IN-PERSON PROGRAM DETAILS

APRIL 5, 2023, WEDNESDAY (CONTINUED)

RS13, 3: Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes jiake ge (renmin university of china); Boyu Shi (renmin university of china); Yanfeng Chai (Renmin University of China); Yuanhui Luo (Renmin University of China); Yunda Guo (renmin university of china); Yinxuan He (renmin university of china); yunpeng chai (renmin university of china)*

RS13, 4: The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines

16:00 18:00 Ballroom AB

Lennart Behme (Technische Universität Berlin)*; Saravanan Thirumuruganathan (QCRI, HBKU); Alireza Rezaei Mahdiraji (Glooko GmbH); Jorge Arnulfo Quiane Ruiz (IT University of Copenhagen); Volker Markl (Technische Universität Berlin)

RS13, 5: ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake

Xuanke You (University of Science and Technology of China)*; Lan Zhang (University of Science and Technology of China); JunYang Wang (University of Science and Technology of China); Zhimin Bao (Tencent); Yunfei Wu (Tencent YouTu Lab); Shuaishuai Dong (tencent)

RS13, 6: Stable Tuple Embeddings for Dynamic Databases

Jan M Tönshoff (RWTH Aachen University)*; Neta Friedman (Technion); Martin Grohe (RWTH Aachen University); Benny Kimelfeld (Technion)

KEYNOTE 3: “What makes database systems fast? An ablation study”, Prof. Thomas Neumann, Technical University of Munich, Germany SESSION

10:30 12:20

Ballroom CD

RESEARCH SESSION 14: DATA MINING AND KNOWLEDGE DISCOVERY III

RS14, 1: Influential Recommender System

Haoren ZHU (Hong Kong University of Science and Technology)*; Hao Ge (The Hong Kong university of Science and Technology); Xiaodong Gu (Shanghai Jiao Tong University); Pengfei Zhao (BNU-HKBU United International College); Dik-Lun LEE (Hong Kong University of Science and Technology, Hong Kong)

RS14, 2: Ver: View Discovery in the Wild Yue Gong (The University of Chicago)*; Zhiru Zhu (University of Chicago); Sainyam Galhotra (University of Chicago); Raul Castro Fernandez (The University of Chicago)

RS14, 3: BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning

Ai-Te Kuo (Auburn University)*; Haiquan Chen (California State University, Sacramento); Wei-Shinn Ku (Auburn University)

RS14, 4: Efficient Deep Ensemble Inference via Query Difficultydependent Task Scheduling]

Zichong Li (University of Science and Technology China); Lan Zhang (University of Science and Technology of China)*; Mu Yuan (University of Science and Technology of China); Miao-Hui Song (University of Science and Technology of China); Qi Song (University of Science and Technology of China)

RS14, 5: HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams

Zirui Liu (Peking University)*; Chaozhe Kong (Peking University); Kaicheng Yang (Peking University); Tong Yang (Peking University); Ruijie Miao (Peking University); Qizhi Chen (Peking University); Yikai Zhao (Peking University); Yaofeng Tu (ZTE Corporation); Bin Cui (Peking University)

RS14, 6: Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network

Jinzhen Wang (New Jersey Institute of Technology); Xin Liang (University of Kentucky); Ben Whitney (Oak Ridge National Laboratory); Jieyang Chen (Oak Ridge National Laboratory); Qian Gong (Oak Ridge National Laboratory); Xubin He (Temple University); Lipeng Wan (Georgia State University); Scott Klasky (Oak Ridge National Laboratory); Norbert Podhorszki (Oak Ridge National Laboratory); Qing Liu (New Jersey Institute of Technology)*

RESEARCH SESSION 15: GRAPHS II

RS15, 1: Integrating Connection Search in Graph Queries

Angelos Christos Anadiotis (Oracle); Ioana Manolescu (INRIA and Institut Polytechnique de Paris); Madhulika Mohanty (Inria Saclay)*