Huanchen Zhang

79 papers A* 4A 5B 2C 1Journal 51Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
ByteHouse: A Cloud-Native OLAP Engine with Incremental Computation and Multi-Modal Retrieval.
CoRR
Yuxing Han, Yu Lin, Yifeng Dong, Xuanhe Zhou, Xindong Peng, Xinhui Tian, Zhiyuan You, Yingzhong Guo, Xi Chen, Weiping Qu, Tao Meng, Dayue Gao, Haoyu Wang, Liuxi Wei, Huanchen Zhang, Fan Wu
2026 J jnl
Concurrency Control as a Service.
CoRR
Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu
2026 A conf
Declarative Memory Services.
CIDR
Jeronimo Castrillon, Jana Giceva, Yu Hua, Kimberly Keeton, Akhil Shekar, Kevin Skadron, Tianzheng Wang, Huanchen Zhang
2026 J jnl
Enabling Tile-Based Direct Query on Adaptively Compressed Data With GPU Acceleration.
IEEE Trans. Parallel Distributed Syst.
Yu Zhang, Feng Zhang, Yani Liu, Huanchen Zhang, Jidong Zhai, Wenchao Zhou, Xiaoyong Du
2025 A* conf
ANSMET: Approximate Nearest Neighbor Search with Near-Memory Processing and Hybrid Early Termination.
ISCA
Yiwei Li, Yuxin Jin, Boyu Tian, Huanchen Zhang, Mingyu Gao
2025 J jnl
Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity.
Proc. VLDB Endow.
Xukang Zhang, Huanchen Zhang, Xiaofeng Meng
2025 J jnl
Automated Discovery of Test Oracles for Database Management Systems Using LLMs.
CoRR
Qiuyang Mang, Runyuan He, Suyang Zhong, Xiaoxuan Liu, Huanchen Zhang, Alvin Cheung
2025 J jnl
Concurrency Control as a Service.
Proc. VLDB Endow.
Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu
2025 J jnl
Data Chunk Compaction in Vectorized Execution.
Proc. ACM Manag. Data
Yiming Qiao, Huanchen Zhang
2025 J jnl
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics.
CoRR
Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, Huanchen Zhang
2025 J jnl
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics.
Proc. ACM Manag. Data
Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, Huanchen Zhang
2025 J jnl
F3: The Open-Source Data File Format for the Future.
Proc. ACM Manag. Data
Xinyu Zeng, Ruijun Meng, Martin Prammer, Wes McKinney, Jignesh M. Patel, Andrew Pavlo, Huanchen Zhang
2025 J jnl
Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store.
CoRR
Jiaoyi Zhang, Liqiang Peng, Mo Sha, Weiran Liu, Xiang Li, Sheng Wang, Feifei Li, Mingyu Gao, Huanchen Zhang
2025 J jnl
Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store.
Proc. ACM Manag. Data
Jiaoyi Zhang, Liqiang Peng, Mo Sha, Weiran Liu, Xiang Li, Sheng Wang, Feifei Li, Mingyu Gao, Huanchen Zhang
2025 J jnl
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs.
Proc. VLDB Endow.
Xiaoyu Fan, Kun Chen, Jiping Yu, Xiaowei Zhu, Yunyi Chen, Huanchen Zhang, Wei Xue
2025 — conf
HotRAP: Hot Record Retention and Promotion for LSM-trees with Tiered Storage.
USENIX ATC
Jiansheng Qiu, Fangzhou Yuan, Mingyu Gao, Huanchen Zhang
2025 J jnl
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval.
CoRR
Yulong Hui, Chao Chen, Zhihang Fu, Yihao Liu, Jieping Ye, Huanchen Zhang
2025 J jnl
Intra-Query Runtime Elasticity for Cloud-Native Data Analysis.
CoRR
Xukang Zhang, Huanchen Zhang, Xiaofeng Meng
2025 J jnl
Intra-Query Runtime Elasticity for Cloud-Native Data Analysis.
Proc. ACM Manag. Data
Xukang Zhang, Huanchen Zhang, Xiaofeng Meng
2025 J jnl
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing.
CoRR
Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang
2025 — conf
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering.
EMNLP (Findings)
Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang
2025 — conf
PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format.
ASPLOS (3)
Yilong Zhao, Mingyu Gao, Huanchen Zhang, Fangxin Liu, Gongye Chen, He Xian, Haibing Guan, Li Jiang
2025 J jnl
PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format.
CoRR
Yilong Zhao, Mingyu Gao, Huanchen Zhang, Fangxin Liu, Gongye Chen, He Xian, Haibing Guan, Li Jiang
2025 — conf
ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation.
MLSys
Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu
2025 J jnl
Rethinking The Compaction Policies in LSM-trees.
Proc. ACM Manag. Data
Hengrui Wang, Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang
2025 J jnl
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections.
CoRR
Hengrui Zhang, Yulong Hui, Yihao Liu, Huanchen Zhang
2025 J jnl
Selective Late Materialization in Modern Analytical Databases.
Proc. VLDB Endow.
Yihao Liu, Shaoxuan Tang, Yulong Hui, Hangrui Zhou, Huanchen Zhang
2025 A conf
Towards Functional Decomposition of Storage Formats.
CIDR
Martin Prammer, Xinyu Zeng, Ruijun Meng, Wes McKinney, Huanchen Zhang, Andrew Pavlo, Jignesh M. Patel
2025 — conf
TwinStore: Secure Key-Value Stores Made Faster with Hybrid Trusted/Untrusted Storage.
APPT
Xiang Li, Huanchen Zhang, Mingyu Gao
2024 B conf
Adaptive Compression for Databases.
EDBT
Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper
2024 — conf
Beyond Bloom: A Tutorial on Future Feature-Rich Filters.
SIGMOD Conference Companion
Prashant Pandey, Martín Farach-Colton, Niv Dayan, Huanchen Zhang
2024 J jnl
Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing.
CoRR
Yiming Qiao, Yihan Gao, Huanchen Zhang
2024 J jnl
Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing.
Proc. VLDB Endow.
Yiming Qiao, Yihan Gao, Huanchen Zhang
2024 J jnl
Cloud-Native Databases: A Survey.
IEEE Trans. Knowl. Data Eng.
Haowen Dong, Chao Zhang, Guoliang Li, Huanchen Zhang
2024 J jnl
Compressed Data Direct Computing for Databases.
IEEE Trans. Knowl. Data Eng.
Weitao Wan, Feng Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Yunpeng Chai, Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, Xiaoyong Du
2024 J jnl
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.
CoRR
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
2024 A conf
Cost-Intelligent Data Analytics in the Cloud.
CIDR
Huanchen Zhang, Yihao Liu, Jiaqi Yan
2024 J jnl
G-Learned Index: Enabling Efficient Learned Index on GPU.
IEEE Trans. Parallel Distributed Syst.
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
2024 J jnl
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs.
CoRR
Xiaoyu Fan, Kun Chen, Jiping Yu, Xiaowei Zhu, Yunyi Chen, Huanchen Zhang, Wei Xu
2024 J jnl
GRF: A Global Range Filter for LSM-Trees with Shape Encoding.
Proc. ACM Manag. Data
Hengrui Wang, Te Guo, Junzhao Yang, Huanchen Zhang
2024 J jnl
HotRAP: Hot Record Retention and Promotion for LSM-trees with tiered storage.
CoRR
Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang
2024 J jnl
LeCo: Lightweight Compression via Learning Serial Correlations.
Proc. ACM Manag. Data
Yihao Liu, Xinyu Zeng, Huanchen Zhang
2024 J jnl
Making In-Memory Learned Indexes Efficient on Disk.
Proc. ACM Manag. Data
Jiaoyi Zhang, Kai Su, Huanchen Zhang
2024 C conf
NULLS!: Revisiting Null Representation in Modern Columnar Formats.
DaMoN
Xinyu Zeng, Ruijun Meng, Andrew Pavlo, Wes McKinney, Huanchen Zhang
2024 J jnl
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware.
Proc. ACM Manag. Data
Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao
2024 J jnl
ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation.
