b'Bin Hu'

research

∙ 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...

0 Bin Hu, et al. ∙

research

∙ 05/25/2023

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

Neural networks are known to be susceptible to adversarial samples: smal...

0 Haotian Xue, et al. ∙

research

∙ 03/06/2023

A Unified Algebraic Perspective on Lipschitz Neural Networks

Important research efforts have focused on the design and training of ne...

0 Alexandre Araujo, et al. ∙

research

∙ 02/27/2023

Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation

Eliminating examination bias accurately is pivotal to apply click-throug...

0 Xiaoshu Chen, et al. ∙

research

∙ 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...

0 Xiangsheng Li, et al. ∙

research

∙ 02/03/2023

Uniform tensor clustering by jointly exploring sample affinities of various orders

Conventional clustering methods based on pairwise affinity usually suffe...

0 Hongmin Cai, et al. ∙

research

∙ 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...

0 Xiangyuan Zhang, et al. ∙

research

∙ 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...

0 Xingang Guo, et al. ∙

research

∙ 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...

0 Bin Hu, et al. ∙

research

∙ 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...

0 Huayu Chen, et al. ∙

research

∙ 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 ...

0 Jun-Kun Wang, et al. ∙

research

∙ 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...

0 Cong Wang, et al. ∙

research

∙ 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 ...

0 Xingang Guo, et al. ∙

research

∙ 03/02/2022

Audio Self-supervised Learning: A Survey

Inspired by the humans' cognitive ability to generalise knowledge and sk...

0 Shuo Liu, et al. ∙

research

∙ 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...

0 Xingang Guo, et al. ∙

research

∙ 01/04/2022

Data Augmentation for Depression Detection Using Skeleton-Based Gait Information

In recent years, the incidence of depression is rising rapidly worldwide...

0 Jingjing Yang, et al. ∙

research

∙ 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 ...

3 Aaron Havens, et al. ∙

research

∙ 11/30/2021

Model-Free μ Synthesis via Adversarial Reinforcement Learning

Motivated by the recent empirical success of policy-based reinforcement ...

0 Darioush Keivan, et al. ∙

research

∙ 11/15/2021

Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration

Medical image segmentation is one of the fundamental problems for artifi...

25 Wenhao Li, et al. ∙

research

∙ 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...

0 Xiaofang Sun, et al. ∙

research

∙ 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 ...

0 Kai Ye, et al. ∙

research

∙ 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...

0 Hongping Zhang, et al. ∙

research

∙ 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...

1 Haocong Rao, et al. ∙

research

∙ 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...

6 Haocong Rao, et al. ∙

research

∙ 05/13/2021

A Hybrid Wired/Wireless Deterministic Network for Smart Grid

With the rapid growth of time-critical applications in smart grid, robot...

0 Bin Hu, et al. ∙

research

∙ 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 ...

0 Xinggang Wang, et al. ∙

research

∙ 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 ...

0 Aaron Havens, et al. ∙

research

∙ 03/17/2021

Revisiting the Loss Weight Adjustment in Object Detection

By definition, object detection requires a multi-task loss in order to s...

0 Wenxin Yu, et al. ∙

research

∙ 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...

0 Yizhong Liu, et al. ∙

research

∙ 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...

0 Kaiqing Zhang, et al. ∙

research

∙ 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 ...

0 Joao Paulo Jansch-Porto, et al. ∙

research

∙ 11/14/2020

Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition

In this paper, we focus on unsupervised representation learning for skel...

0 Shihao Xu, et al. ∙

research

∙ 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...

9 Haocong Rao, et al. ∙

research

∙ 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...

0 Bin Hu, et al. ∙

research

∙ 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...

14 Haocong Rao, et al. ∙

research

∙ 08/08/2020

Service Ecosystem: A Lens of Smart Society

Intelligence services are playing an increasingly important role in the ...

0 Xiao Xue, et al. ∙

research

∙ 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...

3 Haocong Rao, et al. ∙

research

∙ 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...

0 Joao Paulo Jansch-Porto, et al. ∙

research

∙ 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...

0 Shihao Xu, et al. ∙

research

∙ 02/28/2020

Deterministic Intra-Vehicle Communications: Timing and Synchronization

As we power through to the future, in-vehicle communications reliance on...

0 Hamid Gharavi, et al. ∙

research

∙ 02/23/2020

A study of resting-state EEG biomarkers for depression recognition

Background: Depression has become a major health burden worldwide, and e...

0 Shuting Sun, et al. ∙

research

∙ 02/22/2020

A Novel Decision Tree for Depression Recognition in Speech

Depression is a common mental disorder worldwide which causes a range of...

0 Zhenyu Liu, et al. ∙

research

∙ 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...

0 Hanshu Cai, et al. ∙

research

∙ 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...

0 Hanshu Cai, et al. ∙

research

∙ 02/10/2020

Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems

Recently, policy optimization for control purposes has received renewed ...

0 Joao Paulo Jansch-Porto, et al. ∙

research

∙ 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...

0 Gang Bao, et al. ∙

research

∙ 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 ...

0 Kaiqing Zhang, et al. ∙

research

∙ 10/09/2019

Supervised feature selection with orthogonal regression and feature weighting

Effective features can improve the performance of a model, which can thu...

0 Xia Wu, et al. ∙

research

∙ 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...

0 Bin Hu, et al. ∙

research

∙ 06/13/2019

Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach

Rapid and massive adoption of mobile/ online payment services has brough...

0 Da Sun Handason Tam, et al. ∙

Bin Hu

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