paper_name stringlengths 4 421 | paper_url stringlengths 21 200 | paper_authors listlengths 0 125 | paper_abstract stringlengths 0 43.4k | paper_code stringlengths 1 139 | conf stringlengths 6 18 |
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42nd IEEE International Conference on Data Engineering, ICDE 2026, Montreal, QC, Canada, May 4-8, 2026 | https://doi.org/10.1109/ICDE65706.2026 | [] | # | ICDE2026 | |
RISK: Efficiently Processing Rich Spatial-Keyword Queries on Encrypted Geo-Textual Data | https://doi.org/10.1109/ICDE65706.2026.00173 | [
"Zhen Lv",
"Cong Cao",
"Hongwei Huo",
"Jiangtao Cui",
"Yanguo Peng",
"Hui Li",
"Yingfan Liu"
] | Symmetric searchable encryption (SSE) for geotextual data has attracted significant attention. However, existing schemes rely on task-specific, incompatible indices for isolated specific secure queries (e.g., range or $\boldsymbol{k}$-nearest neighbor spatial-keyword queries), limiting practicality due to prohibitive m... | # | ICDE2026 |
RL-Paxos: Relieving the Leader's Burden with Efficient Task Offloading in Distributed Consensus | https://doi.org/10.1109/ICDE65706.2026.00101 | [
"Chenhao Zhang",
"Jinquan Wang",
"Meng Han",
"Bing Wei",
"Xiaojian Liao",
"Limin Xiao",
"Shanchen Pang"
] | Existing state machine replication protocols are typically leader-based, with the leader responsible for all operations, leading to a scalability bottleneck. Despite extensive research efforts to address this issue, alleviating the leader's workload remains a significant challenge. In this paper, we provide an indepth ... | # | ICDE2026 |
Querying Historical $k$-Dense Subgraphs on Temporal Graphs | https://doi.org/10.1109/ICDE65706.2026.00008 | [
"Qi Zhang",
"Yalong Zhang",
"Rong-Hua Li",
"Xu-Cheng Yin",
"Guoren Wang"
] | Historical cohesive subgraph queries in temporal graphs identify dense substructures within snapshots corresponding to given time intervals, gaining attention due to their broad applications. Existing works primarily focus on $k$-core, which fails to consider subgraph density (measured as the ratio of edges to vertices... | # | ICDE2026 |
StreamShield: A Production-Proven Resiliency Solution for Apache Flink at Bytedance | https://doi.org/10.1109/ICDE65706.2026.00272 | [
"Yong Fang",
"Yuxing Han",
"Meng Wang",
"Yifan Zhang",
"Yue Ma",
"Chi Zhang"
] | Distributed Stream Processing Systems (DSPSs) form the backbone of real-time processing and analytics at ByteDance, where Apache Flink powers one of the largest production clusters worldwide. Ensuring resiliency, the ability to withstand and rapidly recover from failures, together with operational stability, which prov... | # | ICDE2026 |
On Graph Rewiring with Motifs: A Find-and-Replace Approach | https://doi.org/10.1109/ICDE65706.2026.00017 | [
"Qihao Wang",
"Hongtai Cao",
"Xiaodong Li",
"Matin Najafi",
"Kevin Chen-Chuan Chang",
"Reynold Cheng"
] | Homophily, which expects that similar nodes should be more likely to be connected, is desired in many graph analytics applications like community detection, node ranking, and node classification. However, real-world graphs may not have high homophily, so some existing works adopt graph rewiring to improve it. Existing ... | # | ICDE2026 |
AGRAG: Advanced Graph-Based Retrieval-Augmented Generation for LLMs | https://doi.org/10.1109/ICDE65706.2026.00110 | [
"Yubo Wang",
"Haoyang Li",
"Fei Teng",
"Lei Chen"
] | Graph-based retrieval-augmented generation (Graph-based RAG) has demonstrated significant potential in enhancing Large Language Models (LLMs) with structured knowledge. However, existing methods face three critical challenges: Inaccurate Graph Construction, caused by LLM hallucination; Poor Reasoning Ability, caused by... | https://github.com/Wyb0627/AGRAG | ICDE2026 |
Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards | https://doi.org/10.1109/ICDE65706.2026.00183 | [
"Thanh Dat Hoang",
"Thanh Trung Huynh",
"Matthias Weidlich",
"Thanh Tam Nguyen",
"Tong Chen",
"Hongzhi Yin",
"Quoc Viet Hung Nguyen"
] | Large language models have driven major advances in Text-to-SQL generation. However, they suffer from high computational cost, long latency, and data privacy concerns, which make them impractical for many real-world applications. A natural alternative is to use small language models (SLMs), which enable efficient and p... | https://github.com/thanhdath/finer-sql | ICDE2026 |
Improving GPU Tensor Query Processing for Resource-Constrained Environments | https://doi.org/10.1109/ICDE65706.2026.00159 | [
"Qian Xu",
"Feng Zhang",
"Shijie Gao",
"Kun Chen",
"Jianhua Wang",
"Zheng Chen",
"Xiaoyong Du"
] | Over the past decade, artificial intelligence (AI) has made remarkable strides, driven by researchers, engineers, and vendors who have relentlessly developed high-performance libraries across heterogeneous hardware and software. Recently, researchers in the database (DB) community have begun to harness this progress by... | # | ICDE2026 |
A Set-Theoretic Approach to Detecting Logic Bugs in DBMS Inner Join Optimizations | https://doi.org/10.1109/ICDE65706.2026.00224 | [
"Ce Lyu",
"Changzheng Wei",
"Yanhao Wang",
"Jie Liang",
"Li Lin",
"Hanghang Wu",
"Minghao Zhao",
"Ying Yan",
"Aoying Zhou"
] | The query optimizer is a fundamental component of database management systems that determines the most efficient execution strategy for a given query by evaluating alternative query plans. Among its tasks, join optimization plays a central role, as the order of joins in multi-table queries can significantly affect exec... | # | ICDE2026 |
Community-Level Personalized Recommendation by Exploiting Evolving User-Item Micro-Clusters | https://doi.org/10.1109/ICDE65706.2026.00095 | [
"Xinyu Liu",
"Jinxia Guo",
"Qirui Hao",
"Zhongjing Yu",
"Qinli Yang",
"Junming Shao"
] | To achieve precise personalized recommendations, it is crucial to model user preference and item popularity simultaneously to capture their evolving characteristics. However, existing techniques often treat the evolution of user preference or item popularity with the same fixed decay rate, failing to capture the indivi... | # | ICDE2026 |
ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing Across Diverse Data Modalities | https://doi.org/10.1109/ICDE65706.2026.00255 | [
"Jingyi Yang",
"Songsong Mo",
"Jiachen Shi",
"Zihao Yu",
"Kunhao Shi",
"Xuchen Ding",
"Gao Cong"
] | The explosive growth of multimodal data-spanning text, spatial, vector, and relational modalities, coupled with the need for real-time semantic search and retrieval over these data-has outpaced the capabilities of existing multimodal and real-time database systems, which either lack efficient ingestion and continuous q... | # | ICDE2026 |
Compressing High-Frequency Time Series Through Multiple Models and Stealing From Residuals | https://doi.org/10.1109/ICDE65706.2026.00025 | [
"Abduvoris Abduvakhobov",
"Søren Kejser Jensen",
"Christian Thomsen",
"Torben Bach Pedersen"
