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ORCIDMingshu Zhai
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2020 – today
- 2026
[c9]Qihao Zhang
, Mingliang Tang, Mingshu Zhai, Kinman Lei, Jidong Zhai:
RoMeo: Mitigating Dual-dimensional Outliers with Rotated Mixed Precision Quantization. PPoPP 2026: 273-287- 2025
- [j3]Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai:
Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks. Big Data Min. Anal. 8(4): 966-980 (2025) - [c8]Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai:
IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. CGO 2025: 107-122 - [c7]Yuyang Jin, Xirui Shui, Mingshu Zhai, Zan Zong, Feng Zhang, Felix Wolf, Jidong Zhai:
TraceFlow: Efficient Trace Analysis for Large-Scale Parallel Applications via Interaction Pattern-Aware Trace Distribution. SC 2025: 383-396 - [c6]Kezhao Huang, Siqi Zhu, Mingshu Zhai, Liyan Zheng, Kinman Lei, Jiaao He, Yuyang Jin, Jidong Zhai:
mTuner: Accelerating Parameter-Efficient Fine-Tuning on Multi-GPU Servers with Elastic Tensor. USENIX ATC 2025: 105-121 - [c5]Qihao Zhang, Mingshu Zhai, Rui Sun, Jidong Zhai:
QFactory: Accelerating Quantized Large Language Model Serving with Qtile Graphs. USENIX ATC 2025: 631-646 - [i2]Jiecheng Zhou, Qinghao Hu, Yuyang Jin, Zerui Wang, Peng Sun, Yuzhe Gu, Wenwei Zhang, Mingshu Zhai, Xingcheng Zhang, Weiming Zhang:
RL in the Wild: Characterizing RLVR Training in LLM Deployment. CoRR abs/2509.25279 (2025) - 2024
- [c4]Kinman Lei, Yuyang Jin, Mingshu Zhai, Kezhao Huang, Haoxing Ye, Jidong Zhai:
PUZZLE: Efficiently Aligning Large Language Models through Light-Weight Context Switch. USENIX ATC 2024: 127-140 - 2023
- [j2]Juncheng Cao, Kaiyuan Rong, Mingshu Zhai, Zeyu Song, Yanyu Ren, Yuxi Zhu, Wentao Han, Jidong Zhai:
Critique of "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. 34(6): 1723-1726 (2023) - [c3]Tianhui Shi, Jidong Zhai, Haojie Wang, Qiqian Chen, Mingshu Zhai, Zixu Hao, Haoyu Yang, Wenguang Chen:
GraphSet: High Performance Graph Mining through Equivalent Set Transformations. SC 2023: 32:1-32:14 - [c2]Mingshu Zhai, Jiaao He, Zixuan Ma, Zan Zong, Runqing Zhang, Jidong Zhai:
SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization. USENIX ATC 2023: 961-975 - 2022
- [j1]Runxin Zhong, Jiajie Chen, Chen Zhang, Mingshu Zhai, Zeyu Song, Yutian Wang, Wentao Han, Lin Gan, Jidong Zhai:
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. 33(9): 2050-2053 (2022) - 2020
- [c1]Tianhui Shi, Mingshu Zhai, Yi Xu, Jidong Zhai:
GraphPi: high performance graph pattern matching through effective redundancy elimination. SC 2020: 100 - [i1]Tianhui Shi, Mingshu Zhai, Yi Xu, Jidong Zhai:
GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination. CoRR abs/2009.10955 (2020)
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