• Data Management for Generative AI
• Large Language Models
• Systems for Machine Learning
• Distributed Machine Learning

I commit 1 hour every week to provide guidance, suggestions, and/or mentorships for undergraduate/master/underrepresented students whoever want to apply for graduate school. Please fill in this form if you are interested.

Papers

• Soft Prompt Recovers Compressed LLMs, Transferably
  Zhaozhuo Xu^*, Zirui Liu^*, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
  In International Conference on Machine Learning (ICML 2024)
  arxiv
• Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
  Yuxin Tang^*, Erdong Hu^*, Anastasios Kyrillidis, Chris Jermaine
  In International Conference on Computer Vision (ICCV 2023)
  arxiv code video
• Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
  Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
  In International Conference on Machine Learning (ICML 2023)
  arxiv video
• Distributed Learning of Deep Neural Networks using Independent Subnet Training
  Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Christopher M. Jermaine
  In 48th International Conference on Very Large Databases (VLDB 2022)
  arxiv code video
• Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
  Zhenwei Dai^*, Chen Dun^*, Yuxin Tang^*, Anastasios Kyrillidis, Anshumali Shrivastava
  In International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML 2021)
  arxiv
• Tensor Relational Algebra for Distributed Machine Learning System Design
  Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
  In 47th International Conference on Very Large Data Bases (VLDB 2021)
  arxiv code video
• Programmable {In-Network} Security for Context-aware {BYOD} Policies
  Qiao Kang, Lei Xue, Adam Morrison, Yuxin Tang, Ang Chen, Xiapu Luo
  In 29th USENIX Conference on Security Symposium (Usenix Security 2020)
  arxiv code slides video
• A Programmable, Hardware-Assisted Network Protocol Fuzzer
  Yuxin Tang, Ang Chen
  In 13th USENIX Symposium on Operating Systems Design and Implementation (Poster@OSDI 2018)
  arxiv
• Exploring simulation of software-defined underwater wireless networks
  Li Wei, Yuxin Tang, Yuching Cao, Zhaohui Wang, Mario Gerla
  In 12th ACM International Conference on Underwater Networks & Systems (WUWNET 2017)
  arxiv

Research Experience

• Graduate Student at Intelligent Software Systems Laboratory (ISSYL) Rice, (2019 January - Now) Advisor: Chris Jermaine
• Research Intern at Visa Research (Visa Research), (2023 May - 2023 August) Mentor: Mangesh Bendre
• Research Intern at Bytedance Inc (Bytedance), (2022 May - 2022 August) Mentor: Ruoyun Huang
• Visiting Researcher at UCLA, Los Angeles, (2016 May - 2016 August) Host: Mario Gerla
• Research Assistant at Intelligent Internet Of Things, EE & CS, SJTU (2016 May - 2018 August) Advisor: Xinbing Wang
• Research Assistant at Advanced Network Laboratory, CS, SJTU (2015 - 2018 August) Advisor: Xiaofeng Gao

Service

• Reviewer in ICML 2020-2023, NeurIPS 2021-2023, ICLR 2021-2022, UAI 2022-2023, AISTATS 2022
• Reviewer in KDD 2021-2023
• Session Chair in VLDB 2023

Teaching Experience

• Teaching assistant of COMP 411 Principles of Programming Languages in Rice University (2020 Spring)

Misc

• I maintain a blog called Brain Inference. Feel free to let me know if you find any interesting idea inside.
• I love animals, including but not only limited to dogs and cats.