] | Wind turbines are equipped with high-quality sensors that generate vast volumes of high-frequency time series. The time series are ingested on the edge and transferred to the cloud for later analytics. This process is complicated by challenges like low network bandwidth and high cloud storage costs. ModelarDB was propo... | # | ICDE2026 |
DistVec: Efficient Distributed Machine Learning in Parallel Database Systems | https://doi.org/10.1109/ICDE65706.2026.00169 | [
"Xinyi Zhang",
"Liangzu Liu",
"Xupeng Miao",
"Yinjun Wu",
"Zhen Chen",
"Wei Lu",
"Xiaoyong Du",
"Bin Cui"
] | Embedding vectors are widely used in various database-related domains. However, efficiently training largescale embeddings directly on DB-resident data remains a challenge, despite the ongoing efforts on supporting machine learning algorithms in database management systems, known as in-DBMS ML. Although current UDAF-ba... | # | ICDE2026 |
Effective Dataset Distillation for Spatio-Temporal Forecasting with BI-Dimensional Compression | https://doi.org/10.1109/ICDE65706.2026.00131 | [
"Taehyung Kwon",
"Yeonje Choi",
"Yeongho Kim",
"Kijung Shin"
] | Spatio-temporal time series are widely used in realworld applications, including traffic prediction and weather forecasting. They are sequences of observations over extensive periods and multiple locations, naturally represented as multidimensional data. Forecasting is a central task in spatio-temporal analysis, and nu... | # | ICDE2026 |
FaScalSQL: A Fast and Scalable GPU-Accelerated SQL Query Engine for Out-of-Memory Tables | https://doi.org/10.1109/ICDE65706.2026.00009 | [
"Chaemin Lim",
"Suhyun Lee",
"Jinwoo Choi",
"Kwanghyun Park",
"Jinho Lee",
"Joonsung Kim",
"Youngsok Kim"
] | Graphics Processing Units (GPUs) are promising for analytical SQL query processing, but their limited memory capacity hinders processing large input tables exceeding the GPU memory. The existing engines either 1) statically split input columns into chunks and iteratively perform host-to-GPU transfer and relational oper... | # | ICDE2026 |
GeminiSketch: An Accurate and Efficient Sketch for Summarizing Temporal Graph Streams with Rolling-Out Elimination | https://doi.org/10.1109/ICDE65706.2026.00010 | [
"Xuyang Jing",
"Chenhao Zhang",
"Zheng Yan",
"Qingze Jiang",
"Witold Pedrycz",
"Mingjun Wang",
"Cong Wang"
] | A temporal graph stream represents a graph stream with dynamic behaviors, where the edges connecting vertices change over time. It can model a wide range of network behaviors, e.g., describing changes of subscribers in a social network, monitoring call duration within a mobile network. Analyzing the temporal graph stre... | # | ICDE2026 |
Fast Discovery of Functional Dependencies via Bayesian Network Learning | https://doi.org/10.1109/ICDE65706.2026.00011 | [
"Siyi Yang",
"Shenglin Chen",
"Xi Wang",
"Yuhua Tang",
"Ruochun Jin"
] | Functional dependencies (FDs) are fundamental to data quality and query optimization. However, discovering highconfidence FDs from large-scale, noisy real-life datasets remains challenging, especially for those with low-support which can be early pruned. In view of this challenge, we propose BSFD, a scalable and parall... | # | ICDE2026 |
Approximate Butterfly Counting in Sublinear Time | https://doi.org/10.1109/ICDE65706.2026.00012 | [
"Chi Luo",
"Jiaxin Song",
"Yuhao Zhang",
"Kai Wang",
"Zhixing He",
"Kuan Yang"
] | Bipartite graphs serve as a natural model for representing relationships between two different types of entities. When analyzing bipartite graphs, butterfly counting is a fundamental research problem that aims to count the number of butterflies (i.e., 2×2 bicliques) in a given bipartite graph. While this problem has be... | # | ICDE2026 |
Exqutor: Extended Query Optimizer for Vector-Augmented Analytical Queries | https://doi.org/10.1109/ICDE65706.2026.00013 | [
"Hyunjoon Kim",
"Chaerim Lim",
"Hyeonjun An",
"Rathijit Sen",
"Kwanghyun Park"
] | Vector similarity search is becoming increasingly important for data science pipelines, particularly in RetrievalAugmented Generation (RAG), where it enhances large language model inference by enabling efficient retrieval of relevant external knowledge. As RAG expands with table-augmented generation to incorporate stru... | # | ICDE2026 |
RoarChain: A Robust Sharding Blockchain System for Enterprise Consortium | https://doi.org/10.1109/ICDE65706.2026.00014 | [
"Yuan Sui",
"Xiaochun Yang",
"Bin Wang",
"Yujie Zhang",
"Lina Wang"
] | Enterprise consortium blockchains are increasingly adopted in domains such as supply chains and finance, where secure, high-throughput data storage and verifiable, highly available query services are essential. While existing solutions like ScorpioBase leverage off-chain databases and fine-grained signatures to improve... | # | ICDE2026 |
Towards the Distributed Large-Scale $k$-NN Graph Construction by Graph Merge | https://doi.org/10.1109/ICDE65706.2026.00015 | [
"Cheng Zhang",
"Wan-Lei Zhao",
"Shihai Xiao",
"Jiajie Yao",
"Xuecang Zhang"
] | In order to support the real-time interaction with LLMs and the instant search or the instant recommendation on social media, it becomes an imminent problem to build a $k$-NN graph or an indexing graph for the massive number of vectorized multimedia data. In such scenarios, the scale of the data or the scale of the gra... | # | ICDE2026 |
CSD-CoKV: Host-CSD Collaborative Offloading for High-Performance LSM-Tree Based KV Stores | https://doi.org/10.1109/ICDE65706.2026.00016 | [
"Zhining Cao",
"Kai Zhang",
"Jinrun Yang",
"Hui Li",
"Nan Su",
"Qian Wei",
"Shikun Ma",
"Zehao Chen",
"Junbo Yin",
"Haijun Zhang",
"Zhaoyan Shen"
] | LSM-tree-based key-value stores are widely used due to their write efficiency and scalability. However, their background compaction process requires substantial data movement between the host and storage devices, resulting in inefficient resource usage, frequent write stalls, and degraded overall throughput. Existing o... | # | ICDE2026 |
Conflict Resolution for Improving ML Accuracy | https://doi.org/10.1109/ICDE65706.2026.00018 | [
"Wenfei Fan",
"Xiaoyu Han",
"Hufsa Khan",
"Weilong Ren",
"Yaoshu Wang",
"Min Xie",
"Zihuan Xu"
] | This paper investigates how to make practical use of conflict resolution (CR) to enhance the accuracy of ML classifiers $\mathcal{M}$ on relational data. We show that applying CR to influential attributes and/or tuples can substantially improve the performance of downstream model $\mathcal{M}$. Based on this, we formul... | # | ICDE2026 |
MVGPT: Generative Materialized View Forecasting | https://doi.org/10.1109/ICDE65706.2026.00019 | [
"Yue Han",
"Guoliang Li",
"Wenchun Xu",
"Xianglei Ran",
"Zeya Gong",
"Wei Guo",
"Guang Qiu",
"Bo Zheng"
] | Existing materialized view (MV) selection methods rely on historical queries to select MVs. However, queries are dynamically and continually changing, and it is ineffective to generate MVs based only on historical queries. To address this limitation, we propose a novel MV forecasting framework, MVGPT, which utilizes la... | # | ICDE2026 |
