Jike Zhong

I am currently an engineer with the data science team at Salesforce working on LLM applications for forecasting and planning services.

I did my bachelor's in both Computer Science and Data Analytics (Statistics) at Ohio State University from 2019-2022, during which I was very fortunately advised by Prof. Wei-Lun Chao and worked closely with Dr. Hong-You Chen. I've also spent two summers as an SWE intern with Salesforce and some wonderful time as a research intern at CCVL lab at Johns Hopkins University supervised by Bloomberg Distinguished Professor Alan Yuille.

My current research interest centers around the adaptation, robustness, and reliability of foundation models (VLM, LLM, etc). In a broader term, I'm interested in improving our society with ML, especially focusing on the problems that can be resolved using clean, reliable, and deployable learning-based solutions. With this goal, I have worked on federated learning, weakly supervised learning, and self-supervised learning during my undergrad.

Beyond research, I'm an avid aviation enthusiast and aviation has always been in the heart of my life. Check out my aviation photos taken at over 80 airports worldwide on JetPhotos and Airliners!

Feel free to reach out if you have any ideas to discuss or just wanna have a chat. I can be reached at jikezhon@usc.edu

Last update was in 04/2024

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• 2023-10: "FixBN" will appear at federated learning workshop at NeurIPS '23
• 2023-10: Our paper "Holistic Transfer" is accepted to NeurIPS 2023 main track
• 2023-06: Joined CCVL lab at JHU as a research intern
• 2023-05: Joined Salesforce as a FT data/SW engineer on LLM applications
• 2023-01: Two preprints are avaliable on ArXiv, "FedBasis" and "FixBN"
• 2022-07: Our paper "FreeSeg" is accepted to ECCV 2022

• Date: 2023-07
  Title: Semantic Representation for Scalable Visual Self-Supervised Learning
  Location: CCVL lab, Johns Hopkins University
• Date: 2023-03
  Title: Rethinking Normalization in Federated Deep Learning
  Location: Imageomics Institute

• Conference Reviewer: CVPR, ICCV
• TA: CSE 1223 and CSE 3241 @OSU

• 2022-12: 23' Salesforce CECM Hackathon Winner (1st place)
• 2021-04: 21' DataFest Winner (1st place)
• 2021-02: Engineering Honors
• 2020-05: Entrepreneurship and Innovation Scholars
• 2019-03: 19' AIME Qualifier