publications

2025

1. OSDI’25

   WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training (To Appear)

   Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, and Yufei Ding

   In 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

   Bib

   @inproceedings{wang2025wlb,
     title = {WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training (To Appear)},
     author = {Wang, Zheng and Cai, Anna and Xie, Xinfeng and Pan, Zaifeng and Guan, Yue and Chu, Weiwei and Wang, Jie and Li, Shikai and Huang, Jianyu and Cai, Chris and Hao, Yuchen and Ding, Yufei},
     booktitle = {19th USENIX Symposium on Operating Systems Design and Implementation},
     year = {2025}
   }

2. USENIX ATC’25

   PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules (To Appear)

   Ruofan Wu, Zhen Zheng, Feng Zhang, Chuanjie Liu, Zaifeng Pan, Jidong Zhai, and Xiaoyong Du

   In USENIX Annual Technical Conference, 2025

   Bib

   @inproceedings{wu2025plus,
     title = {PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules (To Appear)},
     author = {Wu, Ruofan and Zheng, Zhen and Zhang, Feng and Liu, Chuanjie and Pan, Zaifeng and Zhai, Jidong and Du, Xiaoyong},
     booktitle = {USENIX Annual Technical Conference},
     year = {2025}
   }

3. MLSys’25

   FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference

   Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, and Yufei Ding

   In Proceedings of Machine Learning and Systems, 2025

   Bib PDF Code

   @inproceedings{pan2025fasttree,
     title = {FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference},
     author = {Pan, Zaifeng and Ding, Yitong and Guan, Yue and Wang, Zheng and Yu, Zhongkai and Tang, Xulong and Wang, Yida and Ding, Yufei},
     booktitle = {Proceedings of Machine Learning and Systems},
     year = {2025}
   }

2024

1. SC’24

   RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules

   Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, and Yufei Ding

   In International Conference for High Performance Computing, Networking, Storage and Analysis, 2024

   Bib PDF Code

   @inproceedings{pan2024recflex,
     title = {RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules},
     author = {Pan, Zaifeng and Zheng, Zhen and Zhang, Feng and Xie, Bing and Wu, Ruofan and Smith, Shaden and Liu, Chuanjie and Ruwase, Olatunji and Du, Xiaoyong and Ding, Yufei},
     booktitle = {International Conference for High Performance Computing, Networking, Storage and Analysis},
     pages = {1--15},
     year = {2024},
     organization = {IEEE}
   }

2023

1. SIGMOD’24

   BladeDISC: Optimizing dynamic shape machine learning workloads via compiler approach

   Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, and Wei Lin

   Proceedings of the ACM on Management of Data, 2023

   Bib PDF Code

   @article{zheng2023bladedisc,
     title = {BladeDISC: Optimizing dynamic shape machine learning workloads via compiler approach},
     author = {Zheng, Zhen and Pan, Zaifeng and Wang, Dalin and Zhu, Kai and Zhao, Wenyi and Guo, Tianyou and Qiu, Xiafei and Sun, Minmin and Bai, Junjie and Zhang, Feng and Du, Xiaoyong and Zhai, Jidong and Lin, Wei},
     journal = {Proceedings of the ACM on Management of Data},
     volume = {1},
     number = {3},
     pages = {1--29},
     year = {2023},
     publisher = {ACM New York, NY, USA}
   }

2. ASPLOS’23

   RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns

   Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, and Xiaoyong Du

   In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, 2023

   🏆  Distinguished Artifact Award (presented at ASPLOS’24)

   Bib PDF Code

   @inproceedings{pan2023recom,
     title = {RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns},
     author = {Pan, Zaifeng and Zheng, Zhen and Zhang, Feng and Wu, Ruofan and Liang, Hao and Wang, Dalin and Qiu, Xiafei and Bai, Junjie and Lin, Wei and Du, Xiaoyong},
     booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4},
     pages = {268--286},
     year = {2023}
   }

2021

1. TPDS

   G-slide: A gpu-based sub-linear deep learning engine via lsh sparsification

   Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, and Dong Deng

   IEEE Transactions on Parallel and Distributed Systems, 2021

   Bib PDF Code

   @article{pan2021g,
     title = {G-slide: A gpu-based sub-linear deep learning engine via lsh sparsification},
     author = {Pan, Zaifeng and Zhang, Feng and Li, Hourun and Zhang, Chenyang and Du, Xiaoyong and Deng, Dong},
     journal = {IEEE Transactions on Parallel and Distributed Systems},
     volume = {33},
     number = {11},
     pages = {3015--3027},
     year = {2021},
     publisher = {IEEE}
   }

2. TPDS

   Exploring data analytics without decompression on embedded GPU systems

   Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, and Xiaoyong Du

   IEEE Transactions on Parallel and Distributed Systems, 2021

   Bib PDF

   @article{pan2021exploring,
     title = {Exploring data analytics without decompression on embedded GPU systems},
     author = {Pan, Zaifeng and Zhang, Feng and Zhou, Yanliang and Zhai, Jidong and Shen, Xipeng and Mutlu, Onur and Du, Xiaoyong},
     journal = {IEEE Transactions on Parallel and Distributed Systems},
     volume = {33},
     number = {7},
     pages = {1553--1568},
     year = {2021},
     publisher = {IEEE}
   }

3. ICDE’21

   G-TADOC: Enabling efficient GPU-based text analytics without decompression

   Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, and Xiaoyong Du

   In 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021

   Bib PDF

   @inproceedings{zhang2021g,
     title = {G-TADOC: Enabling efficient GPU-based text analytics without decompression},
     author = {Zhang, Feng and Pan, Zaifeng and Zhou, Yanliang and Zhai, Jidong and Shen, Xipeng and Mutlu, Onur and Du, Xiaoyong},
     booktitle = {2021 IEEE 37th International Conference on Data Engineering (ICDE)},
     pages = {1679--1690},
     year = {2021},
     organization = {IEEE}
   }