Ying Sheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
14
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPLOS | MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. | Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica |
| 2025 | ICLR | SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. | Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal |
| 2024 | ICLR | LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. | Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang |
| 2024 | ICML | Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. | Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica |
| 2024 | KDD | Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. | Ying Sheng, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan |
| 2024 | OSDI | Fairness in Serving Large Language Models. | Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica |
| 2023 | ICML | FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang |
| 2023 | OSDI | AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. | Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica |
| 2023 | SOSP | Efficient Memory Management for Large Language Model Serving with PagedAttention. | Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica |
| 2022 | CADE | Reasoning About Vectors Using an SMT Theory of Sequences. | Ying Sheng, Andres Ntzli, Andrew Reynolds, Yoni Zohar, David L. Dill, Wolfgang Grieskamp, Junkil Park, Shaz Qadeer, Clark W. Barrett, Cesare Tinelli |
| 2022 | WSDM | Learning Transferable Node Representations for Attribute Extraction from Web Documents. | Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata |
| 2022 | TACAS | cvc5: A Versatile and Industrial-Strength SMT Solver. | Haniel Barbosa, Clark W. Barrett, Martin Brain, Gereon Kremer, Hanna Lachnitt, Makai Mann, Abdalrhman Mohamed, Mudathir Mohamed, Aina Niemetz, Andres Ntzli, Alex Ozdemir, Mathias Preiner, Andrew Reynolds, Ying Sheng, Cesare Tinelli, Yoni Zohar |
| 2021 | CADE | Politeness and Stable Infiniteness: Stronger Together. | Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli |
| 2021 | IJCAI | Politeness for the Theory of Algebraic Datatypes (Extended Abstract). | Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett |
| 2020 | CADE | Politeness for the Theory of Algebraic Datatypes. | Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett |
| 2020 | CIDR | Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. | Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork |
| 2020 | KDD | FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. | Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata |
| 2019 | WWW | RiSER: Learning Better Representations for Richly Structured Emails. | Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork |
| 2018 | AAAI | On the Approximation of Nash Equilibria in Sparse Win-Lose Games. | Zhengyang Liu, Ying Sheng |
| 2018 | ICML | Subspace Embedding and Linear Regression with Orlicz Norm. | Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong |
| 2018 | KDD | Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. | Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork |
| 2018 | STOC | Distribution-free junta testing. | Zhengyang Liu, Xi Chen, Rocco A. Servedio, Ying Sheng, Jinyu Xie |