Search Results for author: Wenjie Liu

Found 36 papers, 8 papers with code

Distributed Data-driven Unknown-input Observers

no code implementations9 Jan 2024 Yuzhou Wei, Giorgia Disarò, Wenjie Liu, Jian Sun, Maria Elena Valcher, Gang Wang

Moving to a data-driven approach, it is shown that the input/output/state trajectories of the system are compatible with the equations of a D-DUIO, and this allows, under suitable assumptions, to express the matrices of a possible DUIO in terms of the matrices of pre-collected data.

Robust Control of Unknown Switched Linear Systems from Noisy Data

no code implementations19 Nov 2023 Wenjie Liu, Yifei Li, Jian Sun, Gang Wang, Jie Chen

This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics.

A quantum segmentation algorithm based on local adaptive threshold for NEQR image

no code implementations2 Oct 2023 Lu Wang, Wenjie Liu

In this paper, a quantum segmentation algorithm based on local adaptive threshold for NEQR image is proposed, which can use quantum mechanism to simultaneously compute local thresholds for all pixels in a gray-scale image and quickly segment the image into a binary image.

Binarization Image Segmentation +1

Quantum Image Segmentation Based on Grayscale Morphology

no code implementations2 Oct 2023 Wenjie Liu, Lu Wang, Mengmeng Cui

The classical image segmentation algorithm based on grayscale morphology can effectively segment images with uneven illumination, but with the increase of the image data, the real-time problem will emerge.

Image Segmentation Segmentation +1

Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing

no code implementations1 Oct 2023 Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption.

Computational Efficiency Decision Making +2

A quantum moving target segmentation algorithm for grayscale video

no code implementations1 Oct 2023 Wenjie Liu, Lu Wang, Qingshan Wu

For a quantum video with $2^m$ frames (every frame is a $2^n\times 2^n$ image with $q$ grayscale levels), the complexity of our algorithm can be reduced to O$(n^2 + q)$.

Binarization Segmentation

Quantum image edge detection based on eight-direction Sobel operator for NEQR

no code implementations1 Oct 2023 Wenjie Liu, Lu Wang

However, the existing QSED algorithms only consider two- or four-direction Sobel operator, which leads to a certain loss of edge detail information in some high-definition images.

Edge Detection

A quantum system control method based on enhanced reinforcement learning

no code implementations30 Sep 2023 Wenjie Liu, Bosi Wang, Jihao Fan, Yebo Ge, Mohammed Zidan

Traditional quantum system control methods often face different constraints, and are easy to cause both leakage and stochastic control errors under the condition of limited resources.


A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud

no code implementations30 Sep 2023 Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong

In order to solve these problems, a hybrid quantum-classical conditional generative adversarial network (QCGAN) algorithm is proposed, which is a knowledge-driven human-computer interaction computing mode that can be implemented in cloud.

Cloud Computing Generative Adversarial Network +1

A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning

no code implementations29 Sep 2023 Wenjie Liu, Jing Xu, Bosi Wang

To solve the above problems, a difference-driven reinforcement learning (RL) algorithm for quantum state preparation of two-qubit system is proposed by improving the reward function and action selection strategy.

reinforcement-learning Reinforcement Learning (RL)

Solving Low-Dose CT Reconstruction via GAN with Local Coherence

no code implementations24 Sep 2023 Wenjie Liu

The Computed Tomography (CT) for diagnosis of lesions in human internal organs is one of the most fundamental topics in medical imaging.

Computed Tomography (CT) Optical Flow Estimation

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

no code implementations23 Sep 2023 Wenjie Liu, Peipei Gao, Yuxiang Wang, Wenbin Yu, Maojun Zhang

In order to solve the problem of non-ideal training sets (i. e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where the singular value decomposition of the total weight matrix from the training set is calculated to make the weight matrix to be unitary.

A Block-Ring connected Topology of Parameterized Quantum Circuits

no code implementations21 Aug 2023 Wenjie Liu, Qingshan Wu

Compared with the pure all-to-all topology circuits which own the best power, BR topology have similar performance and the number of parameters and 2-qubit gate reduced from 0(n^2) to 0(mn) , m is a hyperparameter set by ourselves.

Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data

no code implementations14 Jul 2023 Yifei Li, Wenjie Liu, Jian Sun, Gang Wang, Lihua Xie, Jie Chen

This method utilizes measured data and a noise-matrix polytope to ensure near-optimal output synchronization.

Multi-stage Progressive Reasoning for Dunhuang Murals Inpainting

no code implementations10 May 2023 Wenjie Liu, Baokai Liu, Shiqiang Du, Yuqing Shi, Jiacheng Li, Jianhua Wang

The execution of the model is similar to the process of a mural restorer (i. e., inpainting the structure of the damaged mural globally first and then adding the local texture details further).

Image Inpainting

Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement

1 code implementation ICASSP 2023 Wenjie Liu, Bingshu Wang, Jiangbin Zheng, Wenmin Wang

Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.

