Yichen Li

Tianjin University of Science and Technology

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Wenbin Yu

Shanghai Jiao Tong University

Kai Wang

Zhengzhou University

Xinping Guan

Shanghai Jiao Tong University

Min Qin

Southwest University of Science and Technology

Gang Liu

Southeast University

Gang Wang

University of Alabama in Huntsville

Jinge Gu

Shanghai Institute of Organic Chemistry

Cong Liu

Shanghai Institute of Organic Chemistry

Dan Li

Shanghai Jiao Tong University

Ali Khademhosseini

University of California, Los Angeles

Cooperative Institutions

Fermi National Accelerator Laboratory

284

European Organization for Nuclear Research

146

Istituto Nazionale di Fisica Nucleare

117

Centre National de la Recherche Scientifique

116

Brookhaven National Laboratory

110

Colorado State University

University of Chicago

University of California, Irvine

University of Cincinnati

Institut National de Physique Nucléaire et de Physique des Particules

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Mid-long term load forecasting based on GM(1,N)-BP neural network model

IET conference proceedings. (2022)

Lei Zhang Wei Liu Jianfeng Zhou Kang Wang Yichen Li

Mid-long term load forecasting is the important foundation of power system planning and operation. In the economic transitional stage, it is difficult to guarantee the prediction accuracy under the influence of the strong volatility of various loads. Accordingly, the gray prediction model of GM (1,N) is established by using the correlation degree of the multidimensional variables that affect the power load. Combined with BP neural network theory, residuals of loads are used for state division of BP neural network process and the load trend in the aimed planning year is predicted. Finally, the effectiveness and feasibility of the proposed method are verified by predicting load trend over the next five years in China's a certain regional power network as computational examples system.

Gray (unit)

Predictive power

10.1049/icp.2022.2172

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Sand Particle Monitoring for the High-Production Gas Well Based on EMD-CNN Method

Lecture notes in civil engineering (2024)

Kai Wang Ziang Chang Jiaqi Lu Jiaqi Tian Kui Yang

Particle (ecology)

10.1007/978-981-97-1309-7_9

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Liquid-liquid phase separation of RBGD2/4 is required for heat stress resistance in Arabidopsis

Developmental Cell (2022)

Shaobo Zhu Jinge Gu Juanjuan Yao Yichen Li Zheting Zhang

Stress granule

10.1016/j.devcel.2022.02.005

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Citations (84)

Category-Level Multi-Part Multi-Joint 3D Shape Assembly

arXiv (Cornell University) (2023)

Yichen Li Kaichun Mo Yueqi Duan He Wang Jiequan Zhang

Shape assembly composes complex shapes geometries by arranging simple part geometries and has wide applications in autonomous robotic assembly and CAD modeling. Existing works focus on geometry reasoning and neglect the actual physical assembly process of matching and fitting joints, which are the contact surfaces connecting different parts. In this paper, we consider contacting joints for the task of multi-part assembly. A successful joint-optimized assembly needs to satisfy the bilateral objectives of shape structure and joint alignment. We propose a hierarchical graph learning approach composed of two levels of graph representation learning. The part graph takes part geometries as input to build the desired shape structure. The joint-level graph uses part joints information and focuses on matching and aligning joints. The two kinds of information are combined to achieve the bilateral objectives. Extensive experiments demonstrate that our method outperforms previous methods, achieving better shape structure and higher joint alignment accuracy.

Representation

10.48550/arxiv.2303.06163

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Design and research of fire early warning system based on topological structure for forest

Jianfeng Wang Yichen Li Panfeng Chen Ma Jiwei Lun Cuifen

To improve the flexibility and capability-price ratio, an approach for designing the forest fire early warning system was first proposed. In this system, the wireless communication methods combined with wired one based on topological structure was adopted. Second, we discussed and introduced the characteristics of structure, working principle and design method of the system in detail. Finally, a large number of simulated experiments were done. And the experimental results showed that the proposed system was outstanding among others with the advantages of stability, reliability and low power consumption.

