Haocheng Dai, Ph.D.


vitae / github / youtube / flickr / instagram

i am an applied scientist at amazon science working on rufus, the next generation llm-based conversational shopping assistant.

i received my phd degree in computer science from the university of utah 🏜️ β€” the birthplace of computer graphics 🐰 and world's first packet-switched network (arpanet) 🌐. i was fortunate to be mentored by dr. sarang joshi with affiliations to the sci institute and kahlert school of computing. i also work closely with researchers from fsu, ucla, uva, and yale.

before i joined the u, i received my bachelor of engineering degree in computer science from tongji university and have studied at israel institute of technology ✑️ and institut de mathΓ©matiques de toulouse πŸ₯ as an exchange student, focusing on image analysis and riemannian geometry, respectively.

my interest lies in developing specialized and trustworthy machine learning tools tailored for computer vision problems in πŸ§‘β€βš•οΈ healthcare settings, so as to improve medical treatment, diagnosis and understanding of the disease. my research extends to, but is not limited to:

πŸ‘¨β€βš–οΈ trustworthy machine learning (fairness and robustness);
πŸ“ geometric deep learning and shape modeling;
πŸ‘οΈ multimodal learning and vision language models;
πŸ”­ physics-informed machine learning.



publications & preprints


Refining Skewed Perceptions in Vision-Language Models through Visual Representations.
  • Haocheng Dai, Sarang Joshi.
  • Preprint, 2024
  • πŸ‘¨β€βš–οΈπŸ‘οΈ / Paper / Code /Citation

pmb



High-Fidelity CT on Rails-Based Characterization of Delivered Dose Variation in Conformal Head and Neck Treatments.
  • Haocheng Dai, Vikren Sarkar, Christian Dial, Markus Foote, Ying Hitchcock, Sarang Joshi, Bill Salter.
  • Applied Radiation Oncology (ARO), 2023
  • πŸ‘¨β€βš–οΈπŸ§‘β€βš•οΈ / Paper / Code / Slides / Citation

pmb



Detect AI-generated Images Uploaded for Risk Evidence Collection in CSSW.
  • Haocheng Dai, Siwei Chen, Bei Xiao, Yangho Chen.
  • Amazon Machine Learning Conference (AMLC), 2023
  • πŸ‘¨β€βš–οΈπŸ‘οΈ / Paper / Citation

ipmi



Neural Operator Learning for Ultrasound Tomography Inversion.
  • Haocheng Dai*, Michael Penwarden*, Mike Kirby, Sarang Joshi. (*equal contribution)
  • International Conference on Medical Imaging with Deep Learning (MIDL), 2023
  • πŸ§‘β€βš•οΈπŸ”­ / Paper / Code / Slides / Poster / Citation

midl



Modeling the Shape of the Brain Connectome via Deep Neural Networks.
  • Haocheng Dai, Martin Bauer, Tom Fletcher, Sarang Joshi.
  • International Conference on Information Processing in Medical Imaging (IPMI), 2023
  • Oral Presentation
  • πŸ§‘β€βš•οΈπŸ“πŸ”­ / Paper / Code / Slides / YouTube / Citation / Media Coverage

ipmi



Understanding Visual Documents from Customer Self-Service Workflow using Multimodal Transformer.
  • Haocheng Dai, Jia-Kai Chou, Siwei Chen, Bei Xiao, Yangho Chen.
  • Amazon Machine Learning Conference (AMLC), 2022
  • πŸ‘οΈ / Paper / Citation

ipmi



Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics.
  • Kris Campbell, Haocheng Dai, Zhe Su, Martin Bauer, Tom Fletcher, Sarang Joshi.
  • Machine Learning for Biomedical Imaging (MELBA), 2022
  • πŸ§‘β€βš•οΈπŸ“ / Paper / Code / Citation

melba



Structural Connectome Atlas Construction in the Space of Riemannian Metrics.

ipmi



services


i have served as a reviewer for several journals and conferences, including acm mm, aistats, acm tist, cvpr, aro, iclr, icml, media, melba, miccai, midl, neurips, scientific reports, ai for differential equations in science@iclr, and wicv@eccv.



miscellaneous


i made a handful of notes for better understanding in machine learning, mathematics of imaging, metric estimation, image registration, and solving large systems of linear equations.

my erdΕ‘s number = 4:
haocheng dai -> sarang joshi -> ulf grenander -> oved shisha -> paul erdΕ‘s;
haocheng dai -> mike kirby -> frank stenger -> ambikeshwar sharma -> paul erdΕ‘s.

i am an amateur photographer, vlogger and also a loyal reader of πŸ“° newspapers, you can find the highlight front pages of the new york times i collect by the years of 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023; the highlight front pages of the washington post I collect before 2015, 2016 - 2020, and 2021 - 2024.



footprints


ipmi