Qizhen Weng 翁祈桢

@inproceedings{wang2026Suika,
  title = {Suika: Efficient and High-quality Re-scheduling of 3D-parallelized LLM Training Jobs in Shared Clusters},
  author = {Wang, Yuxuan and Wang, Yanbo and Chen, Chen and Xue, Chunyu and Weng, Qizhen and Chen, Yin and Li, Zeren and Zhu, Xuqi and Yang, Yongqiang and Chen, Quan and Guo, Minyi},
  booktitle = {21th ACM European Conference on Computer Systems (EuroSys)},
  year = {2026},
  month = apr,
  address = {Edinburgh, UK},
}

@inproceedings{wu2026Grouter,
  title = {Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach},
  author = {Wu, Hao and Liu, Yaochen and Yu, Minchen and Weng, Qizhen and Deng, Junxiao and Yu, Yue and Fan, Hao and Wu, Song and Wang, Wei and Jin, Hai},
  booktitle = {21th ACM European Conference on Computer Systems (EuroSys)},
  year = {2026},
  month = apr,
  address = {Edinburgh, UK},
}

@article{chen2025TeleWorld,
  title = {{TeleWorld}: Towards Dynamic Multimodal Synthesis with a 4D World Model},
  author = {Chen, Yabo and Liang, Yuanzhi and Wang, Jiepeng and Chen, Tingxi and Cheng, Junfei and Gu, Zixiao and Huang, Yuyang and Jiang, Zicheng and Li, Wei and Li, Tian and Li, Weichen and Li, Zuoxin and Liu, Guangce and Liu, Jialun and Liu, Junqi and Wang, Haoyuan and Weng, Qizhen and Wu, Xuan'er and Xiang, Xunzhi and Yang, Xiaoyan and Zhang, Xin and Zhang, Shiwen and Zhou, Junyu and Zhou, Chengcheng and Huang, Haibin and Zhang, Chi and Li, Xuelong},
  journal = {arXiv preprint arXiv:2601.00051},
  publisher = {arXiv},
  year = {2025},
  month = dec,
  note = {Ranked No. 1 on the WorldScore Leaderboard in December 2025},
}

@article{fan2025AITrinity,
  title = {Computation-Bandwidth-Memory Trade-offs: A Unified Paradigm for AI Infrastructure},
  author = {Fan, Yuankai and Weng, Qizhen and Li, Xuelong},
  journal = {arXiv preprint arXiv:2601.11577},
  publisher = {arXiv},
  year = {2025},
  month = dec,
}

@inproceedings{li2025Toppings,
  title = {Toppings: CPU-Assisted, Rank-Aware Adapter Serving for {LLM} Inference},
  author = {Li, Suyi and Lu, Hanfeng and Wu, Tianyuan and Yu, Minchen and Weng, Qizhen and Chen, Xusheng and Shan, Yizhou and Yuan, Binhang and Wang, Wei},
  booktitle = {2025 {USENIX} Annual Technical Conference (ATC)},
  publisher = {{USENIX} Association},
  year = {2025},
  month = jul,
  pages = {612--629},
  address = {Boston, MA},
  url = {https://www.usenix.org/conference/atc25/presentation/li-suyi-toppings},
}

@inproceedings{yang2025Prism,
  title = {{GPU-Disaggregated} Serving for Deep Learning Recommendation Models at Scale},
  author = {Yang, Lingyun and Wang, Yongchen and Yu, Yinghao and Weng, Qizhen and Dong, Jianbo and Liu, Kan and Zhang, Chi and Zi, Yanyi and Li, Hao and Zhang, Zechao and Wang, Nan and Dong, Yu and Zheng, Menglei and Xi, Lanlan and Lu, Xiaowei and Ye, Liang and Yang, Guodong and Fu, Binzhang and Lan, Tao and Zhang, Liping and Qu, Lin and Wang, Wei},
  booktitle = {22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI)},
  publisher = {USENIX Association},
  year = {2025},
  isbn = {978-1-939133-46-5},
  address = {Philadelphia, PA},
  pages = {847--863},
  url = {https://www.usenix.org/conference/nsdi25/presentation/yang},
  month = apr,
}

@article{duan2024LLMSurvey,
  title = {Efficient Training of Large Language Models on Distributed Infrastructures: A Survey},
  author = {Duan, Jiangfei and Zhang, Shuo and Wang, Zerui and Jiang, Lijuan and Qu, Wenwen and Hu, Qinghao and Wang, Guoteng and Weng, Qizhen and Yan, Hang and Zhang, Xingcheng and Qiu, Xipeng and Lin, Dahua and Wen, Yonggang and Jin, Xin and Zhang, Tianwei and Sun, Peng},
  journal = {arXiv preprint arXiv:2407.20018},
  publisher = {arXiv},
  year = {2024},
  month = jul,
}

