Shuai Li

First Affiliated Hospital Zhejiang University

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Qingxi Hu

Institute of High Energy Physics

Jian Zhang

Shanghai Jiao Tong University

Jinwu Wang

Shanghai Ninth People's Hospital

Haojin Zhu

Shanghai Jiao Tong University

Yihao Liu

Shanghai Jiao Tong University

Lei Qiang

Second Affiliated Hospital of Nanjing Medical University

Yuanyuan Liu

Shanghai University

Zhaoyu Gao

University of International Business and Economics

Kankai Chen

Shanghai Sixth People's Hospital

Xinping Guan

Shanghai Jiao Tong University

Cooperative Institutions

Shanghai Jiao Tong University

194

Chinese Academy of Sciences

117

University of Chinese Academy of Sciences

Zhejiang University

Shanghai Ninth People's Hospital

Fudan University

Peking University

Huazhong University of Science and Technology

Central South University

Chinese Academy of Medical Sciences & Peking Union Medical College

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Shape-controlled CuCl crystallite catalysts for aniline coupling

Nano Research (2010)

Ting Xie Ming Gong Zhiqiang Niu Shuai Li Xiaoyu Yan

The catalytic activity of crystallites depends mainly upon the arrangement of surface atoms, the number of dangling bonds, and defect site distribution on different crystal planes. Here, we report the shape-controlled synthesis of CuCl crystallites, including tetrahedra, face-centered-etched tetrahedra, tripod dendrites, and tetrapods. These different morphologies of CuCl crystallites expose different proportions of {111} and {110} crystal planes, and materials with a preponderance of {111} crystal planes have better catalytic activity in aniline coupling than those with more {110} planes.

Tetrahedron

Dangling bond

Crystal (programming language)

Tripod (photography)

10.1007/s12274-010-1020-6

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Citations (27)

Direct-write and sacrifice-based techniques for vasculatures

Materials Science and Engineering C (2019)

Shuai Li Kan Wang Qingxi Hu Chuck Zhang Ben Wang

10.1016/j.msec.2019.109936

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Citations (18)

Recent advances in 3D printing sacrificial templates for fabricating engineered vasculature

MedComm – Biomaterials and Applications (2023)

Shuai Li Hangyu Li Xiushuai Shang Jiayan He Yihe Hu

Abstract Fabricating engineered vasculature within biological scaffolds is one of the most common strategies to maintain high cell viability before implantation. Many studies have been conducted from the aspects of the manufacturing process, materials science, and cell biology to fabricate engineered vasculature with the aim of enhancing the integration between scaffold and host. Among them, the method of combining three‐dimensional (3D) printing and sacrifice‐based technique has attracted extensive attention. Taking advantage of 3D printing, the method of separating the printed sacrificial template from the biological scaffold to form a 3D channel has become a widely used approach to advance the engineered vasculature. With the development of 3D printing techniques and material science, numerous sacrificial materials have shown their potential in fabricating engineered vasculature. However, several issues remain in this multimethod design, including, but not limited to, the printing process, removal method of sacrificial material, and cell seeding method. This review aims to summarize recent strategies for 3D printing sacrificial templates for fabricating engineered vasculature. The pros and cons of sacrificial materials used in these studies are analyzed. Future perspectives are proposed to fabricate biomimetic‐engineered vasculature. Flexible fabrication processes and materials should be advanced to support the 3D printing of sacrificial templates.

Template

3d printed

10.1002/mba2.46

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Citations (13)

Development of Long Coil Dynamic Magnetic Field Measurement System for Dipole Magnets of HEPS Booster

12th International Particle Accelerator Conference (IPAC'21), Campinas, SP, Brazil, 24-28 May 2021 (2021)

Yiqin Liu Changdong Deng Wen Kang Li Li Shuai Li

Booster (rocketry)

10.18429/jacow-ipac2021-tupab370

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Bio-Electrospraying of Human Umbilical Vein Endothelial Cells with a Customized Multi-Hole Spinneret

Key engineering materials (2016)

Ting Zhang Yuan Yuan Liu Hong Chen Yu Shuai Li Hai Ping Chen

Bio-electrospraying (BES) is becoming an attractive tool for the delivery of cells into scaffolds for tissue engineering applications. In this study, we aimed to electrospray human umbilical vein endothelial cells (HUVECs) and improve the efficiency of BES by designing a new customized multi-hole spinneret. We demonstrated that the multi-hole spinneret could produce continuous and stable jets during BES, and the efficiency was increased by 5–7 times. Morphological observations, trypan blue and sulforhodamine B assays revealed that the HUVECs electrosprayed using the multi-hole spinneret remained viable and proliferated at a rate similar to that of the controls. Thus, the new multi-hole nozzle can considerably improve output for BES without affecting cell morphology, viability, and proliferation.

Sulforhodamine B

Trypan blue

10.4028/www.scientific.net/kem.705.291

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Citations (3)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Zhehao Zhang Tong Yu Handong Zhao Kaige Xie Lina Yao

Few-shot continual learning (FSCL) is a challenging setting as it requires models to learn new knowledge with a few examples over time, and fast adapt to new tasks without forgetting previous knowledge. Prompt-tuning, as an efficient learning approach for language models, has shown competitive performance in data-efficient learning for various NLP tasks, motivating us to explore how to effectively perform prompt-tuning in FSCL for text classification. In this work, we focus on studying prompt-tuning for continual classification, aiming to alleviate catastrophic forgetting and improve knowledge transfer with few-shot data in FSCL. After carefully analyzing the limited representation capability of existing soft-prompt initialization methods, we propose Task-Aware Initialization (TAI), a novel initialization approach that can combine the information from both context and label space. Extensive experiments with different language models including recent instruction-finetuned LLM in two FSCL settings (shot-invariant and shot-variant) demonstrate the superiority of TAI over current approaches.

