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Xi Liang 0002
Person information
- affiliation: University of Chicago, IL, USA
Other persons with the same name
- Xi Liang — disambiguation page
- Xi Liang 0001 — IBM Research Australia (and 1 more)
- Xi Liang 0003 — Beijing University of Technology, Beijing, China
- Xi Liang 0004 — Zhejiang University of Water Resources and Electric Power, Hangzhou, China
- Xi Liang 0005 — Harbin Institute of Technology, Harbin, China
- Xi Liang 0006 — National Institute of Informatics, Japan (and 1 more)
- Xi Liang 0007 — Chongqing Jiaotong University, Chongqing, China
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2020 – today
- 2023
- [c8]Xi Liang, Stavros Sintos, Sanjay Krishnan:
JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. ICDE 2023: 572-584 - 2022
- [c7]Ted Shaowang, Xi Liang, Sanjay Krishnan:
Sensor fusion on the edge: initial experiments in the EdgeServe system. BiDEDE@SIGMOD 2022: 8:1-8:7 - [i5]Xi Liang, Stavros Sintos, Sanjay Krishnan:
JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. CoRR abs/2204.09235 (2022) - 2021
- [c6]Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
CIAO: An Optimization Framework for Client-Assisted Data Loading. ICDE 2021: 1979-1984 - [c5]Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan:
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. SIGMOD Conference 2021: 1129-1141 - [i4]Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
CIAO: An Optimization Framework for Client-Assisted Data Loading. CoRR abs/2102.11793 (2021) - [i3]Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan:
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. CoRR abs/2103.15994 (2021) - 2020
- [c4]Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
CrocodileDB: Efficient Database Execution through Intelligent Deferment. CIDR 2020 - [c3]Xi Liang, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. SIGMOD Conference 2020: 285-295 - [i2]Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. CoRR abs/2004.04139 (2020)
2010 – 2019
- 2019
- [i1]Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
Opportunistic View Materialization with Deep Reinforcement Learning. CoRR abs/1903.01363 (2019) - 2017
- [c2]Xiaoan Ding, Xi Liang, Yanjing Li:
Cross-layer refresh mitigation for efficient and reliable DRAM systems: A comparative study. ITC 2017: 1-10 - 2015
- [j1]Xi Liang, Ting-Han Wei, I-Chen Wu:
Solving Hex Openings Using Job-Level UCT Search. J. Int. Comput. Games Assoc. 38(3): 149-164 (2015) - [c1]Xi Liang, Tinghan Wei, I-Chen Wu:
Job-level UCT search for solving Hex. CIG 2015: 222-229
Coauthor Index
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