Qinghao Hu - RankMe

36 papers A* 5A 4B 1Misc 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ForeAct: Steering Your VLA with Efficient Visual Foresight Planning. CoRR Zhuoyang Zhang, Shang Yang, Qinghao Hu, Luke J. Huang, James Hou, Yufei Sun, Yao Lu, Song Han
2026	J	`jnl`	Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs. CoRR Luke J. Huang, Zhuoyang Zhang, Qinghao Hu, Shang Yang, Song Han
2026	—	`conf`	Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. ASPLOS (2) Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han
2026	A	`conf`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. EuroSys Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2025	A	`conf`	DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs. EuroSys Xiaozhe Yao, Qinghao Hu, Ana Klimovic
2025	J	`jnl`	Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search. CoRR Yuxian Gu, Qinghao Hu, Shang Yang, Haocheng Xi, Junyu Chen, Song Han, Han Cai
2025	—	`conf`	LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. MLSys Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han
2025	J	`jnl`	LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han
2025	A*	`conf`	LongVILA: Scaling Long-Context Visual Language Models for Long Videos. ICLR 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
2025	J	`jnl`	RL in the Wild: Characterizing RLVR Training in LLM Deployment. CoRR Jiecheng Zhou, Qinghao Hu, Yuyang Jin, Zerui Wang, Peng Sun, Yuzhe Gu, Wenwei Zhang, Mingshu Zhai, Xingcheng Zhang, Weiming Zhang
2025	A*	`conf`	Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. SOSP Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic
2025	J	`jnl`	Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. CoRR Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic
2025	J	`jnl`	Scaling RL to Long Videos. CoRR 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
2025	J	`jnl`	Semantic-Aware Scheduling for GPU Clusters with Large Language Models. CoRR Zerui Wang, Qinghao Hu, Ana Klimovic, Tianwei Zhang, Yonggang Wen, Peng Sun, Dahua Lin
2025	J	`jnl`	Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. CoRR Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han
2025	J	`jnl`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. CoRR Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2024	Misc	`conf`	Characterization of Large Language Model Development in the Datacenter. NSDI Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	Characterization of Large Language Model Development in the Datacenter. CoRR Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
2024	J	`jnl`	Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR 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
2024	A*	`conf`	FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, Yingtong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun
2024	B	`conf`	Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. IWQoS Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun
2024	J	`jnl`	LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR 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
2024	J	`jnl`	LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR 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
2024	A*	`conf`	Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	A	`conf`	TorchGT: A Holistic System for Large-Scale Graph Transformer Training. SC Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
2023	J	`jnl`	AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	J	`jnl`	Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	A*	`conf`	Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	—	`conf`	Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang
2022	J	`jnl`	Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
2022	—	`conf`	Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX ATC Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang
2021	J	`jnl`	Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
2021	A	`conf`	Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang