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Some graft transformations and their applications on distance (signless) Laplacian spectra of graphsJul 04 2019Suppose that the vertex set of a connected graph $G$ is $V(G)=\{v_1,\cdots,v_n\}$. Then we denote by $Tr_{G}(v_i)$ the sum of distances between $v_i$ and all other vertices of $G$. Let $Tr(G)$ be the $n\times n$ diagonal matrix with its $(i,i)$-entry ... More

The least signless Laplacian eigenvalue of the complements of bicyclic graphsJul 10 2019Suppose that $G$ is a connected simple graph with the vertex set $V(G)=\{v_1, v_2,\cdots,v_n\}$. Then the adjacency matrix of $G$ is $A(G)=(a_{ij})_{n\times n}$, where $a_{ij}=1$ if $v_i$ is adjacent to $v_j$, and otherwise $a_{ij}=0$. The degree matrix ... More

Dataset for the First Evaluation on Chinese Machine Reading ComprehensionSep 25 2017Mar 15 2018Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, existing reading comprehension datasets are mostly in English. To add diversity in reading comprehension datasets, in this paper ... More

Attention-over-Attention Neural Networks for Reading ComprehensionJul 15 2016Jun 06 2017Cloze-style queries are representative problems in reading comprehension. Over the past few months, we have seen much progress that utilizing neural network approach to solve Cloze-style questions. In this paper, we present a novel model called attention-over-attention ... More

Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun ResolutionJun 06 2016Jun 06 2017Most existing approaches for zero pronoun resolution are heavily relying on annotated data, which is often released by shared task organizers. Therefore, the lack of annotated data becomes a major obstacle in the progress of zero pronoun resolution task. ... More

Comparisons of Some Iterative Algorithms for Biot EquationsAug 29 2017In this paper, we aim at solving the Biot model under stabilized finite element discretizations. To solve the resulting generalized saddle point linear systems, some iterative methods are proposed and compared. In the first method, we apply the GMRES ... More

An improvement on the relatively compactness criteriaApr 06 2019This paper is devoted to the study of the relatively compact sets in Banach function spaces, providing an important improvement of the known results. As an application, we take the final step in establishing a relative compactness criteria for function ... More

The effect of a graft transformation on distance signless Laplacian spectral radius of the graphsJul 11 2019Suppose that the vertex set of a connected graph $G$ is $V(G)=\{v_1,\cdots,v_n\}$. Then we denote by $Tr_{G}(v_i)$ the sum of distances between $v_i$ and all other vertices of $G$. Let $Tr(G)$ be the $n\times n$ diagonal matrix with its $(i,i)$-entry ... More

Enhanced quantum coherence in graphene caused by Pd cluster depositionFeb 14 2014Jan 06 2015We report on the unexpected increase in the dephasing lengths of a graphene sheet caused by the deposition of Pd nanoclusters, as demonstrated by weak localization measurements. The dephasing lengths reached saturated values at low temperatures. Theoretical ... More

AADS: Augmented Autonomous Driving Simulation using Data-driven AlgorithmsJan 23 2019Mar 05 2019Simulation systems have become an essential component in the development and validation of autonomous driving technologies. The prevailing state-of-the-art approach for simulation is to use game engines or high-fidelity computer graphics (CG) models to ... More

Topological Hall effect in bulk ferromagnet Cr$_2$Te$_3$ embedded with black-phosphorus-like bismuth nanosheetsMar 15 2019We implement the molecular beam epitaxy method to embed the black-phosphorus-like bismuth nanosheets into the bulk ferromagnet Cr$_2$Te$_3$. As a typical surfactant, bismuth lowers the surface tensions and mediates the layer-by-layer growth of Cr$_2$Te$_3$. ... More

Quality Classified Image Analysis with Application to Face Detection and RecognitionJan 19 2018Motion blur, out of focus, insufficient spatial resolution, lossy compression and many other factors can all cause an image to have poor quality. However, image quality is a largely ignored issue in traditional pattern recognition literature. In this ... More

The LAMOST Stellar Parameter Pipeline at Peking University --- LSP3Dec 20 2014We introduce the LAMOST Stellar Parameter Pipeline at Peking University --- LSP3, developed and implemented for the determinations of radial velocity $V_{\rm r}$ and stellar atmospheric parameters (effective temperature $T_{\rm eff}$, surface gravity ... More

