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06/06/2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Large language models (LLMs) encode a vast amount of world knowledge acq...
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05/25/2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Neural networks are known to be susceptible to adversarial samples: smal...
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03/06/2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
Important research efforts have focused on the design and training of ne...
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02/27/2023
Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation
Eliminating examination bias accurately is pivotal to apply click-throug...
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02/27/2023
Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking
Pre-trained language models have achieved great success in various large...
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02/03/2023
Uniform tensor clustering by jointly exploring sample affinities of various orders
Conventional clustering methods based on pairwise affinity usually suffe...
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01/30/2023
Learning the Kalman Filter with Fine-Grained Sample Complexity
We develop the first end-to-end sample complexity of model-free policy g...
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10/20/2022
Global Convergence of Direct Policy Search for State-Feedback ℋ_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Direct policy search has been widely applied in modern reinforcement lea...
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10/10/2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Gradient-based methods have been widely used for system design and optim...
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09/13/2022
Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition
Cross-dataset emotion recognition as an extremely challenging task in th...
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06/22/2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
Heavy Ball (HB) nowadays is one of the most popular momentum methods in ...
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04/29/2022
Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
Energy is an essential, but often forgotten aspect in large-scale federa...
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04/20/2022
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation
In this paper, we consider the policy evaluation problem in multi-agent ...
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03/02/2022
Audio Self-supervised Learning: A Survey
Inspired by the humans' cognitive ability to generalise knowledge and sk...
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02/14/2022
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods
Value-based methods play a fundamental role in Markov decision processes...
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01/04/2022
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information
In recent years, the incidence of depression is rising rapidly worldwide...
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01/03/2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control
Many existing region-of-attraction (ROA) analysis tools find difficulty ...
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11/30/2021
Model-Free μ Synthesis via Adversarial Reinforcement Learning
Motivated by the recent empirical success of policy-based reinforcement ...
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11/15/2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Medical image segmentation is one of the fundamental problems for artifi...
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11/02/2021
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks
On the increase of major depressive disorders (MDD), many researchers pa...
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07/06/2021
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
The main challenges of image-to-image (I2I) translation are to make the ...
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07/05/2021
An extended watershed-based zonal statistical AHP model for flood risk estimation: Constraining runoff converging related indicators by sub-watersheds
Floods are highly uncertain events, occurring in different regions, with...
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07/05/2021
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification
Person re-identification via 3D skeletons is an emerging topic with grea...
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06/06/2021
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
Skeleton-based person re-identification (Re-ID) is an emerging open topi...
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05/13/2021
A Hybrid Wired/Wireless Deterministic Network for Smart Grid
With the rapid growth of time-critical applications in smart grid, robot...
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04/04/2021
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
Humans have a strong class-agnostic object segmentation ability and can ...
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03/24/2021
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions
When applying imitation learning techniques to fit a policy from expert ...
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03/17/2021
Revisiting the Loss Weight Adjustment in Object Detection
By definition, object detection requires a multi-task loss in order to s...
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02/26/2021
Building Blocks of Sharding Blockchain Systems: Concepts, Approaches, and Open Problems
Sharding is the prevalent approach to breaking the trilemma of simultane...
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01/04/2021
Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Direct policy search serves as one of the workhorses in modern reinforce...
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11/24/2020
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
Recently, policy optimization for control purposes has received renewed ...
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11/14/2020
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
In this paper, we focus on unsupervised representation learning for skel...
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09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
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08/31/2020
A Comprehensive Survey on Smart Contract Construction and Execution: Paradigms, Tools and Systems
Smart contract has been regarded as one of the most promising and appeal...
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08/21/2020
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Gait-based person re-identification (Re-ID) is valuable for safety-criti...
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08/08/2020
Service Ecosystem: A Lens of Smart Society
Intelligence services are playing an increasingly important role in the ...
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08/01/2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Action recognition via 3D skeleton data is an emerging important topic i...
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06/04/2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
Markovian jump linear systems (MJLS) are an important class of dynamical...
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03/13/2020
Emotion Recognition From Gait Analyses: Current Research and Future Directions
Human gait refers to a daily motion that represents not only mobility, b...
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02/28/2020
Deterministic Intra-Vehicle Communications: Timing and Synchronization
As we power through to the future, in-vehicle communications reliance on...
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02/23/2020
A study of resting-state EEG biomarkers for depression recognition
Background: Depression has become a major health burden worldwide, and e...
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02/22/2020
A Novel Decision Tree for Depression Recognition in Speech
Depression is a common mental disorder worldwide which causes a range of...
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02/20/2020
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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02/20/2020
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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02/10/2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems
Recently, policy optimization for control purposes has received renewed ...
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01/16/2020
An adaptive finite element DtN method for the three-dimensional acoustic scattering problem
This paper is concerned with a numerical solution of the acoustic scatte...
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10/21/2019
Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence
Policy optimization (PO) is a key ingredient for reinforcement learning ...
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10/09/2019
Supervised feature selection with orthogonal regression and feature weighting
Effective features can improve the performance of a model, which can thu...
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06/16/2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
In this paper, we provide a unified analysis of temporal difference lear...
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06/13/2019
