Huanchen Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 43

Top Topics

Online Transaction Processing

Index Structure

Top Venues

Proc. ACM Manag. Data

SIGMOD Conference

Publications

Yulong Hui, Yao Lu, Huanchen Zhang
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis. CoRR (2024)
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) (2024)
Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper
Adaptive Compression for Databases. EDBT (2024)
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) (2024)
Xinyu Zeng, Ruijun Meng, Andrew Pavlo, Wes McKinney, Huanchen Zhang
NULLS!: Revisiting Null Representation in Modern Columnar Formats. DaMoN (2024)
Huanchen Zhang, Yihao Liu, Jiaqi Yan
Cost-Intelligent Data Analytics in the Cloud. CIDR (2024)
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) (2024)
Prashant Pandey, Martín Farach-Colton, Niv Dayan, Huanchen Zhang
Beyond Bloom: A Tutorial on Future Feature-Rich Filters. SIGMOD Conference Companion (2024)
Yihao Liu, Xinyu Zeng, Huanchen Zhang
LeCo: Lightweight Compression via Learning Serial Correlations. Proc. ACM Manag. Data 2 (1) (2024)
Jiaoyi Zhang, Kai Su, Huanchen Zhang
Making In-Memory Learned Indexes Efficient on Disk. Proc. ACM Manag. Data 2 (3) (2024)
Yiming Qiao, Yihan Gao, Huanchen Zhang
Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing. CoRR (2024)
Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. ICLR (2024)
Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu
ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation. CoRR (2024)
Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang
HotRAP: Hot Record Retention and Promotion for LSM-trees with tiered storage. CoRR (2024)
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 (2024)
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) (2024)
Yihao Liu, Xinyu Zeng, Huanchen Zhang
LeCo: Lightweight Compression via Learning Serial Correlations. CoRR (2023)
Junyi Zhao, Huanchen Zhang, Yihan Gao
Efficient Query Re-optimization with Judicious Subquery Selections. Proc. ACM Manag. Data 1 (2) (2023)
Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang
An Empirical Evaluation of Columnar Storage Formats. Proc. VLDB Endow. 17 (2) (2023)
Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores. CoRR (2023)
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)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Huanchen Zhang, Yihao Liu, Jiaqi Yan
Cost-Intelligent Data Analytics in the Cloud. CoRR (2023)
Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang
An Empirical Evaluation of Columnar Storage Formats. CoRR (2023)
Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper
Adaptive Hybrid Indexes. SIGMOD Conference (2022)
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
Proteus: A Self-Designing Range Filter. SIGMOD Conference (2022)
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
Proteus: A Self-Designing Range Filter. CoRR (2022)
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct range filters. Commun. ACM 64 (4) (2021)
Huanchen Zhang
Memory-Efficient Search Trees for Database Management Systems. SIGMOD Conference (2021)
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)
Huanchen Zhang, Li Yu, Tiansong Li, Hongkui Wang
Fast GLCM-based Intra Block Partition for VVC. DCC (2021)
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. ACM Trans. Database Syst. 45 (2) (2020)
Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Order-Preserving Key Compression for In-Memory Search Trees. CoRR (2020)
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)
Huanchen Zhang
The End of the x86 Dominance in Databases? CIDR (2019)
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. SIGMOD Rec. 48 (1) (2019)
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)
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)
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)
Huanchen Zhang, Haojie Li, Shichao Dong, Weifeng Sun
RoboGene: An Image Retrieval System with Multi-Level Log-Based Relevance Feedback Scheme. MMM (2) (2011)
Huanchen Zhang, Weifeng Sun, Shichao Dong, Long Chen, Chuang Lin
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval. ADMA (2) (2010)