Results for "Han Zhao"

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Forbidding Hamilton cycles in uniform hypergraphsAug 23 2015For $1\le d\le \ell< k$, we give a new lower bound for the minimum $d$-degree threshold that guarantees a Hamilton $\ell$-cycle in $k$-uniform hypergraphs. When $k\ge 4$ and $d< \ell=k-1$, this bound is larger than the conjectured minimum $d$-degree threshold ... More
Minimum codegree threshold for Hamilton l-cycles in k-uniform hypergraphsJun 09 2014Jan 10 2015For $1\le \ell<k/2$, we show that for sufficiently large $n$, every $k$-uniform hypergraph on $n$ vertices with minimum codegree at least $\frac n{2 (k-\ell)} $ contains a Hamilton $\ell$-cycle. This codegree condition is best possible and improves on ... More
On SNS-Riemannian connections in sub-Riemannian manifoldsJun 19 2013Jan 22 2016The authors define a SNS (semi-nearly-sub)-Riemannian connection on nearly sub-Riemannian manifolds and study the geometric properties of such a connection, and obtain the natures of horizontal curvature tensors between horizontal sub-Riemannian connection ... More
On a type of semi-sub-Riemannian connection on a sub-Riemannian manifoldJun 18 2013The authors first in this paper define a semi-symmetric metric non-holonomic connection (called in briefly a semi-sub-Riemannian connection) on sub-Riemannian manifolds, and study the relations between sub-Riemannian connections and semi-sub-Riemannian ... More
Construction of Koszul algebras by finite Galois coveringMay 30 2006Aug 30 2006It is shown that, the quasi-Koszulities of algebras and modules are Morita invariance. A finite-dimensional $K$-algebra $A$ with an action of $G$ is quasi-Koszul if and only if so is the skew group algebra $A \ast G$, where $G$ is a finite group satisfying ... More
A Sober Look at Spectral LearningJun 18 2014Spectral learning recently generated lots of excitement in machine learning, largely because it is the first known method to produce consistent estimates (under suitable conditions) for several latent variable models. In contrast, maximum likelihood estimates ... More
On multipartite Hajnal-Szemerédi theoremsMar 12 2012Dec 13 2012Let $G$ be a $k$-partite graph with $n$ vertices in parts such that each vertex is adjacent to at least $\delta^*(G)$ vertices in each of the other parts. Magyar and Martin \cite{MaMa} proved that for $k=3$, if $\delta^*(G)\ge 2/3n $ and $n$ is sufficiently ... More
Hamiltonicity in randomly perturbed hypergraphsFeb 13 2018For integers $k\ge 3$ and $1\le \ell\le k-1$, we prove that for any $\alpha>0$, there exist $\epsilon>0$ and $C>0$ such that for sufficiently large $n\in (k-\ell)\mathbb{N}$, the union of a $k$-uniform hypergraph with minimum vertex degree $\alpha n^{k-1}$ ... More
Entropy of a nonuniformly rectilinearly accelerating black holeApr 24 2002Adopting thin film brick-wall model, we calculate the entropy of a nonuniformly rectilinearly accelerating non-stationary black hole expressed by Kinnersley metric. Because the black hole is accelerated, the event horizon is axisymmetric. The different ... More
Linear Time Computation of Moments in Sum-Product NetworksFeb 15 2017Nov 05 2017Bayesian online algorithms for Sum-Product Networks (SPNs) need to update their posterior distribution after seeing one single additional instance. To do so, they must compute moments of the model parameters under this distribution. The best existing ... More
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial ConstraintJun 20 2017Jun 26 2018Symmetric nonnegative matrix factorization has found abundant applications in various domains by providing a symmetric low-rank decomposition of nonnegative matrices. In this paper we propose a Frank-Wolfe (FW) solver to optimize the symmetric nonnegative ... More
Image Denoising Using Tensor Product Complex Tight Framelets with Increasing DirectionalityJul 10 2013Tensor product real-valued wavelets have been employed in many applications such as image processing with impressive performance. Though edge singularities are ubiquitous and play a fundamental role in two-dimensional problems, tensor product real-valued ... More
Turán number of disjoint triangles in 4-partite graphsJun 05 2019Let $k\ge 2$ and $n_1\ge n_2\ge n_3\ge n_4$ be integers such that $n_4$ is sufficiently larger than $k$. We determine the maximum number of edges of a 4-partite graph with parts of sizes $n_1,\dots, n_4$ that does not contain $k$ vertex-disjoint triangles. ... More
Minimum vertex degree threshold for loose Hamilton cycles in 3-uniform hypergraphsJul 14 2013Apr 03 2015We show that for sufficiently large $n$, every 3-uniform hypergraph on $n$ vertices with minimum vertex degree at least $\binom{n-1}2 - \binom{\lfloor\frac34 n\rfloor}2 + c$, where $c=2$ if $n\in 4\mathbb{N}$ and $c=1$ if $n\in 2\mathbb{N}\setminus 4\mathbb{N}$, ... More