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice QuestionsNov 21 2018Machine Reading Comprehension (MRC) with multiple-choice questions requires the machine to read given passage and select the correct answer among several candidates. In this paper, we propose a novel approach called Convolutional Spatial Attention (CSA) ... More

Consensus Attention-based Neural Networks for Chinese Reading ComprehensionJul 08 2016Mar 15 2018Reading comprehension has embraced a booming in recent NLP research. Several institutes have released the Cloze-style reading comprehension data, and these have greatly accelerated the research of machine comprehension. In this work, we firstly present ... More

Consensus Attention-based Neural Networks for Chinese Reading ComprehensionJul 08 2016Jul 17 2016Reading comprehension has embraced a booming in recent NLP research. Several institutes have released the Cloze-style reading comprehension data, and these have greatly accelerated the research of machine comprehension. In this work, we firstly present ... More

Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone MappingJul 29 2017Sep 11 2017Building on crucial insights into the determining factors of the visual integrity of an image and the property of deep convolutional neural network (CNN), we have developed the Deep Feature Consistent Deep Image Transformation (DFC-DIT) framework which ... More

Perfectly Conducting Graphene Electronic Waveguide with Curved ChannelsApr 05 2017We theoretically investigate the electronic transport properties of curved graphene waveguides by employing non-equilibrium Green's function techniques. We systematically study the dependence of the confined waveguide modes on the potential difference, ... More

X-GANs: Image Reconstruction Made Easy for Extreme CasesAug 06 2018Image reconstruction including image restoration and denoising is a challenging problem in the field of image computing. We present a new method, called X-GANs, for reconstruction of arbitrary corrupted resource based on a variant of conditional generative ... More

Characterization of inclusion relations between wiener amalgam and some classical spacesSep 17 2016Sep 27 2016In this paper, we establish the sharp conditions for the inclusion relations between Besov spaces $B_{p,q}$ and Wiener amalgam spaces $W_{p,q}^s$. We also obtain the optimal inclusion relations between local hardy spaces $h^p$ and Wiener amalgam spaces ... More

The Navier-Stokes-$α$ equation via forward-backward stochastic differential systemsOct 28 2016In this paper, we use forward-backward stochastic differential systems to study the solution of two and d dimensional ($d\geq 3$) Navier-Stokes-$\alpha$ equation. For the two dimensional Navier-Stokes-$\alpha$ equation with space periodic boundary conditions, ... More

End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial NetworksFeb 04 2019Single image defogging is a classical and challenging problem in computer vision. Existing methods towards this problem mainly include handcrafted priors based methods that rely on the use of the atmospheric degradation model and learning based approaches ... More

Broadband second harmonic generation in whispering gallery mode resonatorsMar 15 2013Optical frequency conversion processes in nonlinear materials are limited in wavelength by the accessible phase matching and the required high pump powers. In this letter, we report a novel broadband phase matching (PM) technique in high quality factor ... More

Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun ResolutionJun 06 2016Jun 17 2016Most existing approaches for zero pronoun resolution are supervised approaches, where annotated data are released by shared task organizers. Therefore, the lack of annotated data becomes a major obstacle in zero pronoun resolution task. The existing approaches ... More

Improved magnetogram calibration of SMFT and its comparison with the HMISep 17 2014In this paper, we try to improve the magnetogram calibration method of the Solar Magnetic Field Telescope (SMFT). The improved calibration process fits the observed full Stokes information, using six points on the profile of Fe {\i} 5324.18 {\AA} line, ... More

Interference of surface plasmon polaritons from a "point" sourceDec 30 2010The interference patterns of the surface plasmon polaritons(SPPs) on the metal surface from a "point" source are observed. These interference patterns come from the forward SPPs and the reflected one from the obstacles, such as straightedge,corner, and ... More

A Span-Extraction Dataset for Chinese Machine Reading ComprehensionOct 17 2018Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, the existing reading comprehension datasets are mostly in English. In this paper, we introduce a Span-Extraction dataset for Chinese ... More

HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading ComprehensionMar 15 2018This paper describes the system which got the state-of-the-art results at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge. In this paper, we present a neural network called Hybrid Multi-Aspects (HMA) model, which mimic the human's ... More

