Table of Contents

• AI for Intelligent Financial Services: Examples and DiscussionManuela Veloso. 1-2 [doi]
• Keynote Speaker: Emery N. BrownEmery N. Brown. 3 [doi]
• Keynote Speaker: Yolanda GilYolanda Gil. 4 [doi]
• Keynote Speaker: Alessandro VespignaniAlessandro Vespignani. 5 [doi]
• Learning Effective Road Network Representation with Hierarchical Graph Neural NetworksNing Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan. 6-14 [doi]
• Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary DefenseJingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li. 15-24 [doi]
• Higher-order Clustering in Complex Heterogeneous NetworksAldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh. 25-35 [doi]
• Preserving Dynamic Attention for Long-Term Spatial-Temporal PredictionHaoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You. 36-46 [doi]
• Learning to Extract Attribute Value from Product via Question Answering: A Multi-task ApproachQifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas. 47-55 [doi]
• Kernel Assisted Learning for Personalized Dose FindingLiangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song. 56-65 [doi]
• Graph Structure Learning for Robust Graph Neural NetworksWei Jin, Yao Ma 0001, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang. 66-74 [doi]
• An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous GraphJiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang 0001, Yong Yu 0002, Zheng Zhang, Alexander J. Smola. 75-84 [doi]
• Directional Multivariate RankingNan Wang, Hongning Wang. 85-94 [doi]
• Truth Discovery against Strategic Sybil Attack in CrowdsourcingYue Wang, Ke Wang, Chunyan Miao. 95-104 [doi]
• Partial Multi-Label Learning via Probabilistic Graph Matching MechanismGengyu Lyu, Songhe Feng, Yidong Li. 105-113 [doi]
• Spectrum-Guided Adversarial Disparity LearningZhe Liu, Lina Yao, Lei Bai, Xianzhi Wang 0001, Can Wang 0004. 114-124 [doi]
• Attention and Memory-Augmented Networks for Dual-View Sequential LearningYong He, Cheng Wang, Nan Li, Zhenyu Zeng. 125-134 [doi]
• Semantic Search in Millions of EquationsLukas Pfahler, Katharina Morik. 135-143 [doi]
• SSumM: Sparse Summarization of Massive GraphsKyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin. 144-154 [doi]
• Rethinking Pruning for Accelerating Deep Inference At the EdgeDawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu 0001, Lothar Thiele. 155-164 [doi]
• Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation SystemsHao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang. 165-175 [doi]
• Structural Patterns and Generative Models of Real-world HypergraphsManh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin. 176-186 [doi]
• Efficient Algorithm for the b-Matching GraphYasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda. 187-197 [doi]
• Isolation Distributional Kernel: A New Tool for Kernel based Anomaly DetectionKai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou. 198-206 [doi]
• NodeAug: Semi-Supervised Node Classification with Data AugmentationYiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi. 207-217 [doi]
• An Embarrassingly Simple Approach for Trojan Attack in Deep Neural NetworksRuixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu. 218-228 [doi]
• Kronecker Attention NetworksHongyang Gao, Zhengyang Wang, Shuiwang Ji. 229-237 [doi]
• GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's PredictionThai Le, Suhang Wang, Dongwon Lee 0001. 238-248 [doi]
• Hierarchical Attention Propagation for Healthcare Representation LearningMuhan Zhang, Christopher R. King, Michael Avidan, Yixin Chen. 249-256 [doi]
• SCE: Scalable Network Embedding from Sparsest CutShengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou. 257-265 [doi]
• Local Community Detection in Multiple NetworksDongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang. 266-274 [doi]
• A Block Decomposition Algorithm for Sparse OptimizationGanzhao Yuan, Li Shen, Wei-Shi Zheng. 275-285 [doi]
• Adversarial Infidelity Learning for Model InterpretationJian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang. 286-296 [doi]
• Grounding Visual Concepts for Zero-Shot Event Detection and Event CaptioningZhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, ZongYuan Ge, Huaxiang Zhang. 297-305 [doi]
• How to Count Triangles, without Seeing the Whole GraphSuman K. Bera, C. Seshadhri. 306-316 [doi]
• Incremental Lossless Graph SummarizationJihoon Ko, Yunbum Kook, Kijung Shin. 317-327 [doi]
• From Online to Non-i.i.d. Batch LearningYufei Tao, Shangqi Lu. 328-337 [doi]
• Towards Deeper Graph Neural NetworksMeng Liu, Hongyang Gao, Shuiwang Ji. 338-348 [doi]
• Laplacian Change Point Detection for Dynamic GraphsShenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany. 349-358 [doi]
• Learning Transferrable Parameters for Long-tailed Sequential User Behavior ModelingJianwen Yin, Chenghao Liu, Weiqing Wang 0001, Jianling Sun, Steven C. H. Hoi. 359-367 [doi]
• TranSlider: Transfer Ensemble Learning from Exploitation to ExplorationKuo Zhong, Ying Wei 0001, Chun Yuan, Haoli Bai, JunZhou Huang. 368-378 [doi]
• InFoRM: Individual Fairness on Graph MiningJian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong. 379-389 [doi]
• Local Motif Clustering on Time-Evolving GraphsDongqi Fu, Dawei Zhou, Jingrui He. 390-400 [doi]
• A Data-Driven Graph Generative Model for Temporal Interaction NetworksDawei Zhou, Lecheng Zheng, Jiawei Han 0001, Jingrui He. 401-411 [doi]
• Recurrent Networks for Guided Multi-Attention ClassificationXin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore. 412-420 [doi]
• Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal LearningChao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu 0005. 421-429 [doi]
• XGNN: Towards Model-Level Explanations of Graph Neural NetworksHao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji. 430-438 [doi]
• CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale DataXiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester. 439-449 [doi]
• INPREM: An Interpretable and Trustworthy Predictive Model for HealthcareXianli Zhang, Buyue Qian, Shilei Cao 0001, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson. 450-460 [doi]
• Policy-GNN: Aggregation Optimization for Graph Neural NetworksKwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu. 461-471 [doi]