Superspecies and their representationsOct 11 2007Superspecies are introduced to provide the nice constructions of all finite-dimensional superalgebras. All acyclic superspecies, or equivalently all finite-dimensional (gr-basic) gr-hereditary superalgebras, are classified according to their graded representation ... More
Minimum vertex degree threshold for $C_4^3$-tilingSep 09 2013Aug 13 2014We prove that the vertex degree threshold for tiling $\C_4^3$ (the 3-uniform hypergraph with four vertices and two triples) in a 3-uniform hypergraph on $n\in 4\mathbb N$ vertices is $\binom{n-1}2 - \binom{\frac34 n}2+\frac38n+c$, where $c=1$ if $n\in ... More
Inherent Tradeoffs in Learning Fair RepresentationJun 19 2019With the prevalence of machine learning in high-stakes applications, especially the ones regulated by anti-discrimination laws or societal norms, it is crucial to ensure that the predictive models do not propagate any existing bias or discrimination. ... More
Exceptional Point Engineered Glass Slide for Microscopic Thermal MappingSep 24 2017Thermal sensing with fine spatial resolution is important to the study of many scientific areas. While modern microscopy systems allow easy optical detection at high spatial resolution, their intrinsic functions are mainly focused on imaging but limited ... More
A Likelihood Ratio Framework for High Dimensional Semiparametric RegressionDec 06 2014Nov 23 2015We propose a likelihood ratio based inferential framework for high dimensional semiparametric generalized linear models. This framework addresses a variety of challenging problems in high dimensional data analysis, including incomplete data, selection ... More
Existence and convergence of solutions for nonlinear biharmonic equations on graphsAug 12 2019In this paper, we first prove some propositions of Sobolev spaces defined on a locally finite graph $G=(V,E)$, which are fundamental when dealing with equations on graphs under the variational framework. Then we consider a nonlinear biharmonic equation ... More
Experimental demonstration of asymmetric diffraction based on a passive parity-time-symmetric acoustic gratingApr 26 2019Passive parity-time-symmetric medium provides a feasible scheme to investigate non-Hermitian systems experimentally. Here, we design a passive PT-symmetric acoustic grating with a period equal to exact PT-symmetric medium. This treatment enhances the ... More
A Unified Approach for Learning the Parameters of Sum-Product NetworksJan 03 2016Aug 26 2016We present a unified approach for learning the parameters of Sum-Product networks (SPNs). We prove that any complete and decomposable SPN is equivalent to a mixture of trees where each tree corresponds to a product of univariate distributions. Based on ... More
On the Relationship between Sum-Product Networks and Bayesian NetworksJan 06 2015Apr 30 2015In this paper, we establish some theoretical connections between Sum-Product Networks (SPNs) and Bayesian Networks (BNs). We prove that every SPN can be converted into a BN in linear time and space in terms of the network size. The key insight is to use ... More
Codegree conditions for tiling complete $k$-partite $k$-graphs and loose cyclesDec 21 2016Mar 13 2019Given two $k$-graphs ($k$-uniform hypergraphs) $F$ and $H$, a perfect $F$-tiling (or an $F$-factor) in $H$ is a set of vertex disjoint copies of $F$ that together cover the vertex set of $H$. For all complete $k$-partite $k$-graphs $K$, Mycroft proved ... More
Minimum vertex degree thresholds for tiling complete 3-partite 3-graphsMar 30 2015Given positive integers $a\leq b \leq c$, let $K_{a,b,c}$ be the complete 3-partite 3-uniform hypergraph with three parts of sizes $a,b,c$. Let $H$ be a 3-uniform hypergraph on $n$ vertices where $n$ is divisible by $a+b+c$. We asymptotically determine ... More
Work functions of pristine and alkali-metal intercalated carbon nanotubes and bundlesNov 07 2001The work functions (WF) of single-walled carbon nanotubes and bundles are studied using first principles methods. For individual metallic tubes, the WF is independent of the chirality and increase slightly with tube diameter. For semiconducting tubes, ... More
A bipolar outflow from the massive protostellar core W51e2-EJun 21 2010Jul 18 2010We present high resolution images of the bipolar outflow from W51e2, which are produced from the Submillimeter Array archival data observed for CO(3-2) and HCN(4-3) lines with angular resolutions of 0.8" x 0.6" and 0.3" x 0.2", respectively. The images ... More
Matchings in $k$-partite $k$-uniform HypergraphsNov 01 2016Feb 17 2018For $k\ge 3$ and $\epsilon>0$, let $H$ be a $k$-partite $k$-graph with parts $V_1,\dots, V_k$ each of size $n$, where $n$ is sufficiently large. Assume that for each $i\in [k]$, every $(k-1)$-set in $\prod_{j\in [k]\setminus \{i\}} V_i$ lies in at least ... More