Accurate Table Question Answering with Accessible LLMs | https://doi.org/10.1109/ICDE65706.2026.00020 | [
"Yangfan Jiang",
"Fei Wei",
"Ergute Bao",
"Yaliang Li",
"Bolin Ding",
"Yin Yang",
"Xiaokui Xiao"
] | Given a table T in a database and a question Q in natural language, the table question answering (TQA) task aims to return an accurate answer to Q based on the content of T. Recent state-of-the-art solutions leverage large language models (LLMs) to obtain high-quality answers. However, most rely on proprietary, large-s... | # | ICDE2026 |
Autohformer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction | https://doi.org/10.1109/ICDE65706.2026.00021 | [
"Qianru Zhang",
"Honggang Wen",
"Ming Li",
"Dong Huang",
"Siu-Ming Yiu",
"Christian S. Jensen",
"Pietro Liò"
] | Time series forecasting requires architectures that simultaneously achieve three competing objectives: (1) strict temporal causality for reliable predictions, (2) subquadratic complexity for practical scalability, and (3) multiscale pattern recognition for accurate long-horizon forecasting. We introduce AutoHFormer, a ... | https://github.com/CoderPowerBeyond/AutoHFormer | ICDE2026 |
CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness | https://doi.org/10.1109/ICDE65706.2026.00022 | [
"Ying Zheng",
"Yangfan Jiang",
"Kian-Lee Tan"
] | Causal fairness in databases is crucial to preventing biased and inaccurate outcomes in downstream tasks. While most prior work assumes a known causal model, recent efforts relax this assumption by enforcing additional constraints. However, these approaches often fail to capture broader attribute relationships that are... | # | ICDE2026 |
Evolving Sketch: Time-Decaying Frequency Estimation for Evolving Streams | https://doi.org/10.1109/ICDE65706.2026.00023 | [
"Ge Gao",
"Yang Du",
"He Huang",
"Yu-E Sun",
"Jianzhi Tang"
] | Frequency estimation approximates element occurrences using limited memory and is fundamental in data stream processing. Traditional probabilistic sketches provide spaceefficient solutions but treat all occurrences equally regardless of timing, causing suboptimal performance when recent observations matter more than hi... | # | ICDE2026 |
Contextual Pattern Mining and Counting | https://doi.org/10.1109/ICDE65706.2026.00024 | [
"Ling Li",
"Daniel Gibney",
"Sharma V. Thankachan",
"Solon P. Pissis",
"Grigorios Loukides"
] | Given a string $P$ of length $m$, a longer string $T$ of length $n>m$, and two integers $l\geq 0$ and $r\geq 0$, the context of $P$ in $T$ is the set of all string pairs $(L,R)$, with $|L|=l$ and $|R|=r$, such that the string $LPR$ occurs in $T$. We introduce two problems related to the notion of context: (1) the Conte... | # | ICDE2026 |
A Unified Framework for Compressed and Encrypted Text Direct Processing | https://doi.org/10.1109/ICDE65706.2026.00026 | [
"Yani Liu",
"Feng Zhang",
"Yu Zhang",
"Siqi Ma",
"Elisa Bertino",
"Xiaoyong Du"
] | The rapid growth of textual data calls for systems that can efficiently manage large-scale text, while the need to safeguard text privacy has become increasingly urgent. Homomorphic encryption enables computation directly on encrypted data but incurs significant ciphertext expansion and high storage and computation cos... | # | ICDE2026 |
Spatiotemporal Sketch Disaggregation: Streaming Analytics with Heterogeneous Resources | https://doi.org/10.1109/ICDE65706.2026.00027 | [
"Jonatan Langlet",
"Peiqing Chen",
"Michael Mitzenmacher",
"Zaoxing Liu",
"Ran Ben Basat",
"Gianni Antichi"
] | Streaming analytics are essential in a large range of applications, including databases, networking, and machine learning. To optimize performance, practitioners are increasingly offloading such analytics to network nodes such as switches. However, resources such as fast SRAM memory available at switches are limited, n... | # | ICDE2026 |
L4g: Two-Hop Label Management for Group Steiner Tree Search on Graphs | https://doi.org/10.1109/ICDE65706.2026.00028 | [
"Xiaoyao Feng",
"Yahui Sun",
"Zhuoran Wang",
"Junlin Li",
"Sijia Luo",
"Rong-Hua Li"
] | Finding group Steiner trees (GSTs) is widely utilized for keyword search in relational databases. Current methods often build GSTs by querying and merging shortest paths. Some recent work explores the possibility of employing shortest path indexes, i.e., 2-hop labels, to speed up GST search, but fails to achieve a cons... | # | ICDE2026 |
Revisiting Locally Differentially Private Protocols: Towards Better Trade-Offs in Privacy, Utility, and Attack Resistance | https://doi.org/10.1109/ICDE65706.2026.00029 | [
"Héber Hwang Arcolezi",
"Sébastien Gambs"
] | Local Differential Privacy (LDP) offers strong privacy protection, especially in settings in which the server collecting the data is untrusted. However, designing LDP mechanisms that achieve an optimal trade-off between privacy, utility and robustness to adversarial inference and integrity attacks remains challenging. ... | # | ICDE2026 |
Micro: a Lightweight Middleware for Optimizing Cross-Store Cross-Model Graph-Relation Joins | https://doi.org/10.1109/ICDE65706.2026.00030 | [
"Xiuwen Zheng",
"Arun Kumar",
"Amarnath Gupta"
] | Modern data applications increasingly involve heterogeneous data managed in different models and stored across disparate database engines, often deployed as separate installs. Limited research has addressed cross-model query processing in federated environments. This paper takes a step toward bridging this gap by: (1) ... | # | ICDE2026 |
Switch$\Delta$: Asynchronous Metadata Updating for Distributed Storage with in-Network Data Visibility | https://doi.org/10.1109/ICDE65706.2026.00031 | [
"Junru Li",
"Qing Wang",
"Zhe Yang",
"Shuo Liu",
"Jiwu Shu",
"Youyou Lu"
] | Distributed storage systems typically maintain strong consistency between data nodes and metadata nodes by adopting ordered writes: 1) first installing data; 2) then updating metadata to make data visible. We propose Switch $\Delta$ to accelerate ordered writes by moving metadata updates out of the critical path. It bu... | # | ICDE2026 |
DIndex: an Efficient on-Disk Learned Index for Memory-Constrained Environments | https://doi.org/10.1109/ICDE65706.2026.00032 | [
"Jiahuan Shen",
"Chuzhe Tang",
"Haoning Lan",
"Ren Ren",
"Zhaoguo Wang"
] | B+trees, the de facto standard for on-disk database indexing, exhibit significant performance degradation in memoryconstrained environments due to frequent disk I/O that accesses out-of-cache index nodes during tree traversal. The recent proposal of in-memory learned indexes promises substantial reductions in index foo... | # | ICDE2026 |
Federated Retrieval Over Embedding-Heterogeneous Vector Databases | https://doi.org/10.1109/ICDE65706.2026.00033 | [
"Yuxiang Wang",
"Yongxin Tong",
"Zimu Zhou",
"Ziyuan He",
"Ruixi Hu",
"Ke Xu"
