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  1. No Access

    Article

    Study on material erosion mechanism of ultrasonic vibration-assisted micro-EDM based on heat-flow coupling analysis

    Ultrasonic vibration-assisted micro-EDM can improve the machinability of difficult to machine materials such as titanium alloy and superalloy. To explore the influence mechanism of ultrasonic vibration on mate...

    Shaojie Hou, Jicheng Bai, Huan Liu… in The International Journal of Advanced Manu… (2023)

  2. No Access

    Chapter and Conference Paper

    Approximate k-Nearest Neighbor Query over Spatial Data Federation

    Approximate nearest neighbor query is a fundamental spatial query widely applied in many real-world applications. In the big data era, there is an increasing demand to scale these queries over a spatial data f...

    Kaining Zhang, Yongxin Tong, Yexuan Shi… in Database Systems for Advanced Applications (2023)

  3. No Access

    Article

    Improving performance of micro-hole EDM based on frequency detection method

    Electrical discharge machining (EDM) mainly uses the spark discharge generated between the workpiece and the tool electrode for material erosion; however, abnormal discharge status such as arcing and short cir...

    Shaojie Hou, Jicheng Bai, Huan Liu… in The International Journal of Advanced Manu… (2022)

  4. No Access

    Article

    Breakthrough detection and servo control for micro‑hole array EDM drilling

    The micro-hole array machined by micro-electrical discharge machining (micro-EDM) has been widely used in aerospace, electronic communication, and other industrial fields. However, due to the unavoidable elect...

    Huan Liu, Jicheng Bai, Bo Zhang, Yan Cao… in The International Journal of Advanced Manu… (2022)

  5. No Access

    Chapter and Conference Paper

    Data Source Selection in Federated Learning: A Submodular Optimization Approach

    Federated learning is a new learning paradigm that jointly trains a model from multiple data sources without sharing raw data. For the practical deployment of federated learning, data source selection is compu...

    Ruisheng Zhang, Yansheng Wang, Zimu Zhou… in Database Systems for Advanced Applications (2022)

  6. No Access

    Chapter

    Efficient and Fair Data Valuation for Horizontal Federated Learning

    Availability of big data is crucial for modern machine learning applications and services. Federated learning is an emerging paradigm to unite different data owners for machine learning on massive data sets wi...

    Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song in Federated Learning (2020)

  7. No Access

    Article

    Spatial crowdsourcing: a survey

    Crowdsourcing is a computing paradigm where humans are actively involved in a computing task, especially for tasks that are intrinsically easier for humans than for computers. Spatial crowdsourcing is an incre...

    Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi in The VLDB Journal (2020)

  8. No Access

    Article

    Cholesterol transport through the peroxisome-ER membrane contacts tethered by PI(4,5)P2 and extended synaptotagmins

    Most mammalian cells take up cholesterol from low-density lipoproteins (LDLs) via receptor-mediated endocytosis. After reaching lysosomes, LDL-derived cholesterol continues to transport to downstream organelle...

    Jian **ao, Jie Luo, Ao Hu, Ting **ao, Meixin Li, Zekai Kong… in Science China Life Sciences (2019)

  9. No Access

    Chapter and Conference Paper

    Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing

    Spatial crowdsourcing emerges as a new computing paradigm with the development of mobile Internet and the ubiquity of mobile devices. The core of many real-world spatial crowdsourcing applications is to assign...

    Qian Tao, Yuxiang Zeng, Zimu Zhou… in Database Systems for Advanced Applications (2018)