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Peizhong Ju, Ph.D.

    20152025

    Research activity per year

    Personal profile

    Education/Academic qualification

    Doctor of Philosophy, Purdue University

    2021

    Bachelor of Science, Peking University

    2016

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

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    Dive into the research topics where Peizhong Ju is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles

    Collaborations and top research areas from the last five years

    Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
    • BROADENING TARGET DISTRIBUTIONS FOR ACCELERATED DIFFUSION MODELS VIA A NOVEL ANALYSIS APPROACH

      Liang, Y., Ju, P., Liang, Y. & Shroff, N., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 73966-74028 63 p. (13th International Conference on Learning Representations, ICLR 2025).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      3 Scopus citations
    • FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation

      Nair, S., Lin, M., Ju, P., Talebi, A., Bentley, E. S. & Liu, J., 2025, In: Proceedings of Machine Learning Research. 267, p. 45507-45528 22 p.

      Research output: Contribution to journalConference articlepeer-review

    • HOW TO FIND THE EXACT PARETO FRONT FOR MULTIOBJECTIVE MDPS?

      Li, Y., Ju, P. & Shroff, N., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 76239-76269 31 p. (13th International Conference on Learning Representations, ICLR 2025).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization

      Xu, M., Ju, P., Liu, J. & Yang, H., Apr 11 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 20, p. 21770-21778 9 p.

      Research output: Contribution to journalConference articlepeer-review

      Open Access
      2 Scopus citations
    • THEORY ON SCORE-MISMATCHED DIFFUSION MODELS AND ZERO-SHOT CONDITIONAL SAMPLERS

      Liang, Y., Ju, P., Liang, Y. & Shroff, N., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 62908-62969 62 p. (13th International Conference on Learning Representations, ICLR 2025).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review