1 fatcat:ogoqvpmtc5csrf4wwwjxcpwnrq
more »... eep learning for unsupervised clustering problems. In this paper, we propose a deep belief network with nonparametric clustering. As an unsupervised method, our model first leverages the advantages of deep learning for feature representation and dimension reduction. Then, it performs nonparametric clustering under a maximum margin framework -- a discriminative clustering model and can be trained online efficiently in the code space. Lastly model parameters are refined in the deep belief network. Thus, this model can learn features for clustering and infer model complexity in an unified framework. The experimental results show the advantage of our approach over competitive baselines.
In this paper, we explore the virtual technique that is very useful in studying moduli problem from differential geometric point of view. We introduce a class of new objects "virtual manifolds/orbifolds", on which we develop the integration theory. In particular, the virtual localization formula is obtained.arXiv:math/0610369v1 fatcat:7byk33qo5vcn3pas3ff2dyy3eu
Web services are basic functions of a software system to support the concept of service-oriented architecture. They are often composed together to provide added values, known as web service composition. Researchers often employ Evolutionary Computation techniques to efficiently construct composite services with near-optimized functional quality (i.e., Quality of Semantic Matchmaking) or non-functional quality (i.e., Quality of Service) or both due to the complexity of this problem. With aarXiv:1902.06370v1 fatcat:ejzavij3ffb2jgjsex7uwfbqii
more »... icant increase in service composition requests, many composition requests have similar input and output requirements but may vary due to different preferences from different user segments. This problem is often treated as a multi-objective service composition so as to cope with different preferences from different user segments simultaneously. Without taking a multi-objective approach that gives rise to a solution selection challenge, we perceive multiple similar service composition requests as jointly forming an evolutionary multi-tasking problem in this work. We propose an effective permutation-based evolutionary multi-tasking approach that can simultaneously generate a set of solutions, with one for each service request. We also introduce a neighborhood structure over multiple tasks to allow newly evolved solutions to be evaluated on related tasks. Our proposed method can perform better at the cost of only a fraction of time, compared to one state-of-art single-tasking EC-based method. We also found that the use of the proper neighborhood structure can enhance the effectiveness of our approach.
In this study, the SBAS-InSAR process was implemented on the SARscape 5.2.1 software platform, and its parameter settings and process were consistent with those in the literature (Chen et al., 2013; Du ... The question of whether the deformation in the LOS direction reflects the true displacement of the ground surface has been addressed in many papers (Chen et al., 2013; Liu et al., 2019; Hu et al., 2021b ... Copyright © 2021 Du, Li, Chen, Zhou, Qi, Wu, Chai, Tang, Jia and Peng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...doi:10.3389/feart.2021.729454 doaj:479c7859f1ce49c3ab5753589c16be88 fatcat:nvl2ggx2orgahdt5qm2je6tmme
Foundation item : item Project(50304008) supported by the National Natural Science Foundation of China Corresponding author: CHEN Zhen-hua; Tel: +86-731-88821648; E-mail: firstname.lastname@example.org DOI: ...doi:10.1016/s1003-6326(08)60416-1 fatcat:fdojn2itljffhdb7cbtlnsb52i
We demonstrate a generic, user-configurable toolkit for generating different types of indoor mobility data for real-world buildings. Our prototype generates the desired data in a three-layer pipeline. The Infrastructure Layer accepts industry-standard digital building information (DBI) files to generate the host indoor environment, allowing users to configure the generation of a variety of positioning devices, such as Wi-Fi, Bluetooth, RFID, etc. The Moving Object Layer offers the functionalitydoi:10.14778/3007263.3007282 fatcat:4k3g7xjec5hy3lw3siqqsrzlam
more »... of defining objects or trajectories, with configurable indoor moving patterns, distribution models, and sampling frequencies. The Positioning Layer generates synthetic signal strength measurements known as raw RSSI 1 measurements according to the positioning device data and trajectory data generated at relevant layers. It also generates different types of indoor positioning data through the customization of all typical indoor positioning methods on the raw RSSI data.
Understanding the occurrence, development, and treatment of liver diseases is the main goal of hepatopathology research. Liver diseases are not only diverse but also highly heterogeneous among individuals. At present, research on liver diseases is conducted mainly through cell culture, animal models, pathological specimens, etc. However, these methods cannot fully reveal the pathogenic mechanism and therapeutic characteristics of individualized liver diseases. Recent advances indoi:10.3748/wjg.v25.i16.1913 pmid:31086460 pmcid:PMC6487380 fatcat:5uku47myhffm3psgja4yoj6dhq
more »... l cell culture technology (organoid culture techniques) include pluripotent stem cells and adult stem cells that are cultured in vitro to form self-organizing properties, making it possible to achieve individualized liver disease research. This review provides a comprehensive overview of the development of liver organoids, the existing and potential applications of liver regenerative medicine, the pathogenesis of liver disease heterogeneity, and drug screening.
We introduce a notion of guarded recursive (g.r.) datatype constructors, generalizing the notion of recursive datatypes in functional programming languages such as ML and Haskell. We address both theoretical and practical issues resulted from this generalization. On one hand, we design a type system to formalize the notion of g.r. datatype constructors and then prove the soundness of the type system. On the other hand, we present some significant applications (e.g., implementing objects,doi:10.1145/640128.604150 fatcat:hrvp56trxbdjrewsjslglyygru
more »... nting staged computation, etc.) of g.r. datatype constructors, arguing that g.r. datatype constructors can have far-reaching consequences in programming. The main contribution of the paper lies in the recognition and then the formalization of a programming notion that is of both theoretical interest and practical use.
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