Tianhao Miao

According to our database, Tianhao Miao authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lotus: Efficient LLM Training by Randomized Low-Rank Gradient Projection with Adaptive Subspace Switching.

Tianhao Miao, Zhongyuan Bao, Lejun Zhang

CoRR, February, 2026

2023

Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices.

Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li, Gareth Tyson, Tianhao Miao, Gaogang Xie

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

2022

Enabling In-Network Floating-Point Arithmetic for Efficient Computation Offloading.

Penglai Cui, Heng Pan, Zhenyu Li, Penghao Zhang, Tianhao Miao, Jianer Zhou, Hongtao Guan, Gaogang Xie

IEEE Trans. Parallel Distributed Syst., 2022

Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training.

Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson, Gaogang Xie

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MD-Roofline: A Training Performance Analysis Model for Distributed Deep Learning.

Tianhao Miao, Qinghua Wu, Ting Liu, Penglai Cui, Rui Ren, Zhenyu Li, Gaogang Xie

Proceedings of the IEEE Symposium on Computers and Communications, 2022