Qizhen Weng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2018–2026
Best venue rank
B
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | Suika: Efficient and High-quality Re-scheduling of 3D-parallelized LLM Training Jobs in Shared Clusters. | Yuxuan Wang, Yanbo Wang, Chen Chen, Chunyu Xue, Qizhen Weng, Yin Chen, Zeren Li, Xuqi Zhu, Yongqiang Yang, Quan Chen, Minyi Guo |
| 2026 | EuroSys | Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. | Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin |
| 2025 | IROS | Towards Efficient Image-goal Navigation: A Self-supervised Transformer-based Reinforcement Learning Approach. | Qizhen Weng, Jiaocheng Hu, Zhijie Wu, Xiangwei Zhu |
| 2025 | NSDI | GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. | Lingyun Yang, Yongchen Wang, Yinghao Yu, Qizhen Weng, Jianbo Dong, Kan Liu, Chi Zhang, Yanyi Zi, Hao Li, Zechao Zhang, Nan Wang, Yu Dong, Menglei Zheng, Lanlan Xi, Xiaowei Lu, Liang Ye, Guodong Yang, Binzhang Fu, Tao Lan, Liping Zhang, Lin Qu, Wei Wang |
| 2025 | USENIX | Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. | Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang |
| 2023 | USENIX | Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. | Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang |
| 2022 | CLOUD | Workload consolidation in alibaba clusters: the good, the bad, and the ugly. | Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang |
| 2022 | NSDI | MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. | Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding |
| 2020 | CLOUD | Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. | Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li |
| 2020 | SC | Metis: learning to schedule long-running applications in shared container clusters at scale. | Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li |
| 2018 | CLOUD | Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. | Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li |
| 2018 | ICDCS | OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. | Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief |