• Data Management
• Machine Learning
• Decentralized Finance

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

• EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
  Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Mahmoud Sleem, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine
  In 51th International Conference on Very Large Data bases (VLDB 2025)
  paper
• Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph
  Yuxin Tang, Mangesh Bendre, Mahashweta Das
  In IEEE International Conference on Big Data (IEEE BigData 2024)
  paper
• 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)
  paper
• 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)
  paper 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)
  paper
• 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 Data bases (VLDB 2022)
  Invited to VLDB Journal Special Issue: Best of VLDB 2022!
  paper code video
• 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)
  paper 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)
  paper 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)
  paper
• 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)
  paper

Research Experience

• Graduate Student at Intelligent Software Systems Laboratory (ISSYL) Rice (2019 January - Now)
• Research Intern at Bosch Center for Artificial Intelligence (Bosch) (2024 May - 2024 August)
• Research Intern at Visa Research (Visa Research) (2023 May - 2023 August)
• Research Intern at Bytedance Inc (Bytedance) (2022 May - 2022 August)
• CSST Summer Program at UCLA, Los Angeles (2016 May - 2016 August)
• Research Assistant at Intelligent Internet Of Things, EE & CS, SJTU (2016 May - 2018 August)
• Research Assistant at Advanced Network Laboratory, CS, SJTU (2015 - 2018 August)

Service

• Reviewers: ICML 2020-2025, NeurIPS 2021-2025, ICLR 2021-2025
• Program Committee: CGO 2023, UDM-AAAI 2023, PLDI 2023
• Session Chair: VLDB 2023, MLSys 2025
• Data to Knowledge (D2K) Fellow: Fall 2022, Fall 2023, Spring 2024

Teaching Experience

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