Initialization

One shot

10.1109/icassp48485.2024.10448063

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Citations (2)

Comparison-based Conversational Recommender System with Relative Bandit Feedback

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)

Zhihui Xie Tong Yu Canzhe Zhao Shuai Li

With the recent advances of conversational recommendations, the recommender system is able to actively and dynamically elicit user preference via conversational interactions. To achieve this, the system periodically queries users' preference on attributes and collects their feedback. However, most existing conversational recommender systems only enable the user to provide absolute feedback to the attributes. In practice, the absolute feedback is usually limited, as the users tend to provide biased feedback when expressing the preference. Instead, the user is often more inclined to express comparative preferences, since user preferences are inherently relative. To enable users to provide comparative preferences during conversational interactions, we propose a novel comparison-based conversational recommender system. The relative feedback, though more practical, is not easy to be incorporated since its feedback scale is always mismatched with users' absolute preferences. With effectively collecting and understanding the relative feedback from an interactive manner, we further propose a new bandit algorithm, which we call RelativeConUCB. The experiments on both synthetic and real-world datasets validate the advantage of our proposed method, compared to the existing bandit algorithms in the conversational recommender systems.

10.1145/3404835.3462920

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Citations (29)

Investigation of tear strength of an airship envelope fabric by theoretical method and uniaxial tear test

Journal of Engineered Fibers and Fabrics (2019)

Yonglin Chen Shuai Li Kai Ding Fengxin Wang FU Gong-yi

This article proposed a new convenient method to obtain tear strength of an airship envelope fabric, which is a laminated plain weave fabric with the ultra-high molecular weight polyethylene fibers. First, a modified formula based on Maekawa’s empirical formula was derived. Uniaxial tear tests were then conducted on three series of single-edge notched specimens with varying widths and their critical tear stresses were measured. The experimental result showed that critical tear stress decreases with the reduction of specimen width when initial crack length is fixed. Afterward, the tear stresses of the fabric were simulated by Maekawa’s empirical formula, the modified formula, and Thiele formula. By comparing the theoretical results with the experimental results, the modified formula was verified to be consistent well with the test data. Finally, an equation was derived, which shows tear strength of this fabric decreases as initial crack length increases. For instance, when the initial crack length is 31.75 mm, the tear strength is only 44.52% of the tensile strength.

Envelope (radar)

Tear resistance

Uniaxial tension

Breaking strength

10.1177/1558925019879295

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Citations (18)

Security and privacy of collaborative spectrum sensing in cognitive radio networks

IEEE Wireless Communications (2012)

Zhaoyu Gao Haojin Zhu Shuai Li Suguo Du Xu Li

Collaborative spectrum sensing is regarded as a promising approach to significantly improve the performance of spectrum sensing in cognitive radio networks. However, due to the open nature of wireless communications and the increasingly available software defined radio platforms, collaborative spectrum sensing also poses many new research challenges, especially in the aspect of security and privacy. In this article, we first identify the potential security threats toward collaborative spectrum sensing in CRNs. Then we review the existing proposals related to secure collaborative spectrum sensing. Furthermore, we identify several new location privacy related attacks in collaborative sensing, which are expected to compromise secondary users' location privacy by correlating their sensing reports and their physical location. To thwart these attacks, we propose a novel privacy preserving framework in collaborative spectrum sensing to prevent location privacy leaking. We design and implement a real-world testbed to evaluate the system performance. The attack experiment results show that if there is no any security guarantee, the attackers could successfully compromise a secondary user's location privacy at a success rate of more than 90 percent. We also show that the proposed privacy preserving framework could significantly improve the location privacy of secondary users with a minimal effect on the performance of collaborative sensing.

Testbed

Compromise

10.1109/mwc.2012.6393525

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Citations (104)

YouSense: Mitigating Entropy Selfishness in Distributed Collaborative Spectrum Sensing

arXiv (Cornell University) (2011)

Shuai Li Haojin Zhu Zhaoyu Gao Xinping Guan Kai Xing

Collaborative spectrum sensing has been recognized as a promising approach to improve the sensing performance via exploiting the spatial diversity of the secondary users. In this study, a new selfishness issue is identified, that selfish users sense no spectrum in collaborative sensing. For easier presentation, it's denoted as entropy selfishness. This selfish behavior is difficult to distinguish, making existing detection based incentive schemes fail to work. To thwart entropy selfishness in distributed collaborative sensing, we propose YouSense, a One-Time Pad (OTP) based incentive design that could naturally isolate entropy selfish users from the honest users without selfish node detection. The basic idea of YouSense is to construct a trapdoor one-time pad for each sensing report by combining the original report and a random key. Such a one-time pad based encryption could prevent entropy selfish users from accessing the original sensing report while enabling the honest users to recover the report. Different from traditional cryptography based OTP which requires the key delivery, YouSense allows an honest user to recover the pad (or key) by exploiting a unique characteristic of collaborative sensing that different secondary users share some common observations on the same radio spectrum. We further extend YouSense to improve the recovery successful rate by reducing the cardinality of set of the possible pads. By extensive USRP based experiments, we show that YouSense can successfully thwart entropy selfishness with low system overhead.

Selfishness

10.48550/arxiv.1111.5080

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