@article{cai2024Internlm2,
  title = {InternLM2 Technical Report},
  author = {Cai, Zheng and Cao, Maosong and Chen, Haojiong and Chen, Kai and Chen, Keyu and Chen, Xin and Chen, Xun and Chen, Zehui and Chen, Zhi and Chu, Pei and Dong, Xiaoyi and Duan, Haodong and Fan, Qi and Fei, Zhaoye and Gao, Yang and Ge, Jiaye and Gu, Chenya and Gu, Yuzhe and Gui, Tao and Guo, Aijia and Guo, Qipeng and He, Conghui and Hu, Yingfan and Huang, Ting and Jiang, Tao and Jiao, Penglong and Jin, Zhenjiang and Lei, Zhikai and Li, Jiaxing and Li, Jingwen and Li, Linyang and Li, Shuaibin and Li, Wei and Li, Yining and Liu, Hongwei and Liu, Jiangning and Hong, Jiawei and Liu, Kaiwen and Liu, Kuikun and Liu, Xiaoran and Lv, Chengqi and Lv, Haijun and Lv, Kai and Ma, Li and Ma, Runyuan and Ma, Zerun and Ning, Wenchang and Ouyang, Linke and Qiu, Jiantao and Qu, Yuan and Shang, Fukai and Shao, Yunfan and Song, Demin and Song, Zifan and Sui, Zhihao and Sun, Peng and Sun, Yu and Tang, Huanze and Wang, Bin and Wang, Guoteng and Wang, Jiaqi and Wang, Jiayu and Wang, Rui and Wang, Yudong and Wang, Ziyi and Wei, Xingjian and Weng, Qizhen and Wu, Fan and Xiong, Yingtong and Xu, Chao and Xu, Ruiliang and Yan, Hang and Yan, Yirong and Yang, Xiaogui and Ye, Haochen and Ying, Huaiyuan and Yu, Jia and Yu, Jing and Zang, Yuhang and Zhang, Chuyu and Zhang, Li and Zhang, Pan and Zhang, Peng and Zhang, Ruijie and Zhang, Shuo and Zhang, Songyang and Zhang, Wenjian and Zhang, Wenwei and Zhang, Xingcheng and Zhang, Xinyue and Zhao, Hui and Zhao, Qian and Zhao, Xiaomeng and Zhou, Fengzhe and Zhou, Zaida and Zhuo, Jingming and Zou, Yicheng and Qiu, Xipeng and Qiao, Yu and Lin, Dahua},
  journal = {arXiv preprint arXiv:2403.17297},
  publisher = {arXiv},
  year = {2024},
}

@inproceedings{weng2023FGD,
  title = {Beware of Fragmentation: Scheduling {GPU}-Sharing Workloads with Fragmentation Gradient Descent},
  author = {Weng, Qizhen and Yang, Lingyun and Yu, Yinghao and Wang, Wei and Tang, Xiaochuan and Yang, Guodong and Zhang, Liping},
  booktitle = {2023 {USENIX} Annual Technical Conference (ATC)},
  publisher = {{USENIX} Association},
  year = {2023},
  isbn = {978-1-939133-35-9},
  address = {Boston, MA},
  pages = {995--1008},
  url = {https://www.usenix.org/conference/atc23/presentation/weng},
}

@inproceedings{weng2022MLaaS,
  title = {{MLaaS} in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous {GPU} Clusters},
  author = {Weng, Qizhen and Xiao, Wencong and Yu, Yinghao and Wang, Wei and Wang, Cheng and He, Jian and Li, Yong and Zhang, Liping and Lin, Wei and Ding, Yu},
  booktitle = {19th USENIX Symposium on Networked Systems Design and Implementation (NSDI)},
  pages = {945--960},
  year = {2022},
}

@inproceedings{wang2020Metis,
  title = {Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters at Scale},
  author = {Wang, Luping and Weng, Qizhen and Wang, Wei and Chen, Chen and Li, Bo},
  booktitle = {International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  pages = {1--17},
  year = {2020},
  organization = {IEEE},
}

@inproceedings{chen2020Semi,
  title = {Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments},
  author = {Chen, Chen and Weng, Qizhen and Wang, Wei and Li, Baochun and Li, Bo},
  booktitle = {11th ACM Symposium on Cloud Computing (SoCC)},
  pages = {431--446},
  year = {2020},
}