IEEE Big Data 2021 Accepted Papers
1. Big Data Science and Foundations
| Paper ID | Regular Papers |
|---|---|
| BigD310 | "Trie-based Output Space Itemset Sampling" Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, and Arnaud Soulet |
| BigD390 | "Aggregation Delayed Federated Learning" Ye Xue, Diego Klabjan, and Yuan Luo |
| BigD550 | "Alternatives to Classic BM25-IDF based on a New Information-theoretical Framework" Weimao Ke |
| BigD571 | "On High-Latency Bowtie Data Streaming" Gabriel Stella and Dmitri Loguinov |
| BigD590 | "Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection" Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, and Sihong Xie |
| BigD688 | "Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle" Masatoshi Kobayashi, Kohei Miyaguchi, and Shin Matsushima |
| BigD695 | "Probabilistic Orthogonal Matching Pursuit" Ghazal Fazelnia and John Paisley |
| BigD726 | "Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations" John Paisley, Sebastian Rowland, Jeremiah Liu, Brent Coull, and Marianthi Kioumourtzoglou |
| BigD798 | "Persistence Homology of Proximity Hyper-Graphs for Higher Dimensional Big Data" Rohit Singh and Philip Wilsey |
| Paper ID | Short Papers |
|---|---|
| BigD240 | "Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations" Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, and Danyang Zhuo |
| BigD434 | "Scalable Tensors for Big Data Analytics" Leonidas Fegaras, Tanvir Ahmed Khan, Md Hasanuzzaman Noor, and Tanzima Sultana |
| BigD442 | "A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases" Uday Kiran Rage, Tarun Sreepada, Yutaka Watanobe, and Kazuo Goda |
| BigD755 | "Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training" Weili Shi and Sheng Li |
| BigD803 | "Evaluating Captioning Models using Markov Logic Networks" Monika Shah, Somdeb Sarkhel, and Deepak Venugopal |
| BigD824 | "Appley: Approximate Shapley Value for Model Explainability in Linear Time" Md Shafiul Alam and Ying Xie |
| BigD847 | "Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences" Prakash Chourasia, Sarwan Ali, and Murray Patterson |
| BigD854 | "Structural Risk Minimisation with Random Matrix Theory in Deep Learning" Diego Granziol and Nicholas Baskerville |
2. Big Data Infrastructure
| Paper ID | Regular Papers |
|---|---|
| BigD445 | "ByteStore: Hybrid Layouts for Main-Memory Column Stores" Pengfei Zhang, ZiQiang Feng, Eric Lo, and Hailin Qin |
| BigD505 | "Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries" Carlos Ordonez |
| BigD591 | "Data Transformation Acceleration using Deterministic Finite-State Transducers" Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, and Michela Becchi |
| BigD743 | "Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing" Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, and Odej Kao |
| Paper ID | Short Papers |
|---|---|
| BigD299 | "Adaptive Aggregation For Federated Learning" K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, and Mark Purcell |
| BigD411 | "Multi-Cloud Query Optimisation with Accurate and Efficient Quoting" Damien T. Wojtowicz, Shaoyi Yin, Jorge Martinez-Gil, Franck Morvan, and Abdelkader Hameurlain |
| BigD422 | "Workload Prediction for Adaptive Approximate Query Processing" Hamid Shahrivari, Odysseas Papapetrou, and George Fletcher |
| BigD450 | "PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances" Sungjae Lee, Yoonseo Hur, Subin Park, and Kyungyong Lee |
| BigD454 | "A novel self-adaptive method for improving patient monitoring with composite early-warning scores" Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar, and Donald Cowan |
| BigD497 | "Latency vs Cost : Data Ingestion options at Twitter Scale" Zhenzhao Wang, Santosh Marella, Mak Inada, Pablo Rodriguez Defino, Abhishek Jagannath, and Lohit VijayaRenu |
| BigD710 | "Enhancing k-Means Algorithm with Tensor Processing Unit" Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, and Christian B ̈ohm |
| BigD816 | "Optimal Rate Control for Latency-constrained High Throughput Big Data Applications" Ziren Xiao, Aaron Harwood, and Maria Rodriguez |
| BigD849 | "Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics" Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, and Odej Kao |
3. Big Data Management
| Paper ID | Regular Papers |
|---|---|
| BigD262 | "Multi-Query Optimization Revisited: A Full-Query Algebraic Method" Mehrad Eslami, Yicheng Tu, Zichen Xu, and Hadi Charkhgard |
| BigD275 | "DCPViz: A Visual Analytics Approach for Downscaled Climate Projections" Abdullah-Al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammad Elshambakey, William J. Tolone, Todd Dobbs, Daniel Crichton, and Isaac Cho |
| BigD348 | "An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data" Thu Nguyen, Ngoc Vu, and Binh Ly |
| BigD366 | "LASSO Logic Engine: harnessing the logic parsing capabilities of the LASSO algorithm for longitudinal feature learning" Jason Orender, Mohammad Zubair, and Jiangwen Sun |
| BigD462 | "Overcoming Challenges of Synthetic Data Generation" Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, and Lalana Kagal |
| BigD566 | "iFiG: Individually Fair Multi-view Graph Clustering" Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, and Hanghang Tong |
| BigD580 | "Operator Placement for Spatio-temporal Tasks" Daniel Glake, Mareike Schmidt, Felix Kiehn, Fabian Panse, Ulfia Lenfers, Thomas Clemen, and Norbert Ritter |
| BigD617 | "Predicting Deduplication Performance: An Analytical Model and Empirical Evaluation" Owen Randall and Paul Lu |
| BigD633 | "VIMTS: Variational-based Imputation for Multi-modal Time Series" Xiaohu Zhao, Kebin Jia, Benjamin Letcher, Jennifer Fair, Yiqun Xie, and Xiaowei Jia |
| BigD646 | "Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification" Omar Bahri, Soukaina Filali Boubrahimi, and Shah Muhammad Hamdi |
| BigD649 | "ABM: Attention-based Message Passing Network for Knowledge Graph Completion" Weikai Xu, Lihui Liu, and Hanghang Tong |
| BigD689 | "Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes" Neni Alya Firdausanti, Tirana Noor Fatyanosa, Mahendra Data, Israel Mendonca, and Masayoshi Aritsugi |
| Paper ID | Short Papers |
|---|---|
| BigD215 | "A Novel Estimate Fitness Method by Measuring A large number of Sub-event Logs Conformance" Mimi Wang, Xudong He, and Peihai Zhao |
| BigD407 | "SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems" prashanth thinakaran, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, and Chita R Das |
| BigD453 | "Fast Binary Network Hashing via Graph Clustering" Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, and Naonori Ueda |
| BigD472 | "A New IoT Storage System Based on Raw NVM" Tao Cai, Yueming Ma, Dejiao Niu, Pengfei Gao, Tianle Lei, and Jianfei Dai |
| BigD487 | "Resource Efficient Profiling of Spatial Variability in Performance of Regression Models" Menuka Warushavithana, Saptashwa Mitra, and Shrideep Pallickara |
| BigD489 | "Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments" Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, and Angeliki Gantzia |
| BigD598 | "Generation of Synthetic Urban Vehicle Trajectories" Chrysovalantis Anastasiou, Seon Ho Kim, and Cyrus Shahabi |
| BigD650 | "An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs" Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, and Taisuke Boku |
| BigD651 | "Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series" Chihiro Maru, Boris Brandherm, and Ichiro Kobayashi |
| BigD771 | "From Data Warehouse to Lakehouse: A Comparative Review" Ahmed Harby and Farhana zulkernine |
| BigD819 | "Efficient Privacy Preserving Record Linkage at Scale using Apache Spark" Alexandros Karakasidis and Georgia Koloniari |
| BigD833 | "Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies" Hyein Hong, Sangbong Yoo, Yejin Jin, Chanyoung Yoon, Soobin Yim, Seokhwan Choi, and Yun Jang |
4. Big Data Search and Mining
| Paper ID | Regular Papers |
|---|---|
| BigD231 | "Exploration Trade-offs in Web Recommender Systems" Giovanni Delnevo and Ricardo Baeza-Yates |
| BigD237 | "Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data" Daichi Amagata |
| BigD283 | "Towards Robust Graph Neural Networks via Adversarial Contrastive Learning" Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, and Philip S. Yu |
| BigD394 | "Understanding COVID-19 Vaccine Campaign on Facebook with Minimal Supervision" Tunazzina Islam and Dan Goldwasser |
| BigD413 | "On Inferring User Socioeconomic Status with Mobility Records" Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, and Chunyan Miao |
| BigD458 | "Learning Diversity Attributes in Multi-Session Recommendations" Nassim Bouarour, Idir Benouaret, and Sihem Amer-Yahia |
| BigD474 | "RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation" Yijin Cai, Yilei Wang, Weijin Wang, and Wenting Chen |
| BigD493 | "Proactive Prioritization of App Issues via Contrastive Learning" Moghis Fereidouni, Adib Mosharrof, Umar Farooq, and A.B. Siddique |
| BigD514 | "TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering" Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, and Noseong Park |
| BigD563 | "Proximal Cost-sensitive Sparse Group Online Learning" Zhong Chen, Huixin Zhan, Victor Sheng, Andrea Edwards, and Kun Zhang |
| BigD577 | "Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs" Koby Hayashi, Sinan Aksoy, and Haesun Park |
| BigD603 | "Abusive Language Detection with Graph based Multi-task Learning" Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, and Yongdong Zhang |
| BigD614 | "Clustering Human Mobility with Multiple Spaces" Haoji Hu, Haowen Lin, and Yao-Yi Chiang |
| BigD628 | "Self-supervised Hypergraph Representation Learning" Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, and Hanghang Tong |
| BigD634 | "Nothing Stands Alone: Leveraging News Relations through a Hypergraph for Fake News Detection" Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, and Huan Liu |
| BigD652 | "Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders" Xiaohan Li, Zheng Li, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip Yu, and Kannan Achan |
| BigD683 | "Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer" Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Peng Hao, and Philip Yu |
| BigD687 | "Dynamic Graph Summarization: Optimal and Scalable" Mahdi Hajiabadi, Venkatesh Srinivasan, and Alex Thomo |
| BigD728 | "BigFeat: Scalable and Interpretable Automated Feature Engineering Framework" Hassan Eldeeb, Shota Amashukeli, and Radwa Elshawi |
| BigD739 | "Spatial Density-based User Identity Linkage across Social Networks" Hui Xue, Bo Sun, Weixuan Mao, Jianjun Lin, Yijing Zhang, Xiaoyu Liu, Xiaodu Yang, and Ziqian Chen |
| BigD760 | "MetaKGRec: Collaborative Meta-Knowledge-Graph Enhanced Recommender System" Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, and Philip S. Yu |
| BigD774 | "Temporal Graph Representation Learning via Maximal Cliques" Shima Khoshraftar, Aijun An, and Nastaran Babanejad |
| BigD777 | "Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation" Xiaohan Li, Yuqing Liu, Zheng Liu, and Philip Yu |
| BigD802 | "MUSCAT: Multilingual Rumor Detection in Social Media Conversations" Md Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, and Kenny Tsu Wei Choo |
| BigD831 | "Spatial Attention Based Grid Representation Learning For Predicting Origin–Destination Flow" Mingfei Cai, Yanbo Pang, and Yoshihide Sekimoto |
| Paper ID | Short Papers |
|---|---|
| BigD330 | "DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs" Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos, Vinícius T. de Castro Pires, Paulo M. Laurentys de Almeida, and Fabricio Murai |
| BigD332 | "Clustering-based Unsupervised Generative Relation Extraction" Chenhan Yuan, Ryan Rossi, Andrew Katz, and Hoda Eldardiry |
| BigD353 | "Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction" Rui Fan, Tingting He, Yufan Wang, Jie Hong, and Xinhui Tu |
| BigD357 | "Proactive Rumor Control: When Impression Counts" Pengfei Xu, Zhiyong Peng, and Liwei Wang |
| BigD452 | "QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting" Xiaochuan Gou, Peng Han, and Xiangliang Zhang |
| BigD464 | "Network Distance based on Laplacian Flows on Graphs" Dianbin Bao, Kisung You, and Lizhen Lin |
| BigD467 | "Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations" Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, and Mori Kurokawa |
| BigD475 | "Temporal Adaptive Aggregation Network for Dynamic Graph Learning" Man Wu and Xingquan Zhu |
| BigD486 | "Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta" Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, and Jisun An |
| BigD521 | "Question-Attentive Review-Level Recommendation Explanation" Trung-Hoang Le and Hady W. Lauw |
| BigD533 | "Proactive Query Expansion for Streaming Data Using External Sources" Farah Alshanik, Amy Apon, Yuheng Du, Alexander Herzog, and Ilya Safro |
| BigD542 | "Graggle: A Graph-based Approach to Document Clustering" Isaiah King and Howie Huang |
| BigD554 | "Learning on Health Fairness and Environmental Justice via Interactive Visualization" Abdullah-Al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia Gel, and Isaac Cho |
| BigD565 | "Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles" Michael Gubanov and Sophie PAvia |
| BigD575 | "Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets" Pierce Smith, Sangmi Pallickara, and Shrideep Pallickara |
| BigD596 | "Dynamic Graph Node Classification via Time Augmentation" Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, and Wei Zhang |
| BigD676 | "Neighborhood Preserving Embedding via Capsules for Collaborative Filtering" Xuan Li and Li Zhang |
| BigD717 | "GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources" Angeela Acharya, Siddhartha Sikdar, Sanmay Das, and Huzefa Rangwala |
| BigD721 | "Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study" Luis Felipe Gutiérrez and Akbar Namin |
| BigD766 | "HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets" Lulwah AlKulaib, Abdulaziz Alhamadani, Shailik Sarkar, and Chang-Tien Lu |
| BigD792 | "Discovering Hidden Patterns in Geo-referenced Uncertain Transactional Databases" Likhitha PALLA, Uday Kiran Rage, RaviKumar Penugonda, Masashi Toyoda, and Koji Zettsu |
| BigD815 | "FedGSL: Federated Graph Structure Learning for Local Subgraph Augmentation" Geng Zhao, Yi Huang, Chihsu Tsai, and Yuxia Sun |
5. Big Data Learning and Analytics
| Paper ID | Regular Papers |
|---|---|
| BigD254 | "FEZ: a Flexible and Efficient Zoom-in Method for Ultra-large Image Classification" Cheng-Han Lu and Shih-Hao Hung |
| BigD256 | "Exploring Multi-Time Context Vector and Randomness for Stock Movement Prediction" Kanghyeon Seo and Jihoon Yang |
| BigD260 | "LLU-Swin:Low-Light Image Enhancement with U-shaped Swin Transformer" Lijiang Shao, Wenjin Wang, Shiguo Huang, and Xiaolin Li |
| BigD286 | "Improving Representation Learning for Session-based Recommendation" Tianwen Chen and Raymond Chi-Wing Wong |
| BigD295 | "Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks" Gary Ang and Ee-Peng Lim |
| BigD302 | "AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization" Rui Zhang, Jianjun Yu, and Yuanchun Zhou |
| BigD318 | "Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection" Shuxin Qin, Jing Zhu, Dan Wang, Liang Ou, Hongxin Gui, and Gaofeng Tao |
| BigD339 | "WaveNets: Wavelet Channel Attention Networks" Hadi Salman, Caleb Parks, Shi Hong, and Justin Zhan |
| BigD344 | "Dynamic network of commodity futures market and systemic risk contribution of key commodities" Ke Huang, Jifeng Sun, Zuominyang Zhang, and Ying Ye |
| BigD365 | "Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction" Lubna Eljabu, Mohammad Etemad, and Stan Matwin |
| BigD372 | "Tab-HGNN: Learning Column Representation with Heterogeneous Graph Neural Network for Web Table Interpretation" Xingyu Su and Yanyan Shen |
| BigD415 | "A Hybrid Model Based on NeuralProphet and Long Short-Term Memory for Time Series Forecasting" Zhaofeng Yu, Kun Niu, Xiao Chen, Zhijun Guo, and Dongsheng Li |
| BigD421 | "Heterogeneity-Aware Adaptive Federated Learning Scheduling" Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo Angel, Yi Zhou, Feng Yan, and Ali R. Butt |
| BigD448 | "A Unified Model for Bid Landscape Forecasting in the Mixed Auction Types of Real-Time Bidding" Seonguk Seo, Jihye Ha, Jieun Shin, Sunah Kim, and Taeho Hwang |
| BigD471 | "Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values" Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, and U Kang |
| BigD490 | "Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium" Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, and Zhouchen Lin |
| BigD496 | "SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge" Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, and Xintao Wu |
| BigD498 | "A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data" Yijun Lin and Yao-Yi Chiang |
