IEEE Big Data 2021 Accepted Papers

Regular Papers

Paper IDRegular Papers
BigD226Xiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, and Lei Zhang, Weather radar echo prediction method based on recurrent convolutional neural network
BigD242KAI-YUAN HOU, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok Choudhary, and Wei-keng Liao, Supporting Data Compression in PnetCDF
BigD243Shen Wang, Xiaokai Wei, Cicero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew Arnold, and Philip S. Yu, Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding
BigD264Da Yan, Shengbin Wu, Mirza Sami, Abdullateef Almudaifer, Zhe Jiang, Haiquan Chen, Rangaprakash Deshpande, Gopikrishna Deshpande, and Yueen Ma, Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach
BigD266Hongjie Chen, Ryan Rossi, Kanak Mahadik, and Hoda Eldardiry, Context Integrated Relational Spatio-Temporal Resource Forecasting
BigD267Huijuan Zhang, Lipeng Liang, and Dongqing Wang, Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network
BigD268Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, and Philip S. Yu, HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling
BigD270Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, and Odej Kao, Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
BigD272Minh Vu, Truc Nguyen, NhatHai Phan, Ralucca Gera, and My Thai, c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
BigD273Wei Rang, Donglin Yang, Zhimin Li, and Dazhao Cheng, Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications
BigD275Yuping Wang, Savvas Zannettou, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, and Gianluca Stringhini, A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
BigD283Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen Wilson, and Linda Petzold, An Analysis of Relation Extraction from Wet Lab Protocols
BigD296Sicong Liang, Chang Deng, and Yu Zhang, A Simple Approach to Balance Task Loss in Multi-Task Learning
BigD298Huiyu Wu and Diego Klabjan, Logit-based Uncertainty Measure in Classification
BigD303Kuan Feng, Yanmin Zhu, and Jiadi Yu, Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor
BigD323Panpan Zheng, Shuhan Yuan, Xintao Wu, and Yubao Wu, Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process
BigD325Shengzhong Liu, Franck Le, Supriyo Chakraborty, and Tarek Abdelzaher, On Exploring Attention-based Explanation for Transformer Models in Text Classification
BigD329Yangdi Lu and Wenbo He, MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbours
BigD331Guobing Zou, Tengfei Li, Ming Jiang, Chenhong Cao, Bofeng Zhang, Yanglan Gan, and Yixin Chen, Temporal-aware QoS Prediction for Service Recommendation via Deep Neural Network and Feature Integration
BigD337Kevin Kocon and Pascal Bormann, Point cloud indexing using Big Data technologies
BigD346Cheng Hsu, Cheng-Te Li, Diego Saez-Trumper, and Yi-Zhan Hsu, WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
BigD347Brandon Foggo and Nanpeng Yu, Analyzing Data Selection Techniques with Tools from the Theory of Information Losses
BigD361Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip Yu, and Kannan Achan, Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
BigD369Xiao Han, He Cheng, Depeng Xu, and Shuhan Yuan, InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data
BigD370Ziqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, and Liu Bo, Understanding User Topic Preferences across Multiple Social Networks
BigD371Qiao Kang, Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert Ross, and Suren Byna, Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables
BigD373Tiantian Zhang and Man Lan, Target-dependent Event Detection: A New Task to Event Extraction from News
BigD376Mingzhe Liu, Bowen Du, and Leilei Sun, Co-Prediction of Station-based Multimodal Transportation Demands With Self-learned Spatiotemporal Dependence
BigD383Dimitrios Karapiperis, Aris Gkoulalas-Divanis, and Vassilios Verykios, MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution
BigD389Daniel Zhang, Jonathan Hueser, Yao Li, and Sarah Campbell, Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant Application
BigD393Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, and Yuxiang Luo, GLOW : Global Weighted Self-Attention Network for Web Search
BigD394Raed Alharbi, Minh Vu, and My T. Thai, Learning Interpretation Representations withExplainable Knowledge Distillation
BigD397Abdullah-Al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, and Isaac Cho, A Visual Analytics Framework for Distributed Data Analysis Systems
BigD404Wenlu Wang, Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction
BigD411Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua Levine, Remco Chang, and Carlos Scheidegger, NeuralCubes: Deep Representations for Visual Data Exploration
BigD414Yiming Xu and Diego Klabjan, Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
BigD416Yiming Bian and Arun Somani, A Systematic Approach to Efficiently Find All Cyclic Quorum Sets with All-pairs Property
BigD417Yifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, and Pan Li, Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach
BigD418Benedetta Iavarone and Anna Monreale, From depression to suicidal discourse on Reddit
BigD421Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, and Cristian Borcea, Federated Meta-Location Learning for Fine-Grained Location Prediction
BigD425Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Chau, and Jimeng Sun, HAR: Hardness Aware Reweighting for Imbalanced Datasets
BigD426Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, and Sthitie Bom, GraSSNet: Graph Soft Sensing Neural Networks
BigD430Sanjana Srinivas and Mahima Agumbe Suresh, Faster Depth Estimation for Situational Awareness on Urban Streets
BigD436Guanxiong Liu, Issa Khalil, Abdallah Khreishah, and NhatHai Phan, A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
BigD439Daniel Tschernutter and Stefan Feuerriegel, A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts
BigD442Md Hasanuzzaman Noor and Leonidas Fegaras, Translation of Array-Based Graph Programs to Spark SQL on Block Arrays
BigD443Zihan Zhou and Mingxuan Sun, Multivariate Hawkes Processes for Incomplete Biased Data
BigD444Wenqi Cao, Ling Liu, Gong Su, and Arun Iyengar, Efficient Huge Page Management with Xpage
BigD453Guanyi Mou, Yichuan Li, and Kyumin Lee, Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
BigD459Rameshwar Pratap, Hrushikesh Sudam Sarode, Suryakant Bhardwaj, and Raghav Kulkarni, Feature Hashing with Insertion and Deletion of Features
BigD461Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, and Vipin Kumar, Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping
BigD467Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, and Michael W. Mahoney, Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
BigD469Nikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, and Nectarios Koziris, Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics
BigD474Hamed Jalali, Martin Pawelczyk, and Gjergji Kasneci, Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach
BigD475James Hicks and Thilanka Munasinghe, Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants
BigD481Hiroto Akatsuka, Yasunori Kamata, Tomohiro Nagata, Naoko Komiya, Makoto Goto, and Masayuki Terada, Traffic Dispersion by Predicting Traffic Conditions based on Population Distribution
BigD484Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P.Yurko, and Xiaowei Jia, Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks
BigD497Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, and Fenglong Ma, FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
BigD512Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Manish Raje, Parikshit Ram, Ashish Verma, and Yogish Sabharwal, HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning
BigD514Mohamed Ragab, Feras M. Awaysheh, and Riccardo Tommasini, Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks
BigD519Brian Wheatman and Randal Burns, Streaming Sparse Graphs using Efficient Dynamic Sets
BigD526Zichao Wang, Mengxue Zhang, Richard Baraniuk, and Andrew Lan, Scientific Formula Retrieval via Tree Embeddings
BigD537Juhyun Bae, Ling Liu, KaHo Chow, Yanzhao Wu, Gong Su, and Arun Iyengar, Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds
BigD540Maria Kalantzi and George Karypis, Position-based Hash Embeddings For Scaling Graph Neural Networks
BigD555Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, and C. Lee Giles, Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data
BigD561Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, and Hao Yang, Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
BigD568Edoardo Serra, Anna Squicciarini, Sujeet Ayyapureddi, and Qudrat Ratul, A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization
BigD569Duy-Khoi Vo, Sergej Zerr, Xiaofei Zhu, and Wolfgang Nejdl, Efficient Scalable Temporal Web Graph Store
BigD571George Constantinou, Cyrus Shahabi, and Seon Ho Kim, Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis
BigD582Saurav Manchanda, Da Zheng, and George Karypis, Schema-Aware Deep Graph ConvolutionalNetworks for Heterogeneous Graphs
