| Geography-Aware Sequential Location Recommendation D Lian, Y Wu, Y Ge, X Xie, E Chen Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 308 | 2020 |
| Graph convolutional networks with markov random field reasoning for social spammer detection Y Wu, D Lian, Y Xu, L Wu, E Chen Proceedings of the AAAI conference on artificial intelligence 34 (01), 1054-1061, 2020 | 253 | 2020 |
| How powerful is graph convolution for recommendation? Y Shen, Y Wu, Y Zhang, C Shan, J Zhang, BK Letaief, D Li Proceedings of the 30th ACM international conference on information …, 2021 | 146 | 2021 |
| Punica: Multi-tenant lora serving L Chen, Z Ye, Y Wu, D Zhuo, L Ceze, A Krishnamurthy MLSys 2024, 2023 | 99 | 2023 |
| Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. Y Wu, D Lian, S Jin, E Chen IJCAI, 3898-3904, 2019 | 80 | 2019 |
| Poisoning attacks to local differential privacy protocols for {Key-Value} data Y Wu, X Cao, J Jia, NZ Gong 31st USENIX Security Symposium (USENIX Security 22), 519-536, 2022 | 70 | 2022 |
| Markov-driven graph convolutional networks for social spammer detection L Deng, C Wu, D Lian, Y Wu, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (12), 12310-12322, 2022 | 45 | 2022 |
| Remote procedure call as a managed system service J Chen, Y Wu, S Lin, Y Xu, X Kong, T Anderson, M Lentz, X Yang, D Zhuo 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 34 | 2023 |
| Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures Y Wu, M Lentz, D Zhuo, Y Lu Proceedings of the VLDB Endowment, Vol. 16, 2022 | 33 | 2022 |
| Linear-time self attention with codeword histogram for efficient recommendation Y Wu, D Lian, NZ Gong, L Yin, M Yin, J Zhou, H Yang Proceedings of the Web Conference 2021, 1262-1273, 2021 | 23 | 2021 |
| MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud Y Wu, Y Xu, J Chen, Z Wang, Y Zhang, M Lentz, D Zhuo Proceedings of the ACM SIGCOMM 2024 Conference, 679-690, 2024 | 20 | 2024 |
| Computing in the era of large generative models: From cloud-native to AI-native Y Lu, S Bian, L Chen, Y He, Y Hui, M Lentz, B Li, F Liu, J Li, Q Liu, R Liu, ... arXiv preprint arXiv:2401.12230, 2024 | 17 | 2024 |
| Prompt inversion attack against collaborative inference of large language models W Qu, Y Zhou, Y Wu, T Xiao, B Yuan, Y Li, J Zhang 2025 IEEE Symposium on Security and Privacy (SP), 1695-1712, 2025 | 14 | 2025 |
| Lazarus: Resilient and elastic training of mixture-of-experts models with adaptive expert placement Y Wu, W Qu, T Tao, Z Wang, W Bai, Z Li, Y Tian, J Zhang, M Lentz, D Zhuo arXiv preprint arXiv:2407.04656, 2024 | 11 | 2024 |
| Application defined networks X Zhu, W Deng, B Liu, J Chen, Y Wu, T Anderson, A Krishnamurthy, ... Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 87-94, 2023 | 11 | 2023 |
| Adaptive skeleton graph decoding S Jin, Y Wu, H Zheng, Q Zhang, M Lentz, ZM Mao, A Prakash, F Qian, ... arXiv preprint arXiv:2402.12280, 2024 | 9 | 2024 |
| Curator: Efficient indexing for multi-tenant vector databases Y Jin, Y Wu, W Hu, BM Maggs, X Zhang, D Zhuo arXiv preprint arXiv:2401.07119, 2024 | 9 | 2024 |
| Hetermoe: Efficient training of mixture-of-experts models on heterogeneous gpus Y Wu, X Liu, S Jin, C Xu, F Qian, ZM Mao, M Lentz, D Zhuo, I Stoica arXiv preprint arXiv:2504.03871, 2025 | 5 | 2025 |
| Rlboost: Harvesting preemptible resources for cost-efficient reinforcement learning on llms Y Wu, X Liu, H Zheng, J Gu, B Chen, ZM Mao, A Krishnamurthy, I Stoica arXiv preprint arXiv:2510.19225, 2025 | 4 | 2025 |
| LEANN: A Low-Storage Vector Index Y Wang, Z Li, S Liu, Y Wu, Z Mao, Y Zhao, X Yan, Z Xu, Y Zhou, I Stoica, ... arXiv preprint arXiv:2506.08276, 2025 | 1 | 2025 |
Danyang ZhuoDuke UniversityVerified email at duke.edu
