Search Results for author: Yang Zheng

Found 33 papers, 16 papers with code

Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment

no code implementations3 Jan 2023 Liqun Lin, Yang Zheng, Weiling Chen, Chengdong Lan, Tiesong Zhao

In this paper, we investigate the influence of four spatial PEAs (i. e. blurring, blocking, bleeding, and ringing) and two temporal PEAs (i. e. flickering and floating) on video quality.

Video Quality Assessment

Dimension Reduction for Efficient Data-Enabled Predictive Control

no code implementations7 Nov 2022 Kaixiang Zhang, Yang Zheng, Zhaojian Li

This generally leads to an excessive amount of offline data, which consequently results in a high-dimension optimization problem in online predictive control.

Dimensionality Reduction

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator

no code implementations12 Sep 2022 Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao

At the core of our results is the uniqueness of the stationary point of dLQR when it is observable, which is in a concise form of an observer-based controller with the optimal similarity transformation.

Decision Making

6D Camera Relocalization in Visually Ambiguous Extreme Environments

no code implementations13 Jul 2022 Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas

To this end, we propose: (i) a hierarchical localization system, where we leverage temporal information and (ii) a novel environment-aware image enhancement method to boost the robustness and accuracy.

Camera Relocalization Image Enhancement

Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic

no code implementations22 May 2022 Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng

Data-driven predictive control of connected and automated vehicles (CAVs) has received increasing attention as it can achieve safe and optimal control without relying on explicit dynamical models.

Privacy Preserving

GIMO: Gaze-Informed Human Motion Prediction in Context

1 code implementation20 Apr 2022 Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas

We perform an extensive study of the benefits of leveraging the eye gaze for ego-centric human motion prediction with various state-of-the-art architectures.

Human motion prediction motion prediction

Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks

no code implementations11 Apr 2022 Ryan Vogt, Yang Zheng, Eli Shlizerman

To address the fact that RNN features go beyond the existing Lyapunov spectral analysis, we propose to infer relevant features from the Lyapunov spectrum with an Autoencoder and an embedding of its latent representation (AeLLE).

Time Series

Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed Traffic

1 code implementation7 Apr 2022 Jiawei Wang, Yang Zheng, Jianghong Dong, Chaoyi Chen, Mengchi Cai, Keqiang Li, Qing Xu

In this paper, we present the first experimental results of data-driven predictive control for connected and autonomous vehicles (CAVs) in dissipating traffic waves.

Autonomous Vehicles Traffic Prediction

DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow

1 code implementation20 Mar 2022 Jiawei Wang, Yang Zheng, Keqiang Li, Qing Xu

For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies.

Autonomous Vehicles

Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic

no code implementations19 Oct 2021 Jiawei Wang, Yang Zheng, Qing Xu, Keqiang Li

In this paper, instead of relying on a parametric car-following model, we introduce a data-driven predictive control strategy to achieve safe and optimal control for CAVs in mixed traffic.

Autonomous Vehicles

Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control

2 code implementations8 Feb 2021 Yang Zheng, Yujie Tang, Na Li

This paper revisits the classical Linear Quadratic Gaussian (LQG) control from a modern optimization perspective.

Policy Gradient Methods Optimization and Control Systems and Control Systems and Control Dynamical Systems

Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability

1 code implementation8 Dec 2020 Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li

Most existing strategies for CAVs' longitudinal control focus on downstream traffic conditions, but neglect the impact of CAVs' behaviors on upstream traffic flow.

Autonomous Vehicles

Probing blood pressure and arterial stiffness noninvasively by guided axial waves

no code implementations4 Dec 2020 Guo-Yang Li, YuXuan Jiang, Yang Zheng, Weiqiang Xu, Zhaoyi Zhang, Yanping Cao

The results and methods reported in this study show the group velocity and dispersion relation of the guided waves can be adopted to probe BP and arterial stiffness noninvasively and thus promising for early diagnosis of the CVDs.

Medical Physics Soft Condensed Matter 74J05, 74L15, 92C50

Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning

no code implementations8 Sep 2020 Keqiang Li, Jiawei Wang, Yang Zheng

In mixed traffic flow consisting of AVs and human-driven vehicles (HDVs), the prevailing platooning of multiple AVs is not the only choice for cooperative formation.