Pre-Training with Whole Word Masking for Chinese BERTJun 19 2019Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks. Recently, an upgraded version of BERT has been released with Whole Word Masking (WWM), which mitigate the drawbacks of masking partial ... More

Attention-over-Attention Neural Networks for Reading ComprehensionJul 15 2016Aug 04 2016Cloze-style queries are representative problems in reading comprehension. Over the past few months, we have seen much progress that utilizing neural network approach to solve Cloze-style questions. In this paper, we present a novel model called attention-over-attention ... More

Single-shot realization of nonadiabatic holonomic gates with a superconducting Xmon qutritNov 15 2018Nonadiabatic holonomic quantum computation has received increasing attention due to its robustness against control errors as well as high-speed realization. The original protocol of nonadiabatic holonomic one-qubit gates has been experimentally demonstrated ... More

Sharp estimates of unimodular Fourier multipliers on Wiener amalgam spacesJul 02 2018Oct 16 2018We study the boundedness on the Wiener amalgam spaces $W^{p,q}_s$ of Fourier multipliers with symbols of the type $e^{i\mu(\xi)}$, for some real-valued functions $\mu(\xi)$ whose prototype is $|\xi|^{\beta}$ with $\beta\in (0,2]$. Under some suitable ... More

Doubly and triply coupled nanowire antennasMar 20 2012Nanoantenna is one of the most important optical components for light harvesting. In this study, we show experimental evidence of interactions between coupled nanowires by comparing the fluorescence properties of quantum dots on both non-coupled (single) ... More

Lower Bound Approximation to Basket Option Values for Local Volatility Jump-Diffusion ModelsDec 13 2012Oct 12 2013In this paper we derive an easily computed approximation to European basket call prices for a local volatility jump-diffusion model. We apply the asymptotic expansion method to find the approximate value of the lower bound of European basket call prices. ... More

Hausdorff operators on the Sobolev spaces $W^{k,1}$Oct 29 2017Mar 07 2018This paper is served as a first contribution regarding the boundedness of Hausdorff operators on function spaces with smoothness. The sharp conditions are established for boundedness of Hausdorff operators on Sobolev spaces $W^{k,1}$. As applications, ... More

Learning Deep Image Priors for Blind Image DenoisingJun 04 2019Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realistic domain. In this paper, we propose an effective image denoising method ... More

Random Forest for Label RankingAug 27 2016Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels. Random forest is a powerful and one of the most successfully general-purpose machine learning algorithms of modern times. In the literature, there ... More

Unimodular multipliers on $α$-modulation spaces: A revisit with new method under weaker conditionsMar 16 2019By a new method derived from Nicola--Primo--Tabacco[24], we study the boundedness on $\alpha$-modulation spaces of unimodular multipliers with symbol $e^{i\mu(\xi)}$. Comparing with the previous results, the boundedness result is established for a larger ... More

EKT: Exercise-aware Knowledge Tracing for Student Performance PredictionJun 07 2019For offering proactive services to students in intelligent education, one of the fundamental tasks is predicting their performance (e.g., scores) on future exercises, where it is necessary to track each student's knowledge acquisition during her exercising ... More

University-Industry-Government Relations in China: An emergent national system of innovationsDec 14 2010Since 1992, a new Chinese innovation system has been emerging in terms of university-industry-government relations. In recent years, science parks, incubators, and high-tech development zones have been provided with strong incentives. The commitment of ... More

Image Companding and Inverse Halftoning using Deep Convolutional Neural NetworksJul 01 2017Jul 21 2017In this paper, we introduce deep learning technology to tackle two traditional low-level image processing problems, companding and inverse halftoning. We make two main contributions. First, to the best knowledge of the authors, this is the first work ... More

Basket Options Valuation for a Local Volatility Jump-Diffusion Model with the Asymptotic Expansion MethodMar 09 2010In this paper we discuss the basket options valuation for a jump-diffusion model. The underlying asset prices follow some correlated local volatility diffusion processes with systematic jumps. We derive a forward partial integral differential equation ... More

Characterization and Modeling of 0.18μm CMOS Technology at sub-Kelvin TemperatureNov 30 2018Previous cryogenic electronics studies are most above 4.2K. In this paper we present the cryogenic characterization of a 0.18{\mu}m standard bulk CMOS technology(1.8V and 5V) at sub-kelvin temperature around 270mK. PMOS and NMOS devices with different ... More

