Jialin Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | BTW | Enhancing In-Memory Spatial Indexing with Learned Search. | Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper |
| 2025 | ISCAS | High-Order Associative Learning Based on Memristive Circuits for Efficient Learning. | Shengbo Wang, Xuemeng Li, Jialin Ding, Weihao Ma, Ying Wang, Luigi G. Occhipinti, Arokia Nathan, Shuo Gao |
| 2025 | VLDB | TailorSQL: A NL2SQL System Tailored for Your Query Workload. | Kapil Vaidya, Jialin Ding, Sebastian Kosak, David Kernert, Chuan Lei, Xiao Qin, Abhinav Tripathy, Ramesh Balan, Balakrishnan Narayanaswamy, Tim Kraska |
| 2024 | SIGMOD | Automated Multidimensional Data Layouts in Amazon Redshift. | Jialin Ding, Matt Abrams, Sanghita Bandyopadhyay, Luciano Di Palma, Yanzhu Ji, Davide Pagano, Gopal Paliwal, Panos Parchas, Pascal Pfeil, Orestis Polychroniou, Gaurav Saxena, Aamer Shah, Amina Voloder, Sherry Xiao, Davis Zhang, Tim Kraska |
| 2023 | ICML | Distribution Free Domain Generalization. | Peifeng Tong, Wu Su, He Li, Jialin Ding, Zhan Haoxiang, Song Xi Chen |
| 2022 | CIDR | Self-Organizing Data Containers. | Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul |
| 2021 | SIGMOD | Instance-Optimized Data Layouts for Cloud Analytics Workloads. | Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska |
| 2020 | SIGMOD | ALEX: An Updatable Adaptive Learned Index. | Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska |
| 2020 | SIGMOD | Learning Multi-Dimensional Indexes. | Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska |
| 2020 | VLDB | The Case for Learned Spatial Indexes. | Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper |