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Privacy-Protective-GAN for Face De-identificationJun 23 2018Face de-identification has become increasingly important as the image sources are explosively growing and easily accessible. The advance of new face recognition techniques also arises people's concern regarding the privacy leakage. The mainstream pipelines ... More

DIEL: Transparent Scaling for Interactive VisualizationJun 28 2019We live in an era of big data and rich data visualization. As data sets increase in size, browser-based interactive visualizations eventually hit limits in storage and processing capacity. In order to provide interactivity over large datasets, visualization ... More

Conservative BanditsFeb 13 2016We study a novel multi-armed bandit problem that models the challenge faced by a company wishing to explore new strategies to maximize revenue whilst simultaneously maintaining their revenue above a fixed baseline, uniformly over time. While previous ... More

Context-Aware Online Learning for Course Recommendation of MOOC Big DataOct 11 2016Oct 16 2016The Massive Open Online Course (MOOC) has expanded significantly in recent years. With the widespread of MOOC, the opportunity to study the fascinating courses for free has attracted numerous people of diverse educational backgrounds all over the world. ... More

Resource Allocation for a Wireless Powered Integrated Radar and Communication SystemSep 02 2018The integrated radar and communication system is promising in the next generation wireless communication networks. However, its performance is confined by the limited energy. In order to overcome it, a wireless powered integrated radar and communication ... More

Topological Quantum Field Theory via Chren-Simons Theory, part 1Dec 02 2011To understand what does Chern-Simons with compact Lie group(does not like Dijkgraaf-Witten model with finite group in 3d) attach to a point, we first give a construction of Topological Quantum Field Theory(TQFT) via Chern-Simons theory in this paper. ... More

Enriching Pre-trained Language Model with Entity Information for Relation ClassificationMay 20 2019Relation classification is an important NLP task to extract relations between entities. The state-of-the-art methods for relation classification are primarily based on Convolutional or Recurrent Neural Networks. Recently, the pre-trained BERT model achieves ... More

MarrNet: 3D Shape Reconstruction via 2.5D SketchesNov 08 20173D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes. This introduces challenges for learning-based approaches, as 3D object annotations are scarce in real images. Previous ... More

DevRank: Mining Influential Developers In GithubOct 28 2017As the social coding is becoming increasingly popular, understanding the influence of developers can benefit various applications, such as advertisement for new projects and innovations. However, most existing works have focused only on ranking influential ... More

Large time behavior for the non-isentropic Navier-Stokes-Maxwell systemDec 06 2015Dec 28 2015In this paper, we are concerned with the system of the non-isentropic compressible Navier-Stokes equations coupled with the Maxwell equations through the Lorentz force in three space dimensions. The global existence of solutions near constant steady states ... More

Tunable magnetization relaxation of Fe_{2}Cr_{1-x}Co_{x}Si half-metallic Heusler alloys by band structure engineeringNov 01 2017We report a systematic investigation on the magnetization relaxation properties of iron-based half-metallic Heusler alloy Fe$_{2}$Cr$_{1-x}$Co_${x}$Si (FCCS) thin films using broadband angular-resolved ferromagnetic resonance. Band structure engineering ... More

Online Learning with Gaussian Payoffs and Side ObservationsOct 27 2015We consider a sequential learning problem with Gaussian payoffs and side information: after selecting an action $i$, the learner receives information about the payoff of every action $j$ in the form of Gaussian observations whose mean is the same as the ... More

Rational torsion on the generalized Jacobian of a modular curve with cuspidal modulusJun 20 2016We consider the generalized Jacobian $\widetilde{J}_0(N)$ of a modular curve $X_0(N)$ with respect to a reduced divisor given by the sum of all cusps on it. When $N$ is a power of a prime $\geq 5$, we exhibit that the group of rational torsion points ... More

The smallest parts function associated with $ω(q)$Dec 02 2018We establish two families of congruences modulo powers of 5 for the Fourier coefficients of $(2E_2(2\tau)-E_2(\tau))\eta(2\tau)^{-1}$, where $E_2(\tau)$ is the weight 2 Eisenstein series and $\eta(\tau)$ is the Dedekind eta function. This allows us to ... More

Twisted Hecke L-values and period polynomialsMar 27 2009Let $f_1,...,f_d$ be an orthogonal basis for the space of cusp forms of even weight $2k$ on $\Gamma_0(N)$. Let $L(f_i,s)$ and $L(f_i,\chi,s)$ denote the $L$-function of $f_i$ and its twist by a Dirichlet character $\chi$, respectively. In this note, we ... More

Counting maximal near perfect matchings in quasirandom and dense graphsJul 12 2018Feb 05 2019A maximal $\varepsilon$-near perfect matching is a maximal matching which covers at least $(1-\varepsilon)|V(G)|$ vertices. In this paper, we study the number of maximal near perfect matchings in generalized quasirandom and dense graphs. We provide tight ... More

The Laplacian in RL: Learning Representations with Efficient ApproximationsOct 10 2018The smallest eigenvectors of the graph Laplacian are well-known to provide a succinct representation of the geometry of a weighted graph. In reinforcement learning (RL), where the weighted graph may be interpreted as the state transition process induced ... More

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient DescentFeb 13 2018Feb 10 2019A major challenge in understanding the generalization of deep learning is to explain why (stochastic) gradient descent can exploit the network architecture to find solutions that have good generalization performance when using high capacity models. We ... More

Securely Trading Unverifiable Information without TrustMar 18 2019In future, information may become one of the most important assets in economy. However, unlike common goods (e.g. clothing), information is troublesome in trading since the information commodities are \emph{vulnerable}, as they lose their values immediately ... More

The Genus of a Random Bipartite GraphDec 28 2017Apr 12 2018Archdeacon and Grable (1995) proved that the genus of the random graph $G\in\mathcal{G}_{n,p}$ is almost surely close to $pn^2/12$ if $p=p(n)\geq3(\ln n)^2n^{-1/2}$. In this paper we prove an analogous result for random bipartite graphs in $\mathcal{G}_{n_1,n_2,p}$. ... More

Differential equations satisfied by modular forms and K3 surfacesJun 28 2005Aug 18 2006We study differential equations satisfied by modular forms associated to $\Gamma_1\times\Gamma_2$, where $\Gamma_i (i=1,2)$ are genus zero subgroups of $SL_2(\mathbf R)$ commensurable with $SL_2(\mathbf Z)$, e.g., $\Gamma_0(N)$ or $\Gamma_0(N)^*$. In ... More

Programming with Timespans in Interactive VisualizationsJun 28 2019Modern interactive visualizations are akin to distributed systems, where user interactions, background data processing, remote requests, and streaming data read and modify the interface at the same time. This concurrency is crucial to provide an interactive ... More

Can Early Joining Participants Contribute More? - Timeliness Sensitive Incentivization for CrowdsensingOct 05 2017This paper investigates the incentive mechanism design from a novel and practically important perspective in which mobile users as contributors do not join simultaneously and a requester desires large efforts from early contributors. A two-stage Tullock ... More

Quaternionic loci in Siegel's modular threefoldJul 02 2018Let $\mathcal Q_D$ be the set of moduli points on Siegel's modular threefold whose corresponding principally polarized abelian surfaces have quaternionic multiplication by a maximal order $\mathcal O$ in an indefinite quaternion algebra of discriminant ... More

Convergence of Contrastive Divergence Algorithm in Exponential FamilyMar 17 2016May 06 2016This paper studies the convergence properties of contrastive divergence algorithm for parameter inference in exponential family, by relating it to Markov chain theory and stochastic stability literature. We prove that, under mild conditions and given ... More

Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPCMay 16 2017Fault tolerance is one of the major design goals for HPC. The emergence of non-volatile memories (NVM) provides a solution to build fault tolerant HPC. Data in NVM-based main memory are not lost when the system crashes because of the non-volatility nature ... More

The quadratic Wasserstein metric for earthquake locationOct 28 2017In [Engquist et al., Commun. Math. Sci., 14(2016)], the Wasserstein metric was successfully introduced to the full waveform inversion. We apply this method to the earthquake location problem. For this problem, the seismic stations are far from each other. ... More

A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First PrincipleJun 28 2018Jan 07 2019Task parallelism is designed to simplify the task of parallel programming. When executing a task parallel program on modern NUMA architectures, it can fail to scale due to the phenomenon called work inflation, where the overall processing time that multiple ... More

CAVBench: A Benchmark Suite for Connected and Autonomous VehiclesOct 15 2018Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, software frameworks, and applications on the CAVs scenario have emerged. Meanwhile, ... More

Predicting Academic Performance for College Students: A Campus Behavior PerspectiveMar 15 2019Detecting abnormal behaviors of students in time and providing personalized intervention and guidance at the early stage is important in educational management. Academic performance prediction is an important building block to enabling this pre-intervention ... More

Domain Adaptation with Asymmetrically-Relaxed Distribution AlignmentMar 05 2019Domain adaptation addresses the common problem when the target distribution generating our test data drifts from the source (training) distribution. While absent assumptions, domain adaptation is impossible, strict conditions, e.g. covariate or label ... More

Prostate segmentation using Z-netJan 18 2019In this paper, we proposed a novel architecture of convolutional neural network (CNN), namely Z-net, for segmenting prostate from magnetic resonance images (MRIs). In the proposed Z-net, 5 pairs of Z-block and decoder Z-block with different sizes and ... More

Domain Adaptation with Asymmetrically-Relaxed Distribution AlignmentMar 05 2019Mar 11 2019Domain adaptation addresses the common problem when the target distribution generating our test data drifts from the source (training) distribution. While absent assumptions, domain adaptation is impossible, strict conditions, e.g. covariate or label ... More

Enhanced generative adversarial network for 3D brain MRI super-resolutionJul 10 2019Single image super-resolution (SISR) reconstruction for magnetic resonance imaging (MRI) has generated significant interest because of its potential to not only speed up imaging but to improve quantitative processing and analysis of available image data. ... More

Context-Aware Online Learning for Course Recommendation of MOOC Big DataOct 11 2016The Massive Open Online Course (MOOC) has expanded significantly in recent years. With the widespread of MOOC, the opportunity to study the fascinating courses for free has attracted numerous people of diverse educational backgrounds all over the world. ... More

Convergence of Contrastive Divergence Algorithm in Exponential FamilyMar 17 2016Feb 27 2018The Contrastive Divergence (CD) algorithm has achieved notable success in training energy-based models including Restricted Boltzmann Machines and played a key role in the emergence of deep learning. The idea of this algorithm is to approximate the intractable ... More

CPAR: Cloud-Assisted Privacy-preserving Image Annotation with Randomized KD-ForestNov 10 2018Feb 12 2019With the explosive growth in the number of pictures taken by smartphones, organizing and searching pictures has become important tasks. To efficiently fulfill these tasks, the key enabler is annotating images with proper keywords, with which keyword-based ... More

Modular Forms and $k$-colored Generalized Frobenius PartitionsJun 09 2017Let $k$ and $n$ be positive integers. Let $c\phi_{k}(n)$ denote the number of $k$-colored generalized Frobenius partitions of $n$ and $\mathrm{C}\Phi_k(q)$ be the generating function of $c\phi_{k}(n)$. In this article, we study $\mathrm{C}\Phi_k(q)$ using ... More

Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local MinimizersNov 22 2017Jun 29 2018Many optimization algorithms converge to stationary points. When the underlying problem is nonconvex, they may get trapped at local minimizers and occasionally stagnate near saddle points. We propose the Run-and-Inspect Method, which adds an "inspect" ... More

Encrypted Speech Recognition using Deep Polynomial NetworksMay 11 2019The cloud-based speech recognition/API provides developers or enterprises an easy way to create speech-enabled features in their applications. However, sending audios about personal or company internal information to the cloud, raises concerns about the ... More

Vehicular Edge Cloud Computing: Depressurize the Intelligent Vehicles Onboard Computational PowerJan 11 2019Recently, with the rapid development of autonomous vehicles and connected vehicles, the demands of vehicular computing keep continuously growing. We notice a constant and limited onboard computational ability can hardly keep up with the rising requirements ... More

A Simple Approach to Learn Polysemous Word EmbeddingsJul 06 2017Aug 14 2017Many NLP applications require disambiguating polysemous words. Existing methods that learn polysemous word vector representations involve first detecting various senses and optimizing the sense-specific embeddings separately, which are invariably more ... More

Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of BuildingsJul 25 2018Jul 27 2018As an important branch of deep learning, convolutional neural network has largely improved the performance of building detection. For further accelerating the development of building detection toward automatic mapping, a benchmark dataset bears significance ... More

Making Sense of Asynchrony in Interactive Data VisualizationsJun 05 2018Asynchronous interfaces allow users to concurrently issue requests while existing ones are processed. While it is widely used to support non-blocking input when there is latency, it's not clear if people can make use of asynchrony as the data is updating, ... More

Differentiable Surface Splatting for Point-based Geometry ProcessingJun 10 2019We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function. Regularization terms are ... More

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imagingNov 08 2018Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available. Thus, we propose Repetitive Motion Estimation Network (RMEN) to recover cardiac and respiratory signals. It learns the spatio-temporal ... More

Planar Object Tracking in the Wild: A BenchmarkMar 23 2017May 22 2018Planar object tracking is an actively studied problem in vision-based robotic applications. While several benchmarks have been constructed for evaluating state-of-the-art algorithms, there is a lack of video sequences captured in the wild rather than ... More

Higher superconducting transition temperature by breaking the universal pressure relationJan 29 2019By investigating the bulk superconducting state via dc magnetization measurements, we have discovered a common resurgence of the superconductive transition temperatures (Tcs) of the monolayer Bi2Sr2CuO6+{\delta} (Bi2201) and bilayer Bi2Sr2CaCu2O8+{\delta} ... More

Generating Synthetic X-ray Images of a Person from the Surface GeometryMay 01 2018May 14 2018We present a novel framework that learns to predict human anatomy from body surface. Specifically, our approach generates a synthetic X-ray image of a person only from the person's surface geometry. Furthermore, the synthetic X-ray image is parametrized ... More

DAMPE silicon tracker on-board data compression algorithmMar 02 2015The Dark Matter Particle Explorer (DAMPE) is an upcoming scientific satellite mission for high energy gamma-ray, electron and cosmic rays detection. The silicon tracker (STK) is a sub detector of the DAMPE payload with an excellent position resolution ... More

Adaptive Cost-sensitive Online ClassificationApr 06 2018Cost-Sensitive Online Classification has drawn extensive attention in recent years, where the main approach is to directly online optimize two well-known cost-sensitive metrics: (i) weighted sum of sensitivity and specificity; (ii) weighted misclassification ... More

Differentiable Surface Splatting for Point-based Geometry ProcessingJun 10 2019Jun 14 2019We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function. Regularization terms are ... More

Patch-based Progressive 3D Point Set UpsamplingNov 27 2018Nov 29 2018We present a detail-driven deep neural network for point set upsampling. A high-resolution point set is essential for point-based rendering and surface reconstruction. Inspired by the recent success of neural image super-resolution techniques, we progressively ... More

Patch-based Progressive 3D Point Set UpsamplingNov 27 2018Mar 21 2019We present a detail-driven deep neural network for point set upsampling. A high-resolution point set is essential for point-based rendering and surface reconstruction. Inspired by the recent success of neural image super-resolution techniques, we progressively ... More

Quantum Transport and Band Structure Evolution under High Magnetic Field in Few-Layer TellureneJun 21 2018Quantum Hall effect (QHE) is a macroscopic manifestation of quantized states which only occurs in confined two-dimensional electron gas (2DEG) systems. Experimentally, QHE is hosted in high mobility 2DEG with large external magnetic field at low temperature. ... More

Trilateration-based Multi-hop for the Long Range Wide Area NetworkNov 15 2018Nov 20 2018Long Range Wide Area Network (LoRaWAN) has an open specification that defines the Medium Access Control (MAC) protocol for LoRa networks, mainly based on pure-Aloha with beacon option. The LoRaWAN has a star of star topology where end-devices are directly ... More

Long Range Wide Area Network: A Simulation Module for ns-3Nov 14 2018Nov 20 2018Long Range (LoRa) is a wireless communication technology for the Internet of Things (IoT), able to provide wide coverage networking to devices with low power consumption and low data-rate. This paper~proposes and describes a simulation module of LoRa ... More

Romans Supergravity from Five-Dimensional HologramsDec 29 2017Jan 22 2018We study five-dimensional superconformal field theories and their holographic dual, matter-coupled Romans supergravity. On the one hand, some recently derived formulae allow us to extract the central charges from deformations of the supersymmetric five-sphere ... More

Schwarzian differential equations and Hecke eigenforms on Shimura curvesOct 28 2011Let $X$ be a Shimura curve of genus zero. In this paper, we first characterize the spaces of automorphic forms on $X$ in terms of Schwarzian differential equations. We then devise a method to compute Hecke operators on these spaces. An interesting by-product ... More

