Search Results - "Lu, Qiujing"

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  1. 1

    Timing of umbilical cord clamping and neonatal jaundice in singleton term pregnancy by Qian, Yiyu, Lu, Qiujing, Shao, Hailing, Ying, Xinxin, Huang, Wenle, Hua, Ying

    Published in Early human development (01-03-2020)
    “…Delayed cord clamping was not adopted widely in China because of the potential effect of neonatal hyperbilirubinemia, jaundice and polycythemia, and the…”
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    Journal Article
  2. 2

    Decoding of human identity by computer vision and neuronal vision by Zhang, Yipeng, Aghajan, Zahra M., Ison, Matias, Lu, Qiujing, Tang, Hanlin, Kalender, Guldamla, Monsoor, Tonmoy, Zheng, Jie, Kreiman, Gabriel, Roychowdhury, Vwani, Fried, Itzhak

    Published in Scientific reports (12-01-2023)
    “…Extracting meaning from a dynamic and variable flow of incoming information is a major goal of both natural and artificial intelligence. Computer vision (CV)…”
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    Journal Article
  3. 3

    Effects of delayed cord clamping on neonatal jaundice, phototherapy and early hematological status in term cesarean section by Shao, Hailing, Gao, Shichu, Lu, Qiujing, Zhao, Xiaomin, Hua, Ying, Wang, Xiaomei

    Published in Italian journal of pediatrics (26-05-2021)
    “…Background Delayed cord clamping in full-term neonates is widely recommended, while in practice, it is rarely implemented in cesarean section due to the fear…”
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    Journal Article
  4. 4

    Diverse Imitation Learning via Self-Organizing Generative Models by Vahabpour, Arash, Wang, Tianyi, Lu, Qiujing, Pooladzandi, Omead, Roychowdhury, Vwani

    “…Imitation learning (IL) is a well-known problem in the field of Markov decision process (MDP), where one is given multiple demonstration trajectories generated…”
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    Journal Article
  5. 5

    Real-World High-Dimensional Data with Multimodal Distributions: Mode Discovery and Mode-Preserving Generative Models by Lu, Qiujing

    Published 01-01-2022
    “…Recent advances in Artificial Intelligence (AI) have demonstrated extraordinary performances in tasks relating to our daily life activities. However, the…”
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    Dissertation
  6. 6

    Differential effects of delayed cord clamping on bilirubin levels in normal and diabetic pregnancies by Pan, Shuangjia, Lu, Qiujing, Lan, Yehui, Peng, Lingli, Yu, Xiaohong, Hua, Ying

    Published in European journal of pediatrics (01-08-2022)
    “…The purpose of the study is to investigate the effects of delayed cord clamping on bilirubin levels and phototherapy rates in neonates of diabetic mothers…”
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    Journal Article
  7. 7

    Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy by Monsoor, Tonmoy, Zhang, Yipeng, Daida, Atsuro, Oana, Shingo, Lu, Qiujing, Hussain, Shaun A., Fallah, Aria, Sankar, Raman, Staba, Richard J., Speier, William, Roychowdhury, Vwani, Nariai, Hiroki

    Published in Clinical neurophysiology (01-10-2023)
    “…•High frequency oscillations (HFOs) detected by the MNI detector showed different traits and higher pathological bias than those detected by the STE…”
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    Journal Article
  8. 8

    Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach by Zhang, Yipeng, Lu, Qiujing, Monsoor, Tonmoy, Hussain, Shaun A., Qiao, Joe X., Salamon, Noriko, Fallah, Aria, Sim, Myung Shin, Asano, Eishi, Sankar, Raman, Staba, Richard J., Engel, Jerome, Speier, William, Roychowdhury, Vwani, Nariai, Hiroki

    Published in Brain communications (2022)
    “…Abstract Intracranially recorded interictal high-frequency oscillations have been proposed as a promising spatial biomarker of the epileptogenic zone. However,…”
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    Journal Article
  9. 9

    Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles by Lu, Qiujing, Wang, Xuanhan, Jiang, Yiwei, Zhao, Guangming, Ma, Mingyue, Feng, Shuo

    Published 10-09-2024
    “…The generation of corner cases has become increasingly crucial for efficiently testing autonomous vehicles prior to road deployment. However, existing methods…”
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    Journal Article
  10. 10

    Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems by Bai, Ruoxuan, Yang, Jingxuan, Gong, Weiduo, Zhang, Yi, Lu, Qiujing, Feng, Shuo

    “…Intelligent systems are increasingly integral to our daily lives, yet rare safety-critical events present significant latent threats to their practical…”
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    Conference Proceeding
  11. 11

    Action-conditioned On-demand Motion Generation by Lu, Qiujing, Zhang, Yipeng, Lu, Mingjian, Roychowdhury, Vwani

    Published 17-07-2022
    “…We propose a novel framework, On-Demand MOtion Generation (ODMO), for generating realistic and diverse long-term 3D human motion sequences conditioned only on…”
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    Journal Article
  12. 12

    Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems by Bai, Ruoxuan, Yang, Jingxuan, Gong, Weiduo, Zhang, Yi, Lu, Qiujing, Feng, Shuo

    Published 20-03-2024
    “…Intelligent systems are increasingly integral to our daily lives, yet rare safety-critical events present significant latent threats to their practical…”
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    Journal Article
  13. 13

    Diverse Imitation Learning via Self-Organizing Generative Models by Vahabpour, Arash, Wang, Tianyi, Lu, Qiujing, Pooladzandi, Omead, Roychowdhury, Vwani

    Published 06-05-2022
    “…Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function. This task becomes particularly…”
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    Journal Article
  14. 14

    KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction by Lu, Qiujing, Han, Weiqiao, Ling, Jeffrey, Wang, Minfa, Chen, Haoyu, Varadarajan, Balakrishnan, Covington, Paul

    “…Predicting future trajectories of road agents is a critical task for autonomous driving. Recent goal-based trajectory prediction methods, such as DenseTNT and…”
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    Conference Proceeding
  15. 15

    KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction by Lu, Qiujing, Han, Weiqiao, Ling, Jeffrey, Wang, Minfa, Chen, Haoyu, Varadarajan, Balakrishnan, Covington, Paul

    Published 09-05-2022
    “…Predicting future trajectories of road agents is a critical task for autonomous driving. Recent goal-based trajectory prediction methods, such as DenseTNT and…”
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    Journal Article
  16. 16

    Fusing Visual and Textual Information to Determine Content Safety by Leonardo, Rodrigo, Hu, Amber, Uzair, Mohammad, Lu, Qiujing, Fu, Iris, Nishiyama, Keishin, Mangalath Subrahmannian, Sooraj, Ravichandran, Divyaa

    “…In advertising, identifying the content safety of web pages is a significant concern since advertisers do not want brands to be associated with threatening…”
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    Conference Proceeding