Yuxin Tang

Papers

• Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts

  Soumajyoti Sarkar, Yuxin Tang, Sheng Zha

  arXiv 2026

• Introducing Harbor-Index: A Compact, Diverse, Challenging, and High-Quality Benchmark for Agentic Evaluation

  Harbor Team

• Harbor: A Framework for Evaluating and Optimizing Agents and Models in Container Environments

  Harbor Team

• Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning

  ICLR 2026

• DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs

  Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding, Arlei Silva, Chris Jermaine

  ICLR 2026

• Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation

  Yuxin Tang, Zhiyuan Xin, Zhimin Ding, Xinyu Yao, Daniel Bourgeois, Tirthak Patel, Chris Jermaine

  VLDB 2026

• SEDM: Scalable Self-Evolving Distributed Memory for Agents

  Haoran Xu, Jiacong Hu, Ke Zhang, Lei Yu, Yuxin Tang, Xinyuan Song, Yiqun Duan, Lynn Ai, Bill Shi

  SEA@NeurIPS 2025

• 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

  VLDB 2025

• Soft Prompt Recovers Compressed LLMs, Transferably

  Zhaozhuo Xu^*, Zirui Liu^*, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava

  ICML 2024

• Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat

  Yuxin Tang^*, Erdong Hu^*, Anastasios Kyrillidis, Chris Jermaine

  ICCV 2023

• Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning

  Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine

  ICML 2023

• Distributed Learning of Deep Neural Networks using Independent Subnet Training

  Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine

  Invited to the VLDB Journal Special Issue: Best of VLDB 2022

  VLDB 2022

• Tensor Relational Algebra for Distributed Machine Learning System Design

  Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine

  VLDB 2021

• Programmable In-Network Security for Context-aware BYOD Policies

  Qiao Kang, Lei Xue, Adam Morrison, Yuxin Tang, Ang Chen, Xiapu Luo

  USENIX Security 2020

Experience

• Graduate Student, Intelligent Software Systems Laboratory (ISSYL), Rice University

  Jan 2019 – Dec 2024

• Research Intern, Bosch Center for Artificial Intelligence

  May – Aug 2024

• Research Intern, Visa Research

  May – Aug 2023

• Research Intern, ByteDance

  May – Aug 2022

• CSST Summer Program, University of California, Los Angeles

  May – Aug 2016

• Research Assistant, Intelligent Internet of Things, Shanghai Jiao Tong University

  May 2016 – Aug 2018

• Research Assistant, Advanced Network Laboratory, Shanghai Jiao Tong University

  2015 – Aug 2018

Service

Area Chair

ICLR 2027

Session Chair

VLDB 2023, MLSys 2025, VLDB 2026

Program Committee

CGO 2023, UDM-AAAI 2023, PLDI 2023

Reviewer

ICML 2020–2026, NeurIPS 2021–2026, ICLR 2021–2026, VLDB 2026–2027

Data to Knowledge (D2K) Fellow

Fall 2022, Fall 2023, Spring 2024

Teaching

• Teaching Assistant, COMP 411 Principles of Programming Languages, Rice University

  Spring 2020