Modular forms of half-integral weights on SL(2,Z)Oct 09 2011In this paper, we prove that, for an integer $r$ with $(r,6)=1$ and $0<r<24$ and a nonnegative even integer $s$, the set {\eta(24\tau)^rf(24\tau):f(\tau)\in M_s(1)} is isomorphic to S_{r+2s-1}^{\text{new}}(6,-(\frac8r),-(\frac{12}r))\otimes(\frac{12}\cdot) ... More

Optimizing Multi-hop Mechanism for the Long Range Wide Area NetworkNov 13 2018Nov 20 2018Long Range (LoRa) is a modem technology for wireless communication in the Internet of Things (IoT), which trades off low data-rate for low power consumption. Long Range Wide Area Network (LoRaWAN) has an open specification that determines the Medium Access ... More

Special values of hypergeometric functions and periods of CM elliptic curvesMar 27 2015Let $X_0^6(1)/W_6$ be the Atkin-Lehner quotient of the Shimura curve $X_0^6(1)$ associated to a maximal order in an indefinite quaternion algebra of discriminant $6$ over $\mathbb Q$. By realizing modular forms on $X_0^6(1)/W_6$ in two ways, one in terms ... More

Short-Packet Two-Way Amplify-and-Forward RelayingDec 11 2017This letter investigates an amplify-and-forward two-way relay network (TWRN) for short-packet communications. We consider a classical three-node TWRN consisting of two sources and one relay. Both two time slots (2TS) scheme and three time slots (3TS) ... More

Lightcone Modular Bootstrap and Pure GravityJun 10 2019Jul 07 2019We explore the large spin spectrum in two-dimensional conformal field theories with a finite twist gap, using the modular bootstrap in the lightcone limit. By recursively solving the modular crossing equations associated to different $PSL(2,\mathbb{Z})$ ... More

Ramanujan-type identities for Shimura curvesJan 15 2013Mar 25 2013In 1914, Ramanujan gave a list of 17 identities expressing $1/\pi$ as linear combinations of values of hypergeometric functions at certain rational numbers. Since then, identities of similar nature have been discovered by many authors. Nowadays, one of ... More

Body Joint guided 3D Deep Convolutional Descriptors for Action RecognitionApr 24 2017Apr 25 2017Three dimensional convolutional neural networks (3D CNNs) have been established as a powerful tool to simultaneously learn features from both spatial and temporal dimensions, which is suitable to be applied to video-based action recognition. In this work, ... More

Computing modular equations for Shimura curvesMay 23 2012Jun 04 2012In the classical setting, the modular equation of level $N$ for the modular curve $X_0(1)$ is the polynomial relation satisfied by $j(\tau)$ and $j(N\tau)$, where $j(\tau)$ is the standard elliptic $j$-function. In this paper, we will describe a method ... More

Apery limits and special values of L-functionsSep 12 2007We describe a general method to determine the Apery limits of a differential equation that have a modular-function origin. As a by-product of our analysis, we discover a family of identities involving the special values of L-functions associated with ... More

Identifiability of Electrical and Heat Transfer Parameters Using Coupled Boundary MeasurementsMar 05 2016In this paper, we show that a hybrid method using coupled boundary measurements can determine electrical conductivity, thermal conductivity, and the product of heat capacity and heat density within a bounded domain on the plane uniquely up to a boundary-fixing ... More

Notes on automorphisms of surfaces of general type with $p_g=0$ and $K^2=7$Aug 10 2014Let $S$ be a smooth minimal complex surface of general type with $p_g=0$ and $K^2=7$. We prove that any involution on $S$ is in the center of the automorphism group of $S$. As an application, we show that the automorphism group of an Inoue surface with ... More

Congruences of the partition functionApr 16 2009Let $p(n)$ denote the partition function. In this article, we will show that congruences of the form $$ p(m^j\ell^kn+B)\equiv 0\mod m \text{for all} n\ge 0 $$ exist for all primes $m$ and $\ell$ satisfying $m\ge 13$ and $\ell\neq 2,3,m$. Here the integer ... More