| BigD507 | "A Functional approach for Two Way Dimension Reduction in Time Series" Aniruddha Rajendra Rao, Haiyan Wang, and Chetan Gupta |
| BigD527 | "EFFGAN: Ensembles of fine-tuned federated GANs" Ebba Ekblom, Edvin Listo Zec, and Olof Mogren |
| BigD536 | "Randomize Adversarial Defense in a Light Way" Ji-Young Park, Lin Liu, Jixue Liu, and Jiuyong Li |
| BigD540 | "RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation" Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, and Jun Huang |
| BigD552 | "Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics" Tian Zhou, Fubao Wu, and Lixin Gao |
| BigD570 | "bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine" Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, and Hao Yang |
| BigD585 | "Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis" Jing Chen, German Creamer, and Yue Ning |
| BigD587 | "GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting" Shayan Jawed and Lars Schmidt-Thieme |
| BigD601 | "Time Series Anomaly Detection using Prediction-Reconstruction Mixture Errors" Lawrence Wong, Dongyu Liu, Laure Berti-Equille, and Kalyan Veeramachaneni |
| BigD630 | "Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality" Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, and Leandros Tassiulas |
| BigD635 | "Physics-based multiple time-series univariate forecasting" Sumanta Mukherjee, Arindam Jati, Kanthi Sarpatwar, and Roman Vaculin |
| BigD653 | "Role-Oriented Dynamic Network Embedding" Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, and Pengfei Jiao |
| BigD668 | "PromptRGD: Prompt Learning with Relation-aware Gradient Denoising for Low-resource Relation Extraction" Zihang Xu, Luoyi Fu, and Xinbing Wang |
| BigD699 | "AnyStreamKM: Anytime k-medoids Clustering for Streaming Data" Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, and Poonam Goyal |
| BigD711 | "Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters" Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, and Germain Forestier |
| BigD731 | "AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs" Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, and Xiangliang Zhang |
| BigD752 | "IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket" Po-wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, and Wei-Shinn Ku |
| BigD758 | "Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses" Jared Gridley and Oshani Seneviratne |
| BigD785 | "Semi-supervised Embedding for Scalable and Accurate Time Series Clustering" Andrew Hill, Russell Bowler, Katerina Kechris, and Farnoush Banaei-Kashani |
| BigD812 | "TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering" Radwa Mohamed and Sherif Sakr |
| BigD813 | "Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution" Tao Huang, Qingyang Li, and Zhiwei Qin |
| BigD817 | "Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network" Jiayue Han, Zhiqiang Cai, Zhiyou Wu, and Xiang Zhou |
| BigD845 | "Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data" Roberto Mansilla, Gavin Smith, Andrew Smith, and James Goulding |
| Paper ID | Short Papers |
|---|---|
| BigD246 | "FedLesScan: Mitigating Stragglers in Serverless Federated Learning" Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, and Osama Abboud |
| BigD250 | "Open Set Domain Adaptation by Extreme Value Theory" Yiming Xu and Diego Klabjan |
| BigD297 | "A Convergence Theory for Federated Average: Beyond Smoothness" Xiaoxiao Li, Zhao Song, Runzhou Tao, and Guangyi Zhang |
| BigD308 | "VWC-BERT:Scaling Vulnerability–Weakness–Exploit Mapping on Modern AI Accelerators" Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, and Ehab Al-Shaer |
| BigD309 | "Sequential Anomaly Detection with Local and Global Explanations" He Cheng, Depeng Xu, and Shuhan Yuan |
| BigD377 | "Adaptive Knowledge Transfer on Evolving Domains" Jun Wu, Hanghang Tong, Elizabeth Ainsworth, and Jingrui He |
| BigD392 | "Classification of Univariate Time Series via Temporal Abstraction and Deep Learning" Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, and Robert Moskovitch |
| BigD412 | "Enhancing Graph Convolutional Networks by Topology Sampling" Quentin Petit, Chong Li, Serge Petiton, Kelun Chai, and Nahid Emad |
| BigD425 | "SHCN: Self-supervised General Hypergraph Clustering Network" Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, and Baocai Yin |
| BigD443 | "Dynamic Cell Structure via Recursive-Recurrent Neural Networks" Xin Qian, Matthew Kennedy, and Diego Klabjan |
| BigD484 | "Road Rutting Detection using Deep Learning on Images" Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, and Yoshihide Sekimoto |
| BigD516 | "Asymmetric Self-Supervised Graph Neural Networks" Zhuo Tan, Bin Liu, and Guosheng Yin |
| BigD564 | "Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery" Charles Courchaine and Ricky Sethi |
| BigD569 | "Robust Learning with Noisy Label Detection and Counterfactual Correction" Wenting Qi and Charalampos Chelmis |
| BigD574 | "Label Denoising and Counterfactual Explanation with A Plug and Play Framework" Wenting Qi and Charalampos Chelmis |
| BigD613 | "Fast Support Vector Machine Using Singular Value Decomposition" Sabuj Laskar and Muhammad Abdullah Adnan |
| BigD624 | "DFFNet: Dynamic Feature Fusion Network for Weakly Supervised Object Detection in Remote Sensing Images" Mengmeng Zhu, Shouhong Wan, Peiquan Jin, and Peiyi Zhang |
| BigD625 | "Exploring the Target Distribution for Surrogate-Based Black-Box Attacks" Raha Moraffah, Paras Sheth, and Huan Liu |
| BigD647 | "FVec2vec: A Fast Nonlinear Dimensionality Reduction Approach for General Data" Xiaoli Ren, Kefeng Deng, Kaijun Ren, Junqiang Song, Xiaoyong Li, and Qing Xu |
| BigD656 | "Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction" Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, and Jianliang Gao |
| BigD742 | "Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing" Yibo Wang, Congying Xia, Guan Wang, and Philip Yu |
| BigD767 | "Cyberbully Detection Using BERT with Augmented Texts" Xiaoyu Guo, Usman Anjum, and Justin Zhan |
| BigD773 | "MBAG: A Scalable Mini-Block Adaptive Gradient Method for Deep Neural Networks" Jaewoo Lee |
| BigD776 | "Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments" Riazat Ryan and Ming Shao |
| BigD787 | "Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand" Swapna Thorve, Anil Vullikanti, Henning Mortveit, Samarth Swarup, and Madhav Marathe |
| BigD791 | "Predictive Masking for Semi-Supervised Graph Contrastive Learning" Yufei Jin and Xingquan Zhu |
| BigD811 | "Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising" Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, and Ping Li |
| BigD814 | "Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty" Yugo Fujimoto, Kei Nakagawa, Kentaro Imajo, and Kentaro Minami |
| BigD822 | "A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction" Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, and Navneet Goyal |
| BigD855 | "Dynamic Graph Attention Recurrent Network for Traffic Prediction" JIA GUO, HUAXIONG YAO, JUNTAO YANG, ZUOQUAN XIE, RENYI CHEN, and MENGLING HU |
6. Data Ecosystem
| Paper ID | Regular Papers |
|---|---|
| BigD249 | "User-Entity Differential Privacy in Learning Natural Language Models" Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, and Nikolaos Barmpalios |
| BigD388 | "Robust Text CAPTCHAs Using Adversarial Examples" Rulin Shao |
| BigD419 | "Fair Collective Classification in Networked Data" Karuna Bhaila, Yongkai Wu, and Xintao Wu |
| BigD420 | "Fraud Detection via Contrastive Positive Unlabeled Learning" Vinay M.S., Shuhan Yuan, and Xintao Wu |
| BigD461 | "Robust Personalized Federated Learning under Demographic Fairness Heterogeneity" Alycia Carey, Wei Du, and Xintao Wu |
| BigD463 | "MulBot: Unsupervised Bot Detection Based on Multivariate Time Series" Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, and Maurizio Tesconi |
| BigD499 | "InfoFair: Information-Theoretic Intersectional Fairness" Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, and Hanghang Tong |
| BigD582 | "Fair Regression under Sample Selection Bias" Wei Du, Xintao Wu, and Hanghang Tong |
| BigD586 | "cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering" Radwa El Shawi and Sherif Sakr |
| BigD709 | "Defending Evasion Attacks via Adversarially Adaptive Training" Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, and Aidong Lu |
| BigD723 | "A Task-Driven Privacy-Preserving Data-Sharing Framework For Industrial Internet" Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, and Ismini Lourentzou |
| BigD756 | "Location-based Alert System Using Searchable Encryption with Hilbert Curve Encoding" Po-wei Harn, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, and Wei-Shinn Ku |
| BigD829 | "FL-Market: Trading Private Models in Federated Learning" Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, and Qiang Yan |
| Paper ID | Short Papers |
|---|---|
| BigD273 | "Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models" Sihuan Li and Zizhong Chen |
| BigD440 | "Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations" Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, and Dong Wang |
| BigD441 | "RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries" Keshav Kasichainula, Hadi Mansourifar, and Weidong Shi |
| BigD537 | "SMARDY: Zero-Trust FAIR Marketplace for Research Data" Ion Dorinel Filip, Cosmin Ionite, Alba Gonzalez-Cebrian, Mihaela Balanescu, Ciprian Dobre, Adriana E. Chis, Dave Feenan, Adrian-Alexandru Buga, Ioan-Mihai Constantin, George Suciu, George Iordache, and Horacio Gonzalez-Velez |
| BigD559 | "Asymmetric Differential Privacy" Shun Takagi, Fumiyuki Kato, Yang Cao, and Masatoshi Yoshikawa |
| BigD685 | "Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks" Khang Tran, Phung Lai, Hai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Thai, and Xintao Wu |
| BigD712 | "Trustworthy Distributed Deep Neural Network Training in an Edge Devices Network" Sudipta Saha Shubha and Haiying Shen |
| BigD716 | "CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads" Kawsar Haghshenas, Brian Setz, and Marco Aiello |
| BigD805 | "SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification" Peiyu Li, Soukaina Boubrahimi, and Shah Hamdi |
7. Big Data Applications
| Paper ID | Regular Papers |
|---|---|
| BigD232 | "MRA-DGCN: Multi-Range Attention-Based Dynamic Graph Convolutional Network for Traffic Prediction" Renyi Chen and HUAXIONG YAO |
| BigD233 | "Revenue Maximization in Waterfall Auctions with Dynamic Programming" Dan Halbersberg, Matan Halevi, and Moshe Salhov |
| BigD243 | "Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures" Gyoung S. Na |
| BigD281 | "Detecting languages in streetscapes using deep convolutional neural networks" You Xuan Thung, Tom Benson, and Nikita Klimenko |
| BigD328 | "Progressive prediction of hospitalisation and patient disposition in the emergency department" Laura Uhl, Vincent AUGUSTO, Vincent Lemaire, Youenn Alexandre, Fanny Jardinaud, Paolo Bercelli, and Saber Aloui |
| BigD350 | "How to Protect the Public Opinion Against New Types of Bots?" Jan Ludwig Reubold, Stephan Cornelius Escher, Christian Wressnegger, and Thorsten Strufe |
| BigD362 | "Detecting Neighborhood Gentrification at Scale via Street-level Visual Data" Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Ng, Ram Rajagopal, and Jackelyn Hwang |
