publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. ICLR 2024
    Mutual reasoning makes smaller llms stronger problem-solvers
    Zhenting Qi*, Mingyuan Ma*, Jiahang Xu*, and 3 more authors
    arXiv preprint arXiv:2408.06195, 2024
  2. Preprint
    Phi-3 technical report: A highly capable language model locally on your phone
    Marah Abdin, Jyoti Aneja, Hany Awadalla, and 8 more authors
    arXiv preprint arXiv:2404.14219, 2024
  3. IEEE Vis 2024
    VisEval: A benchmark for data visualization in the era of large language models
    Nan Chen, Yuge Zhang, Jiahang Xu, and 2 more authors
    IEEE Transactions on Visualization and Computer Graphics, 2024
  4. NSDI 2024
    LitePred: Transferable and Scalable Latency Prediction for {Hardware-Aware} Neural Architecture Search
    Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, and 6 more authors
    In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), 2024
  5. Insights into Imaging
    Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease
    Junyi Yan, Xufang Luo, Jiahang Xu, and 5 more authors
    Insights into Imaging, 2024
  6. ICML 2024
    LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
    Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, and 5 more authors
    2024

2023

  1. ICCV 2023
    Spaceevo: Hardware-friendly search space design for efficient int8 inference
    Xudong Wang, Li Lyna Zhang, Jiahang Xu, and 6 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  2. ICCV 2023
    Elasticvit: Conflict-aware supernet training for deploying fast vision transformer on diverse mobile devices
    Chen Tang, Li Lyna Zhang, Huiqiang Jiang, and 6 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  3. SigKDD 2023
    Constraint-aware and ranking-distilled token pruning for efficient transformer inference
    Junyan Li, Li Lyna Zhang, Jiahang Xu, and 8 more authors
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
  4. Preprint
    Compresso: Structured pruning with collaborative prompting learns compact large language models
    Song Guo*, Jiahang Xu*, Li Lyna Zhang, and 1 more author
    arXiv preprint arXiv:2310.05015, 2023

2022

  1. Preprint
    Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
    Kaitao Song, Teng Wan, Bixia Wang, and 8 more authors
    arXiv preprint arXiv:2208.05122, 2022
  2. MedIA 2022
    Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge
    Xiahai Zhuang*, Jiahang Xu*, Xinzhe Luo, and 8 more authors
    Medical Image Analysis, 2022
  3. Front. Neurosci.
    Computer-Aided Classification Framework of Parkinsonian Disorders Using 11C-CFT PET Imaging
    Jiahang Xu*, Qian Xu*, Shihong Liu*, and 8 more authors
    Frontiers in aging neuroscience, 2022

2021

  1. Preprint
    Few-shot Learning for Cardiac Segmentation via Self-supervised Multi-task Learning
    Jiahang Xu, and Xiahai Zhuang
    2021

2019

  1. Preprint
    KLDivNet: an unsupervised neural network for multi-modality image registration
    Yechong Huang, Tao Song, Jiahang Xu, and 2 more authors
    arXiv preprint arXiv:1908.08767, 2019
  2. Front. Neurosci.
    A fully automatic framework for parkinson’s disease diagnosis by multi-modality images
    Jiahang Xu, Fangyang Jiao, Yechong Huang, and 7 more authors
    Frontiers in neuroscience, 2019
  3. Front. Neurosci.
    Diagnosis of Alzheimer’s disease via multi-modality 3D convolutional neural network
    Yechong Huang, Jiahang Xu, Yuncheng Zhou, and 3 more authors
    Frontiers in neuroscience, 2019