Random Forest for Label RankingAug 27 2016Jun 16 2018Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels. Random forest is a powerful and one of the most successful general-purpose machine learning algorithms of modern times. In this paper, we present ... More

The First Evaluation of Chinese Human-Computer Dialogue TechnologySep 29 2017In this paper, we introduce the first evaluation of Chinese human-computer dialogue technology. We detail the evaluation scheme, tasks, metrics and how to collect and annotate the data for training, developing and test. The evaluation includes two tasks, ... More

High-Sensitivity Temperature Sensing Using an Implanted Single Nitrogen-Vacancy Center Array in DiamondOct 25 2014We presented a high-sensitivity temperature detection using an implanted single Nitrogen-Vacancy center array in diamond. The high-order Thermal Carr-Purcell-Meiboom-Gill (TCPMG) method was performed on the implanted single nitrogen vacancy (NV) center ... More

Coherence times of precisely depth controlled NV centers in diamondJul 22 2015Jul 23 2015We investigated the depth dependence of coherence times of nitrogen-vacancy (NV) centers through precisely depth controlling by a moderately oxidative at 580{\deg}C in air. By successive nanoscale etching, NV centers could be brought close to the diamond ... More

Experimental demonstration of work fluctuations along a shortcut to adiabaticity with a superconducting Xmon qubitMay 28 2018In a `shortcut-to-adiabaticity' (STA) protocol, the counter-diabatic Hamiltonian, which suppresses the non-adiabatic transition of a reference `adiabatic' trajectory, induces a quantum uncertainty of the work cost in the framework of quantum thermodynamics. ... More

The experimental realization of high-fidelity `shortcut-to-adiabaticity' quantum gates in a superconducting Xmon qubitApr 23 2018Based on a `shortcut-to-adiabaticity' (STA) scheme, we theoretically design and experimentally realize a set of high-fidelity single-qubit quantum gates in a superconducting Xmon qubit system. Through a precise microwave control, the qubit is driven to ... More

AADS: Augmented Autonomous Driving Simulation using Data-driven AlgorithmsJan 23 2019Simulation systems have become an essential component in the development and validation of autonomous driving technologies. The prevailing state-of-the-art approach for simulation is to use game engines or high-fidelity computer graphics (CG) models to ... More

A stochastic variational approach to the viscous Camassa-Holm and Leray-alpha equationsAug 17 2015May 04 2016We derive the (d-dimensional) periodic incompressible and viscous Camassa-Holm equation as well as the Leray-alpha equations via a stochastic variational principle. We discuss the existence of solution for this equation in the space H1 using the probabilistic ... More

KCAT: A Knowledge-Constraint Typing Annotation ToolJun 13 2019Fine-grained Entity Typing is a tough task which suffers from noise samples extracted from distant supervision. Thousands of manually annotated samples can achieve greater performance than millions of samples generated by the previous distant supervision ... More

Experimental realization of a fast controlled-Z gate via a shortcut-to-adiabaticityNov 20 2018For a frequency-tunable two-qubit system, a controlled-Z (CZ) gate can be realized by adiabatically driving the qubit system through an avoided level crossing between an auxiliary state and computational levels. Here, we theoretically propose a fast CZ ... More

On the dispersion management of fluorite whispering-gallery mode resonators for Kerr optical frequency comb generation in the telecom and mid-infrared rangeJan 10 2015Optical whispering gallery mode (WGM) resonators have been very attracting platforms for versatile Kerr frequency comb generations. We report a systematic study on the material dispersion of various optical materials that are capable of supporting quality ... More

Relative Geometry-Aware Siamese Neural Network for 6DOF Camera RelocalizationJan 04 2019Jan 21 20196DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In this paper, we present a novel relative geometry-aware Siamese neural network ... More

Back-action Driven Electron Spin Singlet-Triplet Excitation in a GaAs Quantum DotSep 26 2011Nov 16 2011In a single quantum dot (QD), the electrons were driven out of thermal equilibrium by the back-action from a nearby quantum point contact (QPC). We found the driving to energy excited states can be probed with the random telegraph signal (RTS) statistics, ... More