] | Vector databases are increasingly used to manage unstructured data by mapping them into high-dimensional embeddings and enabling efficient similarity retrieval. Many realworld applications, such as legal document retrieval and medical question answering, require embedding-based retrieval in federated environments where... | # | ICDE2026 |
LogDelta: Differential Encoding for Log Data | https://doi.org/10.1109/ICDE65706.2026.00034 | [
"Songze Li",
"Shaoxu Song",
"Zhitao Shen"
] | System logs are critical for understanding the performance of various software systems. Compression is essential to efficient storage or transmission of system log data. Generalpurpose compressors like LZMA treat logs as binary data, ignoring their structure, and thus fail to achieve the best compression. The semi-stru... | # | ICDE2026 |
Secure Query Processing with Linear Online Cost | https://doi.org/10.1109/ICDE65706.2026.00035 | [
"Qiyao Luo",
"Yilei Wang",
"Wei Dong",
"Ke Yi"
] | Query processing under the secure multi-party computation (MPC) model has received increasing attention in recent years. However, all existing MPC query processing algorithms incur a cost of $\Omega(n \log n)$, due to the use of secure sorting. While secure sorting is believed to be inevitable, we observe that it can b... | # | ICDE2026 |
VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models | https://doi.org/10.1109/ICDE65706.2026.00036 | [
"Shuaimin Li",
"Chen Jason Zhang",
"Xuanang Chen",
"Anni Peng",
"Zhuoyue Wan",
"Yuanfeng Song",
"Shiwen Ni",
"Min Yang",
"Fei Hao",
"Raymond Chi-Wing Wong"
] | Text-to-visualization (text-to-vis) models for tabular data have become essential tools in the era of big data, enabling users to generate visualizations and make data-driven decisions through natural language queries (NLQs). Despite their growing adoption, the security vulnerabilities of these models remain largely un... | # | ICDE2026 |
PRO-HNSW: Proactive Repair and Optimization for High-Performance Dynamic HNSW Indexes | https://doi.org/10.1109/ICDE65706.2026.00037 | [
"Huijun Jin",
"Jieun Lee",
"Shengmin Piao",
"Sangmin Seo",
"Sanghyun Park"
] | Graph-based Approximate Nearest Neighbor Search (ANNS), particularly using Hierarchical Navigable Small World (HNSW) graphs, offers state-of-the-art query performance for large-scale, high-dimensional data. However, the efficiency and accuracy of HNSW indexes degrade seriously under dynamic conditions involving frequen... | # | ICDE2026 |
Promoting Fairness in Information Access Within Social Networks | https://doi.org/10.1109/ICDE65706.2026.00038 | [
"Changan Liu",
"Xiaotian Zhou",
"Ahad N. Zehmakan",
"Zhongzhi Zhang"
] | The advent of online social networks has facilitated fast and wide spread of information. However, some users, especially members of minority groups, may be less likely to receive information spreading on the network, due to their disadvantaged network position. We study the optimization problem of adding new connectio... | # | ICDE2026 |
Keyword-Aware Skyline Community Search on Semantics and Structure | https://doi.org/10.1109/ICDE65706.2026.00039 | [
"Chuanhou Sun",
"Yuhai Zhao",
"Ling Li",
"Yuan Li"
] | Community search (CS) on attributed graphs has been widely studied, catering to various applications such as friend recommendation. Recent works have focused on keywordaware community search with query keywords $Q$, aiming to return the closely connected communities relating to $\boldsymbol{Q}$. To achieve the best rec... | # | ICDE2026 |
$\mathrm{B}^{S}$-Tree: A Gapped Data-Parallel B-Tree | https://doi.org/10.1109/ICDE65706.2026.00040 | [
"Dimitrios Tsitsigkos",
"Achilleas Michalopoulos",
"Nikos Mamoulis",
"Manolis Terrovitis"
] | We propose $\mathbf{B}^{S}$-tree, an in-memory implementation of the $\mathbf{B}^{+}$-tree that adopts the structure of the disk-based index (i.e., a balanced, multiway tree), setting the node size to a memory block that can be processed fast and in parallel using SIMD instructions. A novel feature of the $\mathbf{B}^{... | # | ICDE2026 |
Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition | https://doi.org/10.1109/ICDE65706.2026.00041 | [
"Hao Wu",
"Changzheng Wei",
"Yanhao Wang",
"Li Lin",
"Yilong Leng",
"Shiyu He",
"Minghao Zhao",
"Hanghang Wu",
"Ying Yan",
"Aoying Zhou"
] | This paper investigates the feasibility of achieving zero-knowledge verifiability for graph databases, which enables data owners to cryptographically prove the correctness of query execution without disclosing the underlying graph data. Although similar capabilities for the verification of SQL query execution in relati... | # | ICDE2026 |
cuFHEDB: GPU-Accelerated Fully Homomorphic Encryption Database | https://doi.org/10.1109/ICDE65706.2026.00042 | [
"Shijie Gao",
"Feng Zhang",
"Qian Xu",
"Yang Li",
"XueFeng Liu",
"Chao Jiang",
"Limin Xiao",
"Siqi Ma",
"Elisa Bertino",
"Xiaoyong Du"
] | As data privacy becomes increasingly critical, fully homomorphic encryption (FHE) emerges as a promising solution for securely outsourcing database queries to the cloud without exposing plaintext information. However, FHE-based databases suffer from significant computational latency, obstructing efficient SQL query exe... | https://github.com/SekaiGao/cuFHEDB | ICDE2026 |
Contemp: Instance Caching Based on Container Temperature in Serverless Environment | https://doi.org/10.1109/ICDE65706.2026.00043 | [
"Pengwei Wang",
"Nuo Chen",
"Haoquan Qi",
"Yichen Zhong",
"Shun Song"
] | In serverless computing, cloud providers dynamically manage the underlying resource allocation, allowing developers to concentrate on business logic development. Although containers ensure runtime consistency, creation and destruction of instances significantly degrade performance by increasing cold start latency. A wi... | # | ICDE2026 |
TopFGL: A Topology-Aware and Distributionagnostic Federated Learning Framework Tackling Topological Heterogeneity on Graph Data | https://doi.org/10.1109/ICDE65706.2026.00044 | [
"Junyang Wang",
"Lan Zhang",
"Yihang Cheng",
"Mu Yuan",
"Tian Wang",
"Zhihui Fu",
"Jun Wang"
] | While the modern internet generates graph data at an unprecedented scale, stringent privacy regulations like GDPR have fragmented it into silos, creating an urgent need for distributed learning paradigms. Federated Graph Learning (FGL) meets this demand, enabling collaborative training across graph silos. A core challe... | # | ICDE2026 |
OsmT: Bridging Openstreetmap Queries and Natural Language With Open-Source Tag-Aware Language Models | https://doi.org/10.1109/ICDE65706.2026.00045 | [
"Zhuoyue Wan",
"Wentao Hu",
"Chen Jason Zhang",
"Yuanfeng Song",
"Shuaimin Li",
"Ruiqiang Xiao",
"Xiao-Yong Wei",
"Raymond Chi-Wing Wong"
] | Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this direction, existing solutions often rely on large-scale closed-source models that suffer from high inference costs, limited transparency, a... | # | ICDE2026 |
Knapsack Optimization-Based Schema Linking for LLM-Based Text-to-SQL Generation | https://doi.org/10.1109/ICDE65706.2026.00046 | [
"Zheng Yuan",
"Hao Chen",
"Zijin Hong",
"Qinggang Zhang",
"Feiran Huang",
"Qing Li",
"Xiao Huang"
] | Generating SQLs from user queries is a longstanding challenge, where the accuracy of initial schema linking significantly impacts subsequent SQL generation performance. However, current schema linking models still struggle with missing relevant schema elements or an excess of redundant ones. A crucial reason for this i... | https://github.com/DEEP-PolyU/KaSLA | ICDE2026 |
FLASH Viterbi: Fast and Adaptive Viterbi Decoding for Modern Data Systems | https://doi.org/10.1109/ICDE65706.2026.00047 | [
"Ziheng Deng",
"Xue Liu",
"Jiantong Jiang",
"Yankai Li",
"Qingxu Deng",
"Xiaochun Yang"
] | The Viterbi algorithm is a key operator for structured sequence inference in modern data systems, with applications in trajectory analysis, online recommendation, and speech recognition. As these workloads increasingly migrate to resource-constrained edge platforms, standard Viterbi decoding remains memory-intensive an... | https://github.com/Dzh-16/FLASH-Viterbi | ICDE2026 |
Sorting Compressed Time Series | https://doi.org/10.1109/ICDE65706.2026.00048 | [
"Zhiheng Liu",
"Xingyu Liu",
"Shaoxu Song",
"Jianmin Wang"
] | Compression is commonly used to reduce storage costs in large-scale time series databases. While time series data should be ordered by timestamps, they often arrive out of order due to network delay and thus need to be sorted. However, most existing compression schemes do not support direct swap operations on compresse... | # | ICDE2026 |
Reverse K Nearest Neighbor Query in Large Road Networks: a Tree Decomposition Based Approach | https://doi.org/10.1109/ICDE65706.2026.00049 | [
"Dian Ouyang",
"Boyu Zhang",
"Jianye Yang",
"Shiyu Yang",
"Chonghua Wang",
"Xuemin Lin"
] | Reverse k-nearest neighbor (R $k$ NN) query in road networks is an important and fundamental problem. Given a facility query vertex $q$, an $\mathrm{R} k \text{NN}$ query asks for finding all user vertices such that each of them regards $q$ as one of the $k$ nearest neighbors $(k \text{NN})$. Although $\mathbf{R} k \ma... | # | ICDE2026 |
Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts | https://doi.org/10.1109/ICDE65706.2026.00050 | [
"Guanli Liu",
"Renata Borovica-Gajic",
"Hai Lan",
"Zhifeng Bao"
] | Reinforcement learning has recently been used to enhance index structures, giving rise to reinforcement learning-enhanced spatial indices (RLESIs) that aim to improve query efficiency during index construction. However, their practical benefits remain unclear due to the lack of unified implementations and comprehensive... | # | ICDE2026 |
ProGQL: A Provenance Graph Query System for Cyber Attack Investigation | https://doi.org/10.1109/ICDE65706.2026.00051 | [
"Fei Shao",
"Jia Zou",
"Zhichao Cao",
"Xusheng Xiao"
] | Provenance analysis (PA) has recently emerged as an important solution for cyber attack investigation. PA leverages system monitoring to monitor system activities as a series of system audit events and organizes these events as a provenance graph to show the dependencies among system activities, which can reveal steps ... | # | ICDE2026 |
Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint | https://doi.org/10.1109/ICDE65706.2026.00052 | [
"Siwoo Song",
"Wonseok Shin",
"Kunsoo Park",
"Giuseppe F. Italiano",
"Zhengyi Yang",
"Wenjie Zhang"
] | A hypergraph is a generalization of a graph, in which a hyperedge can connect multiple vertices, modeling complex relationships involving multiple vertices simultaneously. Hypergraph pattern matching, which is to find all isomorphic embeddings of a query hypergraph in a data hypergraph, is one of the fundamental proble... | # | ICDE2026 |
Trading Vector Data in Vector Databases | https://doi.org/10.1109/ICDE65706.2026.00053 | [
"Jin Cheng",
"Xiangxiang Dai",
"Ningning Ding",
"John C. S. Lui",
"Jianwei Huang"
] | Vector data trading is essential for cross-domain learning with vector databases, yet it remains largely unexplored. We study this problem under online learning, where sellers face uncertain retrieval costs and buyers provide stochastic feedback to posted prices. Three main challenges arise: heterogeneous and partial f... | # | ICDE2026 |
Updatable Balanced Index for Fast on-Device Search with Auto-Selection Model | https://doi.org/10.1109/ICDE65706.2026.00054 | [
"Yushuai Ji",
"Sheng Wang",
"Zhiyu Chen",
"Yuan Sun",
"Zhiyong Peng"
] | Diverse types of edge data, such as 2D geo-locations and 3D point clouds, are collected by sensors like lidar and GPS receivers on edge devices. On-device searches, such as $k$-nearest neighbor $(k \text{NN})$ search and radius search, are commonly used to enable fast analytics and learning technologies, such as kmeans... | # | ICDE2026 |
Banknote-Chain: Achieving User-Incentivized Parallelism in Blockchain via a Banknote-Inspired Transaction Model | https://doi.org/10.1109/ICDE65706.2026.00055 | [
"Zhiyu Ma",
"Xiaofeng Li",
"He Zhao",
"Tong Zhou",
"Nianzu Sheng",
"Haotian Cheng"
] | Scalability remains a fundamental bottleneck in blockchain, hindering its widespread adoption in highthroughput and large-scale applications. Existing research usually attempts to enhance performance through various on-chain algorithms. However, these methods can introduce significant computing overhead for analysis an... | # | ICDE2026 |
Efficient Zero-Shot and Label-free Log Anomaly Detection for Resource-Constrained Systems | https://doi.org/10.1109/ICDE65706.2026.00056 | [
"Zuohan Wu",
"Jiachuan Wang",
"Libin Zheng",
"Yongqi Zhang",
"Shuangyin Li",
"Lei Chen"
] | Logs, generated from modern computational systems such as cloud servers or DBMS, are the primary indicator of system states and thus have drawn significant attention from researchers. One of its key tasks is log anomaly detection, aiming to discover anomalous signals that can subsequently imply errors in systems. Conve... | # | ICDE2026 |
Energy-Efficient Autonomous Driving With Adaptive Perception and Robust Decision | https://doi.org/10.1109/ICDE65706.2026.00057 | [
"Yuyang Xia",
"Zibo Liang",
"Liwei Deng",
"Yan Zhao",
"Han Su",
"Kai Zheng"
] | Autonomous driving is an emerging technology that is expected to bring significant social, economic, and environmental benefits. However, these benefits come with rising energy consumption by computation engines, limiting the driving range of vehicles, especially electric ones. Perception computing is typically the mos... | # | ICDE2026 |
Mitigating Dual Load Imbalance via Dynamic Cooperative Scheduling in Distributed Key-Value Stores | https://doi.org/10.1109/ICDE65706.2026.00058 | [
"Jiakun Zhang",
"Patrick P. C. Lee",
"Wenzhe Zhu",
"Yongkun Li",
"Shuyi Zhang",
"Yinlong Xu"
] | Distributed key-value (KV) stores are essential components of modern computing infrastructure, enabling efficient storage and management of large-scale datasets. Existing distributed KV stores often shard data by key ranges into multiple regions and distribute the regions across multiple nodes. However, such range-base... | # | ICDE2026 |
MOCHI: Motif-Based Community Search Over Large Heterogeneous Information Networks | https://doi.org/10.1109/ICDE65706.2026.00059 | [
"Yuhan Zhou",
"Qing Liu",
"Xin Huang",
"Jianliang Xu",
"Yunjun Gao"
] | In this paper, we investigate the problem of motif-based community search over heterogeneous information networks (MOCHI). We introduce a novel motif density modularity (MDM) to measure the motif cohesiveness of communities. Based on MDM, we define the MOCHI problem as follows: given a heterogeneous information network... | # | ICDE2026 |
Reconfiguring Scalable Hashing with Persistent CPU Caches | https://doi.org/10.1109/ICDE65706.2026.00060 | [
"Zhenyu Yu",
"Bolong Zheng",
"Ling Xu",
"Qianlu Wu",
"Qiang Chen",
"Ziyang Yue"
] | As an essential functionality in main memory system, the extendible hash index exhibits both low latency and instant recovery with the persistent memory (PM). The recently released eADR feature of PM further provides an opportunity to enhance write performance of extendible hash index. Compared to the previous generati... | # | ICDE2026 |
TemplateQO: Template-Aware and Scalable Query Optimization with Data-Efficient Learning | https://doi.org/10.1109/ICDE65706.2026.00061 | [
"Pengfei Zheng",
"Guoneng Li",
"Ling Xu",
"Rong Zhu",
"Yan Li",
"Bolong Zheng"
] | Learning-based query optimizers have demonstrated strong performance across various scenarios. However, most of these approaches rely heavily on estimated cardinalities, and inaccuracies in these estimates may significantly degrade their effectiveness in certain cases. Moreover, in our experiments we observe as the tra... | # | ICDE2026 |
Query-Driven Data Exploration with Heterogeneous Treatment Effects | https://doi.org/10.1109/ICDE65706.2026.00062 | [
"Antonis Mandamadiotis",
"Sihem Amer-Yahia",
"Georgia Koutrika"
] | Understanding how changes in actions or policies impact different population segments (users, items, etc.) is central to data-driven decision-making, but it is time-consuming and labor-intensive. We introduce a novel framework that combines user-defined search areas with causal inference to automatically identify respo... | # | ICDE2026 |
SOLAR: Scalable Distributed Spatial Joins Through Learning-Based Optimization | https://doi.org/10.1109/ICDE65706.2026.00063 | [
"Yongyi Liu",
"Ahmed Abdelmaguid",
"Ahmed R. Mahmood",
"Amr Magdy",
"Minyao Zhu"
] | The proliferation of location-based services has led to massive spatial data generation. Spatial join is a crucial database operation that identifies pairs of objects from two spatial datasets based on spatial relationships. Due to the intensive computational demands, spatial joins are often executed in a distributed m... | # | ICDE2026 |
Interpreting Graph Inference with Skyline Explanations | https://doi.org/10.1109/ICDE65706.2026.00064 | [
"Dazhuo Qiu",
"Haolai Che",
"Arijit Khan",
"Yinghui Wu"
] | Inference queries have been routinely issued to graph machine learning models such as graph neural networks (GNNs) for various network analytical tasks. Nevertheless, GNN outputs are often hard to interpret comprehensively. Existing methods typically conform to individual pre-defined explainability measures (such as fi... | # | ICDE2026 |
Chase Anonymisation: Privacy-Preserving Knowledge Graphs with Logical Reasoning | https://doi.org/10.1109/ICDE65706.2026.00065 | [
"Luigi Bellomarini",
"Costanza Catalano",
"Andrea Coletta",
"Michela Iezzi",
"Pierangela Samarati"
] | We propose a novel framework to enable Knowledge Graphs (KGs) sharing while ensuring that information that should remain private is not directly released nor indirectly exposed via derived knowledge, maintaining at the same time the embedded knowledge of the KGs to support business downstream tasks. Our approach produc... | # | ICDE2026 |
SSC-Join: An Efficient Syntactic-Semantic Collaboration Based Set Semantic Similarity Join Algorithm | https://doi.org/10.1109/ICDE65706.2026.00066 | [
"Lianyin Jia",
"Chengchen Zeng",
"Mengjuan Li",
"Suprio Ray",
"Yinong Chen",
"Jiaman Ding",
"Xiuxing Li"
] | Existing semantic similarity join algorithms assume that all elements in the sets are semantic elements, overlooking the significant impact of syntactic elements. Processing semantic elements requires executing the Hungarian algorithm, leading to high processing costs. To address this challenge, we first introduce sign... | # | ICDE2026 |
Deferred Flushing for Out-of-Order Arrivals in Apache IoTDB | https://doi.org/10.1109/ICDE65706.2026.00067 | [
"Xiaojian Zhang",
"Zhiheng Liu",
"Shaoxu Song",
"Xiangdong Huang",
"Chen Wang",
"Jianmin Wang"
] | Delays are inevitably associated with network transmission, leading to out-of-order time series arrivals. To store the data in time order, time series databases (TSDBs) choose to merge them via compaction in an LSM-tree. It incurs huge write amplification cost. We notice that the out-of-order arrivals are often delayed... | # | ICDE2026 |
Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution | https://doi.org/10.1109/ICDE65706.2026.00068 | [
"Kaiqi Wu",
"Weiyang Kong",
"Sen Zhang",
"Zitong Chen",
"Yubao Liu"
] | Traffic prediction is a critical task in spatial-temporal forecasting with broad applications in travel planning and urban management. To model the complex spatial-temporal dependencies in traffic data, Spatial-Temporal Graph Convolutional Networks (STGCNs) have been widely employed, achieving advanced performance. How... | https://github.com/wkq-wukaiqi/RAGC | ICDE2026 |
SaSPartitioner: A Self-Adaptive Streaming Partitioner Using Deep Reinforcement Learning | https://doi.org/10.1109/ICDE65706.2026.00069 | [
"Shenghao Gong",
"Liu Liu",
"Ziquan Fang",
"Yunjun Gao",
"Yaofeng Tu"
] | Stream processing has been widely adopted in online services, such as e-commerce platforms and real-time query systems, due to its ability to leverage distributed parallel computing for low-latency, large-scale data processing. However, data skew, which results in imbalanced load distribution across computational nodes... | # | ICDE2026 |
AdaFedRec: Adaptive Heterogeneous Federated Recommender Systems Across Multi-Device Users | https://doi.org/10.1109/ICDE65706.2026.00070 | [
"Zhenkai Li",
"Ming Hu",
"Chentao Jia",
"Yining Sun",
"Zhufeng Lu",
"Mingyang Yu",
"Yanxin Yang",
"Xiaofei Xie",
"Mingsong Chen"
] | Although Federated Learning (FL), as a distributed machine learning paradigm, is promising for privacy-preserving model training in recommender systems, it suffers from low training performance due to heterogeneous hardware resources across user devices, especially among users with multiple devices. Specifically, i) th... | https://github.com/Iridescentttttt/AdaFedRec | ICDE2026 |
MatKV: Trading Compute for Flash Storage in LLM Inference | https://doi.org/10.1109/ICDE65706.2026.00071 | [
"Kunwoo Shin",
"Jay H. Park",
"Moonwook Oh",
"Yohan Jo",
"Jaeyoung Do",
"Sang-Won Lee"
] | We observe two major trends in LLM-based generative AI: (1) inference is becoming the dominant factor in terms of cost and power consumption, surpassing training, and (2) retrieval augmented generation (RAG) is becoming prevalent. When processing long inputs in RAG, the prefill phase of computing the key-value vectors ... | https://github.com/kunwooshin/MatKV | ICDE2026 |
LUCID: An Updatable and Concurrent Learned Index for Larger-Than-Memory Data Management | https://doi.org/10.1109/ICDE65706.2026.00072 | [
"Chaohong Ma",
"Xiaohui Yu",
"Yifan Li",
"Aishan Maoliniyazi",
"Xiaofeng Meng"
] | Learned indexes have shown great potential for improving data storage and access performance, but their adoption in real-world systems is limited when data exceed memory capacity. In-memory approaches become impractical at scale, while fully on-disk techniques often fail to meet the performance demands of diverse workl... | # | ICDE2026 |
CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation Using Joint CDF | https://doi.org/10.1109/ICDE65706.2026.00073 | [
"Lankadinee Rathuwadu",
"Guanli Liu",
"Christopher Leckie",
"Renata Borovica-Gajic"
] | Cardinality estimation (CE), the task of predicting the result size of queries is a critical component of query optimization. Accurate estimates are essential for generating efficient query execution plans. Recently, machine learning techniques have been applied to CE, broadly categorized into query-driven and data-dri... | # | ICDE2026 |
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data | https://doi.org/10.1109/ICDE65706.2026.00074 | [
"Buang Zhang",
"Tung Kieu",
"Xiangfei Qiu",
"Chenjuan Guo",
"Jilin Hu",
"Aoying Zhou",
"Christian S. Jensen",
"Bin Yang"
] | Time series anomaly detection is important in modern large-scale systems and is applied in a variety of domains to analyze and monitor the operation of diverse systems. Unsupervised approaches have received widespread interest, as they do not require anomaly labels during training, thus avoiding potentially high costs ... | # | ICDE2026 |
Grace: Alleviating Reconstruction Cost in Dynamic Graph Processing Systems | https://doi.org/10.1109/ICDE65706.2026.00075 | [
"Hongru Gao",
"Shuhao Zhang",
"Xiaofei Liao",
"Hai Jin"
] | Efficient dynamic graph processing is critical for real-time applications. Recent systems utilize hybrid layouts combining Packed Memory Array (PMA) and Compressed Sparse Row (CSR) structures to balance updating and computing efficiency. However, these systems face key challenges, including costly global copying and tr... | # | ICDE2026 |
High-Fidelity Task Assignment in Spatial Crowdsourcing via Implicit Human Feedback | https://doi.org/10.1109/ICDE65706.2026.00076 | [
"Qingshun Wu",
"Yafei Li",
"Lei Gao",
"Guanglei Zhu",
"Lei Chen",
"Mingliang Xu"
] | Dynamic task assignment that allocates spatial tasks to mobile workers based on time windows has emerged as a key research problem in spatial crowdsourcing (SC), where the major challenge lies in deciding the optimal window size. Recent studies use reinforcement learning models (RLMs) to adaptively partition task strea... | # | ICDE2026 |
LAMP: A Dual-Mode Framework for Database Workload Memory Prediction | https://doi.org/10.1109/ICDE65706.2026.00077 | [
"Guoze Xue",
"Lu Chen",
"Ziquan Fang",
"Yushuai Li",
"Tianyi Li",
"Torben Bach Pedersen"
] | Precise prediction of working memory consumption for query workloads is crucial for preventing out-of-memory errors and optimizing resource utilization in modern database systems. While existing approaches focus on performance prediction for individual queries, they fail to capture the complex memory dynamics arising f... | # | ICDE2026 |
Efficient Model-Agnostic Continual Learning for Next POI Recommendation | https://doi.org/10.1109/ICDE65706.2026.00078 | [
"Chenhao Wang",
"Shanshan Feng",
"Lisi Chen",
"Fan Li",
"Shuo Shang"
] | Next point-of-interest (POI) recommendation improves personalized location-based services by predicting users' next destinations based on their historical check-ins. However, most existing methods rely on static datasets and fixed models, limiting their ability to adapt to changes in user behavior over time. To address... | # | ICDE2026 |
GeoLayer: Towards Low-Latency and Cost-Efficient Geo-Distributed Graph Stores with Layered Graph | https://doi.org/10.1109/ICDE65706.2026.00079 | [
"Feng Yao",
"Xiaokang Yang",
"Shufeng Gong",
"Song Yu",
"Yanfeng Zhang",
"Ge Yu"
] | The inherent connectivity and dependency of graphstructured data, combined with its unique topology-driven access patterns, pose fundamental challenges to conventional data replication and request routing strategies in geo-distributed cloud storage systems. In this paper, we propose GeoLayer, a geodistributed graph sto... | # | ICDE2026 |
Robust Index Benefit Estimation via Hierarchical and Two-Dimensional Feature Representation | https://doi.org/10.1109/ICDE65706.2026.00080 | [
"Tao Li",
"Feng Liang",
"Jinqi Quan",
"Zihang Yang",
"Teng Wang",
"Runhuai Huang",
"Xiping Hu",
"Meng Li",
"Haipeng Dai"
] | In recent years, machine learning-based index advisors have gained success as they can estimate the benefit of a given index without actually evaluating it via what-if optimizers. However, existing methods often fail to capture indexrelevant features adequately, leading to limited accuracy and poor adaptability to chan... | https://github.com/quanjnq/Eddie | ICDE2026 |
MTC: Scalable Transaction Commit for Multi-Primary Cloud Databases | https://doi.org/10.1109/ICDE65706.2026.00081 | [
"Kecheng Luo",
"Xiaoxian Wei",
"Wenxin Liu",
"Peng Cai",
"Aoying Zhou",
"Hui Li",
"Le Cai"
] | While compute-storage disaggregation provides elasticity to cloud databases, the prevalent single-primary model restricts write scalability and fault tolerance. Maintaining data consistency becomes a key challenge when multiple primaries handle concurrent writes, especially with hot data cached locally. This paper pres... | # | ICDE2026 |
EC-RAG: Towards Efficient Edge-Cloud Retrieval-Augmented Generation Systems | https://doi.org/10.1109/ICDE65706.2026.00082 | [
"Liang Wang",
"Kai Wang",
"Ranjun Jia",
"Kai Lu",
"Jiguang Wan",
"Hao Huo",
"Yulong Zhai",
"Zhiyuan Liang",
"Di Wang"
] | Retrieval-augmented generation (RAG) grounds the desired responses of large language models (LLMs) by connecting to external knowledge databases. However, deploying full-scale LLMs on resource-constrained edge servers is impractical. Instead, small language models (SLMs) enable efficient deployment at the edge, but the... | # | ICDE2026 |
TabLoft: Tabular Data Generation Based on LLM with Ordered Features | https://doi.org/10.1109/ICDE65706.2026.00083 | [
"Luyu Chen",
"Changhao Wu",
"Jingyi Li",
"Sen Liu",
"Guangnan Ye",
"Hongfeng Chai"
] | Tabular data is a fundamental format for storage and processing in databases. However, it often suffers from challenges such as limited sample size and privacy concerns in specific tasks. Tabular data generation offers a promising solution, and methods based on large language models (LLMs) have demonstrated strong perf... | # | ICDE2026 |