| BigD444 | "Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19" Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, and Yutaka Arakawa |
| BigD479 | "Store Congestion Forecast under the Pandemic using Point of Sales Statistics" Masahiro Bessho and Ken Sakamura |
| BigD547 | "Cough Classification with Deep Derived Features using Audio Spectrogram Transformer" Julio Valdes, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, and Frank Knoefel |
| BigD579 | "Multi-Behavior Recommendation with Hyperbolic Geometry" Di You, Thanh Tran, and Kyumin Lee |
| BigD604 | "ESEP: Data-Driven Emergency and Safe Evacuation Driving Path Planning During Natural Catastrophes" Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, and Joshua Anton |
| BigD611 | "Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets" Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, and U Kang |
| BigD707 | "Machine Learning for Improved Post-fire Debris Flow Likelihoods Prediction" Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, and Ilkay Altintas |
| BigD735 | "APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction" Tian Xia, Bo Hui, and Wei-Shinn Ku |
| BigD737 | "Transition-Aware Multi-Activity Knowledge Tracing" Siqian Zhao, Chunpai Wang, and Shaghayegh Sahebi |
| BigD751 | "Shape-based Evaluation of Epidemic Forecasts" Ajitesh Srivastava, Satwant Singh, and Fiona Lee |
| BigD789 | "Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources" Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Lewis, and Madhav Marathe |
| Paper ID | Short Papers |
|---|---|
| BigD214 | "MeWP: Meta-Learning based Water-Level Prediction" Justin Mao, Oliver Yun, Conner Kim, Haipeng Chang, and Xuehan Sun |
| BigD245 | "POSGen: Personalized Opening Sentence Generation for Online Insurance Sales" Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, and Qiang Li |
| BigD311 | "ISIDE: Proactively Assist University Students at Risk of Dropout" Enrico Bassetti, Andrea Conti, Emanuele Panizzi, and Gabriele Tolomei |
| BigD320 | "Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams" Minh-Huong Le-Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, and Albert Bifet |
| BigD327 | "Leveraging Subgraph Structure for Exploration and Analysis of Bitcoin Address" Yuexin Xiang, Tiantian Li, and Yuquan Li |
| BigD337 | "Secure Multi-party kNN Search in Large-scale Spatial Data Federation" Yuanyuan Zhang, Yexuan Shi, Nan Zhou, Yi Xu, and Ke Xu |
| BigD396 | "Teachers in Social Media: A Gender-aware Behavior Analysis" Hamid Karimi, Kaitlin Torphy Knake, and Kenneth A. Frank |
| BigD397 | "Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition" Jingzhe Liu and Peng Wu |
| BigD401 | "An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios" Wenbin Gan, Minh-Son Dao, and Koji Zettsu |
| BigD460 | "Automatic Eating Behavior Detection from Wrist Motion Sensor Using Bayesian, Gradient Boosting, and Topological Persistence Methods" Yu-Min Chung, Amir Nikooienejad, and Bo Zhang |
| BigD491 | "Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation" Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, and Vito D’Orazio |
| BigD500 | "Semantic-based Attention model for Hospital Readmission Prediction" Sea Jung Im, Yue Xu, and Jason Watson |
| BigD502 | "Graph Structure Neural Differential Equations on Spatio-temporal Prediction" Hangtao He and Kejiang Ye |
| BigD511 | "Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization" Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, and Venkataramana Runkana |
| BigD523 | "Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records" Pascal Wullschleger, Simone Lionetti, Donnacha Daly, Francesca Volpe, and Grégoire Caro |
| BigD531 | "Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Conservation" Cameron Trotter, Nick Wright, A. Stephen McGough, Matt Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, and Per Berggren |
| BigD588 | "New Technologies, Old Propaganda Strategies: How Russian Disinformation about Biolabs in Ukraine was spread via Conservative and Anti-Vaccination Discourse on Twitter" Iuliia Alieva and Kathleen M. Carley |
| BigD619 | "Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets" Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, and Yulia R. Gel |
| BigD627 | "The impact of product descriptions on customers’ trust in sellers and purchase intention" Yi Sun and Yukio Ohsawa |
| BigD644 | "DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction" Xianlai Chen, Jiamiao Lin, and Ying An |
| BigD659 | "Cross-Lingual Text Classification of Transliterated Hindi and Malayalam" Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, and Huzefa Rangwala |
| BigD669 | "Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator" Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, and Yoshihide Sekimoto |
| BigD713 | "Building the Next-Generation Radio Networks Planning Infrastructure Using Datacubes" Peter Baumann, Johannes Boensmann, and Bang Pham Huu |
| BigD746 | "Mobile Application Behaviour Anomaly Detection based on API Calls" Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Enriqueta Patricia Becerra Sanchez, Christophe Atten, Jean Hilger, and Radu State |
| BigD772 | "MatPhase: Material phase prediction for Li-ion battery Reconstruction using Hierarchical Curriculum Learning" Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, and Srikanth Allu |
| BigD801 | "A Unified Framework to Assess Market Implications of Institutional Investments" Taruna Seth and Vipin Chaudhary |
| BigD841 | "AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction" Zhongfen Deng, Wei-Te Chen, Lei Chen, and Philip Yu |
| BigD842 | "Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction" Yanbo Pang and Yoshihide Sekimoto |
Industry and Government Program
| Paper ID | Regular Papers |
|---|---|
| N215 | Decision Support for Disability Employment using Counterfactual Survival Analysis Ha Tran, Thuc Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, and Tony Waters |
| N216 | Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry Xiang Xie, Muen Jin, Anqi Chu, and Wilhelm Stork |
| N221 | Deep Time Series Sketching and Its Application on Industrial Time Series Clustering Hao Huang, Tapan Shah, and Shinjae Yoo |
| N238 | System and Method on Order Management Using Neural Networks and Risk Modeling Shubhi Asthana, Bing Zhang, Pawan Chowdhary, and Taiga Nakamura |
| N240 | ScaDLES: Scalable Deep Learning over Streaming data at the Edge Sahil Tyagi and Martin Swany |
| N241 | Mining Railway Grievances on Twitter for Efficient E-Governance in India Swati Agarwal, Ashrut Kumar, and Rijul Ganguly |
| N242 | Enhanced Video BERT for Fast Video Advertisement Retrieval Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, and Ping Li |
| N244 | Protein-Protein Interactions (PPIs) Extraction from Biomedical Literature using Attention-based Relational Context Information Gilchan Park, Sean Mc Corkle, Carlos Soto, Ian Blaby, and Shinjae Yoo |
| N249 | Predictive model of frailty onset using Bayesian network Yujiro Kawai, Eiichi Sakurai, Yuki Sugawara, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, and Shinya Kuno |
| N254 | Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application Zhiren Huang, Alonso Espinosa, and Charalampos Sipetas |
| N255 | Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain Hossein Keshavarz, Zografoula Vagena, Pigi Kouki, Ilias Fountalis, Mehdi Mabrouki, Aziz Belaweid, and Nikolaos Vasiloglou |
| N257 | Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets Christian Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, and Jianping Zhang |
| N258 | A practical facility location optimization with uncertain variables in emergency road services Shogo Takedomi and Tsukasa Ishigaki |
| N260 | In-DBMS K-means Clustering for Binary Streams Carlos Garcia-Alvarado and Carlos Ordonez |
| N267 | Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift Yuya Takada and Kiyoshi Izumi |
| N285 | Boost CTR Prediction for New Advertisements via Modeling Visual Content Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, and Ping Li |
| N286 | Scalable Household Identification using Mobile Engagement Data - A Weighted Two-Mode Network Approach Vishnu Gowthem Thangaraj, Kajanan Sangaralingam, Nisha Verma, and Anindya Dutta |
| N287 | Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katie Stern, and Grant O'Keefe |
| N290 | From Billion to Trillion : Feature Fusion Network for Personalized Online Advertising Systems Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Liu, and Ping Li |
| N292 | Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, and Ping Li |
| N295 | Flexible Partitioning of Geographical Information based on GPS Coordinates for k-Anonymity Liu Yuxin and Kazuhiro Minami |
| Paper ID | Short Papers |
|---|---|
| N204 | Towards a Digital Data Platform for Connected Clinical Trials Hui Zhang, Ju Ji, Guangchen Ruan, Neel Patel, Regan Giesting, Leah Miller, Yi Lin Yang, and Jian Yang |
| N225 | Similarity-based past feature selection to predict irregular holiday traffics in real-time Pooreumoe Kim, Jungsoo Park, Seungyoun Lee, and Jungmin Kim |
| N226 | A Hybrid Score to Optimize Clustering Hyperparameters for Online Search Term Data Ariana Martino and Allison Rossetto |
| N228 | The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security! Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Jaya Shankar Vuppalapati, and Santosh Kedari |
| N230 | Bilateral Trade Flow Prediction by Gravity Graph Auto-encoder Naoto Minakawa, Kiyoshi Izumi, and Hiroki Sakaji |
| N231 | Learning skills adjacency representations for optimized reskilling recommendations Saksham Gandhi, Raj Nagesh, and Subhro Das |
| N232 | Improving Paper Classification Using Forecasting Jason Zhang, Krerkkiat Chusap, Wei Zhang, and Chang Liu |
| N233 | SETN: Stock Embedding Enhanced with Textual and Network Information Takehiro Takayanagi, Hiroki Sakaji, and Kiyoshi Izumi |
| N234 | Enabling Real-Time Low-Cost Spectral Analysis on Edge Devices with Deep Neural Networks: a Robust Hybrid Approach Xiang Xie, Tiantian Chen, and Wilhelm Stork |
| N243 | Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks Wenqi Wei, Mu Qiao, Eric Butler, and Divyesh Jadav |
| N245 | Explainable Machine Learning Models for Evaluating Government Grantmaking Daniel Fonner and Frank Coyle |
| N246 | The Data Recovery Service in NoSQL Hung-Chang Hsiao |
| N251 | A monitoring framework for deployed machine learning models with supply chain applications Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen, France Savard, and Xiaowei Bao |
| N252 | Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents Shreya Saxena, Raj Sangani, Siva Prasad, Shubham Kumar, Mihir Athale, Rohan Awhad, and Vishal Vaddina |
| N253 | Learning from Disagreement for Event Detection Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, and Wei Zhang |
| N256 | Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, and Jianping Zhang |
| N261 | Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network Mariam BARRY, Albert BIFET, Raja CHIKY, Saad EL JAOUHARI, Jacob MONTIEL, Aissa EL OUAFI, Dhiaddedine YOUSFI, Eric GUERIZEC, and Aurel NOBIAL |
| N262 | StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams Mariam BARRY, Saad EL JAOUHARI, Albert BIFET, Eric GUERIZEC, Jacob MONTIEL, and Raja CHIKY |
| N264 | Implementation of Empath X SLA predictive tool for a Government Agency Alvina Hui Shan Lee, Venky Shankararaman, and Eng Lieh Ouh |
| N275 | Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations Vahid Azizi, Saayan Mitra, and Xiang Chen |
| N276 | Matching Attacks on Non-deterministic Algorithms for Cell Suppression Problem for Tabular Data Yutaka Abe and Kazuhiro Minami |
| N278 | Regression based Optimizer Statistics generation based on q-error Parag Paul, Wenlu Wang, Haiwuan Chen, and Wei-Shinn Ku |
| N279 | Conversion-Based Dynamic-Creative-Optimization in Native Advertising Yohay Kaplan, Yair Koren, Alex Shtoff, Tomer Shadi, and Oren Somekh |
| N282 | DedupeGov: A Platform for Deduplication of Large Volumes of Data From Natural and Legal Entities in the Governmental Field Marcos Carvalho, Vitor Mangaravite, Lucas Ponce, Luis Cantelli, Bruno Campoi, Gabriel Nunes, Bruno Paiva, Alberto Laender, and Marcos Gonçalves |
| N288 | Distributed Incremental Machine Learning for Big Time Series Data Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley Gifford, Stuart Siegel, Vijay Ekambaram, and Arindam Jati |
| N289 | Semantic Segmentation Approaches in Crop Row Detection Rashed Doha, Mohammad Al Hasan, and Sohel Anwar |
| Paper ID | Poster Papers |
|---|---|
| N206 (Abs.) | Geospatial Segmentation Method for Visiting Trend Analysis Sumit Jain, Kazune Furudo, Yuiko Kumagai, and Satoshi Kamatani, A Scalable |
| N207 (Abs.) | TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs Mirela Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Meng-Chieh Lee, Namyong Park, Pedro Fidalgo, Bruno Lages, Agma Traina, and Christos Faloutsos |
| N208 (Abs.) | DSServe - Data Science using Serverless Dhaval Patel, Shuxin Li, and Jayant Kalagnanam |
| N209 (Abs.) | A Hybrid Approach to Similar Stock Recommender with Taxonomy and Behavior Data Yizhi Mao, Miao Chen, Bill Dorn, and Yan He |
| N210 | Assessed via Job Transition Data Tyler Baldwin, Wyatt Clarke, Maysa Macedo, Rogerio Paula, and Subhro Das, Better Skill-based Job Representations |
| N211 (Abs.) | An automatic machine vision-based algorithm for defect inspection of hardwood flooring in the manufacturing process Van Doi Truong, Thong Nguyen, Hyunkyo Lim, Seungbeom Jang, and Jonghun Yoon |
| N217 | Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic Gloria Hristova and Nikolay Netov |
| N218 (Abs.) | QUBO-inspired Molecular Fingerprint for Chemical Property Prediction Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, and Akinori Asahara |
| N219 (Abs.) | The relationship between Twitter sentiment and mobility during the COVID-19 pandemic Yoshiyuki Suimon, Hiroto Tanabe, and Kiyoshi Izumi |
| N222 (Abs.) | Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax Priya Mehta, Sanat Bhargava, Sandeep Kumar, Ravi Kumar, and Sobhan Babu Ch |
| N223 | SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information Rei Taguchi, Hiroki Sakaji, and Kiyoshi Izumi |
| N229 (Abs.) | Point cloud based CBCT and scan data automatically integrated RANSAC algorithm for precise 3D teeth models used in orthodontic treatment Hyun-Kyo Lim, Thong Phi Nguyen, Jang-Hoon Ahn, and Jonghun Yoon |
| N235 (Abs.) | Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model Hiroki Sakaji, Masahiro Suzuki, Kiyoshi Izumi, and Hiroyuki Mitsugi |
| N236 | Recovery-Robust Inquiry to External Services from Stream Processing Application Yuki Nishiguchi, Hiroaki Aoki, Takafumi Onishi, Julius Michaelis, and Yasuhiko Kanemasa |
| N247 | HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks Hong-Linh Truong and Nguyen Ngoc Nhu Trang |
| N248 (Abs.) | Analysis and Estimation of News Article Reading Time with Multimodal Machine Learning Shotaro Ishihara and Yasufumi Nakama |
| N250 (Abs.) | Earth Observation Data Utilization for SDGs Indicators: 15.4.2 and 11.3.1 Osamu Ochiai, Mariko Harada, and Ko Hamamoto |
| N259 (Abs.) | Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection Kyumin Lee, Guanyi Mou, and Scott Sievert |
| N263 (Abs.) | Implementation of Empath X SLA predictive tool for a Government Agency in Singapore Alvina Hui Shan Lee, Venky Shankararaman, and Eng Lieh Ouh |
| N268 (Abs.) | Smart System for Multi-Cloud Pathways Indervir Singh Banipal and Shubhi Asthana |
| N269 (Abs.) | A Geomagnetic Sensor Dataset for Traffic Flow Prediction Huanchen WANG, Quanjun Chen, Zheng DONG, Xuan Song, Hao Tian, Donglong YANG, and Manxia LIU |
| N270 (Abs.) | Data Utilization in the Education Field by Local and Central Governments in Japan Hikojiro Fujiwara and Satoru Hagino |
| N271 (Abs.) | Big data techniques for Industrial problem with little data Elham Khabiri, Bhavna Agrawal, Joseph Lindquist, Yingjie Li, and Anuradha Bhamidipaty |
| N272 | Automating privacy compliance in the decentralized enterprise Gero Dittmann, Chris Giblin, Michael Osborne, and Rahul - |
| N273 | Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information Pavlo Tertychnyi, Tommy Lindström, Changling Liu, and Marlon Dumas |
| N280 (Abs.) | Comparative Reasoning for Knowledge Graph Fact Checking Lihui Liu, Houxiang Ji, Jiejun Xu, and Hanghang Tong |
| N281 (Abs.) | An in-depth analysis of community question answering patterns across multiple platforms Rima Hazra, Agnik Saha, Somnath Banerjee, and Animesh Mukherjee |
| N283 | StarBridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom network Pedro Fidalgo, Rui Lopes, and Christos Faloutsos |
| N284 (Abs.) | Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, and Ping Li |
| N291 (Abs.) | FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, and Ping Li |