no code implementations • 14 May 2024 • Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingxing Wei, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, HUI ZHANG, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, YuBo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles.
no code implementations • 9 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.
no code implementations • 19 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.
no code implementations • 2 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.
no code implementations • 2 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.
no code implementations • 1 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$(n^2 + q)$.
no code implementations • 1 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.
no code implementations • 1 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.
no code implementations • 30 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.
no code implementations • 30 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.
no code implementations • 29 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.
no code implementations • 24 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.
no code implementations • 23 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.
no code implementations • 21 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.
no code implementations • 14 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.
no code implementations • 10 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).
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.
no code implementations • 2 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.
no code implementations • 14 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.
no code implementations • 28 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.
no code implementations • 11 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).
no code implementations • 6 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.
1 code implementation • 2 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
1 code implementation • 23 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.
1 code implementation • 9 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}.
1 code implementation • 7 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.
no code implementations • 18 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.
no code implementations • 5 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.
no code implementations • 25 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.
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) +3
no code implementations • 22 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.
no code implementations • 22 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.
1 code implementation • 28 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.
no code implementations • 24 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.
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.
2 code implementations • 1 Sep 2017 • Ruirui Li, Wenjie Liu, Lei Yang, Shihao Sun, Wei Hu, Fan Zhang, Wei Li
Semantic segmentation is a fundamental research in remote sensing image processing.
no code implementations • SEMEVAL 2017 • Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu
Semantic Textual Similarity (STS) devotes to measuring the degree of equivalence in the underlying semantic of the sentence pair.