A5100744707- Fault Detection and Control Systems
- Control Systems and Identification
- Structural Health Monitoring Techniques
- Advanced Battery Technologies Research
- Stability and Control of Uncertain Systems
- Machine Fault Diagnosis Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Adaptive Control of Nonlinear Systems
- Control and Stability of Dynamical Systems
- Advanced Adaptive Filtering Techniques
- Natural Language Processing Techniques
- Topic Modeling
- Human Pose and Action Recognition
- Image and Signal Denoising Methods
- Cervical Cancer and HPV Research
- Remote Sensing and Land Use
- Neural dynamics and brain function
- Reliability and Maintenance Optimization
- Stability and Controllability of Differential Equations
- Epigenetics and DNA Methylation
- Advanced Control Systems Optimization
- Anomaly Detection Techniques and Applications
- Advanced Data Processing Techniques
- Cancer-related molecular mechanisms research
- Mathematical and Theoretical Epidemiology and Ecology Models
Jiangnan University
2016-2025
Johns Hopkins University
2024-2025
Liaocheng University
2023-2024
South China Agricultural University
2024
Guangxi University of Science and Technology
2024
China University of Geosciences
2023
Samsung (United States)
2020-2021
Peking Union Medical College Hospital
2020
Tsinghua University
2018
Compound Semiconductor Technologies (United Kingdom)
2018
In this article, we describe a long-non-coding RNA (lncRNA) and disease association database (LncRNADisease), which is publicly accessible at http://cmbi.bjmu.edu.cn/lncrnadisease. recent years, large number of lncRNAs have been identified increasing evidence shows that play critical roles in various biological processes. Therefore, the dysfunctions are associated with wide range diseases. It thus becomes important to understand lncRNAs’ diseases identify candidate for diagnosis, treatment...
We present a Few-Shot Relation Classification Dataset (dataset), consisting of 70, 000 sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation each sentence is first recognized distant supervision methods, then filtered adapt the most recent state-of-the-art few-shot learning methods for classification conduct thorough evaluation these methods. Empirical results show that even competitive models struggle this task, especially as compared with humans....
Haw-Shiuan Chang, Ziyun Wang, Luke Vilnis, Andrew McCallum. Proceedings of the 2018 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.
Abstract Background Despite rapid improvements in DNA methylation tools for cervical cancer screening, few robust, exploratory studies have been performed using the combination of two host genes, EPB41L3 and JAM3 , newly developed assays. Methods A review abnormal liquid-based cytology and/or high-risk human papillomavirus (hrHPV) data from outpatient clinics study center March 2018 to 2019 was performed. Eligible patients with definitive histological pathology results were included, their...
To solve the state estimation problem of nonlinear systems with unknown yet bounded noise, this study proposes an improved particle filter algorithm based on parallelotope algorithm. First, a was used to wrap errors caused by linearization, and parallelotopes state, linear error were obtained using Minkowski sum generate zonotope prediction set. Then, extended converting it into symmetric half-spaces, minimal volume bounding formed selected as feasible domain. Furthermore, domain calculated...
Abstract Plenty of research achievements on finite‐time stability discrete‐time switched systems have been reported; however, there are a few results referred to unstable subsystems. The design the average dwell time was not considered alone for subsystems in existing literature. problems and boundedness investigated respectively class nonlinear with partial modes. By using multiple Lyapunov‐like functions, sufficient conditions derived ensure that such stable bounded based an improved...
We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000 sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation each sentence is first recognized distant supervision methods, then filtered adapt the most recent state-of-the-art few-shot learning methods for classification conduct thorough evaluation these methods. Empirical results show that even competitive models struggle this task, especially as compared with humans. also...
Impulsive phenomenon and state jumps at switching instants are inevitable control difficulties in the study of stability for switched singular systems. Proportional-derivative (P-D) feedback may be an effective way to eliminate impulsive behaviors jumps. In this work, problem stabilization is studied systems continuous-time case discrete-time case. A synchronous design method P-D controllers proposed by introducing some free-weighting matrices. Based on feedback, sufficient conditions, which...
Abstract For solving the additive and multiplicative sensor faults in constrained system with unknown but bounded noise, zonotopic Kalman filter‐based fault estimator are designed, respectively. In estimation process, states of contained sets estimated by filter. The detection is carried out judging whether true value system's output within upper lower bounds its set. Once a detected system, corresponding can be used to estimate or faults, set interval obtained, Finally, comparative analyses...
Rapid learning confers significant advantages to animals in ecological environments. Despite the need for speed, appear only slowly learn associate rewarded actions with predictive cues. This slow is thought be supported by a gradual expansion of cue representation sensory cortex. However, evidence growing that more rapidly than classical performance measures suggest, challenging prevailing model cortical plasticity. Here, we investigated relationship between and representations. We trained...
This paper considers identification problems of Hammerstein finite impulse response moving average (FIR-MA) systems and presents a gradient-based iterative algorithm least-squares-based to estimate the parameters by using data filtering technique. The analysis simulation results show that has higher computational efficiency than algorithm.