Yongji Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NSDI | Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation. | Jianxing Qin, Jingrong Chen, Xinhao Kong, Yongji Wu, Tianjun Yuan, Liang Luo, Zhaodong Wang, Ying Zhang, Tingjun Chen, Alvin R. Lebeck, Danyang Zhuo |
| 2026 | NSDI | Libra: Flexible Request Partitioning and Scheduling for Serving Unbalanced and Dynamic LLM Workloads. | Chaoyi Ruan, Yinhe Chen, Dongqi Tian, Yandong Shi, Yongji Wu, Jialin Li, Cheng Li |
| 2026 | NSDI | RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning on LLMs. | Yongji Wu, Xueshen Liu, Haizhong Zheng, Juncheng Gu, Beidi Chen, Z. Morley Mao, Arvind Krishnamurthy, Ion Stoica |
| 2025 | KDD | Robust Tree-based Learned Vector Index with Query-aware Repartitioning. | Wenqing Wei, Defu Lian, Qingshuai Feng, Yongji Wu |
| 2025 | MICRO | LLM.265: Video Codecs are Secretly Tensor Codecs. | Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills |
| 2025 | SP | Prompt Inversion Attack Against Collaborative Inference of Large Language Models. | Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang |
| 2024 | 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, Danyang Zhuo |
| 2023 | HOTNETS | Application Defined Networks. | Xiangfeng Zhu, Weixin Deng, Banruo Liu, Jingrong Chen, Yongji Wu, Tom Anderson, Arvind Krishnamurthy, Ratul Mahajan, Danyang Zhuo |
| 2023 | NSDI | Remote Procedure Call as a Managed System Service. | Jingrong Chen, Yongji Wu, Shihan Lin, Yechen Xu, Xinhao Kong, Tom Anderson, Matthew Lentz, Xiaowei Yang, Danyang Zhuo |
| 2021 | CIKM | How Powerful is Graph Convolution for Recommendation? | Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li |
| 2021 | WWW | Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. | Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang |
| 2020 | AAAI | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. | Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen |
| 2020 | KDD | Geography-Aware Sequential Location Recommendation. | Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen |
| 2019 | IJCAI | Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. | Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen |