IEEE Big Data 2021 Accepted Papers
Regular Papers
Paper ID | Regular Papers |
BigD226 | Xiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, and Lei Zhang, Weather radar echo prediction method based on recurrent convolutional neural network |
BigD242 | KAI-YUAN HOU, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok Choudhary, and Wei-keng Liao, Supporting Data Compression in PnetCDF |
BigD243 | Shen 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 |
BigD264 | Da 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 |
BigD266 | Hongjie Chen, Ryan Rossi, Kanak Mahadik, and Hoda Eldardiry, Context Integrated Relational Spatio-Temporal Resource Forecasting |
BigD267 | Huijuan Zhang, Lipeng Liang, and Dongqing Wang, Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network |
BigD268 | Fuxin 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 |
BigD270 | Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, and Odej Kao, Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters |
BigD272 | Minh Vu, Truc Nguyen, NhatHai Phan, Ralucca Gera, and My Thai, c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation |
BigD273 | Wei Rang, Donglin Yang, Zhimin Li, and Dazhao Cheng, Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications |
BigD275 | Yuping 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 |
BigD283 | Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen Wilson, and Linda Petzold, An Analysis of Relation Extraction from Wet Lab Protocols |
BigD296 | Sicong Liang, Chang Deng, and Yu Zhang, A Simple Approach to Balance Task Loss in Multi-Task Learning |
BigD298 | Huiyu Wu and Diego Klabjan, Logit-based Uncertainty Measure in Classification |
BigD303 | Kuan Feng, Yanmin Zhu, and Jiadi Yu, Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor |
BigD323 | Panpan Zheng, Shuhan Yuan, Xintao Wu, and Yubao Wu, Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process |
BigD325 | Shengzhong Liu, Franck Le, Supriyo Chakraborty, and Tarek Abdelzaher, On Exploring Attention-based Explanation for Transformer Models in Text Classification |
BigD329 | Yangdi Lu and Wenbo He, MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbours |
BigD331 | Guobing 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 |
BigD337 | Kevin Kocon and Pascal Bormann, Point cloud indexing using Big Data technologies |
BigD346 | Cheng Hsu, Cheng-Te Li, Diego Saez-Trumper, and Yi-Zhan Hsu, WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia |
BigD347 | Brandon Foggo and Nanpeng Yu, Analyzing Data Selection Techniques with Tools from the Theory of Information Losses |
BigD361 | Xiaohan 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 |
BigD369 | Xiao Han, He Cheng, Depeng Xu, and Shuhan Yuan, InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data |
BigD370 | Ziqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, and Liu Bo, Understanding User Topic Preferences across Multiple Social Networks |
BigD371 | Qiao 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 |
BigD373 | Tiantian Zhang and Man Lan, Target-dependent Event Detection: A New Task to Event Extraction from News |
BigD376 | Mingzhe Liu, Bowen Du, and Leilei Sun, Co-Prediction of Station-based Multimodal Transportation Demands With Self-learned Spatiotemporal Dependence |
BigD383 | Dimitrios Karapiperis, Aris Gkoulalas-Divanis, and Vassilios Verykios, MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution |
BigD389 | Daniel Zhang, Jonathan Hueser, Yao Li, and Sarah Campbell, Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant Application |
BigD393 | Xuan 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 |
BigD394 | Raed Alharbi, Minh Vu, and My T. Thai, Learning Interpretation Representations withExplainable Knowledge Distillation |
BigD397 | Abdullah-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 |
BigD404 | Wenlu Wang, Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction |
BigD411 | Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua Levine, Remco Chang, and Carlos Scheidegger, NeuralCubes: Deep Representations for Visual Data Exploration |
BigD414 | Yiming Xu and Diego Klabjan, Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels |
BigD416 | Yiming Bian and Arun Somani, A Systematic Approach to Efficiently Find All Cyclic Quorum Sets with All-pairs Property |
BigD417 | Yifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, and Pan Li, Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach |
BigD418 | Benedetta Iavarone and Anna Monreale, From depression to suicidal discourse on Reddit |
BigD421 | Xiaopeng 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 |
BigD425 | Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Chau, and Jimeng Sun, HAR: Hardness Aware Reweighting for Imbalanced Datasets |
BigD426 | Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, and Sthitie Bom, GraSSNet: Graph Soft Sensing Neural Networks |
BigD430 | Sanjana Srinivas and Mahima Agumbe Suresh, Faster Depth Estimation for Situational Awareness on Urban Streets |
BigD436 | Guanxiong Liu, Issa Khalil, Abdallah Khreishah, and NhatHai Phan, A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples |
BigD439 | Daniel Tschernutter and Stefan Feuerriegel, A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts |
BigD442 | Md Hasanuzzaman Noor and Leonidas Fegaras, Translation of Array-Based Graph Programs to Spark SQL on Block Arrays |
BigD443 | Zihan Zhou and Mingxuan Sun, Multivariate Hawkes Processes for Incomplete Biased Data |
BigD444 | Wenqi Cao, Ling Liu, Gong Su, and Arun Iyengar, Efficient Huge Page Management with Xpage |
BigD453 | Guanyi Mou, Yichuan Li, and Kyumin Lee, Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification |
BigD459 | Rameshwar Pratap, Hrushikesh Sudam Sarode, Suryakant Bhardwaj, and Raghav Kulkarni, Feature Hashing with Insertion and Deletion of Features |
BigD461 | Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, and Vipin Kumar, Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping |
BigD467 | Zhengming 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 |
BigD469 | Nikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, and Nectarios Koziris, Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics |
BigD474 | Hamed Jalali, Martin Pawelczyk, and Gjergji Kasneci, Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach |
BigD475 | James Hicks and Thilanka Munasinghe, Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants |
BigD481 | Hiroto Akatsuka, Yasunori Kamata, Tomohiro Nagata, Naoko Komiya, Makoto Goto, and Masayuki Terada, Traffic Dispersion by Predicting Traffic Conditions based on Population Distribution |
BigD484 | Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P.Yurko, and Xiaowei Jia, Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks |
BigD497 | Liwei 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 |
BigD512 | Aswin 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 |
BigD514 | Mohamed Ragab, Feras M. Awaysheh, and Riccardo Tommasini, Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks |
BigD519 | Brian Wheatman and Randal Burns, Streaming Sparse Graphs using Efficient Dynamic Sets |
BigD526 | Zichao Wang, Mengxue Zhang, Richard Baraniuk, and Andrew Lan, Scientific Formula Retrieval via Tree Embeddings |
BigD537 | Juhyun Bae, Ling Liu, KaHo Chow, Yanzhao Wu, Gong Su, and Arun Iyengar, Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds |
BigD540 | Maria Kalantzi and George Karypis, Position-based Hash Embeddings For Scaling Graph Neural Networks |
BigD555 | Jian 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 |
BigD561 | Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, and Hao Yang, Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection |
BigD568 | Edoardo Serra, Anna Squicciarini, Sujeet Ayyapureddi, and Qudrat Ratul, A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization |
BigD569 | Duy-Khoi Vo, Sergej Zerr, Xiaofei Zhu, and Wolfgang Nejdl, Efficient Scalable Temporal Web Graph Store |
BigD571 | George Constantinou, Cyrus Shahabi, and Seon Ho Kim, Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis |
BigD582 | Saurav Manchanda, Da Zheng, and George Karypis, Schema-Aware Deep Graph ConvolutionalNetworks for Heterogeneous Graphs |
BigD589 | Uday Kiran RAGE, Likitha P, Veena P., Yukata Watanobe, and Koji Zettsu, Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases |
BigD593 | So Hirai and Kenji Yamanishi, Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity |
BigD596 | Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo Jin Kim, and Min Chi, InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem |
BigD601 | Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, T. Noah Hutson, and Leon Iasemidis, gen2Out: Detecting and Ranking Generalized Anomalies |
BigD602 | Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy H. King, and Sheng Li, A Framework for Knowledge-Derived Query Suggestions |
BigD603 | Nushrat Humaira, Sadegh Sadeghi Tabas, Vidya Samadi, and Nina Hubig, FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline |
BigD604 | Yun-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 |
BigD606 | Zishi Deng and Torsten Suel, Optimizing Iterative Algorithms for Social Network Sharding |
BigD607 | Ahmadreza Mosallanezhad, Kai Shu, and Huan Liu, Generating Topic-Preserving Synthetic News |
BigD620 | Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Human-like Explanation for Text Classification with Limited Attention Supervision |
BigD623 | Prem Bhusal, AKM Mubashwir Alam, Keke Chen, Ning Jiang, and Jun Xiao, Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis |
BigD625 | Guoyi Zhao, Tian Zhou, and Lixin Gao, CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches |
BigD628 | Maminur Islam, Somdeb Sarkhel, and Deepak Venugopal, Contrastive Learning in Neural Tensor Networks using Asymmetric Examples |
BigD631 | Hadi Mansourifar and Weidong Shi, Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification |
BigD632 | Lanyu Shang, Ziyi Kou, Yang Zhang, and Dong Wang, A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok |
BigD650 | Weiwei 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 |
BigD652 | Erick 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 |
BigD653 | Sodiq 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 |
BigD657 | Negin Entezari, Evangelos Papalexakis, Haixun Wang, Sharath Rao, and Shishir Kumar Prasad, Tensor-based Complementary Product Recommendation |
BigD666 | Hangtao He, Kejiang Ye, and Cheng-Zhong Xu, Multi-feature Urban Traffic Prediction based on Unconstrained Graph Attention Network |
BigD676 | Daixuan Cheng, Haifeng Sun, Qi Qi, Jingyu Wang, and Yan Qi, Parallel Decoders Guided Lexically Constrained Response Generation |
BigD680 | Luyi 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 |
BigD685 | Colin Stephen, A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences |
BigD687 | Yongshuai Liu, Jiaxin Ding, and Xin Liu, CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing |
BigD690 | Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, and Joshua Anton, A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction |
BigD692 | Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Qin, and Hongtu Zhu, Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling |
BigD701 | Uday 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 ID | Short Papers |
BigD206 | Juan Nathaniel and Baihua Zheng, A Hybrid Graph Convolutional Network For Dynamic Origin-Destination Prediction using a Large-Scale Public Transportation Data |
BigD223 | John Martinsson, Edvin Listo Zec, Daniel Gillblad, and Olof Mogren, Adversarial representation learning for synthetic replacement of private attributes |
BigD238 | Xingyu Wang, Lida Zhang, and Diego Klabjan, Keyword-based Topic Modeling and Keyword Selection |
BigD248 | Víctor Rampérez, Shima Zahmatkesh, and Emanuele Della Valle, Scaling the monitoring of approximate top-k queries in streaming windows |
BigD258 | Guanyi Mou and Kyumin Lee, An Effective, Robust and Fairness-aware Hate Speech Detection Framework |
BigD263 | Yichuan 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 |
BigD284 | Nikodimos Provatas, Ioannis Konstantinou, and Nectarios Koziris, Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? |
BigD293 | Ting Guo, Xingquan Zhu, Yang Wang, and Fang Chen, Graph Compression Networks |
BigD299 | Liang-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 |
BigD315 | Hamid Karimi, Jiliang Tang, Xochitl Weiss, and Jiangtao Huang, Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning |
BigD319 | Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, and Michael Gerndt, FedLess: Secure and Scalable Federated Learning Using Serverless Computing |
BigD320 | Xiaofeng Zhu and Diego Klabjan, Continual Neural Network Model Retraining |
BigD321 | Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, and Neil Heffernan, Fairness-aware Bandit-based Recommendation |
BigD324 | Zhaoheng Li, Xinyu Pi, Mingyuan Wu, and Hanghang Tong, REFORM: Fast and Adaptive Solution for Subteam Replacement |
BigD327 | AKM 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 |
BigD332 | Amel Hidouri, Said Jabbour, Imen Ouled Dlala, and Badran Raddaoui, On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability |
BigD343 | Bo Hui, Da Yan, and Wei-Shinn Ku, Node-Polysemy Aware Recommendation by Matrix Completion with Side Information |
BigD353 | Arun Sathanur and Arif Khan, Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems |
BigD354 | Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, and Sangmi Pallickara, Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery |
BigD356 | Jasmine DeHart, Chenguang Xu, Lisa Egede, and Christan Grant, Proposing an Interactive Audit Pipeline for Visual Privacy Research |
BigD358 | Radwa El Shawi, cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering |
BigD366 | Wenting Qi and Charalampos Chelmis, Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data |
BigD374 | Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie, CONAN: Contrastive Fusion Networks for Multi-view Clustering |
BigD380 | Md 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 |
BigD382 | Dinusha Vatsalan, Raghav Bhaskar, Aris Gkoulalas-Divanis, and Dimitrios Karapiperis, Privacy Preserving Text Data Encoding and Topic Modelling |
BigD388 | Shaika Chowdhury, Halid Yerebakan, Yoshihisa Shinagawa, and Philip S. Yu, MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports |
BigD390 | Vanja Ljevar, James Goulding, Gavin Smith, and Alexa Spence, Using Model Class Reliance to Measure Group Effects on Non-Adherence to Asthma Medication |
BigD398 | Steven Carrell and Amir Atapour-Abarghouei, Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking |
BigD401 | Guillaume Habault, Shinya Wada, and Chihiro Ono, Influence of Land Use information over performance when predicting spatiotemporal electricity load demand |
BigD406 | Hiroshi Inoue, Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision |
BigD407 | Rachel Zheng, Kunpeng Zhang, Harry Wang, Ling Fan, and Zhe Wang, Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization |
BigD409 | Roxane Desrousseaux, Gilles Bernard, and Jean-Jacques Mariage, Predicting Financial Suspicious Activity Reports with Online Learning Methods |
BigD410 | Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Andre Luckow, and Florian Matthes, Exploring privacy-enhancing technologies in the automotive value chain |
BigD413 | Peter Xenopoulos and Claudio Silva, Graph Neural Networks to Predict Sports Outcomes |
BigD415 | Alexander Lapanowski and Irina Gaynanova, Compressing large sample data for discriminant analysis |
BigD433 | Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, and Qingyong Li, DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting |
BigD434 | Lei Cao, Peng Xu, and Wei* Shang*, A text-based mining approach for real estate policy impact monitoring and analysis |
BigD441 | Quanliang Jing, Yao Di, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, and Jingping Bi, TRAJCROSS: Trajecotry Cross-Modal Retrieval with Mulit-level Contrastive Learning |
BigD446 | Andy Berres, Brett Bass, Mark Adams, Eric Garrison, and Joshua New, A Data-Driven Approach to Nation-Scale Building Energy Modeling |
BigD452 | Andrew Kwok-fai Lui, Yin-hei Chan, and Man-fai Leung, Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings |
BigD460 | Cristina Menghini, Aris Anagnostopoulos, and Eli Upfal, How Inclusive Are Wikipedia’s Hyperlinks inArticles Covering Polarizing Topics? |
BigD463 | Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David Mulla, and Vipin Kumar, CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels |
BigD464 | Yue Zhang, Wanying Ding, Ran Xu, and Xiaohua Hu, Towards Explainable Visual Emotion Understanding |
BigD466 | Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, and Deepak Venugopal, Interpretable Explanations for Probabilistic Inference in Markov Logic |
BigD478 | Wenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, and Yatian Shen, Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling |
BigD480 | Takako 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 |
BigD489 | Yikai Huang, Zhili Yao, and Jianlin Feng, P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data |
BigD491 | Dimitrios Klagkos and Vana Kalogeraki, Evaluating Actions in Sports Analytics with Deep Learning |
BigD498 | Zhiyuan Wu, Ning Liu, Guodong Li, Xinyu Liu, Yue Wang, and Lin Zhang, A Variational Bayesian Approach for Fast Adaptive Air Pollution Prediction |
BigD500 | Erika Duriakova, Elias Tragos, Aonghus Lawlor, Barry Smyth, and Neil Hurley, Boosting the Training Time of Weakly Coordinated Distributed Machine Learning |
BigD510 | Xiaolin 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 |
BigD516 | Ryo Kawahara and Mikio Takeuchi, Cash flow prediction of a bank deposit using scalable graph analysis and machine learning |
BigD517 | Albert Asratyan, Sina Sheikholeslami, and Vladimir Vlassov, A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation |
BigD518 | Toan V. Tran, Thanh-Nam Doan, and Mina Sartipi, TSLib: A unified Traffic Signal Controls framework using Deep Reinforcement Learning and Benchmarking |
BigD521 | Yeo Jin Kim, Markel Sanz Ausin, and Min Chi, Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention |
BigD527 | Soumya Dutta, Humayra Tasnim, Terece Turton, and James Ahrens, In Situ Adaptive Spatio-Temporal Data Summarization |
BigD529 | Kaiqun 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 |
BigD531 | Prabin Lamichhane and William Eberle, Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept |
BigD532 | Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, and Yoshihide Sekimoto, Citywide reconstruction of cross-sectional traffic flow from moving camera videos |
BigD542 | Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Thomas Hartvigsen, Elke Rundensteiner, and Emmanuel Agu, Variational Open Set Recognition |
BigD549 | Zhen Deng, Jiaoyang Huang, and Kenji Kawaguchi, How Shrinking Gradient Noise Helps the Performance of Neural Networks |
BigD554 | Nguyen Ho, Van Long Ho, Torben Bach Pedersen, and Mai Vu, Efficient and Distributed Temporal Pattern Mining |
BigD557 | Petros Barmpas, Aristidis Vrahatis, and Sotiris Tasoulis, RLAC: Random Line Approximation Clustering |
BigD562 | Peng Zhao and Guanyu Hu, Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings |
BigD566 | Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, and Jinoh Kim, Zero-day Malware Detection using Threshold-free Autoencoding Architecture |
BigD580 | Yu Pan, Kwo-Sen Kuo, Michael Rilee, and Hongfeng Yu, Assessing Deep Neural Networks as Probability Estimators |
BigD583 | Robert Fitzgerald and Farnoush Banaei-Kashani, City-Scale System-Optimal Route Planning with Route Replanning |
BigD584 | Saurav Manchanda, Mohit Sharma, and George Karypis, Distant-Supervised Slot-Filling for E-Commerce Queries |
BigD586 | Tianchuan Du, Keng-hao Chang, Paul Liu, and Ruofei Zhang, Improving Taxonomy-based Categorization with Categorical Graph Neural Networks |
BigD588 | Zinat Ara and Mahdi Hashemi, Traffic Flow Prediction using Recurrent Neural Network and Optimized Spatial Temporal Dependencies |
BigD591 | Zhantong Liang and Abdou Youssef, Deep Sentence Denoising beyond Grammatical Error Correction |
BigD592 | Chetraj Pandey, Rafal Angryk, and Berkay Aydin, Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms |
BigD597 | Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, and Dong Wang, ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation |
BigD598 | Song 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 |
BigD599 | Yuansheng 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 |
BigD614 | Wesley Lin, YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management |
BigD615 | Jack J Amend, Albatool Wazzan, and Richard Souvenir, Evaluating Gender-Neutral Training Data for Automated Image Captioning |
BigD617 | Haiyang He, Xiaolin Li, Zhihong Wang, and Shiguo Huang, ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection |
BigD630 | Alexander He and Thilanka Munasinghe, Chronic Respiratory Disease: Risk Modeling Potential and Limitations |
BigD634 | Xiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu, and A. Pavan, Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization |
BigD636 | Pei-Cheng Tu and Hsing-Kuo Pao, A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning Given Naive Experience |
BigD642 | Parantapa 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 |
BigD644 | Dennis Huynh, Garrett Audet, Nikolay Alabi, and Yuan Tian, Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window |
BigD645 | Sarwan Ali and Murray Patterson, Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences |
BigD647 | Weiwei 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 |
BigD651 | Henriette Röger, Sukanya Bhowmik, and Tobias Linn, A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures |
BigD660 | Nassim Bouarour, Idir Benouaret, and Sihem Amer-Yahia, How Useful is Meta-Recommendation? An Empirical Investigation |
BigD662 | Huan Dai, Yue Yun, Yupei Zhang, and Xuequn Shang, VarSKD: A Varitional Student Knowledge Diagnosis for Efficient Representing Student Latent Knowledge Space |
BigD664 | Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, and Xueqi Cheng, UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation |
BigD665 | Nirupama Appikatala, SansWord Huang, Balachandar Sankar, Shweta Tripathi, and Eyan Goldman, Identifying Salient Entities of News Articles Using Binary Salient Classifier |
BigD671 | Daniel Peralta, Lin Tang, Maxim Lippeveld, and Yvan Saeys, A study on the calibration of fingerprint classifiers |
BigD677 | Hang Nguyen, MD YUSUF SARWAR UDDIN, and Nalini Venkatasubramanian, REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems |
BigD682 | Hangyue Li, Xucheng Luo, Qinze Yu, and Haoran Wang, Session-based Recommendation via Contrastive Learning on Heterogeneous Graph |
BigD689 | Taruna Seth and Vipin Chaudhary, A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data |
BigD694 | Carlos Escobar, Debejyo Chakraborty, Jorge Arinez, and Ruben Morales-Menedez, Augmentation of Body-in-White Dimensional Systems through Artificial Intelligence |
BigD696 | Dai-Hai Ton That, Alexander Rasin, and Tanu Malik, LDI: Learned Distribution Index for Column Stores |
BigD702 | Jinwei 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 ID | Regular Papers |
N201 | Lohit 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 |
N203 | Alex Shtoff and Yair Koren, Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models |
N206 | Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Girdzijauskas, A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming |
N209 | Sean Rooney, Luis Garcés-Erice, Daniel Bauer, and Peter Urbanetz, Pathfinder: Building the Enterprise Data Map |
N210 | Chao 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 |
N211 | Xiaoye 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 |
N212 | Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, and Masashi Shibata, A Real-World Implementation of UnbiasedLift-based Bidding System |
N213 | Jaswanth Yelle, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali Minai, and Sthitie Bom, Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer |
N216 | Rathakrishnan Bhaskaran, Ramakrishnan Kannan, Brian Barr, and Stephan Priebe, Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation |
N217 | Takashi Isobe and Yoshihiro Okada, Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures |
N218 | Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, and Brigitte Jaumard, Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? |
N219 | Amir Yaghoubi Shahir, Tilemachos Charalampous, Mohammad A. Tayebi, Uwe Glässer, and Hans Wehn, TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns |
N222 | Vibhati Burman, Rajesh Kumar Vashishtha, Srividhya Sethuraman, Ganesh Radhakrishnan, Prashanth Ganesan, Suresh Kumar V, and Sharadha Ramanan, Markdown Pricing For a Large Scale Retailer |
N225 | Oren Somekh, Rina Levi, Yohay Kaplan, and Yair Koren, Dynamic Length Factorization Machines for CTR Prediction |
N226 | Siavash Samiei, Nasrin Baratalipour, Pranjul Yadav, Amitabha Roy, and Dake He, Addressing Stability in Classifier Explanations |
N233 | Haytham Assem, Rajdeep Sarkar, and Sourav Dutta, Qasar: Self-Supervised Learning Framework for Extractive Question Answering |
N234 | Raj Nath, Edward Burgin, Haytham Assem, and Sourav Dutta, Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders |
N236 | Eliot 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 |
N240 | Conrad Albrecht, Fernando Marianno, and Levente Klein, AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning |
N242 | Wei Zhang and Chris Challis, Virtual-SRE For Monitoring Large Scale Time-series Data |
N243 | Guixiang Ma, Yao Xiao, Mihai Capotă, Theodore Willke, Shahin Nazarian, Paul Bogdan, and Nesreen Ahmed, Learning Code Representations Using Multifractal-based Graph Networks |
N246 | Anika 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 |
N250 | Max Wurfel, Qiwei Han, and Maximilian Kaiser, Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach |
N251 | Mayank Mishra, Archisman Bhowmik, and Rekha Singhal, FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline |
N252 | Bharath Sudharsan, Optimized One-vs-One Algorithm for Online Learning on Low-cost IoT Hardware |
Industrial Track Short Papers
Paper ID | Short 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 |
N227 | Koustava 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 |
N230 | Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, and Birendra Sahu, An AI-powered Smart Routing Solution for Payment Systems |
N238 | Johannes 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 |
N247 | Miroslav Hodak and Ajay Dholakia, Recent Efficiency Gains in Deep Learning: Performance and Sustainability |
N248 | Eelaaf Zahid, Yuya Ong, Aly Megahed, and Taiga Nakamura, Predicting Loss Risks for B2B Tendering Processes |