A Partially Linear Framework for Massive Heterogeneous DataOct 30 2014Jan 25 2016We consider a partially linear framework for modelling massive heterogeneous data. The major goal is to extract common features across all sub-populations while exploring heterogeneity of each sub-population. In particular, we propose an aggregation type ... More
Minimum vertex degree thresholds for tiling complete 3-partite 3-graphsMar 30 2015Aug 14 2017Given positive integers $a\leq b \leq c$, let $K_{a,b,c}$ be the complete 3-partite 3-uniform hypergraph with three parts of sizes $a,b,c$. Let $H$ be a 3-uniform hypergraph on $n$ vertices where $n$ is divisible by $a+b+c$. We asymptotically determine ... More
Fundamental Cycles and Graph EmbeddingsJul 10 2008In this paper we present a new Good Characterization of maximum genus of a graph which makes a common generalization of the works of Xuong, Liu, and Fu et al. Based on this, we find a new polynomially bounded algorithm to find the maximum genus of a graph. ... More
Directional Tensor Product Complex Tight Framelets with Low RedundancyDec 17 2014Though high redundancy rate of a tight frame can improve performance in applications, as the dimension increases, it also makes the computational cost skyrocket and the storage of frame coefficients increase exponentially. This seriously restricts the ... More
Compactly Supported Tensor Product Complex Tight Framelets with DirectionalityJul 09 2013Although tensor product real-valued wavelets have been successfully applied to many high-dimensional problems, they can only capture well edge singularities along the coordinate axis directions. As an alternative and improvement of tensor product real-valued ... More
Dynamic Pricing in Shared Mobility on Demand ServiceFeb 10 2018We consider a profit maximization problem in an urban mobility on-demand service, of which the operator owns a fleet, provides both exclusive and shared trip services, and dynamically determines prices of offers. With knowledge of the traveler preference ... More
Self-Adaptive Hierarchical Sentence ModelApr 20 2015Apr 27 2015The ability to accurately model a sentence at varying stages (e.g., word-phrase-sentence) plays a central role in natural language processing. As an effort towards this goal we propose a self-adaptive hierarchical sentence model (AdaSent). AdaSent effectively ... More
Using Google Analytics to Support Cybersecurity ForensicsApr 03 2019Web traffic is a valuable data source, typically used in the marketing space to track brand awareness and advertising effectiveness. However, web traffic is also a rich source of information for cybersecurity monitoring efforts. To better understand the ... More
Large energy soliton erbium-doped fiber laser with a graphene-polymer composite mode lockerSep 30 2009Due to its unique electronic property and the Pauli Blocking Principle, atomic layer graphene possesses wavelength-independent ultrafast saturable absorption, which can be exploited for the ultrafast photonics application. Through chemical functionalization, ... More
Quantum Causal InfluenceNov 13 2018We introduce a framework to study the emergence of time and causal structure in quantum many-body systems. In doing so, we consider quantum states which encode spacetime dynamics, and develop information theoretic tools to extract the causal relationships ... More
Modeling non local thermodynamic equilibrium plasma using the Flexible Atomic Code dataMar 09 2015We present a new code, RCF("Radiative-Collisional code based on FAC"), which is used to simulate steady-state plasmas under non local thermodynamic equilibrium condition, especially photoinization dominated plasmas. RCF takes almost all of the radiative ... More
Dispersion-managed dark solitons in erbium-doped fiber lasersJul 19 2010We report on the observation of dispersion-managed (DM) dark soliton emission in a net-normal dispersion erbium-doped fiber laser. We found experimentally that dispersion management could not only reduce the pump threshold for the dark soliton formation ... More
High Sensitivity Snapshot Spectrometer Based on Deep Network UnmixingJun 29 2019In this paper, we present a convolution neural network based method to recover the light intensity distribution from the overlapped dispersive spectra instead of adding an extra light path to capture it directly for the first time. Then, we construct ... More
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook MarketplaceMay 31 2018Facebook Marketplace is quickly gaining momentum among consumers as a favored customer-to-customer (C2C) product trading platform. The recommendation system behind it helps to significantly improve the user experience. Building the recommendation system ... More
