| Deep entity matching with pre-trained language models Y Li, J Li, Y Suhara, AH Doan, WC Tan Proceedings of the VLDB Endowment 14 (1), 50--60, 2020 | 92 | 2020 |
| Reachability and time-based path queries in temporal graphs H Wu, Y Huang, J Cheng, J Li, Y Ke 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 145-156, 2016 | 77 | 2016 |
| Flexps: Flexible parallelism control in parameter server architecture Y Huang, T Jin, Y Wu, Z Cai, X Yan, F Yang, J Li, Y Guo, J Cheng Proceedings of the VLDB Endowment 11 (5), 566-579, 2018 | 64 | 2018 |
| Husky: Towards a more efficient and expressive distributed computing framework F Yang, J Li, J Cheng Proceedings of the VLDB Endowment 9 (5), 420-431, 2016 | 56 | 2016 |
| Norm-ranging LSH for maximum inner product search X Yan, J Li, X Dai, H Chen, J Cheng Neural Information Processing Systems, 2956--2965, 2018 | 37 | 2018 |
| Sato: Contextual semantic type detection in tables D Zhang, Y Suhara, J Li, M Hulsebos, Ç Demiralp, WC Tan Proceedings of the VLDB Endowment 13 (11), 1835--1848, 2019 | 36 | 2019 |
| Lftf: A framework for efficient tensor analytics at scale F Yang, F Shang, Y Huang, J Cheng, J Li, Y Zhao, R Zhao Proceedings of the VLDB Endowment 10 (7), 745-756, 2017 | 26 | 2017 |
| Subjective databases Y Li, AX Feng, J Li, S Mumick, A Halevy, V Li, WC Tan Proceedings of the VLDB Endowment 12 (11), 1330--1343, 2019 | 23 | 2019 |
| A comparison of general-purpose distributed systems for data processing J Li, J Cheng, Y Zhao, F Yang, Y Huang, H Chen, R Zhao 2016 IEEE International Conference on Big Data (Big Data), 378-383, 2016 | 17 | 2016 |
| Deep entity matching: Challenges and opportunities Y Li, J Li, Y Suhara, J Wang, W Hirota, WC Tan Journal of Data and Information Quality (JDIQ) 13 (1), 1-17, 2021 | 15 | 2021 |
| Losha: A general framework for scalable locality sensitive hashing J Li, J Cheng, F Yang, Y Huang, Y Zhao, X Yan, R Zhao Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 11 | 2017 |
| A general and efficient querying method for learning to hash J Li, X Yan, J Zhang, A Xu, J Cheng, J Liu, KKW Ng, T Cheng Proceedings of the 2018 International Conference on Management of Data, 1333 …, 2018 | 10 | 2018 |
| The best of both worlds: Big data programming with both productivity and performance F Yang, Y Huang, Y Zhao, J Li, G Jiang, J Cheng Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 10 | 2017 |
| ExtremeReader: An interactive explorer for customizable and explainable review summarization X Wang, Y Suhara, N Nuno, Y Li, J Li, N Carmeli, S Angelidis, ... Companion Proceedings of the Web Conference 2020, 176-180, 2020 | 9 | 2020 |
| Voyageur: An experiential travel search engine S Evensen, A Feng, A Halevy, J Li, V Li, Y Li, H Liu, G Mihaila, J Morales, ... The World Wide Web Conference, 3511-5, 2019 | 7 | 2019 |
| Deep or simple models for semantic tagging? it depends on your data J Li, Y Li, X Wang, WC Tan Proceedings of the VLDB Endowment 13 (11), 2549--2562, 2020 | 4 | 2020 |
| Constructing Explainable Opinion Graphs from Reviews N Carmeli, X Wang, Y Suhara, S Angelidis, Y Li, J Li, WC Tan Proceedings of the Web Conference 2021, 3419-3431, 2021 | 3 | 2021 |
| Annotating Columns with Pre-trained Language Models Y Suhara, J Li, Y Li, D Zhang, Ç Demiralp, C Chen, WC Tan arXiv preprint arXiv:2104.01785, 2021 | 3 | 2021 |
| Enhancing review comprehension with domain-specific commonsense A Traylor, C Chen, B Golshan, X Wang, Y Li, Y Suhara, J Li, C Demiralp, ... arXiv preprint arXiv:2004.03020, 2020 | 1 | 2020 |
| ExplainIt: Explainable Review Summarization with Opinion Causality Graphs N Carmeli, X Wang, Y Suhara, S Angelidis, Y Li, J Li, WC Tan | 1 | 2020 |
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