
Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
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Fast random number generator based on optical physical unclonable functions
We propose an approach for fast random number generation based on homema...
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Energy stability of Strang splitting for vectorvalued and matrixvalued AllenCahn equations
We consider the secondorder in time Strangsplitting approximation for ...
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Energy dissipation of Strang splitting for Allen–Cahn
We consider a class of secondorder Strang splitting methods for AllenC...
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Towards Discriminative Representation Learning for Unsupervised Person Reidentification
In this work, we address the problem of unsupervised domain adaptation f...
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Effective maximum principles for spectral methods
Many physical problems such as AllenCahn flows have natural maximum pri...
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Negative time splitting is stable
For high order (than two) in time operatorsplitting methods applied to ...
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On the energy stability of Strangsplitting for CahnHilliard
We consider a Strangtype second order operatorsplitting discretization...
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The operatorsplitting method for CahnHilliard is stable
We prove energy stability of a standard operatorsplitting method for th...
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On a sinctype MBE model
We introduce a new sinctype molecular beam epitaxy model which is deriv...
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Energydissipation for timefractional phasefield equations
We consider a class of timefractional phase field models including the ...
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On Sampling TopK Recommendation Evaluation
Recently, Rendle has warned that the use of samplingbased topk metrics...
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Stability of the semiimplicit method for the CahnHilliard equation with logarithmic potentials
We consider the twodimensional CahnHilliard equation with logarithmic ...
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Sharp convergence to steady states of AllenCahn
In our recent work we found a surprising breakdown of symmetry conservat...
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The BDF3/EP3 scheme for MBE with no slope selection is stable
We consider the classical molecular beam epitaxy (MBE) model with logari...
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InfoBehavior: Selfsupervised Representation Learning for Ultralong Behavior Sequence via Hierarchical Grouping
Ecommerce companies have to face abnormal sellers who sell potentially...
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On a parabolic sineGordon model
We consider a parabolic sineGordon model with periodic boundary conditi...
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Cooperative MultiAgent Transfer Learning with LevelAdaptive Credit Assignment
Extending transfer learning to cooperative multiagent reinforcement lea...
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Towards a Better Understanding of Linear Models for Recommendation
Recently, linear regression models, such as EASE and SLIM, have shown to...
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ROBI: A MultiView Dataset for Reflective Objects in Robotic BinPicking
In robotic binpicking applications, the perception of textureless, hig...
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CrossDataset Collaborative Learning for Semantic Segmentation
Recent work attempts to improve semantic segmentation performance by exp...
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Probabilistic MultiView Fusion of Active Stereo Depth Maps for Robotic BinPicking
The reliable fusion of depth maps from multiple viewpoints has become an...
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Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Recent progress in deep reinforcement learning (DRL) can be largely attr...
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TRUST: Triangle Counting Reloaded on GPUs
Triangle counting is a building block for a wide range of graph applicat...
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On Estimating Recommendation Evaluation Metrics under Sampling
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
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MOARD: Modeling Application Resilience to Transient Faults on Data Objects
Understanding application resilience (or error tolerance) in the presenc...
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MATCH: An MPI Fault Tolerance Benchmark Suite
MPI has been ubiquitously deployed in flagship HPC systems aiming to acc...
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ZeROOffload: Democratizing BillionScale Model Training
Largescale model training has been a playing ground for a limited few r...
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Solving phase retrieval with random initial guess is nearly as good as by spectral initialization
The problem of recovering a signal 𝐱∈ℝ^n from a set of magnitude measure...
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Strong but Simple Baseline with DualGranularity Triplet Loss for VisibleThermal Person ReIdentification
In this letter, we propose a conceptually simple and effective dualgran...
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Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
It is a common practice to exploit pyramidal feature representation to t...
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Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
Filter pruning has drawn more attention since resource constrained platf...
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Evaluating the effect of city lockdown on controlling COVID19 propagation through deep learning and network science models
The special epistemic characteristics of the COVID19, such as the long ...
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Adaptive Neural NetworkBased Approximation to Accelerate Eulerian Fluid Simulation
The Eulerian fluid simulation is an important HPC application. The neura...
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SmartPGSim: Using Neural Network to Accelerate ACOPF Power Grid Simulation
The optimal power flow (OPF) problem is one of the most important optimi...
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Stability analysis for the ImplicitExplicit discretization of the CahnHilliard equation
ImplicitExplicit methods have been widely used for the efficient numeri...
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Testing error distribution by kernelized Stein discrepancy in multivariate time series models
Knowing the error distribution is important in many multivariate time se...
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Largescale Realtime Personalized Similar Product Recommendations
Similar product recommendation is one of the most common scenes in ecom...
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Long ShortTerm Relation Networks for Video Action Detection
It has been well recognized that modeling humanobject or objectobject ...
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Feedback Graph Convolutional Network for Skeletonbased Action Recognition
Skeletonbased action recognition has attracted considerable attention i...
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FLAME: A SelfAdaptive Autolabeling System for Heterogeneous Mobile Processors
How to accurately and efficiently label data on a mobile device is criti...
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Demystifying the Performance of HPC Scientific Applications on NVMbased Memory Systems
The emergence of highdensity byteaddressable nonvolatile memory (NVM)...
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UMap: Enabling Applicationdriven Optimizations for Page Management
Leadership supercomputers feature a diversity of storage, from nodeloca...
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Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning
Softwaremanaged heterogeneous memory (HM) provides a promising solution...
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Artificial intelligence empowered multiAGVs in manufacturing systems
AGVs are driverless robotic vehicles that picks up and delivers material...
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Spam Review Detection with Graph Convolutional Networks
Customers make a lot of reviews on online shopping websites every day, e...
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MVB: A LargeScale Dataset for Baggage ReIdentification and Merged Siamese Networks
In this paper, we present a novel dataset named MVB (Multi View Baggage)...
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Adaptive inference for a semiparametric GARCH model
This paper considers a semiparametric generalized autoregressive conditi...
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Combining Q&A Pair Quality and Question Relevance Features on Communitybased Question Retrieval
The Q&A community has become an important way for people to access knowl...
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EasyCrash: Exploring NonVolatility of NonVolatile Memory for High Performance Computing Under Failures
Emerging nonvolatile memory (NVM) is promising for building future HPC....
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Dong Li
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