Machine Learning Approach for Device-Circuit Co-Optimization of Stochastic-Memristive-Device-Based Boltzmann MachineMay 11 2019May 14 2019A Boltzmann machine whose effective "temperature" can be dynamically "cooled" provides a stochastic neural network realization of simulated annealing, which is an important metaheuristic for solving combinatorial or global optimization problems with broad ... More
Apply current exponential de Finetti theorem to realistic quantum key distributionSep 16 2008Jan 18 2009In the realistic quantum key distribution (QKD), Alice and Bob respectively get a quantum state from an unknown channel, whose dimension may be unknown. However, while discussing the security, sometime we need to know exact dimension, since current exponential ... More
Comment on "Observation of dark pulse in a dispersion-managed fiber ring laser"Jul 19 2010A recent communication [Opt. Commun. doi:10.1016/j.optcom.2010.06.076 (2010)] presents experimental results in which dark pulses are observed in a dispersion-managed (DM) net-anomalous dispersion fiber laser. Disagreement on the formation mechanism proposed ... More
Efficient Multitask Feature and Relationship LearningFeb 14 2017Sep 16 2018We consider a multitask learning problem, in which several predictors are learned jointly. Prior research has shown that learning the relations between tasks, and between the input features, together with the predictor, can lead to better generalization ... More
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance ReductionMay 09 2016Dec 23 2017We propose a stochastic variance reduced optimization algorithm for solving sparse learning problems with cardinality constraints. Sufficient conditions are provided, under which the proposed algorithm enjoys strong linear convergence guarantees and optimal ... More
Astronomical Data Fusion Tool Based on PostgreSQLSep 05 2016With the application of advanced astronomical technologies, equipments and methods all over the world, astronomy covers from radio, infrared, visible light, ultraviolet, X-ray and gamma ray band, and enters into the era of full wavelength astronomy. How ... More
Universal Three-Body Parameter of Heavy-Heavy-Light systems with negative intraspecies scattering lengthMar 22 2019May 05 2019The Three-Body Parameter(3BP) $a^{\scriptscriptstyle(1)}_{\scriptscriptstyle-}$ is crucial to understanding Efimov physics, and a universal 3BP has been shown in experiments and theory in ultracold homonuclear gases. The 3BP of heteronuclear systems was ... More
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data IntegrationMar 01 2012In practical data integration systems, it is common for the data sources being integrated to provide conflicting information about the same entity. Consequently, a major challenge for data integration is to derive the most complete and accurate integrated ... More
First principles study of Li intercalated carbon nanotube ropesOct 09 1999Jan 28 2000We studied Li intercalated carbon nanotube ropes by using first principles methods. Our results show charge transfer between Li and C and small structural deformation of nanotube due to intercalation. Both inside of nanotube and the interstitial space ... More
High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix codingMay 18 2019We present a robust high signal-to-noise ratio (SNR) snapshot multiplex spectrometer with sub-Hadamard-S matrix coding. We demonstrated for the first time that the sub-Hadamard-S matrix coding could provide comparable SNR improvement with Hadamard-S matrix ... More
Generalized Fermat pointOct 10 2012Jun 06 2013In this paper, we generalized the classical Fermat point, proved the sufficient and necessary condition for uniqueness and existence for the generalized Fermat point(GFP) theorem, and discuss some interesting geometric property of the generalized Fermat ... More
AccFlow: Defending Against the Low-Rate TCP DoS Attack in Wireless Sensor NetworksMar 15 2019Because of the open nature of the Wireless Sensor Networks (WSN), the Denial of the Service (DoS) becomes one of the most serious threats to the stability of the resourceconstrained sensor nodes. In this paper, we develop AccFlow which is an incrementally ... More
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale NetworksFeb 25 2019Short-term road traffic prediction (STTP) is one of the most important modules in Intelligent Transportation Systems (ITS). However, network-level STTP still remains challenging due to the difficulties both in modeling the diverse traffic patterns and ... More
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion EmbeddingsJul 23 2019Despite remarkable advances in emotion recognition, they are severely restrained from either the essentially limited property of the employed single modality, or the synchronous presence of all involved multiple modalities. Motivated by this, we propose ... More
