| SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning I Trummer, J Wang, D Maram, S Moseley, S Jo, J Antonakakis SIGMOD 2019, 1153-1170, 2019 | 166 | 2019 |
| Pretraining without attention J Wang, JN Yan, A Gu, AM Rush EMNLP 2023, 2022 | 57 | 2022 |
| UDO: Universal Database Optimization using Reinforcement Learning J Wang, I Trummer, D Basu VLDB 2021, 3402–3414, 2021 | 47 | 2021 |
| Mambabyte: Token-free selective state space model J Wang, T Gangavarapu, JN Yan, AM Rush CoLM (Conference on Language Modeling), 2024, 2024 | 42 | 2024 |
| Budget-aware Index Tuning with Reinforcement Learning W Wu, C Wang, T Siddiqui, J Wang, V Narasayya, S Chaudhuri, ... SIGMOD 2022, 1528-1541, 2022 | 37 | 2022 |
| The Mamba in the Llama: Distilling and Accelerating Hybrid Models J Wang, D Paliotta, A May, AM Rush, T Dao NeurIPS (Advances in Neural Information Processing Systems), 2024, 2024 | 18* | 2024 |
| Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning J Wang, I Trummer, D Basu SIGMOD 2021, 2794-2797, 2021 | 16 | 2021 |
| ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning J Wang, I Trummer, A Kara, D Olteanu VLDB 2023, 2023 | 8 | 2023 |
| Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback J Wang, D Basu, I Trummer AAAI 2022, 10381-10390, 2022 | 6 | 2022 |
| JoinGym: An Efficient Join Order Selection Environment J Wang*, K Wang*, Y Li, N Kallus, I Trummer, W Sun RLC/RLJ (Reinforcement Learning Journal), 2024, 2024 | 5* | 2024 |
| UDO: Universal Database Optimization using Reinforcement Learning (extend) J Wang, I Trummer, D Basu VLDB 10 (3484224.3484236), 2021 | 3* | 2021 |
| Locking timestamps versus locking objects MK Aguilera*, T David*, R Guerraoui*, J Wang* (alphabetical order) PODC 2018, 367-376, 2018 | 3 | 2018 |
| Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning J Wang, M Gray, I Trummer, A Kara, D Olteanu VLDB 2023, 2023 | 2 | 2023 |
| Entity Disambiguation via Fusion Entity Decoding J Wang, A Mousavi, O Attia, S Potdar, AM Rush, UF Minhas, Y Li NAACL (North American Chapter of the Association for Computational …, 2024 | 1 | 2024 |
| ML and System Approaches for Data Processing Optimization and Long Sequence Modeling J Wang Cornell University, 2024 | | 2024 |
| Distributed Algorithms for Linear MDP J Duan, J Wang, JN Yan, W Yoo | | |
