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08/24/2023
WavMark: Watermarking for Audio Generation
Recent breakthroughs in zero-shot voice synthesis have enabled imitating...
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08/09/2023
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
Real-world single image denoising is crucial and practical in computer v...
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07/17/2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
We study robust reinforcement learning (RL) with the goal of determining...
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06/24/2023
Instrumental Variable Approach to Estimating Individual Causal Effects in N-of-1 Trials: Application to ISTOP Study
An N-of-1 trial is a multiple crossover trial conducted in a single indi...
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06/09/2023
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Chemistry and materials science are complex. Recently, there have been g...
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06/08/2023
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance Fields
The quality of three-dimensional reconstruction is a key factor affectin...
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04/26/2023
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation
Medical image segmentation methods normally perform poorly when there is...
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04/14/2023
Detector Design and Performance Analysis for Target Detection in Subspace Interference
It is often difficult to obtain sufficient training data for adaptive si...
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03/22/2023
Edge Deep Learning Model Protection via Neuron Authorization
With the development of deep learning processors and accelerators, deep ...
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03/10/2023
CRC-based Reliable WiFi Backscatter Communiation for Supply Chain Management
Supply chain management is aimed to keep going long-term performance of ...
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03/09/2023
Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation
Audio-driven talking face has attracted broad interest from academia and...
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02/22/2023
Trip-based mobile sensor deployment for drive-by sensing with bus fleets
Drive-by sensing (i.e. vehicle-based mobile sensing) is an emerging data...
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01/09/2023
A survey of urban drive-by sensing: An optimization perspective
Pervasive and mobile sensing is an integral part of smart transport and ...
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11/08/2022
BER: Balanced Error Rate For Speaker Diarization
DER is the primary metric to evaluate diarization performance while faci...
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07/16/2022
Home-made blues: Residential crowding and mental health in Beijing, China
Although residential crowding has many well-being implications, its conn...
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07/12/2022
Normalized Feature Distillation for Semantic Segmentation
As a promising approach in model compression, knowledge distillation imp...
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06/11/2022
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Federated learning (FL) is a distributed machine learning approach where...
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06/10/2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
We study policy optimization for Markov decision processes (MDPs) with m...
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06/03/2022
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
We present Falconn++, a novel locality-sensitive filtering (LSF) approac...
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03/22/2022
Autonomous Bikebot Control for Crossing Obstacles with Assistive Leg Impulsive Actuation
As a single-track mobile platform, bikebot (i.e., bicycle-based robot) h...
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03/19/2022
Coordinated Pose Control of Mobile Manipulation with an Unstable Bikebot Platform
Bikebot manipulation has advantages of the single-track robot mobility a...
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02/07/2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
As an important application in remote sensing, landcover classification ...
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02/07/2022
Energy Harvesting Aware Multi-hop Routing Policy in Distributed IoT System Based on Multi-agent Reinforcement Learning
Energy harvesting technologies offer a promising solution to sustainably...
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11/25/2021
Time Series Forecasting with Ensembled Stochastic Differential Equations Driven by Lévy Noise
With the fast development of modern deep learning techniques, the study ...
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10/31/2021
Fast Global Convergence of Policy Optimization for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
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10/12/2021
Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations
We present a fast block direct solver for the unified dynamic simulation...
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09/27/2021
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Motivated by the problem of learning when the number of training samples...
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09/27/2021
Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study
Information flows are intrinsic properties of an multi-stage manufacturi...
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09/24/2021
Finding Taint-Style Vulnerabilities in Linux-based Embedded Firmware with SSE-based Alias Analysis
Although the importance of using static analysis to detect taint-style v...
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09/07/2021
A Biologically Plausible Learning Rule for Perceptual Systems of organisms that Maximize Mutual Information
It is widely believed that the perceptual system of an organism is optim...
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06/06/2021
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Chronological age of healthy people is able to be predicted accurately u...
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06/04/2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
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05/08/2021
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Recently, satellites with high temporal resolution have fostered wide at...
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03/03/2021
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
The rapid development of remote sensing techniques provides rich, large-...
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01/13/2021
Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures
Lattice structures have been widely used in various applications of addi...
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12/18/2020
Fast and Efficient Parallel Breadth-First Search with Power-law Graph Transformation
In the big data era, graph computing is widely used to exploit the hidde...
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11/01/2020
Informed Pooled Testing with Quantitative Assays
Pooled testing is widely used for screening for viral or bacterial infec...
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10/01/2020
Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure
The World Health Organization (WHO) guidelines for monitoring the effect...
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07/01/2020
MLPs to Find Extrema of Functionals
Multilayer perceptron (MLP) is a class of networks composed of multiple ...
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05/26/2020
BHN: A Brain-like Heterogeneous Network
The human brain works in an unsupervised way, and more than one brain re...
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12/31/2019
Logic Bugs in IoT Platforms and Systems: A Review
In recent years, IoT platforms and systems have been rapidly emerging. A...
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11/21/2019
Voice-Face Cross-modal Matching and Retrieval: A Benchmark
Cross-modal associations between voice and face from a person can be lea...
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09/12/2019
UER: An Open-Source Toolkit for Pre-training Models
Existing works, including ELMO and BERT, have revealed the importance of...
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08/27/2019
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
The state-of-art DNN structures involve intensive computation and high m...
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08/27/2019
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
Emotion is well-recognized as a distinguished symbol of human beings, an...
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06/13/2019
Thread Batching for High-performance Energy-efficient GPU Memory Design
Massive multi-threading in GPU imposes tremendous pressure on memory sub...
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04/09/2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Cloud based medical image analysis has become popular recently due to th...
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12/16/2018
Classification using Ensemble Learning under Weighted Misclassification Loss
Binary classification rules based on covariates typically depend on simp...
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07/26/2018
Novelty Detection Meets Collider Physics
Novelty detection is the machine learning task to recognize data, which ...
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05/12/2018