• Malicious Attacks against Deep Reinforcement Learning InterpretationsMengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang. 472-482 [doi]
• Disentangled Self-Supervision in Sequential RecommendersJianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu 0001. 483-491 [doi]
• DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare MisinformationLimeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee. 492-502 [doi]
• MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input SignalsNamyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos. 503-512 [doi]
• Geodesic ForestsMeghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe. 513-523 [doi]
• Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event IntervalsZed Lee, Tony Lindgren, Panagiotis Papapetrou. 524-534 [doi]
• Imputing Various Incomplete Attributes via Distance Likelihood MaximizationShaoxu Song, Yu Sun. 535-545 [doi]
• WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better AccuracySyeda Nahida Akter, Muhammad Abdullah Adnan. 546-556 [doi]
• Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label LearningJing-Han Wu, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang. 557-565 [doi]
• MinSearch: An Efficient Algorithm for Similarity Search under Edit DistanceHaoyu Zhang, Qin Zhang 0001. 566-576 [doi]
• Mining Large Quasi-cliques with Quality Guarantees from Vertex NeighborhoodsAritra Konar, Nicholas D. Sidiropoulos. 577-587 [doi]
• Residual Correlation in Graph Neural Network RegressionJunteng Jia, Austin R. Benson. 588-598 [doi]
• Towards Fair Truth Discovery from Biased Crowdsourced AnswersYanying Li, Haipei Sun, Wendy Hui Wang. 599-607 [doi]
• AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural NetworksJiancheng Lyu, Shuai Zhang 0009, Yingyong Qi, Jack Xin. 608-616 [doi]
• MoFlow: An Invertible Flow Model for Generating Molecular GraphsChengxi Zang, Fei Wang. 617-626 [doi]
• Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core SystemYipeng Zhang, Bo Du 0001, Lefei Zhang, Jia Wu 0001. 627-635 [doi]
• Missing Value Imputation for Mixed Data via Gaussian CopulaYuxuan Zhao, Madeleine Udell. 636-646 [doi]
• HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health RecordsJunyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma. 647-656 [doi]
• Personalized PageRank to a Target Node, RevisitedHanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang 0001, Zengfeng Huang. 657-667 [doi]
• Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous DataKenta Niwa, Noboru Harada, Guoqiang Zhang 0003, W. Bastiaan Kleijn. 668-678 [doi]
• Deep Learning of High-Order Interactions for Protein Interface PredictionYi Liu, Hao Yuan, Lei Cai, Shuiwang Ji. 679-687 [doi]
• MAMO: Memory-Augmented Meta-Optimization for Cold-start RecommendationManqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu. 688-697 [doi]
• Finding Effective Geo-social Group for Impromptu Activities with Diverse DemandsLu Chen, Chengfei Liu, Rui Zhou 0001, Jiajie Xu, Jeffrey Xu Yu, Jianxin Li 0001. 698-708 [doi]
• Representing Temporal Attributes for Schema MatchingYinan Mei, Shaoxu Song, Yunsu Lee, Jungho Park, Soo-Hyung Kim, Sungmin Yi. 709-719 [doi]
• Estimating Properties of Social Networks via Random Walk considering Private NodesKazuki Nakajima, Kazuyuki Shudo. 720-730 [doi]
• ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property PredictionZhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee. 731-752 [doi]
• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksZonghan Wu, Shirui Pan, Guodong Long, Jing Jiang 0002, Xiaojun Chang, Chengqi Zhang. 753-763 [doi]
• Learning Opinion Dynamics From Social TracesCorrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi. 764-773 [doi]
• Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference NetworkLe Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He 0001, Enhong Chen, Hui Xiong 0001. 774-782 [doi]
• BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit SignalsOtmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile. 783-793 [doi]
• AutoST: Efficient Neural Architecture Search for Spatio-Temporal PredictionTing Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng. 794-802 [doi]
• COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial MatchingJunyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun. 803-812 [doi]
• Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual ExclusivityJonas Fischer, Jilles Vreeken. 813-823 [doi]
• TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate RepresentationsAng Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang 0001. 824-832 [doi]
• AutoGrow: Automatic Layer Growing in Deep Convolutional NetworksWei Wen, Feng Yan 0001, Yiran Chen, Hai Li. 833-841 [doi]
• Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial NetworksYingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo. 842-852 [doi]
• Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event StreamsPengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu. 853-861 [doi]
• Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-EncoderChangchang Yin, Ruoqi Liu, DongDong Zhang, Ping Zhang. 862-872 [doi]
• A Causal Look at Statistical Definitions of DiscriminationElias Chaibub Neto. 873-881 [doi]
• Targeted Data-driven Regularization for Out-of-Distribution GeneralizationMohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang. 882-891 [doi]
• Neural Dynamics on Complex NetworksChengxi Zang, Fei Wang. 892-902 [doi]
• Grammatically Recognizing Images with Tree ConvolutionGuangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin. 903-912 [doi]
• Generic Outlier Detection in Multi-Armed BanditYikun Ban, Jingrui He. 913-923 [doi]
• Robust Spammer Detection by Nash Reinforcement LearningYingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie. 924-933 [doi]
• Mining Persistent Activity in Continually Evolving NetworksCaleb Belth, Xinyi Zheng, Danai Koutra. 934-944 [doi]
• Towards Automated Neural Interaction Discovery for Click-Through Rate PredictionQingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu. 945-955 [doi]
• High-Dimensional Similarity Search with Quantum-Assisted Variational AutoencoderNicholas Gao, Max Wilson 0001, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel. 956-964 [doi]
• Off-policy Bandits with Deficient SupportNoveen Sachdeva, Yi Su, Thorsten Joachims. 965-975 [doi]
• Adaptive Graph Encoder for Attributed Graph EmbeddingGanqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu 0001. 976-985 [doi]
• NetTrans: Neural Cross-Network TransformationSi Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, JieJun Xu. 986-996 [doi]
• Redundancy-Free Computation for Graph Neural NetworksZhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken. 997-1005 [doi]
• Improving Conversational Recommender Systems via Knowledge Graph based Semantic FusionKun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu. 1006-1014 [doi]
• Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding WindowsXiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui 0001. 1015-1025 [doi]
• STEAM: Self-Supervised Taxonomy Expansion with Mini-PathsYue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang. 1026-1035 [doi]
• Probabilistic Metric Learning with Adaptive Margin for Top-K RecommendationChen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates. 1036-1044 [doi]
• Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-MeanDu Su, Hieu Tri Huynh, Ziao Chen, Yi Lu, Wenmiao Lu. 1045-1053 [doi]
• BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant SupervisionChen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang. 1054-1064 [doi]
• Graph Structural-topic Neural NetworkQingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin. 1065-1073 [doi]
• Correlation Networks for Extreme Multi-label Text ClassificationGuangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang. 1074-1082 [doi]
• Predicting Temporal Sets with Deep Neural NetworksLe Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong 0001, Weifeng Lv. 1083-1091 [doi]
• FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web DocumentsBill Yuchen Lin, Ying Sheng 0002, Nguyen Vo, Sandeep Tata. 1092-1102 [doi]
• SEAL: Learning Heuristics for Community Detection with Generative Adversarial NetworksYao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu. 1103-1113 [doi]
• Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves RobustnessMakoto Imamura, Takaaki Nakamura, Eamonn J. Keogh. 1114-1122 [doi]
• Retrospective Loss: Looking Back to Improve Training of Deep Neural NetworksSurgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian. 1123-1131 [doi]
• Average Sensitivity of Spectral ClusteringPan Peng 0001, Yuichi Yoshida. 1132-1140 [doi]
• Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative ModelWanli Shi, Victor S. Sheng, Xiang Li, Bin Gu. 1141-1149 [doi]
• GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingJiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang. 1150-1160 [doi]
• HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective ClassificationZhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi. 1161-1171 [doi]
• Handling Information Loss of Graph Neural Networks for Session-based RecommendationTianwen Chen, Raymond Chi-Wing Wong. 1172-1180 [doi]
• Ultrafast Local Outlier Detection from a Data Stream with Stationary Region SkippingSusik Yoon, Jae-Gil Lee 0001, Byung Suk Lee. 1181-1191 [doi]
• LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingYiheng Xu, Minghao Li, Lei Cui 0001, Shaohan Huang, Furu Wei, Ming Zhou 0001. 1192-1200 [doi]
• Block Model Guided Unsupervised Feature SelectionZilong Bai, Hoa Nguyen, Ian Davidson. 1201-1211 [doi]
• Data Compression as a Comprehensive Framework for Graph Drawing and Representation LearningClaudia Plant, Sonja Biedermann, Christian Böhm. 1212-1222 [doi]
• Joint Policy-Value Learning for RecommendationOlivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire. 1223-1233 [doi]
• FedFast: Going Beyond Average for Faster Training of Federated Recommender SystemsKhalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor. 1234-1242 [doi]
• AM-GCN: Adaptive Multi-channel Graph Convolutional NetworksXiao Wang 0017, Meiqi Zhu, Deyu Bo, Peng Cui 0001, Chuan Shi, Jian Pei. 1243-1253 [doi]
• Discovering Approximate Functional Dependencies using Smoothed Mutual InformationFrédéric Pennerath, Panagiotis Mandros, Jilles Vreeken. 1254-1264 [doi]
• Competitive Analysis for Points of InterestShuangli LI, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong. 1265-1274 [doi]
• HOPS: Probabilistic Subtree Mining for Small and Large GraphsPascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel. 1275-1284 [doi]
• The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual SolverAnton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle Gong, Natarajan Chandrashekar, Timothy A. Mann. 1285-1294 [doi]
• HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with IncompletenessJiayi Chen, Aidong Zhang. 1295-1305 [doi]
• ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature IdentificationHuimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo. 1306-1315 [doi]
• A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural NetworkTianyu Kang, Ping Chen, John Quackenbush, Wei Ding 0003. 1316-1324 [doi]
• InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a NonlinearitySudhanshu Chanpuriya, Cameron Musco. 1325-1333 [doi]
• xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision AnalysisMenghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo. 1334-1343 [doi]
• Catalysis Clustering with GAN by Incorporating Domain KnowledgeOlga Andreeva, Wei Li, Wei Ding 0003, Marieke L. Kuijjer, John Quackenbush, Ping Chen 0001. 1344-1352 [doi]
• Prediction and Profiling of Audience Competition for Online Television SeriesPeng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang. 1353-1361 [doi]
• Multi-Class Data Description for Out-of-distribution DetectionDongha Lee, Sehun Yu, Hwanjo Yu. 1362-1370 [doi]
• In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering ConstraintsDomenico Mandaglio, Andrea Tagarelli, Francesco Gullo. 1371-1381 [doi]
• Recurrent Halting Chain for Early Multi-label ClassificationThomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke E. Rundensteiner. 1382-1392 [doi]
• Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural NetworksWeilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi. 1393-1403 [doi]
• Discovering Functional Dependencies from Mixed-Type DataPanagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken. 1404-1414 [doi]
• Attackability Characterization of Adversarial Evasion Attack on Discrete DataYutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang 0001. 1415-1425 [doi]
• The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral MomentsShengmin Jin, Reza Zafarani. 1426-1434 [doi]