10.1109/iwaci.2010.5585125

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Identification and characterization of solids in sand-water two-phase flows via vibration multi-sensor approaches

Advanced Powder Technology (2019)

Kai Wang Gang Liu Yichen Li Jinbang Wang Gang Wang

Particle (ecology)

SIGNAL (programming language)

10.1016/j.apt.2019.07.004

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Citations (14)

Autologous erythrocytes delivery of berberine hydrochloride with long-acting effect for hypolipidemia treatment

Drug Delivery (2020)

Zhongyao Cheng Siyu Liu Xinyi Wu Faisal Raza Yichen Li

Discovery of novel pharmacological effects of berberine hydrochloride (BH) has made its clinical application valuable. However, further development and applications of BH are hampered by its short half-life and the side effects associated with its intravenous (iv) injection. To improve the hypolipidemia efficacy and reduce side effects, we encapsulated BH into biocompatible red blood cells (RBCs) to explore its sustained-release effect by hypotonic pre-swelling method. From in vitro evaluation, BH loaded RBCs (BH-RBCs) presented similar morphology and osmotic fragility to native RBCs (NRBCs). After the loading process, the BH-RBCs maintained around 69% of Na+/K+-ATPase activity of NRBCs and phosphatidylserine externalization value of BH-RBCs was about 26.1 ± 2.9%. The survival test showed that the loaded cells could circulate in plasma for over 9 d. For in vivo evaluation, a series of tests including pharmacokinetics study and hypolipidemic effect were carried out to examine the long-acting effect of BH-RBCs. The results showed that the release of BH in the loaded cells could last for about 5 d and the hypolipidemic effect can still be observed on 5 d after injection. BH-loaded autologous erythrocytes seem to be a promising sustained releasing delivery system with long hypolipidemic effect.

Erythrocyte fragility

10.1080/10717544.2020.1716880

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Citations (27)

A framework of cloud-based collaborative platform to integrate product design requests and contradiction analysis

Tien-Lun Liu Yichen Li Mingliang Li

In this research, we consider the deficiencies of current e-collaboration design systems that are introduced to enterprises, and then concentrate on how to express the essential requirements for product design. The authors propose a systematic process model to support collaborative product development (CPD). The required multi-disciplinary information for CPD will be handled via the processes of classification, transformation, and analysis to assist the product development. We first apply DFX (Design for X) concepts to catch the team members' intentions and then combine the 39 design parameters from TRIZ to construct a four-level structural classification scheme for design information, including design intentions, design requirements, design parameters and engineering parameters. An interactive cloud-based platform for bike-design is planned to implement our model. This platform plays a role to integrate the product requests proposed by each department on the design chain, and help resolve design contradictions. The benefits of collaborative design can then be effectively fulfilled.

Collaborative engineering

Design process

10.1109/icamse.2016.7840175

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Multi-Platform Electric Vehicle Detection System in Elevators

Frontiers in Computing and Intelligent Systems (2024)

Yichen Li Meina Zhang Jiayu Wang Yuxuan Liu Yutong Xing

This project addresses elevator safety by proposing a solution based on an improved lightweight YOLOv3 model. The system is trained on a custom-built dataset of electric vehicles inside elevators, achieving efficient and accurate object detection suitable for edge computing environments. It demonstrates excellent performance through transfer learning and comparative experiments. The user interface, developed with PyQt5 and Streamlit, supports image, video, and real-time detection, along with result-saving capabilities. Tests on elevator videos show outstanding accuracy and practicality, making this solution highly applicable to smart elevators and public safety management.

Elevator

10.54097/2d8v6c75

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Yeast polysaccharides: The environmentally friendly polysaccharides with broad application potentials

Comprehensive Reviews in Food Science and Food Safety (2024)

Wenjing Dong Yichen Li Shanjiang Xue Fengge Wen Demei Meng

Abstract Yeast cell wall (YCW) polysaccharides, including β‐glucans, mannans, chitins, and glycogens, can be extracted from the waste of beer industry. They are environmentally friendly, abundant, inexpensive raw materials, and have shown broad biological activities and application potentials. The exploitation of yeast polysaccharides is of great importance for environmental protection and resource utilization. This paper reviews the structural features and preparation of YCW polysaccharides. The solubility and emulsification of yeast polysaccharides and the properties of binding metal ions are presented. In addition, biological activities such as blood glucose and lipid lowering, immune regulation, antioxidant, promotion of intestinal health, and promotion of wound healing are proposed, highlighting the beneficial effects of yeast polysaccharides on human health. Through modification, the physical and chemical properties of yeast polysaccharides are changed, which emphasizes the promotion of their biological activities and properties. In addition, the food applications of yeast polysaccharides, including the food packaging film, emulsifier, thickening agent, and fat alternatives, are focused and discussed.

Environmentally Friendly

Beta-glucan

10.1111/1541-4337.70003

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