Electron Spin Excited States Spectroscopy in a Quantum Dot Probed by QPC Back-actionDec 11 2011The quantum point contact (QPC) back-action has been found to cause non-thermal-equilibrium excitations to the electron spin states in a quantum dot (QD). Here we use back-action as an excitation source to probe the spin excited states spectroscopy for ... More

Side Window FilteringMay 17 2019Local windows are routinely used in computer vision and almost without exception the center of the window is aligned with the pixels being processed. We show that this conventional wisdom is not universally applicable. When a pixel is on an edge, placing ... More

A decade of skyrmionics: Writing, deleting, reading and processing magnetic skyrmions toward spintronic applicationsJun 11 2019Jun 12 2019The field of skyrmionics has been actively investigated across a wide range of topics during the last decade. In this topical review, we review and discuss key results and findings in skyrmionics since the first experimental observation of magnetic skyrmions ... More

Polarization conversion loss in birefringent crystalline resonatorsApr 03 2013Whispering gallery modes in birefringent crystalline resonators are investigated. We experimentally investigate the XY--cut resonators made with LiNbO$_3$, LiTaO$_3$ and BBO and observe strong influence of the resonator's shape and birefringence on the ... More

Hausdorff operators on modulation and Wiener amalgam spacesSep 24 2017We give the sharp conditions for boundedness of Hausdorff operators on certain modulation and Wiener amalgam spaces.

Inclusion relations between Modulation and Triebel-Lizorkin spacesSep 17 2016In this paper, we obtain the sharp conditions of the inclusion relations between modulation spaces $M_{p,q}^s$ and Triebel-Lizorkin spaces $F_{p,r}$ for $p\leq 1$, which greatly improve and extend the results for the embedding relations between local ... More

Sharp embedding relations between Local Hardy and $α$-Modulation SpacesSep 17 2016We give the optimal embedding relations between local Hardy space and $\alpha$-modulation spaces, which extend the results for the embedding relations between local Hardy and modulation spaces obtained by Kobayashi, Miyachi and Tomita in [Studia Math. ... More

LAMOST Spectroscopic Survey of the Galactic Anti-centre (LSS-GAC): target selection and the first release of value-added cataloguesDec 20 2014As a major component of the LAMOST Galactic surveys, the LAMOST Spectroscopic Survey of the Galactic Anti-centre (LSS-GAC) aims to survey a significant volume of the Galactic thin/thick discs and halo for a contiguous sky area of over 3,400 deg$^2$ centred ... More

Control with Distributed Deep Reinforcement Learning: Learn a Better PolicyNov 26 2018Nov 30 2018Distributed approach is a very effective method to improve training efficiency of reinforcement learning. In this paper, we propose a new heuristic distributed architecture for deep reinforcement learning (DRL) algorithm, in which a PSO based network ... More

Relative Flux Calibration of the LAMOST Spectroscopic Survey of the Galactic Anti-centerDec 20 2014We have developed and implemented an iterative algorithm of flux calibration for the LAMOST Spectroscopic Survey of the Galactic anti-center (LSS-GAC). For a given LSS-GAC plate, the spectra are first processed with a set of nominal spectral response ... More

FrameRank: A Text Processing Approach to Video SummarizationApr 11 2019Apr 12 2019Video summarization has been extensively studied in the past decades. However, user-generated video summarization is much less explored since there lack large-scale video datasets within which human-generated video summaries are unambiguously defined ... More

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUsNov 13 2018In recent years, there is a surge on machine learning applications in industry. Many of them are based on popular AI frameworks like Tensorflow, Torch, Caffe, or MxNet, etc, and are enpowered by accelerator platforms such as GPUs. One important challenge ... More

Sharp Weighted Convolution Inequalities and Some ApplicationsFeb 09 2016Sep 06 2017In this paper, the index groups for which the weighted Young's inequalities hold in both continuous case and discrete case are characterized. As applications, the index groups for the product inequalities on modulation spaces are characterized, we also ... More

Sharp Weighted Convolution Inequalities and Some ApplicationsFeb 09 2016In this paper, the index groups for which the weighted Young's inequalities hold in both continuous case and discrete case are characterized. As applications, the index groups for the product inequalities on modulation spaces are characterized, we also ... More