Convergence of Distributed Randomized PageRank AlgorithmsMay 14 2013The PageRank algorithm employed by Google quantifies the importance of each page by the link structure of the web. To reduce the computational burden the distributed randomized PageRank algorithms (DRPA) recently appeared in literature suggest pages to ... More
On Strategyproof Conference Peer ReviewJun 16 2018Nov 14 2018We consider peer review in a conference setting where there is typically an overlap between the set of reviewers and the set of authors. This overlap can incentivize strategic reviews to influence the final ranking of one's own papers. In this work, we ... More
Exact minimum codegree threshold for $K^- _4$-factorsSep 08 2015Given hypergraphs $F$ and $H$, an $F$-factor in $H$ is a set of vertex-disjoint copies of $F$ which cover all the vertices in $H$. Let $K^- _4$ denote the $3$-uniform hypergraph with $4$ vertices and $3$ edges. We show that for sufficiently large $n\in ... More
Community detection by label propagation with compression of flowNov 07 2016The label propagation algorithm (LPA) has been proved to be a fast and effective method for detecting communities in large complex networks. However, its performance is subject to the non-stable and trivial solutions of the problem. In this paper, we ... More
Gas molecule adsorption in carbon nanotubes and nanotube bundlesOct 18 2001We studied various gas molecules (NO$_2$, O$_2$, NH$_3$, N$_2$, CO$_2$, CH$_4$, H$_2$O, H$_2$, Ar) on single-walled carbon nanotubes (SWNTs) and bundles using first principles methods. The equilibrium position, adsorption energy, charge transfer, and ... More
Quantum transport properties of ultrathin silver nanowiresSep 23 2002The quantum transport properties of the ultrathin silver nanowires are investigated. For a perfect crystalline nanowire with four atoms per unit cell, three conduction channels are found, corresponding to three $s$ bands crossing the Fermi level. One ... More
Nature of W51e2: Massive Cores at Different Phases of Star FormationJan 07 2010Jan 17 2010We present high-resolution continuum images of the W51e2 complex processed from archival data of the Submillimeter Array (SMA) at 0.85 and 1.3 mm and the Very Large Array (VLA) at 7 and 13 mm. We also made line images and profiles of W51e2 for three hydrogen ... More
Optomechanical Force Sensor in non-Markovian RegimeSep 18 2016Aug 27 2017The optomechanical force sensor in non-Markovian environment for a mechanical oscillator is presented. By performing homodyne detection we obtain an generally expression for the output signal. It is shown that the weak force detection is sensitive to ... More
State-aware Anti-drift Robust Correlation TrackingJun 28 2018Correlation filter (CF) based trackers have aroused increasing attentions in visual tracking field due to the superior performance on several datasets while maintaining high running speed. For each frame, an ideal filter is trained in order to discriminate ... More
IsoDAR Neutrino Experiment Simulation with Proton and Deuteron BeamsSep 14 2015In this paper we consider high-intensity source of electron antineutrinos from the production and subsequent decay of 8Li. It opens a wide range of possible searches for beyond standard model physics via studies of the inverse beta decay interaction. ... More
GSLAM: A General SLAM Framework and BenchmarkFeb 21 2019SLAM technology has recently seen many successes and attracted the attention of high-technological companies. However, how to unify the interface of existing or emerging algorithms, and effectively perform benchmark about the speed, robustness and portability ... More
Robust Strategies for Affirming Kramers-Henneberger AtomsJun 08 2019Jul 07 2019Atoms exposed to high-frequency strong laser fields experience the ionization suppression due to the deformation of Kramers-Henneberger (KH) wave functions, which has not been confirmed yet in experiment. We propose a bichromatic pump-probe strategy to ... More
Pooling the Convolutional Layers in Deep ConvNets for Action RecognitionNov 06 2015Deep ConvNets have shown its good performance in image classification tasks. However it still remains as a problem in deep video representation for action recognition. The problem comes from two aspects: on one hand, current video ConvNets are relatively ... More
Principled Hybrids of Generative and Discriminative Domain AdaptationMay 25 2017Oct 27 2017We propose a probabilistic framework for domain adaptation that blends both generative and discriminative modeling in a principled way. Under this framework, generative and discriminative models correspond to specific choices of the prior over parameters. ... More