BigD589Uday Kiran RAGE, Likitha P, Veena P., Yukata Watanobe, and Koji Zettsu, Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases
BigD593So Hirai and Kenji Yamanishi, Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity
BigD596Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo Jin Kim, and Min Chi, InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
BigD601Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, T. Noah Hutson, and Leon Iasemidis, gen2Out: Detecting and Ranking Generalized Anomalies
BigD602Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy H. King, and Sheng Li, A Framework for Knowledge-Derived Query Suggestions
BigD603Nushrat Humaira, Sadegh Sadeghi Tabas, Vidya Samadi, and Nina Hubig, FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline
BigD604Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie Douglas, Andrew Lan, and Christopher Brinton, Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
BigD606Zishi Deng and Torsten Suel, Optimizing Iterative Algorithms for Social Network Sharding
BigD607Ahmadreza Mosallanezhad, Kai Shu, and Huan Liu, Generating Topic-Preserving Synthetic News
BigD620Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Human-like Explanation for Text Classification with Limited Attention Supervision
BigD623Prem Bhusal, AKM Mubashwir Alam, Keke Chen, Ning Jiang, and Jun Xiao, Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis
BigD625Guoyi Zhao, Tian Zhou, and Lixin Gao, CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches
BigD628Maminur Islam, Somdeb Sarkhel, and Deepak Venugopal, Contrastive Learning in Neural Tensor Networks using Asymmetric Examples
BigD631Hadi Mansourifar and Weidong Shi, Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification
BigD632Lanyu Shang, Ziyi Kou, Yang Zhang, and Dong Wang, A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok
BigD650Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, and Craig A. Knoblock, Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
BigD652Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick Brandt, and Vito D'Orazio, CoMe-KE: A New Transformers Based Approach for Knowledge Extraction on Conflict and Mediation Domain
BigD653Sodiq Adewole, Philip Fernandes, James Jablonski, Andrew Copland, Michael Porter, Sana Syed, and Donald Brown, Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
BigD657Negin Entezari, Evangelos Papalexakis, Haixun Wang, Sharath Rao, and Shishir Kumar Prasad, Tensor-based Complementary Product Recommendation
BigD666Hangtao He, Kejiang Ye, and Cheng-Zhong Xu, Multi-feature Urban Traffic Prediction based on Unconstrained Graph Attention Network
BigD676Daixuan Cheng, Haifeng Sun, Qi Qi, Jingyu Wang, and Yan Qi, Parallel Decoders Guided Lexically Constrained Response Generation
BigD680Luyi Ma, Jianpeng Xu, Jason H.D. Cho, Evren Korpeoglu, Sushant Kumar, and Kannan Achan, NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
BigD685Colin Stephen, A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences
BigD687Yongshuai Liu, Jiaxin Ding, and Xin Liu, CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
BigD690Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, and Joshua Anton, A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction
BigD692Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Qin, and Hongtu Zhu, Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling
BigD701Uday Kiran Rage, Pradeep Pallikila, Luna J.M, Fournier-Viger Philippe, Toyoda Masashi, and Krishna Reddy P, Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure

Short Papers

Paper IDShort Papers
BigD206Juan Nathaniel and Baihua Zheng, A Hybrid Graph Convolutional Network For Dynamic Origin-Destination Prediction using a Large-Scale Public Transportation Data
BigD223John Martinsson, Edvin Listo Zec, Daniel Gillblad, and Olof Mogren, Adversarial representation learning for synthetic replacement of private attributes
BigD238Xingyu Wang, Lida Zhang, and Diego Klabjan, Keyword-based Topic Modeling and Keyword Selection
BigD248Víctor Rampérez, Shima Zahmatkesh, and Emanuele Della Valle, Scaling the monitoring of approximate top-k queries in streaming windows
BigD258Guanyi Mou and Kyumin Lee, An Effective, Robust and Fairness-aware Hate Speech Detection Framework
BigD263Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton Faber, Cameron Fiddes, Elaine Chen, and Kai Shu, Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection
BigD284Nikodimos Provatas, Ioannis Konstantinou, and Nectarios Koziris, Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training?