Language-Independent Representor for Neural Machine TranslationNov 01 2018Current Neural Machine Translation (NMT) employs a language-specific encoder to represent the source sentence and adopts a language-specific decoder to generate target translation. This language-dependent design leads to large-scale network parameters ... More

FrameRank: A Text Processing Approach to Video SummarizationApr 11 2019Video summarization has been extensively studied in the past decades. However, user-generated video summarization is much less explored since there lack large-scale video datasets within which human-generated video summaries are unambiguously defined ... More

Electron Number Dependence of Spin Triplet-Singlet Relaxation TimeMay 07 2012In a GaAs single quantum dot, the relaxation time T_{1} between spin triplet and singlet states has been measured for the last few even number of electrons. The singlet-triplet energy separation E_{ST} is tuned as a control parameter for the comparison ... More

Strong Gravitational Lensing in a Brane-World Black HoleJun 28 2015Adopting the strong field limit approach, we investigated the strong gravitational lensing in a Brane-World black hole, which means that the strong field limit coefficients and the deflection angle in this gravitational field are obtained. With this result, ... More

Full Characterization of embedding relations between alpha modulation spacesJun 04 2016Jul 21 2016In this paper, we consider the embedding relations between any two $\alpha$% -modulation spaces. Based on an observation that the $\alpha$-modulation space with smaller $\alpha$ can be regarded as a corresponding $\alpha$% -modulation space with larger ... More

Characterization of 0.18μm CMOS Ring Oscillator at Liquid Helium TemperatureMay 23 2019This paper presents low power dissipation, low phase noise ring oscillators (ROs) based on Semiconductor Manufacturing International Corporation (SMIC) 0.18{\mu}m CMOS technology at liquid helium temperature (LHT). First, the characterization and modelling ... More

Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial TrainingJun 04 2019We present a new method for improving the performances of variational autoencoder (VAE). In addition to enforcing the deep feature consistent principle thus ensuring the VAE output and its corresponding input images to have similar deep features, we also ... More

Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology ParametersJul 05 2013In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal, tumour classification ... More

Characterization of Some Properties on Weighted Modulation SpacesFeb 09 2016In this paper, some properties on weighted modulation and Wiener amalgam spaces are characterized by the corresponding properties on weighted Lebesgue spaces. As applications, sharp conditions for product inequalities, convolution inequalities and embedding ... More

Strong Gravitational Lensing in the Einstein-Proca TheoryJun 29 2015Adopting the strong field limit approach, we investigate the strong gravitational lensing of a spherically symmetric spacetime in the Einstein-Proca theory. With the strong field limit coefficient, three observable quantities are obtained, which are the ... More

MOSFET Characterization and Modeling at Cryogenic TemperaturesNov 25 2018Cryogenic CMOS technology (cryo-CMOS) offers a scalable solution for quantum device interface fabrication. Several previous works have studied the characterization of CMOS technology at cryogenic temperatures for various process nodes. However, CMOS characteristics ... More

Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GANJul 12 2019Studies show that Deep Neural Network (DNN)-based image classification models are vulnerable to maliciously constructed adversarial examples. However, little effort has been made to investigate how DNN-based image retrieval models are affected by such ... More

Object Specific Deep Learning Feature and Its Application to Face DetectionSep 06 2016We present a method for discovering and exploiting object specific deep learning features and use face detection as a case study. Motivated by the observation that certain convolutional channels of a Convolutional Neural Network (CNN) exhibit object specific ... More

LAMOST Spectroscopic Survey of the Galactic Anticentre (LSS-GAC): the second release of value-added cataloguesJan 19 2017We present the second release of value-added catalogues of the LAMOST Spectroscopic Survey of the Galactic Anticentre (LSS-GAC DR2). The catalogues present values of radial velocity $V_{\rm r}$, atmospheric parameters --- effective temperature $T_{\rm ... More

Optimal Distributed Stochastic Mirror Descent for Strongly Convex OptimizationOct 15 2016In this paper we consider convergence rate problems for stochastic strongly-convex optimization in the non-Euclidean sense with a constraint set over a time-varying multi-agent network. We propose two efficient non-Euclidean stochastic subgradient descent ... More

GPU-FV: Realtime Fisher Vector and Its Applications in Video MonitoringApr 12 2016Fisher vector has been widely used in many multimedia retrieval and visual recognition applications with good performance. However, the computation complexity prevents its usage in real-time video monitoring. In this work, we proposed and implemented ... More

