高清无码

Jiaoyi Zhang

Junyi Zhao

Yihao Liu

Hengrui Wang

Xinyu Zeng

Jiansheng Qiu

Yiming Qiao

Yipeng Liu

Yulong Hui

Kai Su

Jiahong Shen

Ruijun Meng (incoming)

Weitao Wan (M.S. w/ Mingyu Gao)

Fangzhou Yuan (M.S.)

Jiaxin Wang (M.S. incoming)

Debunking the Myth of Join Ordering: Toward Robust SQL Analytics

Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'25), To Appear.

Rethinking The Compaction Policies in LSM-trees

Hengrui Wang, Jiansheng Qiu, Fangzhou Yuan, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'25), To Appear.

Intra-Query Runtime Elasticity for Cloud-Native Data Analysis

Xukang Zhang, Huanchen Zhang, and Xiaofeng Meng

Proceedings of the ACM on Management of Data (SIGMOD'25), To Appear.

Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store

Jiaoyi Zhang, Liqiang Peng, Mo Sha, Weiran Liu, Xiang Li, Sheng Wang, Feifei Li, Mingyu Gao, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'25), To Appear.

Data Chunk Compaction in Vectorized Execution

Yiming Qiao and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'25), 3(1): Article 26, 25 pages.

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation

Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, and Yi Wu

Proceedings of the Eighth Conference on Machine Learning and Systems (MLSys'25), May 2025. CODE

Towards Functional Decomposition of Storage Formats

Martin Prammer, Xinyu Zeng, Ruijun Meng, Wes McKinney, Huanchen Zhang, Andrew Pavlo, and Jignesh M. Patel

Proceedings of the 2025 Conference on Innovative Data Systems Research (CIDR'25), January 2025.

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis

Yulong Hui, Yao Lu, and Huanchen Zhang

Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing (NeurIPS'24), December 2024. CODE

Cloud-Native Databases: A Survey

Haowen Dong, Chao Zhang, Guoliang Li, and Huanchen Zhang

IEEE Transactions on Knowledge and Data Engineering (TKDE'24), 36(12), pp. 7772-7791.

Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing

Yiming Qiao, Yihan Gao, and Huanchen Zhang

Proceedings of the VLDB Endowment (VLDB'24), 17(10), pp. 2528-2540. CODE

An Empirical Evaluation of Columnar Storage Formats

Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, and Huanchen Zhang

Proceedings of the VLDB Endowment (VLDB'24), 17(2), pp. 148-161. CODE

NULLS!: Revisiting Null Representation in Modern Columnar Formats

Xinyu Zeng, Ruijun Meng, Andrew Pavlo, Wes McKinney, and Huanchen Zhang

Proceedings of the 20th International Workshop on Data Management on New Hardware (DaMoN'24), June 2024. CODE

Making In-Memory Learned Indexes Efficient on Disk

Jiaoyi Zhang, Kai Su, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'24), 2(3): Article 151, 26 pages. CODE

GRF: A Global Range Filter for LSM-Trees with Shape Encoding

Hengrui Wang, Te Guo, Junzhao Yang, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'24), 2(3): Article 141, 27 pages.

PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware

Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao

Proceedings of the ACM on Management of Data (SIGMOD'24), 2(3): Article 161, 25 pages.

LeCo: Lightweight Compression via Learning Serial Correlations

Yihao Liu, Xinyu Zeng, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'24), 2(1): Article 65, 28 pages. CODE

SALI: A Scalable Adaptive Learned Index Framework based on Probability Models

Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, and Anqun Pan

Proceedings of the ACM on Management of Data (SIGMOD'24), 1(4): Article 258, 25 pages.

Beyond Bloom: A Tutorial on Future Feature-Rich Filters

Prashant Pandey, Martín Farach-Colton, Niv Dayan, and Huanchen Zhang

Proceedings of the ACM on Management of Data (SIGMOD'24) Tutorial, June 2024.

Cost-Intelligent Data Analytics in the Cloud

Huanchen Zhang, Yihao Liu, Jiaqi Yan

Proceedings of the 2024 Conference on Innovative Data Systems Research (CIDR'24), January 2024. SLIDES

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, and Yi Wu

Proceedings of the Twelfth International Conference on Learning Representations (ICLR'24), May 2024. CODE

AdaCom: Adaptive Compression For Databases

Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, and Alfons Kemper

Proceedings of the 27th International Conference on Extending Database Technology (EDBT'24), March 2024.

G-Learned Index: Enabling Efficient Learned Index on GPU

Jiesong Liu, Feng Zhang, Lv Lu, Chang Qi, Xiaoguang Guo, Dong Deng, Guoliang Li, Huanchen Zhang, Jidong Zhai,

Hechen Zhang, Yuxing Chen, Anqun Pan, Xiaoyong Du

IEEE Transactions on Parallel and Distributed Systems (TPDS'24), 35(6), pp. 795-812.

Compressed Data Direct Computing for Databases

Weitao Wan, Feng Zhang Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Chai, Huanchen Zhang, Wei Lu,

Yuxing Chen, Haixiang Li, Anqun Pan, and Xiaoyong Du

IEEE Transactions on Knowledge and Data Engineering (TKDE'23), 36(5), pp. 1902-1918.

Efficient Query Re-optimization with Judicious Subquery Selections

Junyi Zhao, Huanchen Zhang, and Yihan Gao

Proceedings of the ACM on Management of Data (SIGMOD'23), 1(2), pp. 1-26. CODE

When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories

Ke Wang, Guanqun Yang, YiWei Li, Huanchen Zhang, and Mingyu Gao

Proceedings of the ACM on Management of Data (SIGMOD'23), 1(1), pp. 1-26. CODE

CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression

Zheng Chen, Feng Zhang, JiaWei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, and Xiaoyong Du

Proceedings of the ACM on Management of Data (SIGMOD'23), 1(1), pp. 1-31.

Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases

Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, and Xiangyao Yu

Proceedings of the VLDB Endowment (VLDB'23), 16(6), pp. 1235-1248. CODE

REncoder: A Space-Time Efficient Range Filter with Local Encoder

Wang, Ziwei, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, and Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE'23). CODE

Adaptive Hybrid Indexes

Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, and Alfons Kemper

Proceedings of the 2022 International Conference on Management of Data (SIGMOD'22), June 2022, pp. 1626-1639.

Proteus: A Self-Designing Range Filter

Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher

Proceedings of the 2022 International Conference on Management of Data (SIGMOD'22), June 2022, pp. 1670-1684. CODE

Succinct Range Filters

Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo

Communications of the ACM (CACM). 4 (April 2021): 166-173.

Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in

Database Management Systems

Ling Zhang, Matthew Butrovich, Tianyu Li, Yash Nannapanei, Andrew Pavlo, John Rollinson, Huanchen Zhang

Proceedings of the Conference on Innovative Data Systems Research (CIDR'21), Jan. 2021.

Memory-Efficient Search Trees for Database Management Systems

2021 SIGMOD Jim Gray Dissertation Award

Ph.D. Dissertation, February 2020 SLIDES VIDEO

Order-Preserving Key Compression for In-Memory Search Trees

Huanchen Zhang, Lily Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo

Proceedings of the 2020 International Conference on Management of Data (SIGMOD'20), June 2020.

ARXIV CODE SLIDES VIDEO

Succinct Range Filters

Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo

ACM Transactions on Database Systems (TODS). 45.2 (2020): 1-31.

Succinct Range Filters

Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo

ACM SIGMOD Record. 48.1 (2019): 78-85.

SuRF: Practical Range Query Filtering with Fast Succinct Tries

Best Paper Award

Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo

Proceedings of the 2018 International Conference on Management of Data (SIGMOD'18), June 2018, pp. 323–336.

CODE DEMO SLIDES VIDEO

Building a Bw-Tree Takes More Than Just Buzz Words.

Ziqi Wang, Andrew Pavlo, Hyeontaek Lim, Viktor Leis, Huanchen Zhang, Michael Kaminsky, and David G. Andersen

Proceedings of the 2018 International Conference on Management of Data (SIGMOD'18), June 2018, pp. 473-488. CODE

Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes

Huanchen Zhang, David G. Andersen, Andrew Pavlo, Michael Kaminsky, Lin Ma, and Rui Shen

Proceedings of the 2016 International Conference on Management of Data (SIGMOD'16), June 2016, pp. 1567–1581. SLIDES

I teach Introduction to Programming (30470332-0) in fall and Database Systems (40470414-0) in spring.

SIGMOD Program Committee -- 2026 2023 2022 2021 2020

VLDB Program Committee -- 2026 2025 2024 2023

ICDE Program Committee -- 2022

Jim Gray Award Committee -- 2024 2023 2022

DaMoN Program Committee -- 2025 2024

AIDB Program Committee -- 2021

APSys Program Committee -- 2025