| 2025 | $\mathrm{E}^{3}\text{FS}$: Efficient, Secure, and Verifiable Fuzzy Search with Data Updates in Hybrid-Storage Blockchains. Pengcheng Sun, Lan Zhang, Jiandong Liu, Chen Tang, Jialiang Wang |
| 2025 | $t$DCDiscover: Mining Threshold Denial Constraints from Time Series Data. Xiaoou Ding, Muyun Zhou, Yida Liu, Zekai Qian, Chen Wang, Hongzhi Wang, Jianmin Wang |
| 2025 | 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025 |
| 2025 | A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou |
| 2025 | A Bilateral Perspective for Modeling Real-Time Traffic Trends in Live-Streaming Recommendation. Rui Li, Pengyuan Gao, Haihan Li, Ling Chai, Shaohao Huang, Ting Xie |
| 2025 | A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases. Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, Dingwen Tao, Hongpeng Wang, Wen Xia |
| 2025 | A Deep Dive into Protocol Design: How to Improve IPFS Performance without Sacrificing Decentralization. Wenbin Zhu, Zhaoyan Shen, Mengying Zhao, Dongxiao Yu, Bingzhe Li |
| 2025 | A Just-In-Time Framework for Routing-Oriented Traffic Prediction. Jing Zhao, Lei Li, Mengxuan Zhang, Haolun Ma, Xiaofang Zhou |
| 2025 | A Length Enhanced B Lianyin Jia, Shiqi Luo, Jiaman Ding, Suprio Ray, Mengjuan Li, Xiuxing Li |
| 2025 | A Message from the Chairs. Xiaofang Zhou, Qing Li, Angela Bonifati, Hans-Arno Jacobsen, Wenjie Zhang |
| 2025 | A Novel Key Point based MLCS Algorithm for Big Sequences Mining (Extended Abstract). Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui |
| 2025 | A Sketch Propagation Framework for Hub Queries on Unmaterialized Relational Graphs. Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang |
| 2025 | A Storage Model with Fine-Grained In-Storage Query Processing for Spatio-Temporal Data. Yang Guo, Tianyu Wang, Zizhan Chen, Zili Shao |
| 2025 | A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment. Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv |
| 2025 | A Unified Narrative for Query Processing in Graph Databases. Yue Pang, Lei Zou, M. Tamer Özsu |
| 2025 | A Zero-Training Error Correction System with Large Language Models. Yangyang Wu, Chen Yang, Mengying Zhu, Xiaoye Miao, Wei Ni, Meng Xi, Xinkui Zhao, Jianwei Yin |
| 2025 | A-DARTS: Stable Model Selection for Data Repair in Time Series. Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, Philippe Cudré-Mauroux |
| 2025 | A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui |
| 2025 | AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock |
| 2025 | AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. Xiuwen Li, Qifeng Cai, Yang Shu, Chenjuan Guo, Bin Yang |
| 2025 | AIGC for Graphs: Current Techniques and Future Trends. Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang |
| 2025 | ALT-Index: A Hybrid Learned Index for Concurrent Memory Database Systems. Yuxin Yang, Fang Wang, Mengya Lei, Peng Zhang, Dan Feng |
| 2025 | ARAG: Analysis and Retrieval Augmented Generation for Comprehensive Reasoning over Socioeconomic Data. Yixiong Xiao, Jingjia Cao, Yangxin Jiang, Jingbo Zhou |
| 2025 | Accelerating D-Core Maintenance over Dynamic Directed Graphs. Xuankun Liao, Qing Liu, Jiaxin Jiang, Byron Choi, Bingsheng He, Jianliang Xu |
| 2025 | Accelerating Shortest Path Counting on Road Networks. Zebin Chen, Kaiyu Chen, Dong Wen, Zhengyi Yang, Wentao Li, Ying Zhang |
| 2025 | Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong |
| 2025 | AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction. Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng |
| 2025 | Adaptive Data and Task Joint Scheduling for Multi-Task Learning. Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao |
| 2025 | Adaptive Local Clustering Over Attributed Graphs. Haoran Zheng, Renchi Yang, Jianliang Xu |
| 2025 | AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model. Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu |
| 2025 | Advancing Cloud-Native Cyber Threat Detection with Graph-Based Feature Engineering. Tailai Song, Mukharbek Organokov, Lennart Gulikers, Giulio Grassi, Giovanna Carofiglio, Michela Meo |
| 2025 | AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo |
| 2025 | All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. Shuheng Fang, Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Zhixun Li |
| 2025 | AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | An Adaptive Sampling Algorithm for the Top-$K$ Group Betweenness Centrality. Wenzheng Xu, Honglin Mao, Heng Shao, Weifa Liang, Jian Peng, Wen Huang, Zichuan Xu, Pan Zhou, Jeffrey Xu Yu |
| 2025 | An Efficient Memoization Engine for Concurrent Graph Query Processing. Sen Gao, Shengliang Lu, Shixuan Sun, Yuchen Li, Bingsheng He |
| 2025 | An Overview of Path Queries on Graphs. Wentao Li, Dong Wen, Lu Qin, Ying Zhang |
| 2025 | Analyzing and Optimizing Perturbation of DP-SGD Geometrically. Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun |
| 2025 | Anomaly Diagnosis with Siamese Discrepancy Networks in Distributed Cloud Databases. Lingsen Yan, Bolong Zheng, Junjie Qing, Wenlong You, Tingyang Chen, Zhi Xu, Shuncheng Liu, Kai Zeng, Tao Ye, Xiaofang Zhou |
| 2025 | Approximate Borderline Sampling Using Granular-Ball for Classification Tasks. Qin Xie, Qinghua Zhang, Shuyin Xia |
| 2025 | Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces. Yiqi Li, Sheng Wang, Zhiyu Chen, Shangfeng Chen, Zhiyong Peng |
| 2025 | Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors. Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas |
| 2025 | Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation. Zirui Hu, Rong Zhang, Chengcheng Yang, Xuan Zhou, Quanqing Xu, Chuanhui Yang |
| 2025 | Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection. Tianyu Mu, Hongzhi Wang, Chen Liang, Xinyue Shao |
| 2025 | Autumn: A Scalable Read Optimized LSM-Tree Based Key-Value Stores with Fast Point and Range Reads. Fuheng Zhao, Zach Miller, Leron Reznikov, Divyakant Agrawal, Amr El Abbadi |
| 2025 | BBS: Batch-Based Snapshot for the Cloud Database Backup. Xiaoshuang Peng, Xiaopeng Fan, Shi Cheng, Lingbin Meng, Cuiyun Fu, Wenchao Zhou, Chuliang Weng |
| 2025 | BFES: Towards Optimal Bayesian Frequency Estimation Sketches in Data-Streams. Francesco Da Dalt, Adrian Perrig |
| 2025 | BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract). Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li |
| 2025 | BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis. Xie Yu, Jingyuan Wang, Yifan Yang, Qian Huang, Ke Qu |
| 2025 | BL-Tree: The Best of Both Worlds by Combining B+- Tree on Top and LSM - Tree on Bottom. Suzhen Wu, Zuocheng Wang, Shengzhe Wang, Jiahong Chen, Chunfeng Du, Ke Zhou, Jie Zhang, Bo Mao |
| 2025 | BLEND: A Unified Data Discovery System. Mahdi Esmailoghli, Christoph Schnell, Renée J. Miller, Ziawasch Abedjan |
| 2025 | BOS: Bit-Packing with Outlier Separation. Jinzhao Xiao, Zihan Guo, Shaoxu Song |
| 2025 | BQSched: A Non-Intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning. Chenhao Xu, Chunyu Chen, Jinglin Peng, Jiannan Wang, Jun Gao |
| 2025 | BSG4Bot:Efficient Bot Detection Based on Biased Heterogeneous Subgraphs. Hao Miao, Zida Liu, Jun Gao |
| 2025 | Backdoor Graph Condensation. Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang |
| 2025 | Bargaining-Based Data Markets. Yuran Bi, Jinfei Liu, Kui Ren, Yihang Wu, Yang Cao |
| 2025 | Beyond Bandwidth Doubling: Embrace Bit-Flips and Unlock Processing-in-NAND. Maximilian Berens, Yun-Chih Chen, Jian-Jia Chen, Jens Teubner |
| 2025 | BiTDB: Constructing A Built-in TEE Secure Database for Embedded Systems (Extended Abstract). Chengyan Ma, Di Lu, Chaoyue Lv, Ning Xi, Xiaohong Jiang, Yulong Shen, Jian Feng Ma |
| 2025 | Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval. Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Jiajing Yu, Guisong Liu |
| 2025 | BitTuner: A Toolbox for Automatically Configuring Learned Data Compressors. Qiyu Liu, Yuxin Luo, Mengke Cui, Siyuan Han, Jingshu Peng, Jin Li, Lei Chen |
| 2025 | BlendHouse: A Cloud-Native Vector Database System in ByteHouse. Zhaojie Niu, Xinhui Tian, Xindong Peng, Xing Chen |
| 2025 | Boosting Accuracy and Efficiency for Vector Retrieval with Local Scaling Graph. Hongya Wang, Wenlong Wu, Cong Luo, Aobei Bian, Chunguang Meng, Yishuo Wu, Ji Sun |
| 2025 | Boosting End-to-End Database Isolation Checking via Mini-Transactions. Hengfeng Wei, Jiang Xiao, Na Yang, Si Liu, Zijing Yin, Yuxing Chen, Anqun Pan |
| 2025 | Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues. Yujie Fang, Xin Li, Yuangang Pan, Xin Huang, Ivor W. Tsang |
| 2025 | Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems. Yicheng Sui, Xiaotian Wang, Tianyu Cui, Tong Xiao, Chenghao He, Shenglin Zhang, Yuzhi Zhang, Xiao Yang, Yongqian Sun, Dan Pei |
| 2025 | CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs. Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao |
| 2025 | CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. Ziyu Song, Jie Zhang, Jie Sun, Mo Sun, Zihan Yang, Zheng Zhang, Xuzheng Chen, Fei Wu, Huajin Tang, Zeke Wang |
| 2025 | CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management. Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang |
| 2025 | CDA: Cost-Sensitive Data Acquisition for Incomplete Datasets. Kaiyu Li, Xiaohui Yu, Jian Pei |
| 2025 | CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement. Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu, Aoying Zhou, Lin Zhou |
| 2025 | CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL. Meng Zhang, Kexin Ma, Liyang Xu, Kedi Zhang, Yuanxi Peng, Ruochun Jin |
| 2025 | CSKQS: A Query System for Collective Spatial Keyword Queries. Harry Kai-Ho Chan |
| 2025 | CaliEX: A Disk-Based Large-Scale GNN Training System with Joint Design of Caching and Execution. Can Su, Haipeng Zhang, Hanyu Zhao, Wenting Shen, Baole Ai, Yong Li, Kaigui Bian, Bin Cui |
| 2025 | Catch Me If You Can: A Multi-Agent Synthetic Fraud Detection Framework for Complex Networks. Qianyu Wang, Wei-Tek Tsai, Tianyu Shi, Zhuang Liu, Bowen Du |
| 2025 | CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract). Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | ChainsFormer: Numerical Reasoning on Knowledge Graphs From a Chain Perspective. Ze Zhao, Bin Lu, Xiaoying Gan, Gu Tang, Luoyi Fu, Xinbing Wang |
| 2025 | Chameleon: Adaptive and Scalable Stream Processing Over Sensor Sources. Dimitrios Giouroukis, Varun Pandey, Steffen Zeuch, Volker Markl |
| 2025 | Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang |
| 2025 | Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models. Boyan Xu, Yuyuan Cai, Shaobin Shi, Zhifeng Hao, Ruichu Cai |
| 2025 | Clique Comparator: A Fundamental Operator for Finding a Concise Clique Summary. Xiaofan Li, Rui Zhou, Lu Chen, Chengfei Liu |
| 2025 | CloudyBench: A Testbed for A Comprehensive Evaluation of Cloud-Native Databases. Chao Zhang, Guoliang Li, Leyao Liu, Tao Lv, Ju Fan |
| 2025 | Collaborative Imputation for Multivariate Time Series with Convergence Guarantee. Yu Sun, Xinyu Yang, Shaoxu Song, Ying Zhang, Xiaojie Yuan |
| 2025 | Columnar Formatted Inverted Index for Highly-Paralleled, Vectorized Query Processing. Weichen Zhao, Minghao Zhao, Huiqi Hu, Weining Qian |
| 2025 | CommunityDF: A Guided Denoising Diffusion Approach for Community Search. Jiazun Chen, Yikuan Xia, Jun Gao, Zhao Li, Hongyang Chen |
| 2025 | Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning. Tingyang Chen, Bolong Zheng, Shuncheng Liu, Zhujiong Fan, Zhi Xu, Lingsen Yan, Kai Zeng, Tao Ye, Xiaofang Zhou |
| 2025 | Computing Shapley Values in Preference Queries. Jiayao Zhang, Chirong Zhang, Jian Pei, Xuan Luo, Jianliang Xu, Jinfei Liu |
| 2025 | Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang |
| 2025 | Consistency-Aware Scalable and Authenticated Learned Index for Range Query. Ningning Cui, Dong Wang, Huaijie Zhu, Mo Li, Jingxian Cheng, Jianxin Li, Xiaochun Yang |
| 2025 | CrossEM: A Prompt Tuning Framework for Cross-Modal Entity Matching. Qin Yuan, Ye Yuan, Zhenyu Wen, Chi Chen, Guoren Wang |
| 2025 | CrossETR: A Semantic-Driven Framework for Entity Matching Across Images and Graph. Qin Yuan, Zhenyu Wen, Jiaxu Qian, Ye Yuan, Guoren Wang |
