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09/06/2023
Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection
Numerous companies have started offering services based on large languag...
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08/30/2023
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
In recent years, there have been remarkable advancements in the performa...
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08/23/2023
Rotation-Invariant Completion Network
Real-world point clouds usually suffer from incompleteness and display d...
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08/18/2023
DReg-NeRF: Deep Registration for Neural Radiance Fields
Although Neural Radiance Fields (NeRF) is popular in the computer vision...
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07/14/2023
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
The Click-Through Rate (CTR) prediction task is critical in industrial r...
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07/06/2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Risk-sensitive reinforcement learning (RL) aims to optimize policies tha...
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06/15/2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
This paper introduces the Fair Fairness Benchmark (), a benchmarking fra...
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06/15/2023
A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications
Determining the drivable area, or free space segmentation, is critical f...
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06/12/2023
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection
Deepfake technologies empowered by deep learning are rapidly evolving, c...
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06/01/2023
Inference and Sampling of Point Processes from Diffusion Excursions
Point processes often have a natural interpretation with respect to a co...
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05/28/2023
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes
Many event sequence data exhibit mutually exciting or inhibiting pattern...
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05/24/2023
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
We propose attribute-aware multimodal entity linking, where the input is...
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05/24/2023
Harmonic Measures and Numerical Computation of Cauchy Problems for Laplace Equations
It is well known that Cauchy problem for Laplace equations is an ill-pos...
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05/23/2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Contrastively trained vision-language models have achieved remarkable pr...
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05/18/2023
BrutePrint: Expose Smartphone Fingerprint Authentication to Brute-force Attack
Fingerprint authentication has been widely adopted on smartphones to com...
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05/12/2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
The Schrödinger bridge problem (SBP) is gaining increasing attention in ...
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04/09/2023
Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm
As the feature size of semiconductor technology shrinks to 10 nm and bey...
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04/05/2023
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Learning-based video compression has been extensively studied over the p...
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03/25/2023
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
Recent works such as BARF and GARF can bundle adjust camera poses with n...
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03/10/2023
Visual Studio Code in Introductory Computer Science Course: An Experience Report
Involving integrated development environments (IDEs) in introductory-lev...
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01/28/2023
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion
Despite the impressive results achieved by many existing Structure from ...
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12/08/2022
HyperEnclave: An Open and Cross-platform Trusted Execution Environment
A number of trusted execution environments (TEEs) have been proposed by ...
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11/10/2022
Streaming Euclidean Max-Cut: Dimension vs Data Reduction
Max-Cut is a fundamental problem that has been studied extensively in va...
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11/09/2022
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition
Noisy Student Training (NST) has recently demonstrated extremely strong ...
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11/07/2022
Query Complexity of the Metric Steiner Tree Problem
We study the query complexity of the metric Steiner Tree problem, where ...
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10/20/2022
Estimating fine age structure and time trends in human contact patterns from coarse contact data: the Bayesian rate consistency model
Since the emergence of severe acute respiratory syndrome coronavirus 2 (...
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10/17/2022
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting
Analyzing both temporal and spatial patterns for an accurate forecasting...
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09/20/2022
Predictive Scale-Bridging Simulations through Active Learning
Throughout computational science, there is a growing need to utilize the...
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09/16/2022
On Weighted Graph Sparsification by Linear Sketching
A seminal work of [Ahn-Guha-McGregor, PODS'12] showed that one can compu...
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09/08/2022
A Study of Shared-Control with Force Feedback for Obstacle Avoidance in Whole-body Telelocomotion of a Wheeled Humanoid
Teleoperation has emerged as an alternative solution to fully-autonomous...
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08/30/2022
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning
Multi-user delay constrained scheduling is important in many real-world ...
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08/30/2022
Spacecraft depth completion based on the gray image and the sparse depth map
Perceiving the three-dimensional (3D) structure of the spacecraft is a p...
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08/25/2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
Accurate motion and depth recovery is important for many robot vision ta...
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08/02/2022
A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems
The fast integration of 5G communication, Artificial Intelligence (AI), ...
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07/22/2022
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication
Advancements in generative models, like Deepfake allows users to imitate...
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07/21/2022
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition
With an increasing number of elders living alone, care-giving from a dis...
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06/23/2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
We study reinforcement learning with linear function approximation where...
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05/12/2022
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
In recent years, deep learning-based approaches for visual-inertial odom...
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03/29/2022
A Distribution Evolutionary Algorithm for Graph Coloring
Graph Coloring Problem (GCP) is a classic combinatorial optimization pro...
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03/28/2022
Sublinear Algorithms and Lower Bounds for Estimating MST and TSP Cost in General Metrics
We consider the design of sublinear space and query complexity algorithm...
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03/25/2022
Fast fluorescence lifetime imaging analysis via extreme learning machine
We present a fast and accurate analytical method for fluorescence lifeti...
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02/25/2022
FAEP: Fast Autonomous Exploration Planner for UAV Equipped with Limited FOV Sensor
Autonomous exploration is one of the important parts to achieve the auto...
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02/14/2022
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
Alleviating the delayed feedback problem is of crucial importance for th...
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01/14/2022
Compact Graph Structure Learning via Mutual Information Compression
Graph Structure Learning (GSL) recently has attracted considerable atten...
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11/14/2021
A Polynomial Lower Bound on the Number of Rounds for Parallel Submodular Function Minimization and Matroid Intersection
Submodular function minimization (SFM) and matroid intersection are fund...
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10/21/2021
Unique Continuation on Quadratic Curves for Harmonic Functions
The unique continuation on quadratic curves for harmonic functions is di...
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09/29/2021
Influence of the Binomial Crossover on Performance of Evolutionary Algorithms
In differential Evolution (DE) algorithms, a crossover operation filteri...
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09/13/2021
Regression Analysis of Correlations for Correlated Data
Correlated data are ubiquitous in today's data-driven society. A fundame...
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09/08/2021
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs
Contrastive Learning (CL) is one of the most popular self-supervised lea...
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08/25/2021