• Unsupervised Differentiable Multi-aspect Network EmbeddingChanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han 0001. 1435-1445 [doi]
• AutoML Pipeline Selection: Efficiently Navigating the Combinatorial SpaceChengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell. 1446-1456 [doi]
• Towards Physics-informed Deep Learning for Turbulent Flow PredictionRui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu. 1457-1466 [doi]
• Evaluating Fairness Using Permutation TestsCyrus DiCiccio, Sriram Vasudevan, Kinjal Basu 0001, Krishnaram Kenthapadi, Deepak Agarwal. 1467-1477 [doi]
• Leveraging Model Inherent Variable Importance for Stable Online Feature SelectionJohannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci. 1478-1502 [doi]
• Multi-level Graph Convolutional Networks for Cross-platform Anchor Link PredictionHongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen 0005, Bogdan Gabrys, Katarzyna Musial. 1503-1511 [doi]
• Evaluating Conversational Recommender Systems via User SimulationShuo Zhang 0006, Krisztian Balog. 1512-1520 [doi]
• Measuring Model Complexity of Neural Networks with Curve Activation FunctionsXia Hu, Weiqing Liu, Jiang Bian 0002, Jian Pei. 1521-1531 [doi]
• Diverse Rule SetsGuangyi Zhang, Aristides Gionis. 1532-1541 [doi]
• Vamsa: Automated Provenance Tracking in Data Science ScriptsMohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer. 1542-1551 [doi]
• Deep State-Space Generative Model For Correlated Time-to-Event PredictionsYuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui. 1552-1562 [doi]
• Meta-learning on Heterogeneous Information Networks for Cold-start RecommendationYuanfu Lu, Yuan Fang 0001, Chuan Shi. 1563-1573 [doi]
• WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data StreamsJizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang 0003, Bin Cui 0001, Yafei Dai, Gong Zhang. 1574-1584 [doi]
• Dynamic Knowledge Graph based Multi-Event ForecastingSonggaojun Deng, Huzefa Rangwala, Yue Ning. 1585-1595 [doi]
• A Geometric Approach to Predicting Bounds of Downstream Model PerformanceBrian J. Goode, Debanjan Datta. 1596-1604 [doi]
• Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue SystemsZhenxin Fu, Shaobo Cui, Mingyue Shang, Feng Ji, Dongyan Zhao 0001, Haiqing Chen, Rui Yan 0001. 1605-1613 [doi]
• HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care UnitsShenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov. 1614-1624 [doi]
• LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing ValuesKejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun. 1625-1635 [doi]
• RECORD: Resource Constrained Semi-Supervised Learning under Distribution ShiftLan-Zhe Guo, Zhi Zhou, Yu-Feng Li. 1636-1644 [doi]
• Statistically Significant Pattern Mining with Ordinal UtilityThien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. 1645-1655 [doi]
• Certifiable Robustness of Graph Convolutional Networks under Structure PerturbationsDaniel Zügner, Stephan Günnemann. 1656-1665 [doi]
• Understanding Negative Sampling in Graph Representation LearningZhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang. 1666-1676 [doi]
• Aligning Superhuman AI with Human Behavior: Chess as a Model SystemReid McIlroy-Young, Siddhartha Sen 0001, Jon M. Kleinberg, Ashton Anderson. 1677-1687 [doi]
• Heidegger: Interpretable Temporal Causal DiscoveryMehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester. 1688-1696 [doi]
• Interpretable Deep Graph Generation with Node-edge Co-disentanglementXiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye. 1697-1707 [doi]
• Minimizing Localized Ratio Cut Objectives in HypergraphsNate Veldt, Austin R. Benson, Jon M. Kleinberg. 1708-1718 [doi]
• RECIPTOR: An Effective Pretrained Model for Recipe Representation LearningDiya Li, Mohammed J. Zaki. 1719-1727 [doi]
• Hyperbolic Distance MatricesPuoya Tabaghi, Ivan Dokmanic. 1728-1738 [doi]
• RayS: A Ray Searching Method for Hard-label Adversarial AttackJinghui Chen, Quanquan Gu. 1739-1747 [doi]
• On Sampled Metrics for Item RecommendationWalid Krichene, Steffen Rendle. 1748-1757 [doi]
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• List-wise Fairness Criterion for Point ProcessesJin Shang, Mingxuan Sun, Nina S.-N. Lam. 1948-1958 [doi]
• Neural Subgraph Isomorphism CountingXin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang. 1959-1969 [doi]
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• DeepSinger: Singing Voice Synthesis with Data Mined From the WebYi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu. 1979-1989 [doi]
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• A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural NetworksJianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates. 2030-2039 [doi]
• Learning Based Distributed TrackingHao Wu, Junhao Gan, Rui Zhang. 2040-2050 [doi]
• Tight Sensitivity Bounds For Smaller CoresetsAlaa Maalouf, Adiel Statman, Dan Feldman. 2051-2061 [doi]
• GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph DatabasesZongyue Qin, Yunsheng Bai, Yizhou Sun. 2062-2072 [doi]
• Interactive Path Reasoning on Graph for Conversational RecommendationWenqiang Lei, Gangyi Zhang, Xiangnan He 0001, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua. 2073-2083 [doi]
• Algorithmic Aspects of Temporal BetweennessSebastian Buß, Hendrik Molter, Rolf Niedermeier, Maciej Rymar. 2084-2092 [doi]
• Non-Linear Mining of Social Activities in Tensor StreamsKoki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai. 2093-2102 [doi]
• DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions FilteringYuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach. 2103-2113 [doi]
• On Sampling Top-K Recommendation EvaluationDong Li, Ruoming Jin, Jing Gao, Zhi Liu. 2114-2124 [doi]
• Algorithmic Decision Making with Conditional FairnessRenzhe Xu, Peng Cui 0001, Kun Kuang, Bo Li 0064, Linjun Zhou, Zheyan Shen, Wei Cui. 2125-2135 [doi]
• Semi-supervised Collaborative Filtering by Text-enhanced Domain AdaptationWenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin. 2136-2144 [doi]
• Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FACYuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota. 2145-2153 [doi]
• Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear InterpolationVladislav Polianskii, Florian T. Pokorny. 2154-2164 [doi]
• MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern MiningLeonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato. 2165-2174 [doi]