BigD293Ting Guo, Xingquan Zhu, Yang Wang, and Fang Chen, Graph Compression Networks
BigD299Liang-Wei Tao, An-Fong Hwu, Yu-Jen Huang, Chi-Chung Chen, Chao-Yuan Yeh, and Shih-Hao Hung, End-to-End Performance Optimization for Training Streaming Convolutional Neural Networks using Billion-Pixel Whole-Slide Images
BigD315Hamid Karimi, Jiliang Tang, Xochitl Weiss, and Jiangtao Huang, Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning
BigD319Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, and Michael Gerndt, FedLess: Secure and Scalable Federated Learning Using Serverless Computing
BigD320Xiaofeng Zhu and Diego Klabjan, Continual Neural Network Model Retraining
BigD321Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, and Neil Heffernan, Fairness-aware Bandit-based Recommendation
BigD324Zhaoheng Li, Xinyu Pi, Mingyuan Wu, and Hanghang Tong, REFORM: Fast and Adaptive Solution for Subteam Replacement
BigD327AKM Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan, and Fuad Rahman, Towards building a robust large-scale Bangla text recognition solution using a unique multiple-domain character-based document recognition approach
BigD332Amel Hidouri, Said Jabbour, Imen Ouled Dlala, and Badran Raddaoui, On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability
BigD343Bo Hui, Da Yan, and Wei-Shinn Ku, Node-Polysemy Aware Recommendation by Matrix Completion with Side Information
BigD353Arun Sathanur and Arif Khan, Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems
BigD354Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, and Sangmi Pallickara, Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery
BigD356Jasmine DeHart, Chenguang Xu, Lisa Egede, and Christan Grant, Proposing an Interactive Audit Pipeline for Visual Privacy Research
BigD358Radwa El Shawi, cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering
BigD366Wenting Qi and Charalampos Chelmis, Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data
BigD374Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie, CONAN: Contrastive Fusion Networks for Multi-view Clustering
BigD380Md Adnan Arefeen, Sumaiya Tabassum Nimi, MD YUSUF SARWAR UDDIN, and Yugyung Lee, TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks
BigD382Dinusha Vatsalan, Raghav Bhaskar, Aris Gkoulalas-Divanis, and Dimitrios Karapiperis, Privacy Preserving Text Data Encoding and Topic Modelling
BigD388Shaika Chowdhury, Halid Yerebakan, Yoshihisa Shinagawa, and Philip S. Yu, MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports
BigD390Vanja Ljevar, James Goulding, Gavin Smith, and Alexa Spence, Using Model Class Reliance to Measure Group Effects on Non-Adherence to Asthma Medication
BigD398Steven Carrell and Amir Atapour-Abarghouei, Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
BigD401Guillaume Habault, Shinya Wada, and Chihiro Ono, Influence of Land Use information over performance when predicting spatiotemporal electricity load demand
BigD406Hiroshi Inoue, Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision
BigD407Rachel Zheng, Kunpeng Zhang, Harry Wang, Ling Fan, and Zhe Wang, Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
BigD409Roxane Desrousseaux, Gilles Bernard, and Jean-Jacques Mariage, Predicting Financial Suspicious Activity Reports with Online Learning Methods
BigD410Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Andre Luckow, and Florian Matthes, Exploring privacy-enhancing technologies in the automotive value chain
BigD413Peter Xenopoulos and Claudio Silva, Graph Neural Networks to Predict Sports Outcomes
BigD415Alexander Lapanowski and Irina Gaynanova, Compressing large sample data for discriminant analysis
BigD433Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, and Qingyong Li, DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting
BigD434Lei Cao, Peng Xu, and Wei* Shang*, A text-based mining approach for real estate policy impact monitoring and analysis
BigD441Quanliang Jing, Yao Di, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, and Jingping Bi, TRAJCROSS: Trajecotry Cross-Modal Retrieval with Mulit-level Contrastive Learning
BigD446Andy Berres, Brett Bass, Mark Adams, Eric Garrison, and Joshua New, A Data-Driven Approach to Nation-Scale Building Energy Modeling
BigD452Andrew Kwok-fai Lui, Yin-hei Chan, and Man-fai Leung, Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings
BigD460Cristina Menghini, Aris Anagnostopoulos, and Eli Upfal, How Inclusive Are Wikipedia’s Hyperlinks inArticles Covering Polarizing Topics?