| 2025 | CrossST: An Efficient Pre-Training Framework for Cross-District Pattern Generalization in Urban Spatio-Temporal Forecasting. Aoyu Liu, Yaying Zhang |
| 2025 | CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs. Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui |
| 2025 | DAG*: A Novel A*-Alike Algorithm for Optimal Workflow Execution Across IoT Platforms. Errikos Streviniotis, Dimitrios Banelas, Nikos Giatrakos, Antonios Deligiannakis |
| 2025 | DATA-WA: Demand-Based Adaptive Task Assignment with Dynamic Worker Availability Windows. Jinwen Chen, Jiannan Guo, Dazhuo Qiu, Yawen Li, Guanhua Ye, Yan Zhao, Kai Zheng |
| 2025 | DBMS with CXL Memory: What's New and What's Next. Yunyan Guo, Zhuopeng Li, Guoliang Li |
| 2025 | DELRec: Distilling Sequential Pattern to Enhance LLMs-Based Sequential Recommendation. Haoyi Zhang, Guohao Sun, Jinhu Lu, Guanfeng Liu, Xiu Susie Fang |
| 2025 | DEPA-Delta Shifting and Distribution Shaping for Efficient Adaptive Indexing. Ahmad Khazaie, Holger Pirk |
| 2025 | DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis. Yudong Zhang, Xu Wang, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang |
| 2025 | DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min |
| 2025 | DaVinci Sketch: A Versatile Sketch for Efficient and Comprehensive Set Measurements. Yanshu Wang, Jianan Ji, Chao-Hsuan Liu, Hengyang Zhou, Tong Yang |
| 2025 | Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies. Satoru Watanabe |
| 2025 | Data Driven Decision Making with Time Series and Spatio-Temporal Data. Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen |
| 2025 | Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. Xi He, Kai Huang, Qingqing Ye, Haibo Hu |
| 2025 | DataLab: A Unified Platform for LLM-Powered Business Intelligence. Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, Ruiqin Chen, Haozhe Feng, Chen Hou, Danqing Huang, Yang Li, Huaming Rao, Haonan Wang, Canshi Wei, Xiaofeng Yang, Yuhui Zhang, Yifeng Zheng, Xiuqi Huang, Minfeng Zhu, Yuxin Ma, Bin Cui, Peng Chen, Wei Chen |
| 2025 | DataMorpher: Automatic Data Transformation Using LLM-Based Zero-Shot Code Generation. Ankita Sharma, Jaykumar Tandel, Xuanmao Li, Lanjun Wang, Anna Fariha, Liang Zhang, Syed Arsalan Ahmed Naqvi, Irbaz Bin Riaz, Lei Cao, Jia Zou |
| 2025 | DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training. Keer Lu, Xiaonan Nie, Zheng Liang, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang |
| 2025 | DataVisT5: A Pre-Trained Language Model for Jointly Understanding Text and Data Visualization. Zhuoyue Wan, Yuanfeng Song, Shuaimin Li, Chen Jason Zhang, Raymond Chi-Wing Wong |
| 2025 | Dataset Discovery via Line Charts. Daomin Ji, Hui Luo, Zhifeng Bao, J. Shane Culpepper |
| 2025 | Db2une: Tuning IBM Db2 with Deep Learning. Alexander Bianchi, Rafael Dolores, Andrew Chai, Vincent Corvinelli, Parke Godfrey, Jarek Szlichta, Calisto Zuzarte |
| 2025 | Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning. Wenhan Wu, Yili Gong, Jiawei Jiang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng |
| 2025 | Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching. Yafeng Tang, Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu, Huan Hu |
| 2025 | DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas |
| 2025 | Differentially Private Triangle Counting Assisted by $k$-Anonymity in Two-Party Models. Tingxuan Han, Wei Tong, Sheng Zhong |
| 2025 | Distributed Evaluation of Graph Queries Using Recursive Relational Algebra. Sarah Chlyah, Pierre Genevès, Nabil Layaïda |
| 2025 | DreamCreek: AI for Battery Formation and Grading. Wenfei Fan, Yang Leng, Daji Li, Shuhao Liu, Mingliang Ouyang, Yaoshu Wang, Min Xie, Qiang Yuan |
| 2025 | Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy. Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu |
| 2025 | DyFMVP: Say Goodbye to Staleness! Fresh Memory Vigorous Preserver for Continuous-Time Dynamic Graph. Jianye Pang, Xinjie Zhu, Xiaofei Xiong |
| 2025 | EAST: An Interpretable Knob Estimation System for Cloud Database. Yu Yan, Hongzhi Wang, Jian Geng, Zixuan Wang, Xingyan Li, Tianqing Wang |
| 2025 | EPAS: Efficient Online Log Parsing via Asynchronous Scheduling of LLM Queries. Xiaolei Chen, Jia Chen, Jie Shi, Peng Wang, Wei Wang |
| 2025 | EasyTime: Time Series Forecasting Made Easy. Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang |
| 2025 | Effective Task Assignment in Mobility Prediction-Aware Spatial Crowdsourcing. Huiling Li, Yafei Li, Wei Chen, Shuo He, Mingliang Xu, Jianliang Xu |
| 2025 | Effective and General Distance Computation for Approximate Nearest Neighbor Search. Mingyu Yang, Wentao Li, Jiabao Jin, Xiaoyao Zhong, Xiangyu Wang, Zhitao Shen, Wei Jia, Wei Wang |
| 2025 | Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng |
| 2025 | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | Efficient $\eta$-Threshold Maintenance in Dynamic Uncertain Graphs. Yu Chen, Qing Liu, Yifan Zhu, Yunjun Gao |
| 2025 | Efficient $k$-Truss Breaking and Minimization. Ruicheng Zhu, Xintong Wang, Kai Wang, Fan Zhang, Zhengping Qian, Long Yuan |
| 2025 | Efficient Core Propagation Based Hierarchical Graph Clustering. Jinbin Huang, Zihan Jia, Xin Huang |
| 2025 | Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach. Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianran He, Yi Xu |
| 2025 | Efficient Dynamic Attributed Graph Generation. Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin |
| 2025 | Efficient Execution of SPARQL Queries with OPTIONAL and UNION Expressions. Yue Pang, Lei Zou, M. Tamer Özsu, Jiaqi Chen |
| 2025 | Efficient Frequency-Aware k-Core Query on Temporal Graphs. Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu |
| 2025 | Efficient Indexing for Label-Constrained Cohesive Subgraph Queries Over Large Graphs. Xin Deng, Peng Peng, Chuanyu Liu, Xianyan Xie, Hui Zhou, Zheng Qin |
| 2025 | Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding. Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li |
| 2025 | Efficient Learning-Based Graph Simulation for Temporal Graphs. Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang |
| 2025 | Efficient Maximum Balanced k-biplex Search Over Bipartite Graphs. Long Yuan, Junyue Xu, Zi Chen, Chuan Ma, Jianqiu Xu, Lu Qin |
| 2025 | Efficient Maximum Fair Clique Search Over Large Networks. Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang |
| 2025 | Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching. Wei Tian, Jieming Shi, Man Lung Yiu |
| 2025 | Efficient Mixed Precision Quantization in Graph Neural Networks. Samir Moustafa, Nils M. Kriege, Wilfried N. Gansterer |
| 2025 | Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao |
| 2025 | Efficient Projection-Based Algorithms for Tip Decomposition on Dynamic Bipartite Graphs (Extended Abstract). Tongfeng Weng, Yumeng Liu, Mo Sha, Xinyuan Chen, Xu Zhou, Kenli Li, Kian-Lee Tan |
| 2025 | Efficient Pruning via Entailment Cardinality Estimation for Fast Top-Down Logic Rule Mining. Ruoyu Wang, Raymond Wong, Daniel Sun |
| 2025 | Efficient Route and Area Matching Query in Dynamic Road Networks. Yikun Wang, Dian Ouyang, Zhuoran Wang, Dong Wen, Xuemin Lin |
| 2025 | Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data (Extended abstract). Jingxuan He, Xixian Han, Xiaolong Wan, Jinbao Wang |
| 2025 | Efficient Structural Clustering Over Hypergraphs. Dong Pan, Xu Zhou, Lingwei Li, Quanqing Xu, Chuanhui Yang, Chenhao Ma, Kenli Li |
| 2025 | Efficient Temporal Simple Path Graph Generation. Zhiyang Tang, Yanping Wu, Xiangjun Zai, Chen Chen, Xiaoyang Wang, Ying Zhang |
| 2025 | Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract). Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen |
| 2025 | Enabling Light-Weight Reasoning via Cypher Triggers. Davide Magnanimi, Andrea Colombo, Luigi Bellomarini, Anna Bernasconi, Stefano Ceri, Davide Martinenghi |
| 2025 | Enhance Stability of Network by Edge Anchor. Hongbo Qiu, Renjie Sun, Chen Chen, Xiaoyang Wang |
| 2025 | Enhancing Large-Scale Entity Alignment with Critical Structure and High-Quality Context. Qian Zhou, Wei Chen, Li Zhang, Pengpeng Zhao, Jiajie Xu, Lei Zhao |
| 2025 | Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification. Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, Kai Zheng |
| 2025 | Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts? Nico Lässig, Melanie Herschel |
| 2025 | Explaining Expert Search and Team Formation Systems with ExES. Kiarash Golzadeh, Lukasz Golab, Jarek Szlichta |
| 2025 | Explore the Disentanglement Mechanism for Deep Learning. Haiquan Qiu, Quanming Yao |
| 2025 | Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data. Rui Kang, Shaoxu Song, Jianmin Wang |
| 2025 | Extendible RDMA-Based Remote Memory KV Store with Dynamic Perfect Hashing Index. Zirui Liu, Xian Niu, Wei Zhou, Yisen Hong, Zhouran Shi, Tong Yang, Yuchao Zhang, Yuhan Wu, Yikai Zhao, Zhuochen Fan, Bin Cui |
| 2025 | FAHL: An Efficient Labeling Index for Flow-Aware Shortest Path Querying in Road Networks. Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng |
| 2025 | FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen |
| 2025 | Facility Location for Fair and Equitable Query Results. Sara Cohen, Helen Sternbach |
| 2025 | Fairness-Aware Active Online Learning with Changing Environments. Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Earl Grant, Feng Chen |
| 2025 | Fast Maximization of Current Flow Group Closeness Centrality. Haisong Xia, Zhongzhi Zhang |
| 2025 | Fast Private Retrieval on Key-Value Store with Multiple Values per Key. Fangming Dong, Pinghui Wang, Yuance Wang, Chen Zhang, Lizhen Cui |
| 2025 | Fast and Exact Similarity Search in Less than a Blink of an Eye. Patrick Schäfer, Jakob Brand, Ulf Leser, Botao Peng, Themis Palpanas |
| 2025 | Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao |
| 2025 | FeVisQA: Free-Form Question Answering over Data Visualizations. Yuanfeng Song, Jinwei Lu, Yuanwei Song, Caleb Chen Cao, Raymond Chi-Wing Wong, Haodi Zhang |
| 2025 | Featpilot: Automatic Feature Augmentation on Tabular Data. Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala |
| 2025 | FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction. Juntao Liang, Lan Zhang, Xiangmou Qu, Jun Wang |
| 2025 | FedRoad: Secure and Efficient Road Network Queries over Traffic Data Federation. Shuai Huang, Guoliang Li, Wei Zhou |
| 2025 | FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning. Jihoon Moon, Ling Liu, Hyuk-Yoon Kwon |
| 2025 | Federated Data Analytics with Differentially Private Density Estimation Model. Jiayi Wang, Lei Cao, Chengliang Chai, Guoliang Li |
| 2025 | Federated Trajectory Similarity Learning with Privacy-Preserving Clustering. Hao Miao, Ziqiao Liu, Yan Zhao, Kai Zheng, Yupu Zhang, Christian S. Jensen |
| 2025 | Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas |
| 2025 | Finding Near-Optimal Maximum Set of Disjoint $k$-Cliques in Real-World Social Networks. Xin Chen, Wenqing Lin, Haoxuan Xie, Sibo Wang, Siqiang Luo |
| 2025 | Finding a Summary for All Maximal Bicliques. Xintong Yu, Rui Zhou, Xiaofan Li, Lu Chen, Chengfei Liu |
| 2025 | FlowFill: A Fast and Energy-Efficient Streaming Framework for Recovering Missing Values in Industrial Sensor Data. Hao Huang, Scott Evans |
| 2025 | FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Streams. Zheng Qin, Zheheng Liang, Lijie Xu, Wentao Wu, Mingchao Wu, Wuqiang Shen, Wei Wang |
| 2025 | FrontOrder: Frontier-Guided Graph Reordering. Xinmiao Zhang, Cheng Liu, Shengwen Liang, Chenwei Xiong, Yu Zhang, Lei Zhang, Huawei Li, Xiaowei Li |
| 2025 | GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi |
| 2025 | GEX: Guiding Expert Tuning with eXplainable AI. Andrew Chai, Alexander Bianchi, Vincent Corvinelli, Parke Godfrey, Jarek Szlichta, Calisto Zuzarte |
| 2025 | GFlux: A Fast GPU-Based Out-of-Memory Multi-Hop Query Processing Framework for Trillion-Edge Graphs. Seyeon Oh, Heeyong Yoon, Donghyoung Han, Min-Soo Kim |
| 2025 | GRACEFUL: A Learned Cost Estimator for UDFs. Johannes Wehrstein, Tiemo Bang, Roman Heinrich, Carsten Binnig |
| 2025 | GalaxyView: Property Graph Transformation for Materialized View Generation. Bing Tong, Jianheng Tang, Yan Zhou, Chen Zhang, Jia Li, Lei Chen |
| 2025 | Generalized Measure-Biased Sampling and Priority Sampling: (Extended Abstract). Zhao Chang, Feifei Li, Yulong Shen |
| 2025 | GeoTP: Latency-Aware Geo-Distributed Transaction Processing in Database Middlewares. Qiyu Zhuang, Xinyue Shi, Shuang Liu, Wei Lu, Zhanhao Zhao, Yuxing Chen, Tong Li, Anqun Pan, Xiaoyong Du |
| 2025 | GraphEx: A Graph-Based Extraction Method for Advertiser Keyphrase Recommendation. Ashirbad Mishra, Soumik Dey, Hansi Wu, Jinyu Zhao, He Yu, Kaichen Ni, Binbin Li, Kamesh Madduri |
| 2025 | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2025 | Graphint: Graph-Based Time Series Clustering Visualisation Tool. Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas |
| 2025 | Grounding Natural Language to SQL Translation with Data-Based Self-Explanations. Yuankai Fan, Tonghui Ren, Can Huang, Zhenying He, X. Sean Wang |
| 2025 | Guiding Index Tuning Exploration with Potential Estimation. Kecheng Luo, Ruiyang Ma, Peng Cai, Aoying Zhou, Zhiwei Ye, Dunbo Cai, Ling Qian |
| 2025 | HAIDES: Adaptive Approximation of Inference Queries over Unstructured Data. Christos C. Papadopoulos, Alkis Simitsis, Torben Bach Pedersen |
| 2025 | HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock |
| 2025 | HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores. Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Yaofeng Tu |
| 2025 | HIGGS: HIerarchy-Guided Graph Stream Summarization. Xuan Zhao, Xike Xie, Christian S. Jensen |
| 2025 | HINSCAN: Efficient Structural Graph Clustering Over Heterogeneous Information Networks. Long Yuan, Xiaotong Sun, Zi Chen, Peng Cheng, Longbin Lai, Xuemin Lin |
| 2025 | HRLMS: A Data-Driven Hierarchical Reinforcement Learning System for Interactive Rule Intervention and Visualization. Haodi Zhang, Xiangyu Zeng, Chen Zhang, Yuanfeng Song, Kaishun Wu |
| 2025 | Hamava: Fault-tolerant Reconfigurable Geo-Replication on Heterogeneous Clusters. Teias Mane, Xiao Li, Mohammad Sadoghi, Mohsen Lesani |
| 2025 | Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning. Jianing Si, Haitao Yuan, Xiang Li, Nan Jiang, Xiao Ma, Guoliang Li, Shangguang Wang |
| 2025 | Heterogeneous-Aware Traffic Prediction: A Privacy-Preserving Federated Learning Framework. Zhihao Zeng, Ziquan Fang, Yuting Huang, Qilong Wang, Lu Chen, Yunjun Gao |
| 2025 | HiVQ: A Real-time Interactive Visual Query System on Geospatial Big Data. Zebang Liu, Anran Yang, Mengyu Ma, Luo Chen, Jiali Zhou, Ning Jing |
| 2025 | High Throughput Shortest Distance Query Processing on Large Dynamic Road Networks. Xinjie Zhou, Mengxuan Zhang, Lei Li, Xiaofang Zhou |
| 2025 | Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning. Jinchuan Zhang, Ming Sun, Chong Mu, Jinhao Zhang, Quanjiang Guo, Ling Tian |
| 2025 | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang |
| 2025 | HourglassSketch: An Efficient and Scalable Framework for Graph Stream Summarization. Jiarui Guo, Boxuan Chen, Kaicheng Yang, Tong Yang, Zirui Liu, Qiuheng Yin, Sha Wang, Yuhan Wu, Xiaolin Wang, Bin Cui, Tao Li, Xi Peng, Renhai Chen, Gong Zhang |
| 2025 | How to Answer Secure and Private SQL Queries? Qiyao Luo, Quanqing Xu, Chuanhui Yang |
| 2025 | Hybrid DRAM-NVM R-Trees with Consistency Guarantee. Kaiqi Zhang, Chengyou Shen, Siyuan Zhang, Shengfei Shi, Hong Gao, Yaofeng Tu, Jianzhong Li |
| 2025 | Hyper: Hybrid Physical Design Advisor with Multi-agent Reinforcement Learning. Zhicheng Pan, Yuanjia Zhang, Chengcheng Yang, Ahmad Ghazal, Rong Zhang, Huiqi Hu, Xiaoju Wu, Yu Dong, Xuan Zhou |
| 2025 | Hyperedge Graph Contrastive Learning [Extended abstract]. Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao |
| 2025 | Hyperion: Co-Optimizing SSD Access and GPU Computation for Cost-Efficient GNN Training. Jie Sun, Mo Sun, Zheng Zhang, Zuocheng Shi, Jun Xie, Zihan Yang, Jie Zhang, Zeke Wang, Fei Wu |
| 2025 | Hyperscale Resilient Buffer Pool Extension in Azure SQL Database. Rogério Ramos, Prashanth Purnananda, Hanuma Kodavalla, Chaitanya Gottipati, Harshil Ambagade, Ankit Anvesh, Srikanth Sampath |
| 2025 | Hypersistent Sketch: Enhanced Persistence Estimation via Fast Item Separation. Lu Cao, Qilong Shi, Weiqiang Xiao, Nianfu Wang, Wenjun Li, Zhijun Li, Weizhe Zhang, Mingwei Xu |
| 2025 | IKGA: An Interactive Visualization Tool for Knowledge Graph Alignment. Weixin Zeng, Shiqi Zhang, Huang Peng, Zhen Tan, Weidong Xiao, Xiang Zhao |
| 2025 | Identifying Maximum Defective Bicliques in Large Bipartite Graphs. Zhiyi Wang, Lijun Chang, Jeffrey Xu Yu |
| 2025 | Imputing Sparse and Noisy Labels for GNNs. Wenfei Fan, Kehan Pang, Chao Tian |
| 2025 | Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures. Ankit Chaudhary, Kaustubh Beedkar, Jeyhun Karimov, Felix Lang, Steffen Zeuch, Volker Markl |
| 2025 | Indexing Labeled Property Multidigraphs in Entropy Space, with Applications. Hongwei Huo, Yongze Yu, Zongtao He, Jeffrey Scott Vitter |
| 2025 | Indexing Strings with Utilities. Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Veronica Guerrini, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis |
| 2025 | Interactive Learning for Diverse Top-k Set. Weicheng Wang, Raymond Chi-Wing Wong, Jinyang Li, H. V. Jagadish |
| 2025 | Interactive Search with Reinforcement Learning. Weicheng Wang, Victor Junqiu Wei, Min Xie, Di Jiang, Lixin Fan, Haijun Yang |
| 2025 | Interpretable Video based Stress Detection with Self-Refine Chain Reasoning. Yi Dai, Yang Ding, Lei Cao, Kaisheng Zeng, Junrui Tian, Zexi Lin, Ling Feng |
| 2025 | Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract). Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu |
| 2025 | Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors. Dehua Zhou, Bowei Wu, Ke Wang, Qifen Yang, Yuhui Deng, Siu-Ming Yiu |
| 2025 | IsGCL: Informative Sample-Aware Progressive Graph Contrastive Learning. Juxiang Zeng, Pinghui Wang, Linbo Ma, Jing Tao, Xiaohong Guan |
| 2025 | Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency. Wenzhe Yang, Sheng Wang, Zhiyu Chen, Yuan Sun, Zhiyong Peng |
| 2025 | Joint Dependency and Conflicting Task Allocation in Collaboration-Aware Spatial Crowdsourcing. Jiajun Yao, Lei Yang, Hao Liu, Hui Xiong |