Autonomous Vehicles

Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories

1 code implementation1 Sep 2020 Yang Zheng, Na Li

For unstable systems, our results suggest that the Markov parameters are harder to estimate in the presence of process noise.

Optimization and Control Systems and Control Systems and Control Dynamical Systems

Leading Cruise Control in Mixed Traffic Flow

1 code implementation23 Jul 2020 Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li

Numerical studies confirm the potential of LCC to strengthen the capability of CAVs in suppressing traffic instabilities and smoothing traffic flow.

Systems and Control Systems and Control Optimization and Control

Sum-of-squares chordal decomposition of polynomial matrix inequalities

2 code implementations22 Jul 2020 Yang Zheng, Giovanni Fantuzzi

Third, we prove that if $P$ is positive definite on a compact semialgebraic set $\mathcal{K}=\{x:g_1(x)\geq 0,\ldots, g_m(x)\geq 0\}$ satisfying the Archimedean condition, then $P(x) = S_0(x) + g_1(x)S_1(x) + \cdots + g_m(x)S_m(x)$ for matrices $S_i(x)$ that are sums of sparse SOS matrices.

Optimization and Control Data Structures and Algorithms Systems and Control Systems and Control Algebraic Geometry

BI-MAML: Balanced Incremental Approach for Meta Learning

no code implementations12 Jun 2020 Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman

The balanced learning strategy enables BI-MAML to both outperform other state-of-the-art models in terms of classification accuracy for existing tasks and also accomplish efficient adaption to similar new tasks with less required shots.

General Classification Image Classification +1

R-FORCE: Robust Learning for Random Recurrent Neural Networks

no code implementations25 Mar 2020 Yang Zheng, Eli Shlizerman

Random Recurrent Neural Networks (RRNN) are the simplest recurrent networks to model and extract features from sequential data.

Time Series

GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection

no code implementations16 Mar 2019 Yang Zheng, Izzat H. Izzat, Shahrzad Ziaee

In this paper, we propose two variations of novel Gated Fusion Units (GFU), that learn the combination of feature maps generated by the two SSD middle layers.

Autonomous Driving Pedestrian Detection

Exploring OpenStreetMap Availability for Driving Environment Understanding

no code implementations11 Mar 2019 Yang Zheng, Izzat H. Izzat, John H. L. Hansen

An intelligent vehicle should be able to understand the driver's perception of the environment as well as controlling behavior of the vehicle.

Autonomous Driving Semantic Segmentation

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

3 code implementations19 Sep 2018 Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

Both TStarBot1 and TStarBot2 are able to defeat the built-in AI agents from level 1 to level 10 in a full game (1v1 Zerg-vs-Zerg game on the AbyssalReef map), noting that level 8, level 9, and level 10 are cheating agents with unfair advantages such as full vision on the whole map and resource harvest boosting.

Decision Making Starcraft +1

Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials

2 code implementations14 Jul 2018 Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou

Optimization over non-negative polynomials is fundamental for nonlinear systems analysis and control.

Optimization and Control Systems and Control

Decomposition and Completion of Sum-of-Squares Matrices

2 code implementations8 Apr 2018 Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou

We show that a subset of sparse SOS matrices with chordal sparsity patterns can be equivalently decomposed into a sum of multiple SOS matrices that are nonzero only on a principal submatrix.

Optimization and Control Systems and Control

Chordal decomposition in operator-splitting methods for sparse semidefinite programs

2 code implementations17 Jul 2017 Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn

We employ chordal decomposition to reformulate a large and sparse semidefinite program (SDP), either in primal or dual standard form, into an equivalent SDP with smaller positive semidefinite (PSD) constraints.

Optimization and Control

Fast ADMM for homogeneous self-dual embedding of sparse SDPs

2 code implementations6 Nov 2016 Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn

We propose an efficient first-order method, based on the alternating direction method of multipliers (ADMM), to solve the homogeneous self-dual embedding problem for a primal-dual pair of semidefinite programs (SDPs) with chordal sparsity.

Optimization and Control

Fast ADMM for Semidefinite Programs with Chordal Sparsity

2 code implementations20 Sep 2016 Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn

We show that chordal decomposition can be applied to either the primal or the dual standard form of a sparse SDP, resulting in scaled versions of ADMM algorithms with the same computational cost.

Optimization and Control

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