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09/12/2023
Chained-DP: Can We Recycle Privacy Budget?
Privacy-preserving vector mean estimation is a crucial primitive in fede...
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09/06/2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks
Deep learning classifiers are crucial in the age of artificial intellige...
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08/17/2023
Efficient Commercial Bank Customer Credit Risk Assessment Based on LightGBM and Feature Engineering
Effective control of credit risk is a key link in the steady operation o...
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08/15/2023
A Nearly Quadratic-Time FPTAS for Knapsack
We investigate polynomial-time approximation schemes for the classic 0-1...
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08/09/2023
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images
Perception that involves multi-object detection and tracking, and trajec...
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08/07/2023
LEAPS: Topological-Layout-Adaptable Multi-die FPGA Placement for Super Long Line Minimization
Multi-die FPGAs are crucial components in modern computing systems, part...
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08/07/2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction
Packing is a required step in a typical FPGA CAD flow. It has high impac...
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07/24/2023
Faster Algorithms for Bounded Knapsack and Bounded Subset Sum Via Fine-Grained Proximity Results
We investigate pseudopolynomial-time algorithms for Bounded Knapsack and...
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07/18/2023
Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement
Most prior semantic segmentation methods have been developed for day-tim...
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07/10/2023
FreeDrag: Point Tracking is Not What You Need for Interactive Point-based Image Editing
To serve the intricate and varied demands of image editing, precise and ...
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05/16/2023
Learning from Aggregated Data: Curated Bags versus Random Bags
Protecting user privacy is a major concern for many machine learning sys...
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04/11/2023
ClusterFusion: Real-time Relative Positioning and Dense Reconstruction for UAV Cluster
As robotics technology advances, dense point cloud maps are increasingly...
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04/11/2023
Life Regression based Patch Slimming for Vision Transformers
Vision transformers have achieved remarkable success in computer vision ...
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04/10/2023
HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion
Recently, cross-source point cloud registration from different sensors h...
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04/10/2023
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
A surge of interest has emerged in utilizing Transformers in diverse vis...
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04/09/2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
The problem of deep long-tailed learning, a prevalent challenge in the r...
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02/27/2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Few-shot audio classification is an emerging topic that attracts more an...
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02/27/2023
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Trajectory prediction for autonomous driving must continuously reason th...
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02/17/2023
Model Doctor for Diagnosing and Treating Segmentation Error
Despite the remarkable progress in semantic segmentation tasks with the ...
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02/01/2023
Toward a consistent performance evaluation for defect prediction models
In defect prediction community, many defect prediction models have been ...
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12/06/2022
Improved Approximation Schemes for (Un-)Bounded Subset-Sum and Partition
We consider the SUBSET SUM problem and its important variants in this pa...
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11/13/2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Much of the value that IoT (Internet-of-Things) devices bring to “smart”...
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10/08/2022
Dedicating Cellular Infrastructure for Aerial Users: Advantages and Potential Impact on Ground Users
A new generation of aerial vehicles is hopeful to be the next frontier f...
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09/29/2022
Sequential Attention for Feature Selection
Feature selection is the problem of selecting a subset of features for a...
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09/20/2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data
Performing neural network inference on encrypted data without decryption...
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09/16/2022
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
Trajectory prediction has been a long-standing problem in intelligent sy...
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09/16/2022
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
In unsupervised domain adaptation (UDA), directly adapting from the sour...
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07/25/2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective
Federated learning (FL) is a promising distributed framework for collabo...
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05/24/2022
Package Theft Detection from Smart Home Security Cameras
Package theft detection has been a challenging task mainly due to lack o...
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05/19/2022
Defending Against Adversarial Attacks by Energy Storage Facility
Adversarial attacks on data-driven algorithms applied in pow-er system w...
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05/02/2022
Local Differential Privacy Meets Computational Social Choice – Resilience under Voter Deletion
The resilience of a voting system has been a central topic in computatio...
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04/23/2022
Approximation Algorithms for Interdiction Problem with Packing Constraints
We study a bilevel optimization problem which is a zero-sum Stackelberg ...
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04/19/2022
Test suite effectiveness metric evaluation: what do we know and what should we do?
Comparing test suite effectiveness metrics has always been a research ho...
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04/17/2022
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
We propose a novel framework to learn 3D point cloud semantics from 2D m...
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04/08/2022
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
Adversarial learning has achieved remarkable performances for unsupervis...
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01/18/2022
Youling: an AI-Assisted Lyrics Creation System
Recently, a variety of neural models have been proposed for lyrics gener...
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11/12/2021
Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
Balancing social utility and equity in distributing limited vaccines rep...
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10/19/2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Knowledge Distillation is becoming one of the primary trends among neura...
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08/19/2021
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages
There are numerous types of programming languages developed in the last ...
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08/09/2021
A novel reversible data hiding in encrypted images based on polynomial arithmetic
Reversible data hiding in encrypted images is an eff ective technique fo...
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07/13/2021
Tight running times for minimum ℓ_q-norm load balancing: beyond exponential dependencies on 1/ε
We consider a classical scheduling problem on m identical machines. For ...
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07/05/2021
Feature Cross Search via Submodular Optimization
In this paper, we study feature cross search as a fundamental primitive ...
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03/26/2021
Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme
Different from static images, videos contain additional temporal and spa...
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03/17/2021
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
In this paper, we investigate the sample complexity of policy evaluation...
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03/07/2021
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
The boom of DL technology leads to massive DL models built and shared, w...
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02/05/2021
Mutant reduction evaluation: what is there and what is missing?
Background. Many mutation reduction strategies, which aim to reduce the ...
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01/27/2021
An extensive empirical study of inconsistent labels in multi-version-project defect data sets
The label quality of defect data sets has a direct influence on the reli...
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01/14/2021
EDSC: An Event-Driven Smart Contract Platform
This paper presents EDSC, a novel smart contract platform design based o...
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01/14/2021
DAIL: Dataset-Aware and Invariant Learning for Face Recognition
To achieve good performance in face recognition, a large scale training ...
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12/31/2020