Binarization Document Shadow Removal +1

Learning Robust Data-based LQG Controllers from Noisy Data

no code implementations2 May 2023 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

In this work, a data-based formulation for computing the steady-state Kalman gain is proposed based on semi-definite programming (SDP) using some noise-free input-state-output data.

Self-triggered Resilient Stabilization of Linear Systems with Quantized Output

no code implementations14 Feb 2023 Wenjie Liu, Masashi Wakaiki, Jian Sun, Gang Wang, Jie Chen

If, in addition, the transmission protocols at the controller-to-actuator (C-A) and sensor-to-controller (S-C) channels can be adapted, the self-triggered control architecture can be considerably simplified, leveraging a delicate observer-based deadbeat controller to eliminate the need for running the controller in parallel at the encoder side.

Towards Accurate Acne Detection via Decoupled Sequential Detection Head

no code implementations28 Jan 2023 Xin Wei, Lei Zhang, Jianwei Zhang, Junyou Wang, Wenjie Liu, Jiaqi Li, Xian Jiang

In addition, we build a high-quality acne detection dataset named ACNE-DET to verify the effectiveness of DSDH.

Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery

no code implementations11 Jan 2023 Yongqiang Mao, Kaiqiang Chen, Liangjin Zhao, Wei Chen, Deke Tang, Wenjie Liu, Zhirui Wang, Wenhui Diao, Xian Sun, Kun fu

Our Building3D is rooted in the SFFDE network for building elevation prediction, synchronized with a building extraction network for building masks, and then sequentially performs point cloud reconstruction, surface reconstruction (or CityGML model reconstruction).

Point cloud reconstruction Surface Reconstruction

An advanced YOLOv3 method for small object detection

no code implementations6 Dec 2022 Baokai Liu, Fengjie He, Shiqiang Du, Jiacheng Li, Wenjie Liu

Small object detection has important application value in the fields of autonomous driving and drone scene analysis.

Autonomous Driving Object +2

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

1 code implementation2 Dec 2022 Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu

In this paper, we propose SoftCorrect with a soft error detection mechanism to avoid the limitations of both explicit and implicit error detection.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

1 code implementation23 Nov 2022 Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin

Since the error rate of the incorrect sentence is usually low (e. g., 10\%), the correction model can only learn to correct on limited error tokens but trivially copy on most tokens (correct tokens), which harms the effective training of error correction.

Sentence speech-recognition +1

Coresets for Wasserstein Distributionally Robust Optimization Problems

1 code implementation9 Oct 2022 Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

Though it is challenging to obtain a conventional coreset for \textsf{WDRO} due to the uncertainty issue of ambiguous data, we show that we can compute a ``dual coreset'' by using the strong duality property of \textsf{WDRO}.

A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment

1 code implementation7 Sep 2022 Hu Ding, Wenjie Liu, Mingquan Ye

Our framework is a ``data-dependent'' approach that has the complexity depending on the intrinsic dimension of the input data.

Vocal Bursts Intensity Prediction

Data-driven Self-triggered Control via Trajectory Prediction

no code implementations18 Jul 2022 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity.

Model Predictive Control Trajectory Prediction

A Novel Sequential Coreset Method for Gradient Descent Algorithms

no code implementations5 Dec 2021 Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding

A wide range of optimization problems arising in machine learning can be solved by gradient descent algorithms, and a central question in this area is how to efficiently compress a large-scale dataset so as to reduce the computational complexity.

Data Compression

Data-Driven Resilient Predictive Control under Denial-of-Service

no code implementations25 Oct 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Finally, a numerical example is given to validate the effectiveness of the proposed control method.

Model Predictive Control

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

1 code implementation Findings (EMNLP) 2021 Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Wenjie Liu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu

Although multiple candidates are generated by an ASR system through beam search, current error correction approaches can only correct one sentence at a time, failing to leverage the voting effect from multiple candidates to better detect and correct error tokens.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

UAV-aided Radio Map Construction Exploiting Environment Semantics

no code implementations22 Jul 2021 Wenjie Liu, Junting Chen

This paper constructs a full dimensional (6D) radio map to predict the channel gain between any transmitter location and any receiver location based on received signal strength (RSS) measurements between low-altitude aerial nodes and ground nodes.

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

no code implementations22 Mar 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals.


Is Simple Uniform Sampling Effective for Center-Based Clustering with Outliers: When and Why?

1 code implementation28 Feb 2021 Jiawei Huang, Wenjie Liu, Hu Ding

Real-world datasets often contain outliers, and the presence of outliers can make the clustering problems to be much more challenging.


Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation

no code implementations24 Jul 2018 Shihao Sun, Lei Yang, Wenjie Liu, Ruirui Li

In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery.

Image Segmentation Segmentation +1

ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention

no code implementations SEMEVAL 2018 Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu

Semantic Evaluation (SemEval) 2018 Task 12 {``}The Argument Reasoning Comprehension{''} committed to research natural language reasoning.

Information Retrieval Machine Translation +5

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