BigD463Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David Mulla, and Vipin Kumar, CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
BigD464Yue Zhang, Wanying Ding, Ran Xu, and Xiaohua Hu, Towards Explainable Visual Emotion Understanding
BigD466Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, and Deepak Venugopal, Interpretable Explanations for Probabilistic Inference in Markov Logic
BigD478Wenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, and Yatian Shen, Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling
BigD480Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Shepard, Toyoda Masashi, Naoki Yoshinaga, Masaru Kitsuregawa, and Ryota Kobayashi, Two-stage Clustering Method for Discovering People’s Perceptions: A Case Study of the Covid-19 Vaccine from Twitter
BigD489Yikai Huang, Zhili Yao, and Jianlin Feng, P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data
BigD491Dimitrios Klagkos and Vana Kalogeraki, Evaluating Actions in Sports Analytics with Deep Learning
BigD498Zhiyuan Wu, Ning Liu, Guodong Li, Xinyu Liu, Yue Wang, and Lin Zhang, A Variational Bayesian Approach for Fast Adaptive Air Pollution Prediction
BigD500Erika Duriakova, Elias Tragos, Aonghus Lawlor, Barry Smyth, and Neil Hurley, Boosting the Training Time of Weakly Coordinated Distributed Machine Learning
BigD510Xiaolin Chen, Shuai Zhou, Kai Yang, Hao Fan, Yongji Wang, and Hu Wang, Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning
BigD516Ryo Kawahara and Mikio Takeuchi, Cash flow prediction of a bank deposit using scalable graph analysis and machine learning
BigD517Albert Asratyan, Sina Sheikholeslami, and Vladimir Vlassov, A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation
BigD518Toan V. Tran, Thanh-Nam Doan, and Mina Sartipi, TSLib: A unified Traffic Signal Controls framework using Deep Reinforcement Learning and Benchmarking
BigD521Yeo Jin Kim, Markel Sanz Ausin, and Min Chi, Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention
BigD527Soumya Dutta, Humayra Tasnim, Terece Turton, and James Ahrens, In Situ Adaptive Spatio-Temporal Data Summarization
BigD529Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, and Chang-Tien Lu, HastGCN: A Hierarchical Attention-Based Spatiotemporal Graph Convolutional Network for Traffic Incident Impact Forecasting
BigD531Prabin Lamichhane and William Eberle, Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept
BigD532Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, and Yoshihide Sekimoto, Citywide reconstruction of cross-sectional traffic flow from moving camera videos
BigD542Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Thomas Hartvigsen, Elke Rundensteiner, and Emmanuel Agu, Variational Open Set Recognition
BigD549Zhen Deng, Jiaoyang Huang, and Kenji Kawaguchi, How Shrinking Gradient Noise Helps the Performance of Neural Networks
BigD554Nguyen Ho, Van Long Ho, Torben Bach Pedersen, and Mai Vu, Efficient and Distributed Temporal Pattern Mining
BigD557Petros Barmpas, Aristidis Vrahatis, and Sotiris Tasoulis, RLAC: Random Line Approximation Clustering
BigD562Peng Zhao and Guanyu Hu, Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings
BigD566Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, and Jinoh Kim, Zero-day Malware Detection using Threshold-free Autoencoding Architecture
BigD580Yu Pan, Kwo-Sen Kuo, Michael Rilee, and Hongfeng Yu, Assessing Deep Neural Networks as Probability Estimators
BigD583Robert Fitzgerald and Farnoush Banaei-Kashani, City-Scale System-Optimal Route Planning with Route Replanning
BigD584Saurav Manchanda, Mohit Sharma, and George Karypis, Distant-Supervised Slot-Filling for E-Commerce Queries
BigD586Tianchuan Du, Keng-hao Chang, Paul Liu, and Ruofei Zhang, Improving Taxonomy-based Categorization with Categorical Graph Neural Networks
BigD588Zinat Ara and Mahdi Hashemi, Traffic Flow Prediction using Recurrent Neural Network and Optimized Spatial Temporal Dependencies
BigD591Zhantong Liang and Abdou Youssef, Deep Sentence Denoising beyond Grammatical Error Correction
BigD592Chetraj Pandey, Rafal Angryk, and Berkay Aydin, Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms
BigD597Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, and Dong Wang, ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation
BigD598Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria Mayorga, and Min Chi, To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning
BigD599Yuansheng Zhu, Weishi Shi, Deep Pandey, Yang Liu, Xiaofan Que, Daniel Krutz, and Qi Yu, Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
BigD614Wesley Lin, YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management
BigD615Jack J Amend, Albatool Wazzan, and Richard Souvenir, Evaluating Gender-Neutral Training Data for Automated Image Captioning
BigD617Haiyang He, Xiaolin Li, Zhihong Wang, and Shiguo Huang, ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection
BigD630Alexander He and Thilanka Munasinghe, Chronic Respiratory Disease: Risk Modeling Potential and Limitations
BigD634Xiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu, and A. Pavan, Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization
BigD636Pei-Cheng Tu and Hsing-Kuo Pao, A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning Given Naive Experience
BigD642Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan Lewis, Henning Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher Barrett, and Madhav Marathe, AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US
BigD644Dennis Huynh, Garrett Audet, Nikolay Alabi, and Yuan Tian, Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window
BigD645Sarwan Ali and Murray Patterson, Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
BigD647Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, and Craig A. Knoblock, A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
BigD651Henriette Röger, Sukanya Bhowmik, and Tobias Linn, A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures
BigD660Nassim Bouarour, Idir Benouaret, and Sihem Amer-Yahia, How Useful is Meta-Recommendation? An Empirical Investigation
BigD662Huan Dai, Yue Yun, Yupei Zhang, and Xuequn Shang, VarSKD: A Varitional Student Knowledge Diagnosis for Efficient Representing Student Latent Knowledge Space
BigD664Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, and Xueqi Cheng, UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation
BigD665Nirupama Appikatala, SansWord Huang, Balachandar Sankar, Shweta Tripathi, and Eyan Goldman, Identifying Salient Entities of News Articles Using Binary Salient Classifier
BigD671Daniel Peralta, Lin Tang, Maxim Lippeveld, and Yvan Saeys, A study on the calibration of fingerprint classifiers
BigD677Hang Nguyen, MD YUSUF SARWAR UDDIN, and Nalini Venkatasubramanian, REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems
BigD682Hangyue Li, Xucheng Luo, Qinze Yu, and Haoran Wang, Session-based Recommendation via Contrastive Learning on Heterogeneous Graph
BigD689Taruna Seth and Vipin Chaudhary, A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data
BigD694Carlos Escobar, Debejyo Chakraborty, Jorge Arinez, and Ruben Morales-Menedez, Augmentation of Body-in-White Dimensional Systems through Artificial Intelligence
BigD696Dai-Hai Ton That, Alexander Rasin, and Tanu Malik, LDI: Learned Distribution Index for Column Stores
BigD702Jinwei Liu, Long Cheng, Ankur Sarker, and Li Yan, DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care

Industrial Track Regular Papers

Paper IDRegular Papers
N201Lohit VijayaRenu, Zhenzhao Wang, Praveen Killamsetti, Tisha Emmanuel, Abhishek Jagannath, Lakshman Ganesh Rajamani, and Joep Rottinghuis, Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds
N203Alex Shtoff and Yair Koren, Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models
N206Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Girdzijauskas, A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
N209Sean Rooney, Luis Garcés-Erice, Daniel Bauer, and Peter Urbanetz, Pathfinder: Building the Enterprise Data Map
N210Chao Zhang, Jaswanth Yelle, Yu Huang, Xiaoye Qian, Sergei Petrov, Andrey Rzhetsky, and Sthitie Bom, Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
N211Xiaoye Qian, Chao Zhang, Jaswanth Yelle, Yu Huang, Ming-Chun Huang, and Sthitie Bom, Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
N212Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, and Masashi Shibata, A Real-World Implementation of UnbiasedLift-based Bidding System
N213Jaswanth Yelle, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali Minai, and Sthitie Bom, Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
N216Rathakrishnan Bhaskaran, Ramakrishnan Kannan, Brian Barr, and Stephan Priebe, Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation
N217Takashi Isobe and Yoshihiro Okada, Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures
N218Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, and Brigitte Jaumard, Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
N219Amir Yaghoubi Shahir, Tilemachos Charalampous, Mohammad A. Tayebi, Uwe Glässer, and Hans Wehn, TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns
N222Vibhati Burman, Rajesh Kumar Vashishtha, Srividhya Sethuraman, Ganesh Radhakrishnan, Prashanth Ganesan, Suresh Kumar V, and Sharadha Ramanan, Markdown Pricing For a Large Scale Retailer
N225Oren Somekh, Rina Levi, Yohay Kaplan, and Yair Koren, Dynamic Length Factorization Machines for CTR Prediction
N226Siavash Samiei, Nasrin Baratalipour, Pranjul Yadav, Amitabha Roy, and Dake He, Addressing Stability in Classifier Explanations
N233Haytham Assem, Rajdeep Sarkar, and Sourav Dutta, Qasar: Self-Supervised Learning Framework for Extractive Question Answering
N234Raj Nath, Edward Burgin, Haytham Assem, and Sourav Dutta, Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders
N236Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, and Jianwu Wang, Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting
N240Conrad Albrecht, Fernando Marianno, and Levente Klein, AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
N242Wei Zhang and Chris Challis, Virtual-SRE For Monitoring Large Scale Time-series Data
N243Guixiang Ma, Yao Xiao, Mihai Capotă, Theodore Willke, Shahin Nazarian, Paul Bogdan, and Nesreen Ahmed, Learning Code Representations Using Multifractal-based Graph Networks
N246Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils Stenvig, Bill Kay, Teja Kuruganti, and B. Aditya Prakash, Efficient Contingency Analysis in Power Systems via Network Trigger Nodes
N250Max Wurfel, Qiwei Han, and Maximilian Kaiser, Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
N251Mayank Mishra, Archisman Bhowmik, and Rekha Singhal, FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline
N252Bharath Sudharsan, Optimized One-vs-One Algorithm for Online Learning on Low-cost IoT Hardware

Industrial Track Short Papers

Paper IDShort Papers
N221 (Abs.)Heesun Won, Minh Chau Nguyen, Myeong-Seon Gil, and Yang-Sae Moon, An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis
N223 (Abs.)Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Elias Alevizos, Emmanouil Ntoulias, Alexander Artikis, Antonios Deligiannakis, Antonios Kontaxakis, Nikos Giatrakos, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, and Ralf Klinkenberg, Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data
N227Koustava Goswami, Sourav Dutta, and Haytham Assem, Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework
N228 (Abs.)Huijun Wu, Yao Li, and Chunxu Tang, Move Real-Time Data Analytics to the Cloud: A Case Study on Heron to Dataflow Migration
N229 (Abs.)Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, and Ping Li, Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising
N230Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, and Birendra Sahu, An AI-powered Smart Routing Solution for Payment Systems
N238Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, and Ricardo Buettner, A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes
N241 (Abs.)Aming Wu, Jangsoo Lee, Irshad Khan, and Young-Woo Kwon, CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning
N247Miroslav Hodak and Ajay Dholakia, Recent Efficiency Gains in Deep Learning: Performance and Sustainability
N248Eelaaf Zahid, Yuya Ong, Aly Megahed, and Taiga Nakamura, Predicting Loss Risks for B2B Tendering Processes