Scholar
Jue Wang
Google Scholar ID: PykI8xcAAAAJ
Together AI; ZJU
Citations & Impact
Citations
3,387
H-index
12
i10-index
12
Publications
20
Co-authors
16
list available
Resume (English only)
Academic Achievements
- - Ladder Residual: Redefining Tensor Parallelism in Transformers for Accelerated Inference (ICML 2025)
- - FloE: On-the-Fly MoE Inference on Memory-constrained GPU (ICML 2025)
- - Improving Model Alignment Through Collective Intelligence of Open-Source Models (ICML 2025)
- - Mixture-of-Agents Enhances Large Language Model Capabilities (ICLR 2025)
- - Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation (ICLR 2025)
- - Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models (ICLR 2025)
Research Experience
- - Together AI, Senior Staff Researcher, May 2025 - Present
- - Together AI, Staff Researcher, July 2023 - May 2025
- - Rokid, Research Intern, June 2018 - September 2018
Education
- - Zhejiang University, Ph.D. in Computer Science, Sep 2018 - Jun 2023, Advisor: Prof. Lidan Shou
- - ETH Zurich, Academic Guest, Mar 2021 - Sep 2021
- - Université Paris Saclay (CentraleSupélec), Master (Engineer) in General Engineering, Sep 2016 - Jun 2018
- - Zhejiang University, Bachelor in Electrical Engineering, Sep 2014 - Jun 2018
Background
- Currently a senior staff researcher at Together AI, working closely with Prof. Ce Zhang. Research interests mainly focus on efficient and cost-effective algorithms and systems for large language models (LLMs).