| 2025 | KARMAD: KAN-Based Adversarial Robust Model for Anomaly Detection. Fangke Chen, Xiaotian Qiu, Yihan Ye, Ruyue Jing, Yining Chen, Dawei Gao |
| 2025 | Kairos: Enabling Prompt Monitoring of Information Diffusion Over Temporal Networks (Extended Abstract). Haifa Gaza, Jaewook Byun |
| 2025 | Know Your Account: Double Graph Inference-Based Account De-Anonymization on Ethereum. Shuyi Miao, Wangjie Qiu, Hongwei Zheng, Qinnan Zhang, Xiaofan Tu, Xunan Liu, Yang Liu, Jin Dong, Zhiming Zheng |
| 2025 | KnowTrans: Boosting Transferability of Data Preparation LLMs via Knowledge Augmentation. Yuhang Ge, Fengyu Li, Yuren Mao, Yanbo Yang, Congcong Ge, Zhaoqiang Chen, Jiang Long, Yunjun Gao |
| 2025 | LETFramework: Let the Universal Sketch be Accurate. Ruijie Miao, Xiangwei Deng, Zicang Xu, Ziyun Zhang, Tong Yang |
| 2025 | LIFTus: An Adaptive Multi-Aspect Column Representation Learning for Table Union Search. Ermu Qiu, Jun Gao, Yaofeng Tu, Jingru Yang |
| 2025 | LORE: Learning-Based Resource Recommendation for Big Data Queries. Yan Li, Liwei Wang, Bolong Zheng, Zhiyong Peng |
| 2025 | LOVO: Efficient Complex Object Query in Large-Scale Video Datasets. Yuxin Liu, Yuezhang Peng, Hefeng Zhou, Hongze Liu, Xinyu Lu, Jiong Lou, Chentao Wu, Wei Zhao, Jie Li |
| 2025 | LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks. Songyao Wang, Chaokun Wang, Fang Niu, Cheng Wu |
| 2025 | Large-Scale Private Computation for Real-World Applications via Trusted Hardware and Obliviousness. Ioannis Demertzis |
| 2025 | Large-Scale Spatiotemporal Kernel Density Visualization. Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen |
| 2025 | Learnable Sparse Customization in Heterogeneous Edge Computing. Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang |
| 2025 | Learned Compression of Nonlinear Time Series with Random Access. Andrea Guerra, Giorgio Vinciguerra, Antonio Boffa, Paolo Ferragina |
| 2025 | Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract). Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li |
| 2025 | Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems. Yuxing Han, Lixiang Chen, Haoyu Wang, Zhanghao Chen, Yifan Zhang, Chengcheng Yang, Kongzhang Hao, Zhengyi Yang |
| 2025 | Leveraging Heterogeneous Experts with Advantageous Pattern Memory Learning for Traffic Prediction. Yueyang Yao, Xingyuan Dai, Yisheng Lv |
| 2025 | Leveraging LLMs for Diffusion Prediction in Social Networks: A Fused Attention-aware Model. Wenbo Shang |
| 2025 | LineageX: A Column Lineage Extraction System for SQL. Shi Heng Zhang, Zhengjie Miao, Jiannan Wang |
| 2025 | Local-to-Cloud Database Synchronization via Fine-Grained Hybrid Compression. Guoying Zhu, Haipeng Dai, Kang Yuan, Qian Wang, Lida Chen, Zhenghong Luo, Meng Li, Rong Gu, Xizi Ni, Hua Fan, Dachao Fu, Wenchao Zhou |
| 2025 | Loom: A Deterministic Execution Framework Towards Nested Contract Transactions. Huan Zhang, Xiaodong Qi, Haibo Tang, Zhao Zhang, Cheqing Jin, Aoying Zhou |
| 2025 | M Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen |
| 2025 | MARIOH: Multiplicity-Aware Hypergraph Reconstruction. Kyuhan Lee, Geon Lee, Kijung Shin |
| 2025 | MC Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue |
| 2025 | MEST: An Efficient Authenticated Secondary Index in Blockchain Systems. Jinping Jia, Yichen Gao, Yifei Zhen, Zhao Zhang, Qian Kun, Cheqing Jin |
| 2025 | MISS: An Incomplete Tabular Data Representation System with Missing Mechanism Learning. Yangyang Wu, Shuwei Liang, Lei Qiang, Xiaoye Miao, Xinkui Zhao, Junlan Cai, Yunjun Gao, Jianwei Yin |
| 2025 | MITra: Populating Graph Traversal Algorithms. Wenyue Zhao, Jia Li, Yang Cao, Nikos Ntarmos |
| 2025 | MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang |
| 2025 | MSPR: A Multi-Scenario Player Recommendation Framework for Online Gaming. Minghao Chen, Haodong Chen, Yi Zeng, Zhenfeng Liang |
| 2025 | Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion. Qingfeng Pan, Jiahe Zhi, Chenyang Zhang, Chen Xu, Zhao Zhang, Anita Shao, Guanglei Bao, Qiu Cui, Xiaowei Chen, Aoying Zhou |
| 2025 | Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data. Heitor Murilo Gomes, Nuwan Gunasekara, Yibin Sun |
| 2025 | Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching. Wenyi Liang, Jianchun Liu, Hongli Xu, Chunming Qiao, Liusheng Huang |
| 2025 | MaskSearch: Querying Image Masks at Scale. Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska |
| 2025 | MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus. Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu |
| 2025 | Maximal Clique Enumeration with Hybrid Branching and Early Termination. Kaixin Wang, Kaiqiang Yu, Cheng Long |
| 2025 | Maximal Similar-Weight Biclique Enumeration for Large Bipartite Graphs. Jianye Yang, Lei Xing, Ziyi Ma, Xi Luo, Cuiyun Gao, Xuemin Lin |
| 2025 | MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling. Yang Wu, Xuanhe Zhou, Xiaoguang Li, Jinhuai Kang, Chunxiao Xing, Tongliang Li, Xinjun Yang, Wenchao Zhou, Feifei Li, Yong Zhang |
| 2025 | Meta-Learning Based CTR Algorithm Selection and Hyperparameter Optimization. Chunnan Wang, Junzhe Wang, Xiang Chen, Xintong Song, Tianyu Mu, Hongzhi Wang |
| 2025 | MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning. Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Junhui Wang |
| 2025 | Model-Accuracy Aware Query Routing for Smart Logistics Service. Shanshan Huang, Zhiwei Ye, Peng Cai, Qiwen Dong |
| 2025 | More Bang for Your Buck(et): Fast and Space-Efficient Hardware-Accelerated Coarse-Granular Indexing on GPUs. Justus Henneberg, Felix Martin Schuhknecht, Rosina Kharal, Trevor Brown |
| 2025 | Most Probable Maximum Weighted Butterfly Search. Yu Shao, Peng Cheng, Longbin Lai, Long Yuan, Wangze Ni, Xuemin Lin |
| 2025 | MuSha: Subgraph Matching by Multilevel Sharing. Hongtai Cao, Qihao Wang, Xiaodong Li, Mohammad Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng |
| 2025 | Multi-Class Item Mining Under Local Differential Privacy. Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu |
| 2025 | MultiRAG: A Knowledge-Guided Framework for Mitigating Hallucination in Multi-Source Retrieval Augmented Generation. Wenlong Wu, Haofen Wang, Bohan Li, Peixuan Huang, Xinzhe Zhao, Lei Liang |
| 2025 | NRP: An Efficient Index for Stochastic Routing in Road Networks. Libin Wang, Raymond Chi-Wing Wong |
| 2025 | Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey (Extended Abstract). Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang |
| 2025 | Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. Bojan Karlas, Babak Salimi, Sebastian Schelter |
| 2025 | No Rule is Forever: Datalog Reasoning with Rule Amendments. Weiqin Xu, Riccardo Tommasini, Olivier Curé |
| 2025 | Numerical Estimation of Spatial Distributions Under Differential Privacy. Leilei Du, Peng Cheng, Libin Zheng, Xiang Lian, Lei Chen, Wei Xi, Wangze Ni |
| 2025 | O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams: (Extended Abstract). Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa |
| 2025 | OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing. Peng Fang, Siqiang Luo, Fang Wang, Bolong Zheng, Hong Jiang, Dan Feng, Hechang Pan, Xingyu Wan |
| 2025 | OOCC: One-Round Optimistic Concurrency Control for Read-Only Disaggregated Transactions. Hao Wu, Mingxing Zhang, Kang Chen, Xia Liao, Yingdi Shan, Yongwei Wu |
| 2025 | OSTOR: Online Scheduling Framework for Trading Continuous Queries. Jin Cheng, Ningning Ding, John C. S. Lui, Jianwei Huang |
| 2025 | OceanBase Unitization: Building the Next Generation of Online Map Applications. Quanqing Xu, Wei Sun, Chuanhui Yang, Jinlong Liu, Ziyun Wei, Fusheng Han, Liang Wang, Xiaowei Zhai |
| 2025 | On Scalable Query Pricing in Data Marketplaces. Huanhuan Peng, Xiaoye Miao, Yicheng Fu, Jinshan Zhang, Shuiguang Deng, Jianwei Yin |
| 2025 | On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable $k$-Means. Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng |
| 2025 | On Temporal-Constraint Subgraph Matching. Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li |
| 2025 | OneRoundSTL: In-Database Seasonal-Trend Decomposition. Zijie Chen, Shaoxu Song, Jianmin Wang |
| 2025 | Online Feature Selection with Varying Feature Spaces (Extended Abstract). Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shuqiang Huang |
| 2025 | Online Federated Learning on Distributed Unknown Data Using UAVs. Xichong Zhang, Haotian Xu, Yin Xu, Mingjun Xiao, Jie Wu, Jinrui Zhou |
| 2025 | Online Timestamp-Based Transactional Isolation Checking of Database Systems. Hexu Li, Hengfeng Wei, Hongrong Ouyang, Yuxing Chen, Na Yang, Ruohao Zhang, Anqun Pan |
| 2025 | OptMatch: An Efficient and Generic Neural Network-Assisted Subgraph Matching Approach. Wenzhe Hou, Xiang Zhao, Bo Tang |
| 2025 | Optimizing Cloud Data Lake Queries by Minimizing the Query Coverage Set. Grisha Weintraub, Ehud Gudes, Shlomi Dolev |
| 2025 | Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsourcing. Ximu Zeng, Jianxing Lin, Liwei Deng, Yuchen Fang, Yan Zhao, Kai Zheng |
| 2025 | Optimizing Queries with Many-to-Many Joins. Hasara Kalumin, Amol Deshpande |
| 2025 | Orthrus: Accelerating Multi-BFT Consensus Through Concurrent Partial Ordering of Transactions. Hanzheng Lyu, Shaokang Xie, Jianyu Niu, Ivan Beschastnikh, Yinqian Zhang, Mohammad Sadoghi, Chen Feng |
| 2025 | PAS: Plug-and-Play Prompt Augmentation System. Miao Zheng, Hao Liang, Fan Yang, Bin Cui, Zenan Zhou, Wentao Zhang |
| 2025 | PBSM: Predictive Bi-Preference Stable Matching in Spatial Crowdsourcing. Yuan Xie, Yumeng Liu, Xu Zhou, Yifang Yin, Kenli Li, Roger Zimmermann |
| 2025 | PFCA: Efficient Path Filtering with Causal Analysis for Healthcare Risk Prediction. Hao Wang, Jiyun Shi, Yuhao Chen, Haochen Xu, Chi Zhang, Zhaojing Luo, Meihui Zhang |
| 2025 | PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa |
| 2025 | Path-Based Summary Explanations for Graph Recommenders. Danae Pla Karidi, Evaggelia Pitoura |
| 2025 | Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu |
| 2025 | Pilos: Scalable Large-Subgraph Matching by Online Spectral Filtering. Konstantinos Skitsas, Davide Mottin, Panagiotis Karras |
| 2025 | PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices. Haoqiong Bian, Dongyang Geng, Haoyang Li, Yunpeng Chai, Anastasia Ailamaki |
| 2025 | Popper: A Dataflow System for In-Flight Error Handling in Machine Learning Workflows. Adnan Shakeel Ahmed, Abhilash Jindal, Kaustubh Beedkar |
| 2025 | Preserving K-Connectivity in Dynamic Graphs. Gengda Zhao, Dong Wen, Xiaoyang Wang, Kai Wang, Xuemin Lin |
| 2025 | PrivIM: Differentially Private Graph Neural Networks for Influence Maximization. Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu |
| 2025 | Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data. Yingfan Liu, Yandi Zhang, Jiadong Xie, Hui Li, Jeffrey Xu Yu, Jiangtao Cui |
| 2025 | Privacy-Preserving Screening for Record Linkage. Chenyu Huang, Fan Zhang, Huangxun Chen, Yongjun Zhao, Huaming Rao, Peng Chen, Danqing Huang |
| 2025 | Privacy-Preserving Triangle Counting in Directed Graphs. Ziyao Wei, Qing Liu, Zhikun Zhang, Shouling Ji, Yunjun Gao |
| 2025 | Promi: Progressive Live Migration in Distributed Database Systems. Zhenghao Ding, Xinyi Zhang, Wei Lu, Wenlong Ma, Wenliang Zhang, Xiaoyong Du |
| 2025 | Proving Cypher Query Equivalence. Lei Tang, Wensheng Dou, Yingying Zheng, Lijie Xu, Wei Wang, Jun Wei, Tao Huang |
| 2025 | Pseudo-label-Based Unsupervised Granular-Ball Division and Fast Spectral Clustering for High-Dimensional Data. Dongdong Cheng, Xiaocui Jiang, Shuyin Xia, Guoyin Wang |
| 2025 | QaVA: Query-Aware Video Analysis Framework Based on Data Access Pattern. Tianxiong Zhong, Zhiwei Zhang, Yihang Fu, Guo Lu, Ye Yuan, Guoren Wang |
| 2025 | Query Weak Equivalence and its Verification in Analytical Databases. Jinguo You, Wanting Fu, Yuxuan Wang, Peilei He, Kaiqi Liu, Quanqing Xu |
| 2025 | Querying Templatized Document Collections with Large Language Models. Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu |
| 2025 | RAISIN: A Parallel Subgraph Matching Tool Exploiting Community Structures in Social Networks. Songyao Wang, Chaokun Wang |