Deep Feature Consistent Variational AutoencoderOct 02 2016We present a novel method for constructing Variational Autoencoder (VAE). Instead of using pixel-by-pixel loss, we enforce deep feature consistency between the input and the output of a VAE, which ensures the VAE's output to preserve the spatial correlation ... More

Automatic Visual Theme Discovery from Joint Image and Text CorporaSep 07 2016A popular approach to semantic image understanding is to manually tag images with keywords and then learn a mapping from vi- sual features to keywords. Manually tagging images is a subjective pro- cess and the same or very similar visual contents are ... More

A New Splitting Method for Time-dependent Convection-dominated Diffusion ProblemsFeb 17 2013We present a new splitting method for time-dependent convection-dominated diffusion problems. The original convection diffusion system is split into two sub-systems: a pure convection system and a diffusion system. At each time step, a convection problem ... More

In-the-wild Facial Expression Recognition in Extreme PosesNov 06 2018In the computer research area, facial expression recognition is a hot research problem. Recent years, the research has moved from the lab environment to in-the-wild circumstances. It is challenging, especially under extreme poses. But current expression ... More

Optimal Distributed Stochastic Mirror Descent for Strongly Convex OptimizationOct 15 2016Aug 22 2018In this paper we consider convergence rate problems for stochastic strongly-convex optimization in the non-Euclidean sense with a constraint set over a time-varying multi-agent network. We propose two efficient non-Euclidean stochastic subgradient descent ... More

Non-flow correlations in a cluster modelDec 05 2008Jun 17 2010We derive analytical forms for nonflow contributions from cluster correlation to the measurement of two-particle elliptic flow (v2{2}). We estimate nonflow contribution from rho->pi+pi decays and find it is negative but not a major contributor to the ... More

Quantization of adiabatic pumped charge in the presence of superconducting leadFeb 20 2002We investigate the parametric electron pumping of a double barrier structure in the presence of a superconducting lead. The parametric pumping is facilitated by cyclic variation of the barrier heights $x_1$ and $x_2$ of the barriers. In the weak coupling ... More

Twisted Dirac Operators and the Noncommutative Residue for Manifolds with BoundaryApr 09 2014In this paper, we give two Lichnerowicz type formulas for Dirac operators and signature operators twisted by a vector bundle with a non-unitary connection. We also prove two Kastler-Kalau-Walze type theorems for twisted Dirac operators and twisted signature ... More

Deterministic Analysis of Weighted BPDN With Partially Known Support InformationMar 03 2019In this paper, with the aid of the powerful Restricted Isometry Constant (RIC), a deterministic (or say non-stochastic) analysis, which includes a series of sufficient conditions (related to the RIC order) and their resultant error estimates, is established ... More

The parameters of a family of linear codesMar 09 2019A large family of linear codes with flexible parameters from almost bent functions and perfect nonlinear functions are constructed and their parameters are determined. Some constructed linear codes and their related codes are optimal in the sense that ... More

A Simple and Space Efficient Segment Tree ImplementationJul 14 2018The segment tree is an extremely versatile data structure. In this paper, a new heap based implementation of segment trees is proposed. In such an implementation of segment tree, the structural information associated with the tree nodes can be removed ... More

Oseba: Optimization for Selective Bulk Analysis in Big Data ProcessingJul 12 2017Selective bulk analyses, such as statistical learning on temporal/spatial data, are fundamental to a wide range of contemporary data analysis. However, with the increasingly larger data-sets, such as weather data and marketing transactions, the data organization/access ... More

On explicit factors of Cyclotomic polynomials over finite fieldsNov 22 2010We study the explicit factorization of $2^n r$-th cyclotomic polynomials over finite field $\mathbb{F}_q$ where $q, r$ are odd with $(r, q) =1$. We show that all irreducible factors of $2^n r$-th cyclotomic polynomials can be obtained easily from irreducible ... More

On the boundary between qualitative and quantitative measures of causal effectsNov 13 2017Jul 09 2018Causal relationships among variables are commonly represented via directed acyclic graphs. There are many methods in the literature to quantify the strength of arrows in a causal acyclic graph. These methods, however, have undesirable properties when ... More