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ORCIDQinghao Hu 0004
Person information
- affiliation: MIT, Cambridge, MA, USA
Other persons with the same name
- Qinghao Hu — disambiguation page
- Qinghao Hu 0001
![[0000-0003-0422-5509]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0422-5509")
— Institute of Automation, Chinese Academy of Sciences, Beijing, China - Qinghao Hu 0003 — Dalian University of Technology, Dalian, China
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2020 – today
- 2026
[c15]Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han:
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. ASPLOS (2) 2026: 1933-1948- [c14]Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler:
Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. EuroSys 2026: 1879-1893 - [i20]Zhuoyang Zhang, Shang Yang, Qinghao Hu, Luke J. Huang, James Hou, Yufei Sun, Yao Lu, Song Han:
ForeAct: Steering Your VLA with Efficient Visual Foresight Planning. CoRR abs/2602.12322 (2026) - [i19]Luke J. Huang, Zhuoyang Zhang, Qinghao Hu, Shang Yang, Song Han:
Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs. CoRR abs/2602.17616 (2026) - 2025
- [c13]Xiaozhe Yao, Qinghao Hu, Ana Klimovic:
DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs. EuroSys 2025: 110-127 - [c12]Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. ICLR 2025 - [c11]Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han:
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. MLSys 2025 - [c10]Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic:
Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. SOSP 2025: 204-220 - [d1]Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic:
Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. Zenodo, 2025
- [i18]Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han:
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR abs/2502.14866 (2025) - [i17]Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic:
Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. CoRR abs/2504.17096 (2025) - [i16]Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han:
Scaling RL to Long Videos. CoRR abs/2507.07966 (2025) - [i15]Yuxian Gu, Qinghao Hu, Shang Yang, Haocheng Xi, Junyu Chen, Song Han, Han Cai:
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search. CoRR abs/2508.15884 (2025) - [i14]Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler:
Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. CoRR abs/2509.21841 (2025) - [i13]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) - [i12]Zerui Wang, Qinghao Hu, Ana Klimovic, Tianwei Zhang, Yonggang Wen, Peng Sun, Dahua Lin:
Semantic-Aware Scheduling for GPU Clusters with Large Language Models. CoRR abs/2510.03334 (2025) - [i11]Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han:
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. CoRR abs/2511.16665 (2025) - 2024
- [j1]Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen:
Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. 56(6): 146:1-146:38 (2024) - [c9]Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE 2024: 3823-3836 - [c8]Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun:
Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. IWQoS 2024: 1-10 - [c7]Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang:
Characterization of Large Language Model Development in the Datacenter. NSDI 2024: 709-729 - [c6]Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang:
TorchGT: A Holistic System for Large-Scale Graph Transformer Training. SC 2024: Article 77 - [c5]Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang:
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW 2024: 2902-2913 - [i10]Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, Yingtong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun:
InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR abs/2401.09149 (2024) - [i9]Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang:
Characterization of Large Language Model Development in the Datacenter. CoRR abs/2403.07648 (2024) - [i8]Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu:
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR abs/2406.18485 (2024) - [i7]Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang:
TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR abs/2407.14106 (2024) - [i6]Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun:
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR abs/2407.20018 (2024) - [i5]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - 2023
- [c4]Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) 2023: 457-472 - [c3]Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang:
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI 2023: 757-777 - [i4]Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang:
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR abs/2303.01277 (2023) - [i3]Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR abs/2311.00257 (2023) - 2022
- [c2]Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang:
Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX ATC 2022: 519-538 - [i2]Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen:
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR abs/2205.11913 (2022) - 2021
- [c1]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC 2021: 104 - [i1]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR abs/2109.01313 (2021)
Coauthor Index
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