Photometric Redshift Estimation for Quasars by Integration of KNN and SVMJan 08 2016The massive photometric data collected from multiple large-scale sky surveys offer significant opportunities for measuring distances of celestial objects by photometric redshifts. However, catastrophic failure is still an unsolved problem for a long time ... More
EA-LSTM: Evolutionary Attention-based LSTM for Time Series PredictionNov 09 2018Time series prediction with deep learning methods, especially long short-term memory neural networks (LSTMs), have scored significant achievements in recent years. Despite the fact that the LSTMs can help to capture long-term dependencies, its ability ... More
Resonance states near a quantum magnetic impurity in single-layer FeSe superconductors with $d$-wave symmetryApr 01 2018In this work, we investigate the local density of states (LDOS) near a magnetic impurity in single-layer FeSe superconductors. The two-orbital model with spin-orbit coupling proposed in Ref. [{\emph{Phys. Rev. Lett.} \textbf{119}, 267001 (2017)}] is used ... More
Keyword Search on RDF Graphs - A Query Graph Assembly ApproachApr 01 2017Aug 25 2017Keyword search provides ordinary users an easy-to-use interface for querying RDF data. Given the input keywords, in this paper, we study how to assemble a query graph that is to represent user's query intention accurately and efficiently. Based on the ... More
A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver ModelFeb 04 2017Misunderstanding of driver correction behaviors (DCB) is the primary reason for false warnings of lane-departure-prediction systems. We propose a learning-based approach to predicting unintended lane-departure behaviors (LDB) and the chance for drivers ... More
Correlation Tracking via Robust Region ProposalsJun 14 2018Recently, correlation filter-based trackers have received extensive attention due to their simplicity and superior speed. However, such trackers perform poorly when the target undergoes occlusion, viewpoint change or other challenging attributes due to ... More
Adaptive Feature Representation for Visual TrackingMay 12 2017Robust feature representation plays significant role in visual tracking. However, it remains a challenging issue, since many factors may affect the experimental performance. The existing method which combine different features by setting them equally ... More
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic PerspectiveSep 02 2018This paper studies the problem of non-cooperative radio resource scheduling in a vehicle-to-vehicle communication network. The technical challenges lie in high vehicle mobility and data traffic variations. Over the discrete scheduling slots, each vehicle ... More
Robust fermionic-mode entanglement of a nanoelectronic system in non-Markovian environmentsNov 04 2015A maximal steady-state fermionic entanglement of a nanoelectronic system is generated in finite temperature non-Markovian environments. The fermionic entanglement dynamics is presented by connecting the exact solution of the system with an appropriate ... More
Task Assignment on Multi-Skill Oriented Spatial CrowdsourcingOct 12 2015Oct 20 2015With the rapid development of mobile devices and crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specifically, the spatial crowdsourcing refers to sending location-based requests to workers, ... More
A degree version of the Hilton--Milner theoremMar 11 2017May 29 2017An intersecting family of sets is trivial if all of its members share a common element. Hilton and Milner proved a strong stability result for the celebrated Erd\H{o}s--Ko--Rado theorem: when $n> 2k$, every non-trivial intersecting family of $k$-subsets ... More
A Survey of Optimization Methods from a Machine Learning PerspectiveJun 17 2019Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much attention of researchers. With the exponential growth ... More
Infinite Hidden Relational ModelsJun 27 2012In many cases it makes sense to model a relationship symmetrically, not implying any particular directionality. Consider the classical example of a recommendation system where the rating of an item by a user should symmetrically be dependent on the attributes ... More
Empirical Study of Deep Learning for Text Classification in Legal Document ReviewApr 03 2019Predictive coding has been widely used in legal matters to find relevant or privileged documents in large sets of electronically stored information. It saves the time and cost significantly. Logistic Regression (LR) and Support Vector Machines (SVM) are ... More
Adversarial Task-Specific Privacy Preservation under Attribute AttackJun 19 2019With the prevalence of machine learning services, crowdsourced data containing sensitive information poses substantial privacy challenges. Existing works focusing on protecting against membership inference attacks under the rigorous notion of differential ... More