• REA: Robust Cross-lingual Entity Alignment Between Knowledge GraphsShichao Pei, Lu Yu 0006, Guoxian Yu, Xiangliang Zhang 0001. 2175-2184 [doi]
• Stable Learning via Differentiated Variable DecorrelationZheyan Shen, Peng Cui 0001, Jiashuo Liu, Tong Zhang, Bo Li 0064, Zhitang Chen. 2185-2193 [doi]
• Learning Stable Graphs from Multiple Environments with Selection BiasYue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu. 2194-2202 [doi]
• Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex PatternsQingsong Wen, Zhe Zhang, Yan Li, Liang Sun 0001. 2203-2213 [doi]
• CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape AnalysisWenchong He, Zhe Jiang 0001, Chengming Zhang, Arpan Man Sainju. 2214-2224 [doi]
• Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration DataFengli Xu, Yong Li 0008, Shusheng Xu. 2225-2233 [doi]
• Octet: Online Catalog Taxonomy Enrichment with Self-SupervisionYuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han 0001. 2247-2257 [doi]
• TIMME: Twitter Ideology-detection via Multi-task Multi-relational EmbeddingZhiping Xiao 0001, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun. 2258-2268 [doi]
• Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social AppsXianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang. 2269-2279 [doi]
• Sub-Matrix Factorization for Real-Time Vote PredictionAlexander Immer, Victor Kristof, Matthias Grossglauser, Patrick Thiran. 2280-2290 [doi]
• Temporal-Contextual Recommendation in Real-TimeYifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding. 2291-2299 [doi]
• OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the ArenaLinxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui. 2300-2310 [doi]
• PinnerSage: Multi-Modal User Embedding Framework for Recommendations at PinterestAditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec. 2311-2320 [doi]
• Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing EngineHao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong. 2321-2329 [doi]
• Context-Aware Attentive Knowledge TracingAritra Ghosh 0001, Neil T. Heffernan, Andrew S. Lan. 2330-2339 [doi]
• Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationEason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric. 2340-2348 [doi]
• M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender SystemsMenghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu. 2349-2358 [doi]
• Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case StudiesZhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang. 2359-2367 [doi]
• Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing EconomyTeng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei. 2368-2377 [doi]
• Cellular Network Radio Propagation Modeling with Deep Convolutional Neural NetworksXin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren 0013, Lizhou Zhou, Xin Chen. 2378-2386 [doi]
• Neural Input Search for Large Scale Recommendation ModelsManas R. Joglekar, Cong Li, Mei Chen, Taibai Xu, Xiaoming Wang, Jay K. Adams, Pranav Khaitan, Jiahui Liu, Quoc V. Le. 2387-2397 [doi]
• Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A Simple Method to Identify Important Spectral Features of EEG in Deep Learning ModelsDavid O. Nahmias, Kimberly L. Kontson. 2398-2406 [doi]
• Building Continuous Integration Services for Machine LearningBojan Karlas, Matteo Interlandi, Cédric Renggli, Wentao Wu 0001, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer. 2407-2415 [doi]
• Learning to Cluster Documents into Workspaces Using Large Scale Activity LogsWeize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso. 2416-2424 [doi]
• What is that Building?: An End-to-end System for Building Recognition from Streetside ImagesChiqun Zhang, Dragomir Yankov, Chun-Ting Wu, Simon Shapiro, Jason Hong, Wei Wu. 2425-2433 [doi]
• MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite NetworksCarl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han 0001, Charles Rosenberg, Jure Leskovec. 2434-2443 [doi]
• HetETA: Heterogeneous Information Network Embedding for Estimating Time of ArrivalHuiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kung Fu, Zheng Wang, Xiaohu Qie, Jieping Ye. 2444-2454 [doi]
• Hubble: An Industrial System for Audience Expansion in Mobile MarketingChenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu 0001, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi 0001. 2455-2463 [doi]
• Scaling Graph Neural Networks with Approximate PageRankAleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann. 2464-2473 [doi]
• Combo-Attention Network for Baidu Video AdvertisingTan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li 0001. 2474-2482 [doi]
• Federated Doubly Stochastic Kernel Learning for Vertically Partitioned DataBin Gu, Zhiyuan Dang, Xiang Li, Heng Huang. 2483-2493 [doi]
• To Tune or Not to Tune?: In Search of Optimal Configurations for Data AnalyticsAyat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper. 2494-2504 [doi]
• Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised LearningJing Lei, Nasrin Akhter, Wanli Qiao, Amarda Shehu. 2505-2513 [doi]
• Map Generation from Large Scale Incomplete and Inaccurate Data LabelsRui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung 0001, Siyuan Lu. 2514-2522 [doi]
• Grale: Designing Networks for Graph LearningJonathan Halcrow, Alexandru Mosoi, Sam Ruth, Bryan Perozzi. 2523-2532 [doi]
• Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled DataYaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao. 2533-2541 [doi]
• CLARA: Confidence of Labels and RatersViet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris. 2542-2552 [doi]
• Embedding-based Retrieval in Facebook SearchJui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang. 2553-2561 [doi]
• Lumos: A Library for Diagnosing Metric Regressions in Web-Scale ApplicationsJamie Pool, Ebrahim Beyrami, Vishak Gopal, Ashkan Aazami, Jayant Gupchup, Jeff Rowland, Binlong Li, Pritesh Kanani, Ross Cutler, Johannes Gehrke. 2562-2570 [doi]
• Order Fulfillment Cycle Time Estimation for On-Demand Food DeliveryLin Zhu, Wei Yu, Kairong Zhou, Xing Wang, Wenxing Feng, Pengyu Wang 0005, Ning Chen, Pei Lee. 2571-2580 [doi]
• Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User BehaviorsDaheng Wang, Meng Jiang 0001, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla. 2581-2589 [doi]
• Privileged Features Distillation at Taobao RecommendationsChen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou. 2590-2598 [doi]
• Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical FactsHongwei Li 0002, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo. 2599-2607 [doi]
• GrokNet: Unified Computer Vision Model Trunk and Embeddings For CommerceSean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk. 2608-2616 [doi]
• Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef MapsAta Akbari Asanjan, Kamalika Das, Alan Li, Ved Chirayath, Juan Torres-Perez, Soroosh Sorooshian. 2617-2624 [doi]
• Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized ExperimentsZenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong. 2625-2635 [doi]
• AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate PredictionBin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang 0001, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu 0001. 2636-2645 [doi]
• City Metro Network Expansion with Reinforcement LearningYu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An. 2646-2656 [doi]
• Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study)Sharanya Eswaran, Mridul Sachdeva, Vikram Vimal, Deepanshi Seth, Suhaas Kalpam, Sanjay Agarwal, Tridib Mukherjee, Samrat Dattagupta. 2657-2665 [doi]
• Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation CascadesFrancesco Ducci, Mathias Kraus, Stefan Feuerriegel. 2666-2676 [doi]
• Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu MapsJizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Ying Li. 2677-2685 [doi]
• Category-Specific CNN for Visual-aware CTR Prediction at JD.comHu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan. 2686-2696 [doi]
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• Faster Secure Data Mining via Distributed Homomorphic EncryptionJunyi Li, Heng Huang. 2706-2714 [doi]
• Contagious Chain Risk Rating for Networked-guarantee LoansDawei Cheng, Zhibin Niu, Yiyi Zhang. 2715-2723 [doi]
• AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of TypesXin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han 0001. 2724-2734 [doi]
• Personalized Image Retrieval with Sparse Graph Representation LearningXiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar. 2735-2743 [doi]
• Comprehensive Information Integration Modeling Framework for Video TitlingShengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu. 2744-2754 [doi]
• Acoustic Measures for Real-Time Voice CoachingYing Li, Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar. 2755-2763 [doi]
• Geodemographic Influence MaximizationKaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong. 2764-2774 [doi]
• A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay ScenarioMonidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo. 2775-2783 [doi]
• Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization PerspectiveYifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li. 2784-2792 [doi]
• Domain Specific Knowledge Graphs as a Service to the Public: Powering Social-Impact Funding in the USYing Li, Vitalii Zakhozhyi, Daniel Zhu, Luis J. Salazar. 2793-2801 [doi]
• LRSpeech: Extremely Low-Resource Speech Synthesis and RecognitionJin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu. 2802-2812 [doi]
• Doing in One Go: Delivery Time Inference Based on Couriers' TrajectoriesSijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao 0003, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng. 2813-2821 [doi]
• Improving Deep Learning for Airbnb SearchMalay Haldar, Prashant Ramanathan, Tyler Sax, Mustafa Abdool, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Bradley C. Turnbull, Junshuo Liao. 2822-2830 [doi]
• General-Purpose User Embeddings based on Mobile App UsageJunqi Zhang, Bing Bai, Ye-Lin, Jian Liang, Kun Bai, Fei Wang. 2831-2840 [doi]
• Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across CitiesTakahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri. 2841-2851 [doi]
• Debiasing Grid-based Product Search in E-commerceRuocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu 0001. 2852-2860 [doi]
• Forecasting the Evolution of Hydropower GenerationFan Zhou 0002, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu. 2861-2870 [doi]
• Salience and Market-aware Skill Extraction for Job TargetingBaoxu Shi, Jaewon Yang, Feng Guo, Qi He. 2871-2879 [doi]
• DATE: Dual Attentive Tree-aware Embedding for Customs Fraud DetectionSundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha. 2880-2890 [doi]
• User Sentiment as a Success Metric: Persistent Biases Under Full RandomizationErcan Yildiz, Joshua Safyan, Marc Harper. 2891-2899 [doi]
• Improving Recommendation Quality in Google DriveSuming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso. 2900-2908 [doi]
• Large-Scale Training System for 100-Million Classification at AlibabaLiuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin. 2909-2930 [doi]
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• Balanced Order Batching with Task-Oriented Graph ClusteringLu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu. 3044-3053 [doi]
• Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning ApproachLu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu. 3054-3063 [doi]
• Meta-Learning for Query Conceptualization at Web ScaleFred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long. 3064-3073 [doi]
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• Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and FusionYumin Liu, Auroop R. Ganguly, Jennifer G. Dy. 3145-3153 [doi]
• Cracking the Black Box: Distilling Deep Sports AnalyticsXiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu. 3154-3162 [doi]
• Taming Pretrained Transformers for Extreme Multi-label Text ClassificationWei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon. 3163-3171 [doi]
• Prediction of Hourly Earnings and Completion Time on a Crowdsourcing PlatformAnna Lioznova, Alexey Drutsa, Vladimir Kukushkin, Anastasia A. Bezzubtseva. 3172-3182 [doi]
• SimClusters: Community-Based Representations for Heterogeneous Recommendations at TwitterVenu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin. 3183-3193 [doi]
• Time-Aware User Embeddings as a ServiceMartin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic. 3194-3202 [doi]
• Shop The Look: Building a Large Scale Visual Shopping System at PinterestRaymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai. 3203-3212 [doi]
