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09/21/2023
HiCRISP: A Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner
The integration of Large Language Models (LLMs) into robotics has revolu...
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09/19/2023
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
We investigate the problem of learning an ϵ-approximate solution for the...
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07/24/2023
New Covert and Side Channels Based on Retirement
Intel processors utilize the retirement to orderly retire the micro-ops ...
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07/10/2023
Measuring and Mitigating Interference in Reinforcement Learning
Catastrophic interference is common in many network-based learning syste...
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07/09/2023
CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection
Automatic hardhat wearing detection can strengthen the safety management...
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07/07/2023
A Joint Design for Full-duplex OFDM AF Relay System with Precoded Short Guard Interval
In-band full-duplex relay (FDR) has attracted much attention as an effec...
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06/26/2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks
Modern automotive functions are controlled by a large number of small co...
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06/16/2023
Clickbait Detection via Large Language Models
Clickbait, which aims to induce users with some surprising and even thri...
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06/15/2023
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
The identification of compound-protein interactions (CPI) plays a critic...
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06/07/2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Offline reinforcement learning (RL) offers an appealing approach to real...
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06/03/2023
BandwidthBreach: Unleashing Covert and Side Channels through Cache Bandwidth Exploitation
In the modern CPU architecture, enhancements such as the Line Fill Buffe...
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05/28/2023
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
Recent research has focused on using large language models (LLMs) to gen...
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05/12/2023
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links
In recent decades, due to the emerging requirements of computation accel...
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05/09/2023
Voicify Your UI: Towards Android App Control with Voice Commands
Nowadays, voice assistants help users complete tasks on the smartphone w...
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04/25/2023
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Manipulation relationship detection (MRD) aims to guide the robot to gra...
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04/20/2023
BackCache: Mitigating Contention-Based Cache Timing Attacks by Hiding Cache Line Evictions
Caches are used to reduce the speed differential between the CPU and mem...
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04/11/2023
Manuscript of a method for improving wear in intermittently computing file systems
For the first time, the repeated wear phenomenon of high-frequency power...
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04/04/2023
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
The Electrocardiogram (ECG) measures the electrical cardiac activity gen...
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04/03/2023
Learning Personalized Models with Clustered System Identification
We address the problem of learning linear system models from observing m...
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02/28/2023
The In-Sample Softmax for Offline Reinforcement Learning
Reinforcement learning (RL) agents can leverage batches of previously co...
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02/02/2023
Avoiding Model Estimation in Robust Markov Decision Processes with a Generative Model
Robust Markov Decision Processes (MDPs) are getting more attention for l...
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01/09/2023
MIS: A Multi-Identifier Management and Resolution System Based on Consortium Blockchain in Metaverse
As digital resources become diverse in the metaverse, a DNS-like system ...
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12/12/2022
GWRBoost:A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships
The geographically weighted regression (GWR) is an essential tool for es...
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11/12/2022
Pre-training strategy for solving evolution equations based on physics-informed neural networks
The physics informed neural network (PINN) is a promising method for sol...
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11/09/2022
Safety-Critical Optimal Control for Robotic Manipulators in A Cluttered Environment
Designing safety-critical control for robotic manipulators is challengin...
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11/09/2022
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
When reading a story, humans can rapidly understand new fictional charac...
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10/23/2022
Language Model Pre-Training with Sparse Latent Typing
Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...
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09/29/2022
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response
Location-based services (LBS) have been significantly developed and wide...
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09/29/2022
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications
Causal inference and model interpretability research are gaining increas...
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09/06/2022
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
Recent years have witnessed a trend of applying context frames to boost ...
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08/17/2022
Ask Question First for Enhancing Lifelong Language Learning
Lifelong language learning aims to stream learning NLP tasks while retai...
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08/17/2022
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation
Machine learning assisted modeling of the inter-atomic potential energy ...
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06/27/2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Outsourcing anomaly detection to third-parties can allow data owners to ...
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06/21/2022
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials
Recently, the development of machine learning (ML) potentials has made i...
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05/30/2022
An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs
The ongoing COVID-19 pandemic highlights the importance of dashboards fo...
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05/22/2022
RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning
Lifelong Language Learning (LLL) aims to train a neural network to learn...
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05/18/2022
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
The performance of reinforcement learning (RL) agents is sensitive to th...
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05/09/2022
Multi-modal Semantic SLAM for Complex Dynamic Environments
Simultaneous Localization and Mapping (SLAM) is one of the most essentia...
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05/05/2022
DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation
Driving trajectory representation learning is of great significance for ...
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04/25/2022
A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem
The task assignment problem is fundamental in combinatorial optimisation...
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04/19/2022
Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard
The Coronavirus disease 2019 (COVID-19) outbreak quickly spread around t...
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04/18/2022
Configuration-Aware Safe Control for Mobile Robotic Arm with Control Barrier Functions
Collision avoidance is a widely investigated topic in robotic applicatio...
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04/13/2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Prompt-based learning (i.e., prompting) is an emerging paradigm for expl...
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03/30/2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning
In this paper we investigate the properties of representations learned b...
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03/28/2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Federated learning is a framework for distributed optimization that plac...
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02/02/2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
PromptSource is a system for creating, sharing, and using natural langua...
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01/05/2022
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms
High-performance computing, together with a neural network model trained...
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12/08/2021
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Due to the representation limitation of the joint Q value function, mult...
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12/08/2021
Learning Linear Models Using Distributed Iterative Hessian Sketching
This work considers the problem of learning the Markov parameters of a l...
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10/26/2021