CoRR
Zhiyu Mei, Wei Fu, Kaiwei Li, Guangju Wang, Huanchen Zhang, Yi Wu
2024 — conf
Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'.
SIGMOD/PODS
Mo Sha, Kaiqiang Yu, Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao
2024 A* conf
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores.
ICLR
Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
2024 A* conf
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis.
NeurIPS
Yulong Hui, Yao Lu, Huanchen Zhang
2024 J jnl
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis.
CoRR
Yulong Hui, Yao Lu, Huanchen Zhang
2023 J jnl
An Empirical Evaluation of Columnar Storage Formats.
CoRR
Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang
2023 J jnl
An Empirical Evaluation of Columnar Storage Formats.
Proc. VLDB Endow.
Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang
2023 J jnl
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases.
Proc. VLDB Endow.
Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, Xiangyao Yu
2023 J jnl
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression.
Proc. ACM Manag. Data
Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du
2023 J jnl
Cost-Intelligent Data Analytics in the Cloud.
CoRR
Huanchen Zhang, Yihao Liu, Jiaqi Yan
2023 J jnl
Efficient Query Re-optimization with Judicious Subquery Selections.
Proc. ACM Manag. Data
Junyi Zhao, Huanchen Zhang, Yihan Gao
2023 J jnl
LeCo: Lightweight Compression via Learning Serial Correlations.
CoRR
Yihao Liu, Xinyu Zeng, Huanchen Zhang
2023 A* conf
REncoder: A Space-Time Efficient Range Filter with Local Encoder.
ICDE
Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui
2023 J jnl
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models.
CoRR
Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan
2023 J jnl
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models.
Proc. ACM Manag. Data
Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan
2023 J jnl
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores.
CoRR
Zhiyu Mei, Wei Fu, Guangju Wang, Huanchen Zhang, Yi Wu
2023 J jnl
When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories.
Proc. ACM Manag. Data
Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao
2022 — conf
Adaptive Hybrid Indexes.
SIGMOD Conference
Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper
2022 — conf
Proteus: A Self-Designing Range Filter.
SIGMOD Conference
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
2022 J jnl
Proteus: A Self-Designing Range Filter.
CoRR
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
2021 A conf
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems.
CIDR
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
2021 B conf
Fast GLCM-based Intra Block Partition for VVC.
DCC
Huanchen Zhang, Li Yu, Tiansong Li, Hongkui Wang
2021 — conf
Memory-Efficient Search Trees for Database Management Systems.
SIGMOD Conference
Huanchen Zhang
2021 J jnl
Succinct range filters.
Commun. ACM
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
2020 — conf
Order-Preserving Key Compression for In-Memory Search Trees.
SIGMOD Conference
Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
2020 J jnl
Order-Preserving Key Compression for In-Memory Search Trees.
CoRR
Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
2020 J jnl
Succinct Range Filters.
ACM Trans. Database Syst.
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
2019 J jnl
Succinct Range Filters.
SIGMOD Rec.
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, Andrew Pavlo
2019 A conf
The End of the x86 Dominance in Databases?
CIDR
Huanchen Zhang
2018 — conf
Building a Bw-Tree Takes More Than Just Buzz Words.
SIGMOD Conference
Ziqi Wang, Andrew Pavlo, Hyeontaek Lim, Viktor Leis, Huanchen Zhang, Michael Kaminsky, David G. Andersen
2018 — conf
SuRF: Practical Range Query Filtering with Fast Succinct Tries.
SIGMOD Conference
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
2016 — conf
Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes.
SIGMOD Conference
Huanchen Zhang, David G. Andersen, Andrew Pavlo, Michael Kaminsky, Lin Ma, Rui Shen
2011 — conf
RoboGene: An Image Retrieval System with Multi-Level Log-Based Relevance Feedback Scheme.
MMM (2)
Huanchen Zhang, Haojie Li, Shichao Dong, Weifeng Sun
2010 — conf
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval.
ADMA (2)
Huanchen Zhang, Weifeng Sun, Shichao Dong, Long Chen, Chuang Lin