• Dynamic Heterogeneous Graph Neural Network for Real-time Event PredictionWenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye. 3213-3223 [doi]
• Bandit based Optimization of Multiple Objectives on a Music Streaming PlatformRishabh Mehrotra, Niannan Xue, Mounia Lalmas. 3224-3233 [doi]
• Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite ImageryKrishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai. 3234-3242 [doi]
• BusTr: Predicting Bus Travel Times from Real-Time TrafficRichard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu. 3243-3251 [doi]
• Characterizing and Learning Representation on Customer Contact Journeys in Cellular ServicesShuai Zhao, Wen-Ling Hsu, George Ma, Tan Xu, Guy Jacobson, Raif Rustamov. 3252-3260 [doi]
• CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep LearningXin Huang, Jangsoo Lee, Young-Woo Kwon, Chul-Ho Lee. 3261-3271 [doi]
• An Empirical Analysis of Backward Compatibility in Machine Learning SystemsMegha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz. 3272-3280 [doi]
• DeepTriage: Automated Transfer Assistance for Incidents in Cloud ServicesPhuong Pham, Vivek Jain, Lukas Dauterman, Justin Ormont, Navendu Jain. 3281-3289 [doi]
• An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map ImagesZekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock. 3290-3298 [doi]
• Bootstrapping Complete The Look at PinterestEileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu. 3299-3307 [doi]
• Explainable Classification of Brain Networks via Contrast SubgraphsTommaso Lanciano, Francesco Bonchi, Aristides Gionis. 3308-3318 [doi]
• Jointly Learning to Recommend and AdvertiseXiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang. 3319-3327 [doi]
• Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry FarmsAlireza Abdoli, Sara Alaee, Shima Imani, Amy C. Murillo, Alec C. Gerry, Leslie Hickle, Eamonn J. Keogh. 3328-3336 [doi]
• CompactETA: A Fast Inference System for Travel Time PredictionKun Fu, Fanlin Meng, Jieping Ye, Zheng Wang. 3337-3345 [doi]
• Intelligent Exploration for User Interface Modules of Mobile App with Collective LearningJingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzheng Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong. 3346-3355 [doi]
• Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online RecommendationsJixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo. 3356-3365 [doi]
• Hypergraph Convolutional Recurrent Neural NetworkJaehyuk Yi, Jinkyoo Park. 3366-3376 [doi]
• Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate TimeChe Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye. 3377-3385 [doi]
• Ads Allocation in Feed via Constrained OptimizationJinyun Yan, Zhiyuan Xu, Birjodh Tiwana, Shaunak Chatterjee. 3386-3394 [doi]
• USAD: UnSupervised Anomaly Detection on Multivariate Time SeriesJulien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga. 3395-3404 [doi]
• A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-CommerceXichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen. 3405-3415 [doi]
• Learning with Limited Labels via Momentum Damped & Differentially Weighted OptimizationRishabh Mehrotra, Ashish Gupta. 3416-3425 [doi]
• Learning to Simulate Human MobilityJie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li. 3426-3433 [doi]
• Data-driven Simulation and Optimization for Covid-19 Exit StrategiesSalah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon. 3434-3442 [doi]
• Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility DataJizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun, Ying Li. 3443-3450 [doi]
• Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious DiseasesShaon Bhatta Shuvo, Bonaventure C. Molokwu, Ziad Kobti. 3451-3457 [doi]
• Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQsClara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain. 3458-3465 [doi]
• Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South KoreaMinseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee 0001. 3466-3473 [doi]
• Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound DataChloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo. 3474-3484 [doi]
• Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility DataQianyue Hao, Lin Chen 0002, Fengli Xu, Yong Li. 3485-3492 [doi]
• Fighting a Pandemic: Convergence of Expertise, Data Science and PolicyTina Eliassi-Rad, Nitesh Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu. 3493-3494 [doi]
• From Zero to AI Hero with Automated Machine LearningAniththa Umamahesan, Deepak Mukunthu Iyappan Babu. 3495 [doi]
• Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML ServicesWenming Ye, Rachel Hu, Miro Enev. 3496 [doi]
• Building Forecasting Solutions Using Open-Source and Azure Machine LearningChenhui Hu, Vanja Paunic. 3497-3498 [doi]
• How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification ModelNatalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca. 3499-3500 [doi]
• Neural Structured Learning: Training Neural Networks with Structured SignalsArjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu. 3501-3502 [doi]
• Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDSBartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen. 3503-3504 [doi]
• DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion ParametersJeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He. 3505-3506 [doi]
• Robust Deep Learning Methods for Anomaly DetectionRaghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla. 3507-3508 [doi]
• Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image DataJonas Mueller, Xingjian Shi, Alexander J. Smola. 3509-3510 [doi]
• Intelligible and Explainable Machine Learning: Best Practices and Practical ChallengesRich Caruana, Scott Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins. 3511-3512 [doi]
• Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on TutorialPedro Saleiro, Kit T. Rodolfa, Rayid Ghani. 3513-3514 [doi]
• Deep Learning for Search and Recommender Systems in PracticeZhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou. 3515-3516 [doi]
• Computer Vision: Deep Dive into Object Segmentation ApproachesYuanbo Wang, Osama Sakhi, Ala Eddine Ayadi, Matthew S. Hagen, Estelle Afshar. 3517-3518 [doi]
• In Search for a Cure: Recommendation With Knowledge Graph on CORD-19Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou, Tao Wu. 3519-3520 [doi]
• Scalable Graph Neural Networks with Deep Graph LibraryDa Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis. 3521-3522 [doi]
• Introduction to Computer Vision and Real Time Deep Learning-based Object DetectionJames G. Shanahan, Liang Dai. 3523-3524 [doi]
• Building Recommender Systems with PyTorchDheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami. 3525-3526 [doi]
• Causal Inference Meets Machine LearningPeng Cui, Zheyan Shen, Sheng Li 0001, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao. 3527-3528 [doi]
• Fairness in Machine Learning for HealthcareMuhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai. 3529-3530 [doi]
• Learning from All Types of Experiences: A Unifying Machine Learning PerspectiveZhiting Hu, Eric P. Xing. 3531-3532 [doi]
• Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSysRishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon. 3533-3534 [doi]
• Physics Inspired Models in Artificial IntelligenceMuhammad Aurangzeb Ahmad, Sener Özönder. 3535-3536 [doi]
• Scientific Text Mining and Knowledge GraphsMeng Jiang 0001, Jingbo Shang. 3537-3538 [doi]
• Learning with Small DataHuaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li. 3539-3540 [doi]
• Adversarial Attacks and Defenses: Frontiers, Advances and PracticeHan Xu, Yaxin Li, Wei Jin, Jiliang Tang. 3541-3542 [doi]
• Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the WebXin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar. 3543-3544 [doi]
• Recent Advances on Graph Analytics and Its Applications in HealthcareFei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang. 3545-3546 [doi]
• Tutorial on Human-Centered Explainability for HealthcarePrithwish Chakraborty, Bum chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, Kush R. Varshney. 3547-3548 [doi]
• Recent Advances in Multimodal Educational Data Mining in K-12 EducationZitao Liu, Songfan Yang, Jiliang Tang, Neil Heffernan, Rose Luckin. 3549-3550 [doi]
• Tutorial on Online User Engagement: Metrics and OptimizationLiangjie Hong, Mounia Lalmas. 3551-3552 [doi]
• Data Pricing - From Economics to Data ScienceJian Pei. 3553-3554 [doi]
• Deep Graph Learning: Foundations, Advances and ApplicationsYu Rong, Tingyang Xu, JunZhou Huang, Wenbing Huang, Hong Cheng, Yao Ma 0001, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma. 3555-3556 [doi]
• Multi-modal Network Representation LearningChuxu Zhang, Meng Jiang 0001, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla. 3557-3558 [doi]
• Data Science for the Real Estate IndustryRon Bekkerman, Vanja Josifovski, Foster J. Provost. 3559-3560 [doi]
• Overview and Importance of Data Quality for Machine Learning TasksAbhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala. 3561-3562 [doi]
• Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series DataJaesik Choi. 3563-3564 [doi]
• Edge AI: Systems Design and ML for IoT Data AnalyticsRadu Marculescu, Diana Marculescu, Ümit Y. Ogras. 3565-3566 [doi]
• Data Sketching for Real Time Analytics: Theory and PracticeDaniel Ting, Jonathan Malkin, Lee Rhodes. 3567-3568 [doi]
• Deep Learning for Anomaly DetectionRuoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang 0008, Bo Long. 3569-3570 [doi]
• Deep Learning for Industrial AI: Challenges, New Methods and Best PracticesChetan Gupta 0001, Ahmed Farahat. 3571-3572 [doi]
• Embedding-Driven Multi-Dimensional Topic Mining and Text AnalysisYu Meng, Jiaxin Huang, Jiawei Han 0001. 3573-3574 [doi]
• Learning by Exploration: New Challenges in Real-World EnvironmentsQingyun Wu, Huazheng Wang, Hongning Wang. 3575-3576 [doi]
• Image and Video Understanding for Recommendation and Spam Detection SystemsAman Gupta, Sirjan Kafle, Di Wen, Dylan Wang, Sumit Srivastava, Suhit Sinha, Nikita Gupta, Bharat Jain, Ananth Sankar, Liang Zhang. 3577-3578 [doi]
• Data-Driven Never-Ending Learning Question Answering SystemsEstevam Hruschka. 3579-3580 [doi]
• How Can Computer Science Education Address InequitiesManuel A. Pérez-Quiñones. 3581 [doi]
• Diversity and Inclusion, a Perspective from a Four Years MSI Faculty MemberEliana Valenzuela Andrade. 3582 [doi]
• CoRE Lab - An Effort to Engage College Hispanic Students in STEMWilson E. Lozano-Rolon. 3583 [doi]
• Support for Diverse StudentsDaniel A. Jiménez. 3584 [doi]
• Broadening Participation in Technology PolicyBrianna B. Posadas. 3585 [doi]
• The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic FairnessMariya I. Vasileva. 3586-3587 [doi]
• Accessible Online Meetings and PresentationsBrianna Blaser. 3588 [doi]
• Perspectives on Broadening Participation in STEM Careers across Academia, Government, and IndustryHasan Jackson. 3589-3590 [doi]
• The Illusion of Inclusion: Large Scale Genomic Data Sovereignty and Indigenous PopulationsKeolu Fox. 3591 [doi]
• Models of Data Governance and Advancing Indigenous Genomic Data SovereigntyKrystal S. Tsosie. 3592 [doi]
• No Computation without Representation: Avoiding Data and Algorithm Biases through DiversityCaitlin Kuhlman, Latifa Jackson, Rumi Chunara. 3593 [doi]
• Mutually Beneficial Collaborations to Broaden Participation of Hispanics in Data SciencePatricia Ordóñez Franco. 3594-3595 [doi]
• Bringing Inclusive Diversity to Data Science: Opportunities and ChallengesHeriberto Acosta Maestre. 3596 [doi]
• The Data Science Mentoring Fire Next Time: Innovative Strategies for Mentoring in Data ScienceLatifa Jackson, Heriberto Acosta Maestre. 3597-3600 [doi]
• Preserving Integrity in Online Social MediaAlon Y. Halevy. 3601 [doi]
• Straddling the Boundary between Contribution and Solution Driven ScienceDaniel Marcu. 3602 [doi]
• Artificial Intelligence for HealthcareDorin Comaniciu. 3603 [doi]
• Using Machine Learning to Detect Cancer EarlyJan Schellenberger. 3604 [doi]
• Build the State-of-the-Art Machine Learning Technology for the Crypto EconomyMichael Li, Catalin Tiseanu, Burkay Gur. 3605 [doi]
• How AI Can Help Build Resiliency for Small Businesses in a Global Economic CrisisNhung Ho. 3606 [doi]
• Toward Responsible AI by Planning to FailSaleema Amershi. 3607 [doi]
• Multimodal Machine Learning for Video and Image AnalysisShalini Ghosh. 3608 [doi]
• Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine LearningTimnit Gebru. 3609 [doi]
• Unleashing the Power of Subjective Data: Managing Experiences as First-Class CitizensWang Chiew Tan. 3610 [doi]
• Innovating with Language AIAshwin Ram. 3611 [doi]
• Data Paucity and Low Resource Scenarios: Challenges and OpportunitiesMona Diab. 3612 [doi]