Search Results - "Ma, Xiyao"

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  1. 1

    Statistical learning for semantic parsing: A survey by Zhu, Qile, Ma, Xiyao, Li, Xiaolin

    Published in Big Data Mining and Analytics (01-12-2019)
    “…A long-term goal of Artificial Intelligence (AI) is to provide machines with the capability of understanding natural language. Understanding natural language…”
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    Journal Article
  2. 2

    FROST: Fallback Voice Apps Recommendation for Unhandled Voice Commands in Intelligent Personal Assistants by Hu, Qian, Mohamed, Thahir, Xiao, Wei, Ma, Xiyao, Gao, Xibin, Gao, Zheng, Arava, Radhika, AbdelHady, Mohamed

    Published in Frontiers in big data (25-04-2022)
    “…Intelligent personal assistants (IPAs) such as Amazon Alexa, Google Assistant and Apple Siri extend their built-in capabilities by supporting voice apps…”
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    Journal Article
  3. 3

    Initial experience in the treatment of lower extremity arterial occlusive disease using a universal vascular interventional surgery robotic system by Dai, Huanyu, Lai, Zhichao, Liu, Shiqi, Shao, Jiang, Li, Kang, Wang, Chaonan, Kong, Deqiang, Xie, Xiaoliang, Zhou, Xiaohu, Feng, Zhenqiu, Ma, Xiyao, Liu, Bao, Hou, Zengguang

    Published in Intelligent Surgery (2023)
    “…Background: This study aims to report the treatment process and results of the first officially published robotic peripheral vascular interventional surgery…”
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    Journal Article
  4. 4

    Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning by Yuan, Xiaoyong, Ma, Xiyao, Zhang, Lan, Fang, Yuguang, Wu, Dapeng

    Published in IEEE internet of things journal (15-02-2022)
    “…Federated learning (FL) enables multiple clients to collaboratively build a global learning model without sharing their own raw data for privacy protection…”
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    Journal Article
  5. 5

    Communication-Efficient and Attack-Resistant Federated Edge Learning With Dataset Distillation by Zhou, Yanlin, Ma, Xiyao, Wu, Dapeng, Li, Xiaolin

    Published in IEEE transactions on cloud computing (01-07-2023)
    “…Federated Edge Learning considers a large amount of distributed edge nodes collectively train a global gradient-based model for edge computing in the…”
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    Journal Article
  6. 6

    SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels by Zhang, Bo, Lai, Zhichao, Liu, Shiqi, Xie, Xiaoliang, Zhou, Xiaohu, Hou, Zengguang, Ma, Xiyao, Liu, Bao, Li, Kang, Song, Meng

    Published in Biomedical signal processing and control (01-02-2025)
    “…Accurate preoperative measurement of abdominal aortic aneurysms (AAAs) and associated vascular structures is indispensable for surgical planning. However, the…”
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    Journal Article
  7. 7

    Contrastive Knowledge Graph Attention Network for Request-Based Recipe Recommendation by Ma, Xiyao, Gao, Zheng, Hu, Qian, Abdelhady, Mohamed

    “…To improve daily customer experience, kitchen assistant becomes one of the enabled service in intelligent voice assistants, presenting personalized and…”
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    Conference Proceeding
  8. 8

    Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning by Zhou, Yanlin, Lu, Fan, Pu, George, Ma, Xiyao, Sun, Runhan, Chen, Hsi-Yuan, Li, Xiaolin

    “…We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating…”
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    Conference Proceeding
  9. 9

    Contrastive Co-training for Diversified Recommendation by Ma, Xiyao, Hu, Qian, Gao, Zheng, AbdelHady, Mohamed

    “…Beyond accuracy, diversity has become a crucial factor to evaluate a recommendation system as higher diversity helps mitigate echo chamber issue and improve…”
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    Conference Proceeding
  10. 10

    HCL: Hybrid Contrastive Learning for Graph-based Recommendation by Ma, Xiyao, Gao, Zheng, Hu, Qian, AbdelHady, Mohamed

    “…Graph-based collaborative filtering for recommendation has attracted great attention recently, due to its effectiveness of capturing high-order proximity among…”
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    Conference Proceeding
  11. 11

    MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning by Li, Yichuan, Ma, Xiyao, Lu, Sixing, Lee, Kyumin, Liu, Xiaohu, Guo, Chenlei

    Published 11-03-2024
    “…Large Language models (LLMs) have demonstrated impressive in-context learning (ICL) capabilities, where a LLM makes predictions for a given test input together…”
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    Journal Article
  12. 12

    Distilled One-Shot Federated Learning by Zhou, Yanlin, Pu, George, Ma, Xiyao, Li, Xiaolin, Wu, Dapeng

    Published 16-09-2020
    “…Current federated learning algorithms take tens of communication rounds transmitting unwieldy model weights under ideal circumstances and hundreds when data is…”
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    Journal Article
  13. 13

    Asking Complex Questions with Multi-hop Answer-focused Reasoning by Ma, Xiyao, Zhu, Qile, Zhou, Yanlin, Li, Xiaolin, Wu, Dapeng

    Published 15-09-2020
    “…Asking questions from natural language text has attracted increasing attention recently, and several schemes have been proposed with promising results by…”
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    Journal Article
  14. 14

    Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring by Ma, Xiyao, Zhu, Qile, Zhou, Yanlin, Li, Xiaolin, Wu, Dapeng

    Published 02-12-2019
    “…Taking an answer and its context as input, sequence-to-sequence models have made considerable progress on question generation. However, we observe that these…”
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    Journal Article
  15. 15

    A Batch Normalized Inference Network Keeps the KL Vanishing Away by Zhu, Qile, Su, Jianlin, Bi, Wei, Liu, Xiaojiang, Ma, Xiyao, Li, Xiaolin, Wu, Dapeng

    Published 27-04-2020
    “…Variational Autoencoder (VAE) is widely used as a generative model to approximate a model's posterior on latent variables by combining the amortized…”
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    Journal Article
  16. 16

    Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning by Zhou, Yanlin, Lu, Fan, Pu, George, Ma, Xiyao, Sun, Runhan, Chen, Hsi-Yuan, Li, Xiaolin, Wu, Dapeng

    Published 15-11-2019
    “…IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) We propose a deep reinforcement learning (DRL) methodology for the tracking,…”
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    Journal Article