A Discrete Time-Switching Protocol for Wireless-Powered Communications with Energy AccumulationDec 10 2015This paper investigates a wireless-powered communication network (WPCN) setup with one multi-antenna access point (AP) and one single-antenna source. It is assumed that the AP is connected to an external power supply, while the source does not have an ... More

Attacking Hardware AES with DFAFeb 22 2019We present the first practical attack on a hardware AES accelerator with 256 bit embedded keys using DFA. We identify the challenges of adapting well-known theoretical AES DFA models to hardware under attack from voltage fault injection and present solutions ... More

Injecting Software Vulnerabilities with Voltage GlitchingFeb 14 2019We show how voltage glitching can cause timing violations in CMOS behavior. Then we attack a real, security hardened, consumer device to gain code execution and dump the secure boot ROM.

Commuting involutions on surfaces of general type with p_g=0 and K^2=7Apr 17 2014The aim of this article is to classify the pairs (S, G), where S is a smooth minimal surface of general type with p_g=0 and K^2=7, G is a subgroup of the automorphism group of S and G is isomorphic to the group $\mathbb{Z}_2^2$. The Inoue surfaces with ... More

Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered EnvironmentsOct 14 2017We present an algorithm for obtaining an optimal control policy for hybrid dynamical systems in cluttered environments. To the best of our knowledge, this is the first attempt to have a locally optimal solution for this specific problem setting. Our approach ... More

MeshNet: Mesh Neural Network for 3D Shape RepresentationNov 28 2018Mesh is an important and powerful type of data for 3D shapes and widely studied in the field of computer vision and computer graphics. Regarding the task of 3D shape representation, there have been extensive research efforts concentrating on how to represent ... More

PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape RecognitionAug 23 20183D object recognition has attracted wide research attention in the field of multimedia and computer vision. With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance. ... More

Modular unit and cuspidal divisor class groups of X_1(N)Dec 05 2007In this article, we consider the group $F_1^\infty(N)$ of modular units on $X_1(N)$ that have divisors supported on the cusps lying over $\infty$ of $X_0(N)$, called the $\infty$-cusps. For each positive integer $N$, we will give an explicit basis for ... More

Probing Axions with Event Horizon Telescope Polarimetric MeasurementsMay 06 2019With high spatial resolution, polarimetric imaging of a supermassive black hole, like M87$^\star$ or Sgr A$^\star$, by the Event Horizon Telescope can be used to probe the existence of ultralight bosonic particles, such as axions. Such particles can accumulate ... More

On the structure of (claw,bull)-free graphsDec 31 2018In this research, we determine the structure of (claw, bull)-free graphs. We show that every connected (claw, bull)-free graph is either an expansion of a path, an expansion of a cycle, or the complement of a triangle-free graph; where an expansion of ... More

Orderness Predicts Academic Performance: Behavioral Analysis on Campus LifestyleApr 12 2017Jun 30 2017Quantitative understanding of relationships between students' behavioral patterns and academic performances is a significant step towards personalized education. In contrast to previous studies that mainly based on questionnaire surveys, in this paper, ... More

Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)Sep 08 2016This is the arXiv index for the electronic proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016), which was held in Athens, Greece, September 19-21 2016. It contains the peer-reviewed and revised accepted ... More

Period polynomials and explicit formulas for Hecke operators on Γ_0(2)Aug 15 2006Jul 10 2007Let S_{w+2}(\Gamma_0(N)) be the vector space of cusp forms of weight w+2 on the congruence subgroup \Gamma_0(N). We first determine explicit formulas for period polynomials of elements in S_{w+2}(\Gamma_0(N)) by means of Bernoulli polynomials. When N=2, ... More

Maximal abelian extension of a modular curve unramified outside cuspsJan 19 2019Let $p$ be a prime number. Mazur proved that a geometrically maximal unramified abelian covering of $X_0(p)$ over $\mathbb Q$ is given by the Shimura covering $X_2(p) \to X_0(p)$, that is, a unique subcovering of $X_1(p) \to X_0(p)$ of degree $N_p := ... More

A Coloring Algorithm for Disambiguating Graph and Map DrawingsSep 01 2014Drawings of non-planar graphs always result in edge crossings. When there are many edges crossing at small angles, it is often difficult to follow these edges, because of the multiple visual paths resulted from the crossings that slow down eye movements. ... More

Approximated by finite-dimensional homomorphisms into Simple C*-Algebras with Tracial Rank OneApr 06 2012We discuss when a unital homomorphism {\phi} : C(X) \rightarrow A can be approximated by finite-dimensional homomorphisms, where X is a compact metric space and A is unital simple C*-algebra with tracial rank one. In this paper, we will give a necessary ... More

Leveraging High-Dimensional Side Information for Top-N RecommendationFeb 06 2017May 16 2017Top-$N$ recommender systems typically utilize side information to address the problem of data sparsity. As nowadays side information is growing towards high dimensionality, the performances of existing methods deteriorate in terms of both effectiveness ... More

Deep learning for extracting protein-protein interactions from biomedical literatureJun 05 2017Jun 07 2017State-of-the-art methods for protein-protein interaction (PPI) extraction are primarily feature-based or kernel-based by leveraging lexical and syntactic information. But how to incorporate such knowledge in the recent deep learning methods remains an ... More

NegBio: a high-performance tool for negation and uncertainty detection in radiology reportsDec 16 2017Dec 27 2017Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we propose a new algorithm, NegBio, to detect negative and uncertain findings ... More

Universal spin chirality fluctuation in two-dimensional Ising ferromagnetsDec 17 2018Non-coplanar spin textures with scalar spin chirality can generate effective magnetic field that deflects the motion of charge carriers, resulting in topological Hall effect (THE), a powerful probe of the ground state and low-energy excitations of correlated ... More

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAsNov 21 2018May 21 2019Using FPGAs to accelerate ConvNets has attracted significant attention in recent years. However, FPGA accelerator design has not leveraged the latest progress of ConvNets. As a result, the key application characteristics such as frames-per-second (FPS) ... More

Mixed Strategy Game Model Against Data Poisoning AttacksJun 07 2019In this paper we use game theory to model poisoning attack scenarios. We prove the non-existence of pure strategy Nash Equilibrium in the attacker and defender game. We then propose a mixed extension of our game model and an algorithm to approximate the ... More

Codimension-two defects and Argyres-Douglas theories from outer-automorphism twist in 6d $(2,0)$ theoriesMay 22 2018The 6d $(2,0)$ theory has codimension-one symmetry defects associated to the outer-automorphism group of the underlying ADE Lie algebra. These symmetry defects give rise to twisted sectors of codimension-two defects that are either regular or irregular ... More

Classification of Argyres-Douglas theories from M5 branesSep 02 2015Dec 20 2016We obtain a large class of new 4d Argyres-Douglas theories by classifying irregular punctures for the 6d (2,0) superconformal theory of ADE type on a sphere. Along the way, we identify the connection between the Hitchin system and three-fold singularity ... More

Generalized Nambu-Goldstone pion in dense matter: a schematic NJL modelMar 23 2017Jul 20 2017Chiral symmetry is always broken in cold, dense matter, by chiral condensation at low densities and by diquark condensation at high density. We construct here, within a schematic Nambu-Jona-Lasinio (NJL) model, the corresponding generalized Nambu-Goldstone ... More

A Characterization of Inoue Surfaces with $p_g=0$ and $K^2=7$Aug 27 2017Inoue constructed the first examples of smooth minimal complex surfaces of general type with $p_g=0$ and $K^2=7$.These surfaces are finite Galois covers of the $4$-nodal cubic surface with the Galois group, the Klein group $\mathbb{Z}_2\times \mathbb{Z}_2$. ... More

Design of a common verification board for different back-end electronics options of the JUNO experimentJun 25 2018The JUNO observatory is a medium baseline experiment in construction in China. A large liquid scintillator volume detects the antineutrinos issued from nuclear reactors. The liquid scintillator detector is instrumented with 17000 large photomultiplier ... More

Turbulence Generation from a stochastic wavelet modelDec 06 2017This research presents a new turbulence generation method based on stochastic wavelets and tests its various properties in both homogeneous and inhomogeneous turbulence. Turbulence field can be generated with less basis compared to previous synthetic ... More

On Sp_4 modularity of Picard--Fuchs differential equations for Calabi--Yau threefolds (with an appendix by Vicentiu Pasol)Mar 23 2008Oct 10 2008Motivated by the relationship of classical modular functions and Picard--Fuchs linear differential equations of order 2 and 3, we present an analogous concept for equations of order 4 and 5.