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ORCIDHuanchen Zhang
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- affiliation: Tsinghua University, China
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2020 – today
- 2024
[j16]Yihao Liu
, Xinyu Zeng, Huanchen Zhang:
LeCo: Lightweight Compression via Learning Serial Correlations. Proc. ACM Manag. Data 2(1): 65:1-65:28 (2024)- [j15]Hengrui Wang, Te Guo, Junzhao Yang, Huanchen Zhang:
GRF: A Global Range Filter for LSM-Trees with Shape Encoding. Proc. ACM Manag. Data 2(3): 141 (2024) - [j14]Jiaoyi Zhang, Kai Su, Huanchen Zhang:
Making In-Memory Learned Indexes Efficient on Disk. Proc. ACM Manag. Data 2(3): 151 (2024) - [j13]Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao:
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware. Proc. ACM Manag. Data 2(3): 161 (2024) - [j12]Yiming Qiao, Yihan Gao, Huanchen Zhang:
Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing. Proc. VLDB Endow. 17(10): 2528-2540 (2024) - [j11]Weitao Wan, Feng Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Yunpeng Chai, Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, Xiaoyong Du:
Compressed Data Direct Computing for Databases. IEEE Trans. Knowl. Data Eng. 36(5): 1902-1918 (2024) - [j10]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:
G-Learned Index: Enabling Efficient Learned Index on GPU. IEEE Trans. Parallel Distributed Syst. 35(6): 795-812 (2024) - [c18]Huanchen Zhang, Yihao Liu, Jiaqi Yan:
Cost-Intelligent Data Analytics in the Cloud. CIDR 2024 - [c17]Xinyu Zeng, Ruijun Meng, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
NULLS!: Revisiting Null Representation in Modern Columnar Formats. DaMoN 2024: 10:1-10:10 - [c16]Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Compression for Databases. EDBT 2024: 143-149 - [c15]Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu:
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. ICLR 2024 - [c14]Prashant Pandey, Martín Farach-Colton, Niv Dayan, Huanchen Zhang:
Beyond Bloom: A Tutorial on Future Feature-Rich Filters. SIGMOD Conference Companion 2024: 636-644 - [i13]Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo:
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR abs/2401.12230 (2024) - [i12]Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang:
HotRAP: Hot Record Retention and Promotion for LSM-trees with tiered storage. CoRR abs/2402.02070 (2024) - [i11]Yiming Qiao, Yihan Gao, Huanchen Zhang:
Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing. CoRR abs/2406.13107 (2024) - [i10]Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu:
ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation. CoRR abs/2406.14088 (2024) - [i9]Yulong Hui, Yao Lu, Huanchen Zhang:
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis. CoRR abs/2406.15187 (2024) - [i8]Xiaoyu Fan, Kun Chen, Jiping Yu, Xiaowei Zhu, Yunyi Chen, Huanchen Zhang, Wei Xu:
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs. CoRR abs/2410.02234 (2024) - 2023
- [j9]Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du:
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. Proc. ACM Manag. Data 1(1): 4:1-4:31 (2023) - [j8]Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao:
When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories. Proc. ACM Manag. Data 1(1): 105:1-105:26 (2023) - [j7]Junyi Zhao, Huanchen Zhang, Yihan Gao:
Efficient Query Re-optimization with Judicious Subquery Selections. Proc. ACM Manag. Data 1(2): 185:1-185:26 (2023) - [j6]Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan:
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. Proc. ACM Manag. Data 1(4): 258:1-258:25 (2023) - [j5]Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, Xiangyao Yu:
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases. Proc. VLDB Endow. 16(6): 1235-1248 (2023) - [j4]Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
An Empirical Evaluation of Columnar Storage Formats. Proc. VLDB Endow. 17(2): 148-161 (2023) - [c13]Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui:
REncoder: A Space-Time Efficient Range Filter with Local Encoder. ICDE 2023: 2036-2049 - [i7]Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
An Empirical Evaluation of Columnar Storage Formats. CoRR abs/2304.05028 (2023) - [i6]Yihao Liu, Xinyu Zeng, Huanchen Zhang:
LeCo: Lightweight Compression via Learning Serial Correlations. CoRR abs/2306.15374 (2023) - [i5]Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu:
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. CoRR abs/2306.16688 (2023) - [i4]Huanchen Zhang, Yihao Liu, Jiaqi Yan:
Cost-Intelligent Data Analytics in the Cloud. CoRR abs/2308.09569 (2023) - [i3]Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan:
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. CoRR abs/2308.15012 (2023) - 2022
- [c12]Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Hybrid Indexes. SIGMOD Conference 2022: 1626-1639 - [c11]Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher:
Proteus: A Self-Designing Range Filter. SIGMOD Conference 2022: 1670-1684 - [i2]Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher:
Proteus: A Self-Designing Range Filter. CoRR abs/2207.01503 (2022) - 2021
- [j3]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Succinct range filters. Commun. ACM 64(4): 166-173 (2021) - [c10]Ling Zhang, Matthew Butrovich, Tianyu Li, Andrew Pavlo, Yash Nannapaneni, John Rollinson, Huanchen Zhang, Ambarish Balakumar, Daniel Biales, Ziqi Dong, Emmanuel J. Eppinger, Jordi E. Gonzalez, Wan Shen Lim, Jianqiao Liu, Lin Ma, Prashanth Menon, Soumil Mukherjee, Tanuj Nayak, Amadou Ngom, Dong Niu, Deepayan Patra, Poojita Raj, Stephanie Wang, Wuwen Wang, Yao Yu, William Zhang:
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems. CIDR 2021 - [c9]Huanchen Zhang, Li Yu, Tiansong Li, Hongkui Wang:
Fast GLCM-based Intra Block Partition for VVC. DCC 2021: 382 - [c8]Huanchen Zhang:
Memory-Efficient Search Trees for Database Management Systems. SIGMOD Conference 2021: 9 - 2020
- [j2]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Succinct Range Filters. ACM Trans. Database Syst. 45(2): 5:1-5:31 (2020) - [c7]Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Order-Preserving Key Compression for In-Memory Search Trees. SIGMOD Conference 2020: 1601-1615 - [i1]Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Order-Preserving Key Compression for In-Memory Search Trees. CoRR abs/2003.02391 (2020)
2010 – 2019
- 2019
- [j1]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, Andrew Pavlo:
Succinct Range Filters. SIGMOD Rec. 48(1): 78-85 (2019) - [c6]Huanchen Zhang:
The End of the x86 Dominance in Databases? CIDR 2019 - 2018
- [c5]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
SuRF: Practical Range Query Filtering with Fast Succinct Tries. SIGMOD Conference 2018: 323-336 - [c4]Ziqi Wang, Andrew Pavlo, Hyeontaek Lim, Viktor Leis, Huanchen Zhang, Michael Kaminsky, David G. Andersen:
Building a Bw-Tree Takes More Than Just Buzz Words. SIGMOD Conference 2018: 473-488 - 2016
- [c3]Huanchen Zhang, David G. Andersen, Andrew Pavlo, Michael Kaminsky, Lin Ma, Rui Shen:
Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes. SIGMOD Conference 2016: 1567-1581 - 2011
- [c2]Huanchen Zhang, Haojie Li, Shichao Dong, Weifeng Sun:
RoboGene: An Image Retrieval System with Multi-Level Log-Based Relevance Feedback Scheme. MMM (2) 2011: 476-478 - 2010
- [c1]Huanchen Zhang, Weifeng Sun, Shichao Dong, Long Chen, Chuang Lin:
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval. ADMA (2) 2010: 545-552
Coauthor Index
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