| FetaQA: Free-form table question answering L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kryściński, ... Transactions of the Association for Computational Linguistics, 2022 | 121* | 2022 |
| Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ... ACL 2022, 2021 | 106 | 2021 |
| DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization Z Mao, CH Wu, A Ni, Y Zhang, R Zhang, T Yu, B Deb, C Zhu, ... ACL 2022, 2021 | 72 | 2021 |
| Enhancing fouling mitigation of submerged flat-sheet membranes by vibrating 3D-spacers YZ Tan, Z Mao, Y Zhang, WS Tan, TH Chong, B Wu, JW Chew Separation and Purification Technology 215, 70-80, 2019 | 68 | 2019 |
| Spacer vibration for fouling control of submerged flat sheet membranes B Wu, Y Zhang, Z Mao, WS Tan, YZ Tan, JW Chew, TH Chong, AG Fane Separation and Purification Technology 210, 719-728, 2019 | 45 | 2019 |
| GL-Cache: Group-level learning for efficient and high-performance caching J Yang, Z Mao, Y Yue, R Vinayak FAST 2023, 2023 | 33 | 2023 |
| Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries X Tang, AR Fabbri, Z Mao, G Adams, B Wang, H Li, Y Mehdad, D Radev NAACL 2022, 2021 | 19 | 2021 |
| Can't Be Late: Optimizing Spot Instance Savings under Deadlines Z Wu, WL Chiang, Z Mao, Z Yang, E Friedman, S Shenker, I Stoica NSDI 2024, 2024 | 8 | 2024 |
| Pie: Pooling CPU Memory for LLM Inference Y Xu, Z Mao, X Mo, S Liu, I Stoica arXiv preprint arXiv:2411.09317, 2024 | 1 | 2024 |
| SkyServe: Serving AI Models across Regions and Clouds with Spot Instances Z Mao, T Xia, Z Wu, WL Chiang, T Griggs, R Bhardwaj, Z Yang, S Shenker, ... EuroSys 25, 2024 | 1 | 2024 |
| Revisiting Cache Freshness for Emerging Real-Time Applications Z Mao, R Iyer, S Shenker, I Stoica HotNets 24', 2024 | 1 | 2024 |
| Trinity: A Fast Compressed Multi-attribute Data Store Z Mao, K Srinivasan, A Khandelwal EuroSys 2024, 2024 | 1 | 2024 |
| Locality-aware Fair Scheduling in LLM Serving S Cao, Y Wang, Z Mao, PL Hsu, L Yin, T Xia, D Li, S Liu, Y Zhang, Y Zhou, ... arXiv preprint arXiv:2501.14312, 2025 | | 2025 |
| The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution FS Luan, Z Mao, RY Wang, C Lin, A Kamsetty, H Chen, C Su, ... arXiv preprint arXiv:2501.12407, 2025 | | 2025 |
| The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution F Sifei Luan, Z Mao, R Yifeng Wang, C Lin, A Kamsetty, H Chen, C Su, ... arXiv e-prints, arXiv: 2501.12407, 2025 | | 2025 |
Dragomir RadevProfessor, Computer Science, Yale Universityyale.edu의 이메일 확인됨