CYANSQL: Unlock the Power of NL2SQL Via Clustering-Based Test-Time Scaling | https://doi.org/10.1109/ICDE65706.2026.00084 | [
"Haoyu Qin",
"Tonghui Ren",
"Zhenying He",
"X. Sean Wang",
"Jiashu Xing",
"Yanghuan Ye",
"Shifei Huang",
"Jinbao Li"
] | Large language models (LLMs) are playing an increasingly important role in the Natural Language to SQL (NL2SQL) task. Although LLMs exhibit strong inherent reasoning abilities, they often fail to generate correct SQL because they lack knowledge of the target logical operator composition. Few-shot learning is a commonly... | https://github.com/zyddqhy/CYANSQL | ICDE2026 |
Effective Fairest Community Search Over Heterogeneous Information Networks | https://doi.org/10.1109/ICDE65706.2026.00085 | [
"Taige Zhao",
"Jianxin Li",
"Man Li",
"Wei Luo",
"Jingxian Cheng",
"Yuan Miao",
"Hua Wang"
] | Community search over heterogeneous information networks has been applied to wide domains, such as activity organization and team formation. Existing studies focus on identifying groups of members that meet the minimum engagement requirements. But in reality, given a group, its members may exhibit large gaps in their e... | # | ICDE2026 |
Iit-Tree: an Efficient Index to Support Interval-Based Query on Large Temporal Graphs | https://doi.org/10.1109/ICDE65706.2026.00086 | [
"Faming Li",
"Shengli Qiu",
"Xiaochun Yang",
"Bin Wang",
"Hengzhao Ma"
] | Graph is a powerful model to represent many-tomany relationships between entities and is widely used in mining social networks, managing communication networks, etc. The networks are usually not static and change over time. One of these types of networks is always represented by temporal graph, whose edges or vertices ... | # | ICDE2026 |
PORCA: Root Cause Analysis with Partially Observed Data | https://doi.org/10.1109/ICDE65706.2026.00087 | [
"Chang Gong",
"Di Yao",
"Jin Wang",
"Wenbin Li",
"Lanting Fang",
"Yongtao Xie",
"Kaiyu Feng",
"Peng Han",
"Jingping Bi"
] | Root Cause Analysis (RCA), aiming at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from collected time-series databases, has been widely used in many application domains. However, previous studies implicitly assume a full observation of the system and neglect the ef... | # | ICDE2026 |
Efficient and Scalable Search for Statistics | https://doi.org/10.1109/ICDE65706.2026.00088 | [
"Antoine Gauquier",
"Simon Ebel",
"Helena Galhardas",
"Théo Galizzi",
"Ioana Manolescu",
"Aurélien Peden",
"Pierre Senellart"
] | Informed public debate needs high-quality data. In this context, high-quality statistical data sources are a valuable category of reference information based on which a claim can be checked. To facilitate the work of journalists or other factcheckers, users' questions about a specific claim should be automatically answ... | # | ICDE2026 |
Reconstructing TensorLog for Scalable End-to-End Rule Learning | https://doi.org/10.1109/ICDE65706.2026.00089 | [
"Kunxun Qi",
"Jianfeng Du",
"Hai Wan",
"Wei Wang"
] | Logical rules play a crucial role in knowledge graph (KG) reasoning. They underpin various database applications and serve as pivotal components for enhancing large language models (LLMs) with KGs. In recent years, end-to-end rule learning has emerged as a promising paradigm to learn logical rules. The key insight of e... | # | ICDE2026 |
HL-Index: Fast Reachability Query in Hypergraphs | https://doi.org/10.1109/ICDE65706.2026.00090 | [
"Peiting Xie",
"Xiangjun Zai",
"Yanping Wu",
"Xiaoyang Wang",
"Wenjie Zhang",
"Lu Qin"
] | Reachability in hypergraphs is essential for modeling complex groupwise interactions in real-world applications such as co-authorship, social network, and biological analysis, where relationships go beyond pairwise interactions. In this paper, we introduce the notion of $\boldsymbol{s}$-reachability, where two vertices... | # | ICDE2026 |
Astraea: Efficient Pipelined Micro-Batch Stream Processing with Non-Hash Differentiated Partitioning | https://doi.org/10.1109/ICDE65706.2026.00091 | [
"Sijie Wu",
"Hanhua Chen",
"Hai Jin",
"Haoran Cai"
] | Modern micro-batch stream processing systems have emerged to meet the requirement of real-time stream processing with extreme throughput. They leverage two-stage pipeline parallelism which overlaps stream buffering and data processing to speed up the system, while relying on a functional parallel computation framework ... | # | ICDE2026 |
Trajectory-User Linking via Heterogeneous Preference Graph and Dual-Encoder Mutual Distillation | https://doi.org/10.1109/ICDE65706.2026.00092 | [
"Zeming Tian",
"Zixin Qin",
"Huaijie Zhu",
"Ningning Cui",
"Wei Liu",
"Jianxing Yu",
"Jian Yin"
] | Trajectory User Linking (TUL) is a critical task in spatio-temporal behavior analysis, which focuses on reidentifying users from anonymous mobility traces. While prior approaches have made progress by modeling the sequential patterns and behavioral dynamics of trajectories, they often neglect the heterogeneous semantic... | https://github.com/Ledingburger/HPG-DEMD | ICDE2026 |
PC-PS: A Multi-Dimensional Point-Cloud Data Publish/Subscribe System | https://doi.org/10.1109/ICDE65706.2026.00093 | [
"Yuanchi Fan",
"Lisi Chen",
"Shuo Shang",
"Christian S. Jensen"
] | With continued advances in LiDAR technologies, massive volumes of point-cloud data are being collected for use in an expanding range of applications. Point-cloud data include geographic coordinates along with additional attributes such as intensity and timestamp, enabling fine-grained modeling of urban and natural envi... | https://github.com/fanyuanchi/PointCloud.git | ICDE2026 |
TransLGX: A Self-Contained Model to Predict the Entire Lifecycle and Complete State of Logistics Package Trajectories | https://doi.org/10.1109/ICDE65706.2026.00094 | [
"Yichen Song",
"Jianfeng Zhou",
"Jian-Ya Ding",
"Renhao Cao"
] | This paper presents a novel logistics package trajectory prediction approach. This approach breaks away from the traditional Markov assumption for the first time by capturing the dynamic changes of the logistics network from previous trajectory events and covers the entire lifecycle and complete state of logistics pack... | https://github.com/Scholar-Song/TransLGX/blob/main/ | ICDE2026 |
SHMemora: Protective Key-Value Store on Distributed Shared Memory | https://doi.org/10.1109/ICDE65706.2026.00096 | [
"Jiajun Luo",
"Siyu Lin",
"Yunpeng Xu",
"Shengwei Liu",
"Jin Xia",
"Dong Liu",
"Zheng Liu",
"Huanchen Zhang",
"Teng Ma",
"Shuwen Deng"
] | Modern in-memory key-value stores (IMKVS) are essential for data-intensive applications but increasingly limited by memory capacity. Traditional scale-out over TCP/IP or RDMA incurs high overhead from network latency and data movement. Emerging Compute Express Link (CXL) enables nearlocal-latency shared memory across h... | # | ICDE2026 |
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