Yifei (Alvin) Ming

Contact: alvinming [at] cs [dot] wisc [dot] edu

I am a Ph.D. student in the Computer Sciences Department at the University of Wisconsin-Madison advised by Prof. Sharon Li. I am broadly interested in reliable machine learning that aligns with human values, especially in the era of multi-modal foundation models. A central theme that continually resonates with me is: How can we foster innovative algorithms and deeper understanding to ensure that our machine learning systems perform reliably in the real-world?

News

06/2023 Research intern at Microsoft Research working on spatial and mathematical reasoning for vision-language models.
01/2023 Our paper How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection is accepted by ICLR 2023. :tada:
10/2022 Our paper Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment is accepted by EMNLP Findings 2022. :tada:
09/2022 Two of our papers Delving into OOD Detection with Vision-Language Representations and SIREN: Shaping Representations for Detecting Out-of-distribution Objects are accepted by NeurIPS 2022. :tada:
05/2022 Start summer internship as a research scientist at Adobe Inc working on out-of-distribution robustness for multi-modal document understanding and pre-training.
More News

Publications

  1. IJCV
    How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
    Yifei Ming, and Yixuan Li
    In International Journal of Computer Vision (IJCV) 2023
    Paper
  2. ICLR
    How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
    Yifei Ming, Yiyou Sun, Ousmane Dia, and Yixuan Li
    In International Conference on Learning Representations (ICLR) 2023
    Paper
  3. NeurIPS
    Delving into OOD Detection with Vision-Language Representations
    Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, and Yixuan Li
    In Neural Information Processing Systems (NeurIPS) 2022
    Code Paper
  4. NeurIPS
    SIREN: Shaping Representations for Detecting Out-of-distribution Objects
    Xuefeng Du, Gabriel Gozum, Yifei Ming, and Yixuan Li
    In Neural Information Processing Systems (NeurIPS) 2022
    Code Paper
  5. NeurIPS
    Domain Generalization with Nuclear Norm Regularization
    Zhenmei Shi*, Yifei Ming*, Ying Fan*, Frederic Sala, and Yingyu Liang
    In Neural Information Processing Systems (NeurIPS’W) DistShift Workshop 2022
    Paper
  6. EMNLP
    Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
    Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris Papailiopoulos, and Kangwook Lee
    In Empirical Methods in Natural Language Processing (EMNLP Findings) 2022
    Code Paper
  7. ICML Oral
    POEM: Out-of-Distribution Detection with Posterior Sampling
    Yifei Ming*, Ying Fan*, and Yixuan Li
    In International Conference on Machine Learning (ICML) 2022
    Oral Presentation [Top 2%]
    Code Paper
  8. ICML
    Out-of-Distribution Detection with Deep Nearest Neighbors
    Yiyou Sun, Yifei Ming, Xiaojin Zhu, and Yixuan Li
    In International Conference on Machine Learning (ICML) 2022
    Code Paper
  9. ICML
    Are Vision Transformers Robust to Spurious Correlations?
    Soumya Suvra Ghosal, Yifei Ming, and Yixuan Li
    In International Conference on Machine Learning (ICML’W), SCIS Workshop 2022
    Paper
  10. AAAI Oral
    On the Impact of Spurious Correlation for Out-of-distribution Detection
    Yifei Ming, Hang Yin, and Yixuan Li
    In The AAAI Conference on Artificial Intelligence (AAAI) 2022
    Code Paper
  11. ICML Oral
    Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
    Ying Fan, and Yifei Ming
    In International Conference on Machine Learning (ICML) 2021
    Oral Presentation [Top 3%]
    Code Paper