| 2025 | Rabbit: Retrieval-Augmented Generation Enables Better Automatic Database Knob Tuning. Wenwen Sun, Zhicheng Pan, Zirui Hu, Yu Liu, Chengcheng Yang, Rong Zhang, Xuan Zhou |
| 2025 | Random Sampling Over Spatial Range Joins. Daichi Amagata |
| 2025 | Ratel: Optimizing Holistic Data Movement to Fine-tune 100B Model on a Consumer GPU. Changyue Liao, Mo Sun, Zihan Yang, Jun Xie, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang |
| 2025 | Real-Time Single-Source Personalized PageRank Over Evolving Social Networks. Sujun Shuai, Xuan Rao, Lisi Chen, Shuo Shang, Shen Gao |
| 2025 | Revelio: Revealing Important Message Flows in Graph Neural Networks. Haoyu He, Isaiah J. King, H. Howie Huang |
| 2025 | Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract). Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu |
| 2025 | Rottnest: Indexing Data Lakes for Search. Ziheng Wang, Sasha Krassovsky, Conor Kennedy, Alex Aiken, Weston Pace, Rain Jiang, Huayi Zhang, Chenyu Jiang, Wei Xu |
| 2025 | SAGE: A Framework of Precise Retrieval for RAG. Jintao Zhang, Guoliang Li, Jinyang Su |
| 2025 | SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. Haoyu Liu, Ningyi Liao, Siqiang Luo |
| 2025 | SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding. Zhifeng Jia, Hanmo Liu, Haoyang Li, Lei Chen |
| 2025 | SOUND: Sanity Checking of Pipelines for Uncertain and Sparse Data Series. Hermann Stolte, Iftach H. Sadeh, Elisa Pueschel, Avigdor Gal, Matthias Weidlich |
| 2025 | Scalable Machine Learning for Real-Time Fault Diagnosis in Industrial IoT Cooling Roller Systems. Dandan Zhao, Karthick Sharma, Yuxin Qi, Qixun Liu, Shuhao Zhang |
| 2025 | Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-Scale Datasets Using Contrastive Learning. Bhimesh Kandibedala, Gyanendra Shrestha, Anna Pyayt, Todor Ivanov, Michael N. Gubanov |
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| 2025 | SeSeMI: Secure Serverless Model Inference on Sensitive Data. Guoyu Hu, Yuncheng Wu, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi |
| 2025 | Searching Society Over Large Heterogeneous Information Networks. Xuan Liu, Lu Chen, Chengfei Liu, Rui Zhou |
| 2025 | Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. Hong Xia, Xiao Zhang, Yuan Cao, Lei Cao, Yanwei Yu, Junyu Dong |
| 2025 | Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts. Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin |
| 2025 | Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases. Teng Lin |
| 2025 | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
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| 2025 | Space-Efficient Compact Representations for Graph Analytics. Boyu Yang, Weiguo Zheng, Xiang Lian, Lingfei Zheng |
| 2025 | Stability is Not Downtime: Comprehensive Stability Evaluation for Large-Scale Cloud Servers in Alibaba Cloud. Haoyu Wang, Zhicheng Liu, Yeliang Qiu, Haozhe Li, Hongke Guo, Zhaoliang Zhu, You Zhang, Yu Zhou, Xudong Zheng |
| 2025 | StreamSC: A Learning-Based Framework for Efficient Subgraph Counting in Stream Graphs. Zhen Xie, Xiang Zhao |
| 2025 | StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing. Jiexi Zhan, Yu Chen, Peng Cheng, Lei Chen, Wangze Ni, Xuemin Lin |
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| 2025 | Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy. Sen Zhang, Qingqing Ye, Haibo Hu |
| 2025 | Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing. Jinwen Chen, Hao Miao, Dazhuo Qiu, Jiannan Guo, Yawen Li, Yan Zhao |
| 2025 | SwiftDP: An Efficient Framework for Automated Data Preparation Pipeline Generation. Liangwei Li, Yiyi Zhang, Ning Wang |
| 2025 | SylphDB: An Active and Adaptive LSM Engine for Update-Intensive Workloads. Jun-Peng Zhu, Zhiwei Ye, Xiaolong He, Peng Cai, Xuan Zhou, Aoying Zhou, Dunbo Cai, Ling Qian, Kai Xu, Liu Tang, Qi Liu |
| 2025 | Synthesizing Scoring Functions for Rankings Using Symbolic Gradient Descent. Zixuan Chen, Panagiotis Manolios, Mirek Riedewald |
| 2025 | TDT: Tensor Based Directed Truss Decomposition. Guojing Li, Yuanyuan Zhu, Junchao Ma, Ming Zhong, Tieyun Qian, Jeffrey Xu Yu |
| 2025 | TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas |
| 2025 | Tag-Filtered Approximate Nearest Neighbor Search. Jiarui Luo, Miao Qiao, Chaoji Zuo, Dong Deng |
| 2025 | Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling. Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi |
| 2025 | TardySketch: A Framework for Cardinality Estimation Adaptable to Sliding Windows. Xuyang Jing, Qinghua Cao, Chenhao Zhang, Zheng Yan, Wenxiu Ding, Witold Pedrycz, Pu Wang |
| 2025 | TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms. Chengying Huan, Heng Zhang, Yongchao Liu, Likang Chen, Xuran Wang, Yongchun Jiang, Shaonan Ma, Yanjun Wu |
| 2025 | TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device. Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Xiaoou Ding |
| 2025 | The Most Influenced Community Search on Social Networks. Xueqin Chang, Qing Liu, Yunjun Gao, Baihua Zheng, Yi Cai, Qing Li |
| 2025 | The SpaceSaving± Family of Algorithms for Data Streams with Bounded Deletions. Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi, Claire Mathieu, Ahmed Metwally, Michel de Rougemont |
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| 2025 | Timestamp Approximate Nearest Neighbor Search Over High-Dimensional Vector Data. Yuxiang Wang, Ziyuan He, Yongxin Tong, Zimu Zhou, Yiman Zhong |
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| 2025 | Towards Dynamic Boolean Range Query Over Hybrid-Storage Blockchains: A Secure and Reliably Verifiable Framework. Ningning Cui, Dong Wang, Jianxin Li, Huaijie Zhu, Xiaochun Yang, Jianliang Xu |
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| 2025 | Towards Fine-Grained Scalability for Stateful Stream Processing Systems. Yunfan Qing, Wenli Zheng |
| 2025 | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du |
| 2025 | Towards Lightweight Time Series Forecasting: A Patch-Wise Transformer with Weak Data Enriching. Meng Wang, Jintao Yang, Bin Yang, Hui Li, Tongxin Gong, Bo Yang, Jiangtao Cui |
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