publications

2024

1. SIGCOMM

   MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud

   Yongji Wu, Yechen Xu, Jingrong Chen, Zhaodong Wang, Ying Zhang, Matthew Lentz, and Danyang Zhuo

   ACM SIGCOMM 2024 Conference (SIGCOMM), 2024

   Bib PDF Code

   @article{wu2024mccs,
     title = {MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud},
     author = {Wu, Yongji and Xu, Yechen and Chen, Jingrong and Wang, Zhaodong and Zhang, Ying and Lentz, Matthew and Zhuo, Danyang},
     journal = {ACM SIGCOMM 2024 Conference (SIGCOMM)},
     year = {2024},
   }

2. Preprint

   Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement

   Yongji Wu^*, Wenjie Qu^*, Tianyang Tao, Zhuang Wang, Wei Bai, Zhuohao Li, Yuan Tian, Jiaheng Zhang, Matthew Lentz, and Danyang Zhuo

   arXiv preprint arxiv:2407.04656, 2024

   arXiv Bib

   @article{wu2024lazarus,
     title = {Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement 	},
     author = {Wu, Yongji and Qu, Wenjie and Tao, Tianyang and Wang, Zhuang and Bai, Wei and Li, Zhuohao and Tian, Yuan and Zhang, Jiaheng and Lentz, Matthew and Zhuo, Danyang},
     journal = {arXiv preprint arxiv:2407.04656},
     year = {2024},
   }

3. Preprint

   VcLLM: Video Codecs are Secretly Tensor Codecs

   Ceyu Xu^*, Yongji Wu^*, Xinyu Yang^*, Beidi Chen, Matthew Lentz, Danyang Zhuo, and Lisa Wu Wills

   arXiv preprint arXiv:2407.00467, 2024

   arXiv Bib

   @article{xu2024vcllm,
     title = {VcLLM: Video Codecs are Secretly Tensor Codecs},
     author = {Xu, Ceyu and Wu, Yongji and Yang, Xinyu and Chen, Beidi and Lentz, Matthew and Zhuo, Danyang and Wills, Lisa Wu},
     journal = {arXiv preprint arXiv:2407.00467},
     year = {2024},
   }

4. MLSys

   Punica: Multi-Tenant LoRA Serving

   Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, and Arvind Krishnamurthy

   The Seventh Annual Conference on Machine Learning and Systems (MLSys), 2024

   Bib PDF Code

   @article{chen2023punica,
     title = {Punica: Multi-Tenant LoRA Serving},
     author = {Chen, Lequn and Ye, Zihao and Wu, Yongji and Zhuo, Danyang and Ceze, Luis and Krishnamurthy, Arvind},
     journal = {The Seventh Annual Conference on Machine Learning and Systems (MLSys)},
     year = {2024},
   }

5. Preprint

   Adaptive Skeleton Graph Decoding

   Shuowei Jin^*, Yongji Wu^*, Haizhong Zheng, Qingzhao Zhang, Matthew Lentz, Z Morley Mao, Atul Prakash, Feng Qian, and Danyang Zhuo

   arXiv preprint arXiv:2402.12280, 2024

   arXiv Bib

   @article{jin2024adaptive,
     title = {Adaptive Skeleton Graph Decoding},
     author = {Jin, Shuowei and Wu, Yongji and Zheng, Haizhong and Zhang, Qingzhao and Lentz, Matthew and Mao, Z Morley and Prakash, Atul and Qian, Feng and Zhuo, Danyang},
     journal = {arXiv preprint arXiv:2402.12280},
     year = {2024},
   }

2023

1. NSDI

   Remote Procedure Call as a Managed System Service

   Jingrong Chen^*, Yongji Wu^*, Shihan Lin, Yechen Xu, Xinhao Kong, Thomas Anderson, Matthew Lentz, Xiaowei Yang, and Danyang Zhuo

   The 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2023

   Bib PDF Code Slides

   @article{chen2023remote,
     title = {Remote Procedure Call as a Managed System Service},
     author = {Chen, Jingrong and Wu, Yongji and Lin, Shihan and Xu, Yechen and Kong, Xinhao and Anderson, Thomas and Lentz, Matthew and Yang, Xiaowei and Zhuo, Danyang},
     journal = {The 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI)},
     pages = {141--159},
     year = {2023},
   }

2. VLDB

   Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

   Yongji Wu, Matthew Lentz, Danyang Zhuo, and Yao Lu

   The 49th International Conference on Very Large Data Bases (VLDB), 2023

   Bib PDF Code Slides

   @article{wu2022serving,
     title = {Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures},
     author = {Wu, Yongji and Lentz, Matthew and Zhuo, Danyang and Lu, Yao},
     journal = {The 49th International Conference on Very Large Data Bases (VLDB)},
     year = {2023},
   }

3. HotNets

   Application Defined Networks

   Xiangfeng Zhu, Weixin Deng, Banruo Liu, Jingrong Chen, Yongji Wu, Thomas Anderson, Arvind Krishnamurthy, Ratul Mahajan, and Danyang Zhuo

   The 22nd ACM Workshop on Hot Topics in Networks (HotNets), 2023

   Bib PDF

   @article{zhu2023application,
     title = {Application Defined Networks},
     author = {Zhu, Xiangfeng and Deng, Weixin and Liu, Banruo and Chen, Jingrong and Wu, Yongji and Anderson, Thomas and Krishnamurthy, Arvind and Mahajan, Ratul and Zhuo, Danyang},
     journal = {The 22nd ACM Workshop on Hot Topics in Networks (HotNets)},
     pages = {87--94},
     year = {2023},
   }

2022

1. USENIX Security

   Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data

   Yongji Wu, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong

   The 31st USENIX Security Symposium (USENIX Security), 2022

   Bib PDF Slides

   @article{wu2022poisoning,
     title = {Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data},
     author = {Wu, Yongji and Cao, Xiaoyu and Jia, Jinyuan and Gong, Neil Zhenqiang},
     journal = {The 31st USENIX Security Symposium (USENIX Security)},
     pages = {519--536},
     year = {2022},
   }

2. TKDE

   Markov-Driven Graph Convolutional Networks for Social Spammer Detection

   Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, and Enhong Chen

   IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

   Bib

   @article{deng2022markov,
     title = {Markov-Driven Graph Convolutional Networks for Social Spammer Detection},
     author = {Deng, Leyan and Wu, Chenwang and Lian, Defu and Wu, Yongji and Chen, Enhong},
     journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
     volume = {35},
     number = {12},
     pages = {12310--12322},
     year = {2022},
     publisher = {IEEE},
   }

2021

1. WWW

   Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation

   Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, and Hongxia Yang

   The Web Conference 2021 (WWW), 2021

   Bib PDF

   @article{wu2021linear,
     title = {Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation},
     author = {Wu, Yongji and Lian, Defu and Gong, Neil Zhenqiang and Yin, Lu and Yin, Mingyang and Zhou, Jingren and Yang, Hongxia},
     journal = {The Web Conference 2021 (WWW)},
     pages = {1262--1273},
     year = {2021},
   }

2. CIKM

   How Powerful is Graph Convolution for Recommendation?

   Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B Khaled Letaief, and Dongsheng Li

   The 30th ACM ACM International Conference on Information & Knowledge Management (CIKM), 2021

   Bib PDF

   @article{shen2021powerful,
     title = {How Powerful is Graph Convolution for Recommendation?},
     author = {Shen, Yifei and Wu, Yongji and Zhang, Yao and Shan, Caihua and Zhang, Jun and Letaief, B Khaled and Li, Dongsheng},
     journal = {The 30th ACM ACM International Conference on Information & Knowledge Management (CIKM)},
     pages = {1619--1629},
     year = {2021},
   }

2020

1. KDD

   Geography-Aware Sequential Location Recommendation

   Defu Lian, Yongji Wu, Yong Ge, Xing Xie, and Enhong Chen

   The 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD, 2020

   Bib PDF

   @article{lian2020geography,
     title = {Geography-Aware Sequential Location Recommendation},
     author = {Lian, Defu and Wu, Yongji and Ge, Yong and Xie, Xing and Chen, Enhong},
     journal = {The 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining (KDD},
     pages = {2009--2019},
     year = {2020},
   }

2. AAAI

   Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection

   Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, and Enhong Chen

   The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

   Bib PDF

   @article{wu2020graph,
     title = {Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection},
     author = {Wu, Yongji and Lian, Defu and Xu, Yiheng and Wu, Le and Chen, Enhong},
     journal = {The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI)},
     volume = {34},
     number = {01},
     pages = {1054--1061},
     year = {2020},
   }

2019

1. IJCAI

   Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference.

   Yongji Wu, Defu Lian, Shuowei Jin, and Enhong Chen

   The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019