Convolutional-Recurrent Neural Networks for Speech EnhancementMay 02 2018We propose an end-to-end model based on convolutional and recurrent neural networks for speech enhancement. Our model is purely data-driven and does not make any assumptions about the type or the stationarity of the noise. In contrast to existing methods ... More
Difference Discrete Connection and Curvature on Cubic LatticeJul 25 2007In a way similar to the continuous case formally, we define in different but equivalent manners the difference discrete connection and curvature on discrete vector bundle over the regular lattice as base space. We deal with the difference operators as ... More
Learning Markov Chain in Unordered DatasetNov 08 2017Mar 05 2019The assumption that data samples are independently identically distributed is the backbone of many learning algorithms. Nevertheless, datasets often exhibit rich structure in practice, and we argue that there exist some unknown order within the data instances. ... More
Stochastic Variance Reduced Optimization for Nonconvex Sparse LearningMay 09 2016We propose a stochastic variance reduced optimization algorithm for solving a class of large-scale nonconvex optimization problems with cardinality constraints, and provide sufficient conditions under which the proposed algorithm enjoys strong linear ... More
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex MinimizationJul 10 2016Nov 22 2017The cyclic block coordinate descent-type (CBCD-type) methods, which performs iterative updates for a few coordinates (a block) simultaneously throughout the procedure, have shown remarkable computational performance for solving strongly convex minimization ... More
New asymptotic Anti-de Sitter solution with a timelike extra dimension in 5D relativityMay 05 2017In 5D relativity, the usual 4D cosmological constant is determined by the extra dimension. If the extra dimension is spacelike, one can get a positive cosmological constant $\Lambda$ and a 4D de Sitter (dS) space. In this paper we present that, if the ... More
Robust Shape Estimation for 3D Deformable Object ManipulationSep 26 2018Existing shape estimation methods for deformable object manipulation suffer from the drawbacks of being off-line, model dependent, noise-sensitive or occlusion-sensitive, and thus are not appropriate for manipulation tasks requiring high precision. In ... More
Pixelated Semantic ColorizationJan 27 2019Feb 07 2019While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding. To address this shortcoming, we propose to exploit pixelated ... More
A Survey of Optimization Approaches for Wireless Physical Layer SecurityJan 23 2019Due to the malicious attacks in wireless networks, physical layer security has attracted increasing concerns from both academia and industry. The research on physical layer security mainly focuses either on the secrecy capacity/achievable secrecy rate/capacity-equivocation ... More
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum LearningMar 03 2017Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak ... More
Efficient Multitask Feature and Relationship LearningFeb 14 2017Jul 10 2019We consider a multitask learning problem, in which several predictors are learned jointly. Prior research has shown that learning the relations between tasks, and between the input features, together with the predictor, can lead to better generalization ... More
GFF: Gated Fully Fusion for Semantic SegmentationApr 03 2019Semantic segmentation generates comprehensive understanding of scenes at a semantic level through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Networks already demonstrate their effectiveness in semantic ... More
Non-Hermitian heterostructure for two-parameter sensingFeb 25 2019Mar 20 2019Non-Hermitian systems at the exceptional point (EP) degeneracy are demonstrated to be highly sensitive to environmental perturbation. Here, we propose and theoretically investigate a novel multilayered heterostructure favoring double EPs for a unique ... More
Reliable Diversity-Based Spatial Crowdsourcing by Moving WorkersNov 30 2014Nov 10 2015With the rapid development of mobile devices and the crowdsourcig platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spatial crowdsourcing refers to sending a location-based request to workers ... More
Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-based Speed EstimationJul 24 2013Numerous indoor localization techniques have been proposed recently to meet the intensive demand for location based service, and Wi-Fi fingerprint-based approaches are the most popular and inexpensive solutions. Among them, one of the main trends is to ... More