Qizhen Weng - RankMe

20 papers A 4Misc 2Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands. CoRR Weiye Wang, Chen Chen, Junxue Zhang, Zhusheng Wang, Hui Yuan, Zixuan Guan, Xiaolong Zheng, Qizhen Weng, Yin Chen, Minyi Guo
2026	A	`conf`	Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. EuroSys Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin
2026	A	`conf`	Suika: Efficient and High-quality Re-scheduling of 3D-parallelized LLM Training Jobs in Shared Clusters. EuroSys Yuxuan Wang, Yanbo Wang, Chen Chen, Chunyu Xue, Qizhen Weng, Yin Chen, Zeren Li, Xuqi Zhu, Yongqiang Yang, Quan Chen, Minyi Guo
2025	J	`jnl`	Efficient Unified Caching for Accelerating Heterogeneous AI Workloads. CoRR Tianze Wang, Yifei Liu, Chen Chen, Pengfei Zuo, Jiawei Zhang, Qizhen Weng, Yin Chen, Zhenhua Han, Jieru Zhao, Quan Chen, Minyi Guo
2025	Misc	`conf`	GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. NSDI 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	J	`jnl`	Janus: Disaggregating Attention and Experts for Scalable MoE Inference. CoRR Zhexiang Zhang, Ye Wang, Xiangyu Wang, Yumiao Zhao, Jingzhe Jiang, Qizhen Weng, Shaohuai Shi, Yin Chen, Minchen Yu
2025	—	`conf`	Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. USENIX ATC Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024	J	`jnl`	CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
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	J	`jnl`	InternLM2 Technical Report. CoRR Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Xiaomeng Zhao, et al.
2023	J	`jnl`	Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Trans. Cloud Comput. Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2023	—	`conf`	Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. USENIX ATC Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang
2022	Misc	`conf`	MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. NSDI Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding
2022	—	`conf`	Workload consolidation in alibaba clusters: the good, the bad, and the ugly. SoCC 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
2020	A	`conf`	Metis: learning to schedule long-running applications in shared container clusters at scale. SC Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li
2020	—	`conf`	Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. SoCC Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2019	—	`conf`	Towards Framework-Independent, Non-Intrusive Performance Characterization for Dataflow Computation. APSys Huangshi Tian, Qizhen Weng, Wei Wang
2018	—	`conf`	Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. SoCC Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2018	J	`jnl`	Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. CoRR Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
2018	A	`conf`	OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. ICDCS Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief