
ABS: Automatic Bit Sharing for Model Compression
We present Automatic Bit Sharing (ABS) to automatically search for optim...
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xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Interest has been rising lately towards modeling timeevolving knowledge...
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DerivativeInformed Projected Neural Networks for HighDimensional Parametric Maps Governed by PDEs
Manyquery problems, arising from uncertainty quantification, Bayesian i...
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Fully Quantized Image SuperResolution Networks
With the rising popularity of intelligent mobile devices, it is of great...
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A sequential sensor selection strategy for hyperparameterized linear Bayesian inverse problems
We consider optimal sensor placement for hyperparameterized linear Baye...
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Taylor approximation for chance constrained optimization problems governed by partial differential equations with highdimensional random parameters
We propose a fast and scalable optimization method to solve chance or pr...
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ArSMART: An Improved SMART NoC Design Supporting ArbitraryTurn Transmission
SMART NoC, which transmits unconflicted flits to distant processing elem...
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DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
There has recently been increasing interest in learning representations ...
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Bayesian inference of heterogeneous epidemic models: Application to COVID19 spread accounting for longterm care facilities
We propose a high dimensional Bayesian inference framework for learning ...
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A fast and scalable computational framework for largescale and highdimensional Bayesian optimal experimental design
We develop a fast and scalable computational framework to solve largesc...
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Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?
Matrix engines or units, in different forms and affinities, are becoming...
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Tag and Correct: Question aware Open Information Extraction with Twostage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
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FATNN: Fast and Accurate Ternary Neural Networks
Ternary Neural Networks (TNNs) have received much attention due to being...
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AQD: Towards Accurate Quantized Object Detection
Network quantization aims to lower the bitwidth of weights and activatio...
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Stein variational reduced basis Bayesian inversion
We propose and analyze a Stein variational reduced basis method (SVRB) t...
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An Efficient Secure Dynamic Skyline Query Model
It is now costeffective to outsource large dataset and perform query ov...
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SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud
It is now costeffective to outsource large dataset and perform query ov...
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Tensor train construction from tensor actions, with application to compression of large high order derivative tensors
We present a method for converting tensors into tensor train format base...
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Projected Stein Variational Gradient Descent
The curse of dimensionality is a critical challenge in Bayesian inferenc...
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Trainingfree Monocular 3D Event Detection System for Traffic Surveillance
We focus on the problem of detecting traffic events in a surveillance sc...
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Audiobased automatic mating success prediction of giant pandas
Giant pandas, stereotyped as silent animals, make significantly more voc...
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OneShot Imitation Filming of Human Motion Videos
Imitation learning has been applied to mimic the operation of a human ca...
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DLA: DenseLayerAnalysis for Adversarial Example Detection
In recent years Deep Neural Networks (DNNs) have achieved remarkable res...
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FuturesBased Resource Trading and Fair Pricing in RealTime IoT Networks
Technology advancements on sensing, communications, and computing direct...
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iFDK: A Scalable Framework for Instant Highresolution Image Reconstruction
Computed Tomography (CT) is a widely used technology that requires compu...
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Learning Deep Representations by Mutual Information for Person Reidentification
Most existing person reidentification (ReID) methods have good feature ...
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Distinguishing Individual Red Pandas from Their Faces
Individual identification is essential to animal behavior and ecology re...
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A Versatile Software Systolic Execution Model for GPU MemoryBound Kernels
This paper proposes a versatile highperformance execution model, inspir...
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Matryoshka: fuzzing deeply nested branches
Greybox fuzzing has made impressive progress in recent years, evolving f...
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Giant Panda Face Recognition Using Small Dataset
Giant panda (panda) is a highly endangered animal. Significant efforts a...
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Power Allocation in MultiUser Cellular Networks: Deep Reinforcement Learning Approaches
The modelbased power allocation algorithm has been investigated for dec...
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Power Allocation in Multiuser Cellular Networks With Deep Q Learning Approach
The modeldriven power allocation (PA) algorithms in the wireless cellul...
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Style Transfer as Unsupervised Machine Translation
Language style transferring rephrases text with specific stylistic attri...
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Angora: Efficient Fuzzing by Principled Search
Fuzzing is a popular technique for finding software bugs. However, the p...
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A social Network Analysis of the Operations Research/Industrial Engineering Faculty Hiring Network
We study the Operations Research/IndustrialSystems Engineering (ORIE) f...
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REDBEE: A VisualInertial Drone System for RealTime Moving Object Detection
Aerial surveillance and monitoring demand both realtime and robust moti...
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Software Engineering Solutions To Support Vertical Transportation
In this paper we introduce the core results of the project on visualisat...
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Peng Chen
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