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A Real-Time Correlation of Host-Level Events in Cyber Range Service for Smart Campus

Zhihong Tian, Yu Cui, Lun An, Shen Su, Xiaoxia Yin, Lihua Yin, Xiang Cui
2018 IEEE Access  
ACKNOWLEDGMENT The first four authors (Zhihong Tian, Yu Cui, Lun An, and Shen Su) contributed equally to this paper.  ...  LIHUA YIN was born in Harbin, China, in 1973. She received the Ph.D. degree from the Harbin Institute of Technology. She is currently a Professor and a Ph.D. Supervisor with Guangzhou University.  ... 
doi:10.1109/access.2018.2846590 fatcat:p6w54x4xyvdnbgxdlclu45hfxe

Saddle solutions for the fractional Choquard equation [article]

Yin-Xin Cui, Jiankang Xia
2021 arXiv   pre-print
We study the saddle solutions for the fractional Choquard equation (-Δ)^su+ u=(K_α∗|u|^p)|u|^p-2u, x∈ℝ^N where s∈(0,1), N≥ 3 and K_α is the Riesz potential with order α∈ (0,N). For every Coxeter group G with rank 1≤ k≤ N and p∈[2,N+α/N-2s), we construct a G-saddle solution with prescribed symmetric nodal configurations. This is a counterpart for the fractional Choquard equation of saddle solutions to the Choquard equation and further completes the existence of non-radial sign-changing solutions for this doubly nonlocal equation.
arXiv:2105.12627v1 fatcat:vydzv2sjjfexhmxyi2zdhbkguy

One Pot Solvent-Free Synthesis of Benzodiazepinones Catalyzed by CuI

Qingyang Zhang, Xiaojian Wang, Qiong Xiao, Dali Yin
2017 Youji huaxue  
The substituted ethyl 2-bromobenzoates were cross-coupled with adjacent diamine compounds using CuI as a catalyst to give the intermediates, which spontaneously underwent an intramolecular N-acylation  ...  该方法绿色环 保, 操作简单, 收率较高, 且无需溶剂和配体, 只需催 化量的 CuI, 并能够用于对不同种类含有苯二氮䓬酮结 构化合物的合成.  ...  最终, 发现在无溶剂情况下, 以 CuI 为催化剂、三 乙胺(TEA)为碱, 能够高效合成产物 4a 的绿色合成方法 (表 1, Entry 11). 表 1 目标产物合成反应条件的优化 a Table 1 Optimization of reaction conditions Entry Base (equiv.)  ... 
doi:10.6023/cjoc201611020 fatcat:zn7xrmx7tzduvhwabviszso7ym

Learning to Evaluate Image Captioning [article]

Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie
2018 arXiv   pre-print
Evaluation metrics for image captioning face two challenges. Firstly, commonly used metrics such as CIDEr, METEOR, ROUGE and BLEU often do not correlate well with human judgments. Secondly, each metric has well known blind spots to pathological caption constructions, and rule-based metrics lack provisions to repair such blind spots once identified. For example, the newly proposed SPICE correlates well with human judgments, but fails to capture the syntactic structure of a sentence. To address
more » ... ese two challenges, we propose a novel learning based discriminative evaluation metric that is directly trained to distinguish between human and machine-generated captions. In addition, we further propose a data augmentation scheme to explicitly incorporate pathological transformations as negative examples during training. The proposed metric is evaluated with three kinds of robustness tests and its correlation with human judgments. Extensive experiments show that the proposed data augmentation scheme not only makes our metric more robust toward several pathological transformations, but also improves its correlation with human judgments. Our metric outperforms other metrics on both caption level human correlation in Flickr 8k and system level human correlation in COCO. The proposed approach could be served as a learning based evaluation metric that is complementary to existing rule-based metrics.
arXiv:1806.06422v1 fatcat:ng2dhk6445cw5bhixm62wu6sou

Challenging the Long Tail Recommendation [article]

Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen
2012 arXiv   pre-print
The success of "infinite-inventory" retailers such as Amazon.com and Netflix has been largely attributed to a "long tail" phenomenon. Although the majority of their inventory is not in high demand, these niche products, unavailable at limited-inventory competitors, generate a significant fraction of total revenue in aggregate. In addition, tail product availability can boost head sales by offering consumers the convenience of "one-stop shopping" for both their mainstream and niche tastes.
more » ... r, most of existing recommender systems, especially collaborative filter based methods, can not recommend tail products due to the data sparsity issue. It has been widely acknowledged that to recommend popular products is easier yet more trivial while to recommend long tail products adds more novelty yet it is also a more challenging task. In this paper, we propose a novel suite of graph-based algorithms for the long tail recommendation. We first represent user-item information with undirected edge-weighted graph and investigate the theoretical foundation of applying Hitting Time algorithm for long tail item recommendation. To improve recommendation diversity and accuracy, we extend Hitting Time and propose efficient Absorbing Time algorithm to help users find their favorite long tail items. Finally, we refine the Absorbing Time algorithm and propose two entropy-biased Absorbing Cost algorithms to distinguish the variation on different user-item rating pairs, which further enhances the effectiveness of long tail recommendation. Empirical experiments on two real life datasets show that our proposed algorithms are effective to recommend long tail items and outperform state-of-the-art recommendation techniques.
arXiv:1205.6700v1 fatcat:g7muxhiynfaqbdaltvikyrycc4

Measuring Dataset Granularity [article]

Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge Belongie, Ser-Nam Lim
2019 arXiv   pre-print
Yin Cui is now at Google Research.  ... 
arXiv:1912.10154v1 fatcat:jdxontaounelzfazrxw76mgqaa

Radiofrequency Ablation Versus Partial Nephrectomy in Treating Small Renal Tumors

Xiaotao Yin, Liang Cui, Fanglong Li, Siyong Qi, Zhaoyang Yin, Jiangping Gao
2015 Medicine  
Discrepancies were resolved through discussion with Liang Cui.  ...  Data Extraction The relevant information was extracted independently by 2 researchers (Siyong Qi and Zhaoyang Yin) using a predefined form.  ... 
doi:10.1097/md.0000000000002255 pmid:26683944 pmcid:PMC5058916 fatcat:mlvn3xo2fjgkxbgyt355iaalm4

Long-time existence of nonlinear inhomogeneous compressible elastic waves [article]

Silu Yin, Xiufang Cui
2017 arXiv   pre-print
For the inhomogeneous case, Yin [25] built a model of two-dimensional incompressible elastodynamics and showed the global existence.  ... 
arXiv:1707.00504v1 fatcat:bkn2ycwev5gcfcslapnn4kgbta

Glandless Cottonseed Protein for Environmentally Friendly Bioplastics [chapter]

Hangbo Yue, Guoqiang Yin, Yingde Cui
2016 Cotton Research  
Author details Hangbo Yue 1* , Guoqiang Yin 2* and Yingde Cui 1,3 *Address all correspondence to: yuehangbo@163.com and yingq007@163.com  ... 
doi:10.5772/64045 fatcat:wpo2ougbkbbq5jttzy6v4763iq

Erratum: Zhao, J.; Shen, X.; Cao, X.; He, H.; Han, S.; Chen, Y.; Cui, C.; Wei, Y.; Wang, Y.; Li, D.; Zhu, Q.; Yin, H. HDAC4 Regulates the Proliferation, Differentiation and Apoptosis of Chicken Skeletal Muscle Satellite Cells. Animals 2020, 10, 84

Jing Zhao, Xiaoxu Shen, Xinao Cao, Haorong He, Shunshun Han, Yuqi Chen, Can Cui, Yuanhang Wei, Yan Wang, Diyan Li, Qing Zhu, Huadong Yin
2020 Animals  
The authors wish to make the following corrections to their paper [...]
doi:10.3390/ani10122322 pmid:33297600 fatcat:5u7fioxp6vbrzhhwutstfg5fvu

Delay-Throughput Tradeoff for Supportive Two-Tier Networks [article]

Long Gao, Rui Zhang, Changchuan Yin, Shuguang Cui
2008 arXiv   pre-print
Consider a static wireless network that has two tiers with different priorities: a primary tier vs. a secondary tier. The primary tier consists of randomly distributed legacy nodes of density n, which have an absolute priority to access the spectrum. The secondary tier consists of randomly distributed cognitive nodes of density m=n^β with β≥ 2, which can only access the spectrum opportunistically to limit the interference to the primary tier. By allowing the secondary tier to route the packets
more » ... or the primary tier, we show that the primary tier can achieve a throughput scaling of λ_p(n)=Θ(1/ n) per node and a delay-throughput tradeoff of D_p(n)=Θ(√(n^β n)λ_p(n)) for λ_p(n)=O(1/ n), while the secondary tier still achieves the same optimal delay-throughput tradeoff as a stand-alone network.
arXiv:0812.4826v1 fatcat:cjhezu22ybb73gxwhjefunmscm

Musical Instrument Recognition by XGBoost Combining Feature Fusion [article]

Yijie Liu, Yanfang Yin, Qigang Zhu, Wenzhuo Cui
2022 arXiv   pre-print
Acknowledgments: The authors would like to thank Yanfang Yin and Qigang Zhu for the writing advice. and Yijie Liu wants to thank Li Ma, Yuan Liu and Luping Zhao for the  ... 
arXiv:2206.00901v1 fatcat:tcdzmjnizng5pmfv6kv643yyle

AutoML for Deep Recommender Systems: A Survey [article]

Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2022 arXiv   pre-print
: l.qu1@uq.net.au, Email: h.yin1@uq.edu.au • Bin Cui is with School of Computer Science, and National Engineering Laboratory for Big Data Analysis Technology and Application, Peking University, Beijing  ...  As the most • Ruiqi Zheng, Liang Qu, Hongzhi Yin are with School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, Email: ruiqi.zheng@uq.net.au, Email  ... 
arXiv:2203.13922v1 fatcat:2iob63bk4zh4naijyw6tg6wfvy

Revisiting 3D ResNets for Video Recognition [article]

Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello
2021 arXiv   pre-print
A recent work from Bello shows that training and scaling strategies may be more significant than model architectures for visual recognition. This short note studies effective training and scaling strategies for video recognition models. We propose a simple scaling strategy for 3D ResNets, in combination with improved training strategies and minor architectural changes. The resulting models, termed 3D ResNet-RS, attain competitive performance of 81.0 on Kinetics-400 and 83.8 on Kinetics-600
more » ... ut pre-training. When pre-trained on a large Web Video Text dataset, our best model achieves 83.5 and 84.3 on Kinetics-400 and Kinetics-600. The proposed scaling rule is further evaluated in a self-supervised setup using contrastive learning, demonstrating improved performance. Code is available at: https://github.com/tensorflow/models/tree/master/official.
arXiv:2109.01696v1 fatcat:lpsxa5vzjrfu3bs6ueawh3fpee

Gels of Amyloid Fibers

Ruizhi Wang, Xiaojing Yang, Lingwen Cui, Hang Yin, Shaohua Xu
2019 Biomolecules  
Protein self-assembly and formation of amyloid fibers is an early event of numerous human diseases. Continuous aggregation of amyloid fibers in vitro produces biogels, which led us to suspect that amyloid plaques and neurofibrillary tangles in Alzheimer's disease are of biogels in nature. We applied atomic force microscopy, size exclusion chromatography, and differential scanning calorimetry to elucidate the gel's structure, kinetics of gel formation, and melting point. We found that (1)
more » ... e gelation occurs when the protein concentration is above 5 mg/mL; (2) nonfibrous protein concentration decreases and plateaus after three days of gel synthesis reaction; (3) colloidal lysozyme aggregates are detectable by both atomic force microscopy (AFM) and fast protein liquid chromatography (FPLC); (4) the gels are a three-dimensional (3D) network crosslinked by fibers coiling around each other; (5) the gels have a high melting point at around around 110 °C, which is weakly dependent on protein concentration; (6) the gels are conductive under an electric field, and (7) they form faster in the presence than in the absence of salt in the reaction buffer. The potential role of the gels formed by amyloid fibers in amyloidosis, particularly in Alzheimer's disease was thoroughly discussed, as gels with increased viscosity, are known to restrict bulk flow and then circulation of ions and molecules.
doi:10.3390/biom9060210 pmid:31151252 pmcid:PMC6628346 fatcat:aimmk4qzunf4zdqcxwsy5q2n3e
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