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09/19/2023
Flip: Data-Centric Edge CGRA Accelerator
Coarse-Grained Reconfigurable Arrays (CGRA) are promising edge accelerat...
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09/07/2023
HOPPER: Interpretative Fuzzing for Libraries
Despite the fact that the state-of-the-art fuzzers can generate inputs e...
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08/25/2023
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More
Social networks exhibit a complex graph-like structure due to the uncert...
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06/08/2023
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate
Identifying parameters of computational models from experimental data, o...
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06/06/2023
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)
General Purpose Graphics Processing Units (GPGPU) are used in most of th...
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05/31/2023
Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators
We propose a novel machine learning framework for solving optimization p...
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05/21/2023
PRODIGY: Enabling In-context Learning Over Graphs
In-context learning is the ability of a pretrained model to adapt to nov...
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05/12/2023
Revisiting Temporal Blocking Stencil Optimizations
Iterative stencils are used widely across the spectrum of High Performan...
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04/22/2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Vertical federated learning (VFL) is a cloud-edge collaboration paradigm...
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04/20/2023
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
We introduce a new task, novel view synthesis for LiDAR sensors. While t...
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03/20/2023
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography
As a non-invasive optical imaging technique, optical coherence tomograph...
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03/15/2023
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
While most recent autonomous driving system focuses on developing percep...
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03/13/2023
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Varicolored haze caused by chromatic casts poses haze removal and depth ...
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02/21/2023
A General Visual Representation Guided Framework with Global Affinity for Weakly Supervised Salient Object Detection
Fully supervised salient object detection (SOD) methods have made consid...
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01/27/2023
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
We consider optimal sensor placement for a family of linear Bayesian inv...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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12/04/2022
Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection
Fully supervised salient object detection (SOD) has made considerable pr...
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11/18/2022
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
Differentiable architecture search (DARTS) has been a mainstream directi...
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11/02/2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Few-shot segmentation (FSS) aims to segment objects of unseen classes gi...
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09/06/2022
CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications
For microservice applications with detected performance anomalies, local...
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09/06/2022
Optimal design of photonic nanojets under uncertainty
Photonic nanojets (PNJs) have promising applications as optical probes i...
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09/05/2022
FIRED: a fine-grained robust performance diagnosis framework for cloud applications
To run a cloud application with the required service quality, operators ...
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08/02/2022
Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm
Directed self-assembly (DSA) of block-copolymers (BCPs) is one of the mo...
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06/21/2022
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
Neural operators have gained significant attention recently due to their...
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05/25/2022
RIS-ADMM: An ADMM-Based Passive and Sparse Sensing Method with Interference Removal
The reconfigurable intelligent surface (RIS) has been a potential techno...
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05/12/2022
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction
Ptychography is a popular microscopic imaging modality for many scientif...
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05/06/2022
A Rapid Power-iterative Root-MUSIC Estimator for Massive/Ultra-massive MIMO Receiver
For a passive direction of arrival (DOA) measurement system using massiv...
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04/05/2022
Persistent Kernels for Iterative Memory-bound GPU Applications
Iterative memory-bound solvers commonly occur in HPC codes. Typical GPU ...
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04/05/2022
Learning Video Salient Object Detection Progressively from Unlabeled Videos
Recent deep learning-based video salient object detection (VSOD) has ach...
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01/22/2022
Manifold Optimization Based Multi-user Rate Maximization Aided by Intelligent Reflecting Surface
In this work, two problems associated with a downlink multi-user system ...
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01/20/2022
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design
We address the solution of large-scale Bayesian optimal experimental des...
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11/22/2021
Mesa: A Memory-saving Training Framework for Transformers
There has been an explosion of interest in designing high-performance Tr...
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10/14/2021
Looper: An end-to-end ML platform for product decisions
Modern software systems and products increasingly rely on machine learni...
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09/12/2021
Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing
This paper proposes an end-to-end Efficient Re-parameterizationResidual ...
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09/06/2021
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
A recent variation of Transformer, Performer, scales Transformer to long...
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07/30/2021
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification
The electroencephalography (EEG) signal is a non-stationary, stochastic,...
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05/08/2021
ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
End-to-end text-spotting, which aims to integrate detection and recognit...
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04/27/2021
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations
Computed Tomography (CT) is a key 3D imaging technology that fundamental...
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04/07/2021
LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
Face reenactment is a challenging task, as it is difficult to maintain a...
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04/05/2021
Robust optimization Design of a New Combined Median Barrier Based on Taguchi method and Grey Relational Analysis
Accidents that vehicles cross median and enter opposite lane happen freq...
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03/01/2021
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans
The database systems course is offered as part of an undergraduate compu...
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02/12/2021
A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement
Optimal experimental design (OED) is a principled framework for maximizi...
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01/13/2021
ABS: Automatic Bit Sharing for Model Compression
We present Automatic Bit Sharing (ABS) to automatically search for optim...
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12/31/2020
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Interest has been rising lately towards modeling time-evolving knowledge...
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11/30/2020
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
Many-query problems, arising from uncertainty quantification, Bayesian i...
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11/29/2020
Fully Quantized Image Super-Resolution Networks
With the rising popularity of intelligent mobile devices, it is of great...
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11/23/2020
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems
We consider optimal sensor placement for hyper-parameterized linear Baye...
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11/19/2020
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters
We propose a fast and scalable optimization method to solve chance or pr...
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11/18/2020
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission
SMART NoC, which transmits unconflicted flits to distant processing elem...
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11/08/2020