Abstract is missing.
- Automated Mechanism Design for Strategic Classification: Abstract for KDD'21 Keynote TalkVincent Conitzer. 1 [doi]
- Data Science for Assembly EngineeringSharon C. Glotzer. 2 [doi]
- Safe Learning in RoboticsClaire J. Tomlin. 3 [doi]
- On the Nature of Data ScienceJeffrey D. Ullman. 4 [doi]
- LawyerPAN: A Proficiency Assessment Network for Trial LawyersYanqing An, Qi Liu 0001, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen. 5-13 [doi]
- Fine-Grained System Identification of Nonlinear Neural CircuitsDawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister. 14-24 [doi]
- Why Attentions May Not Be Interpretable?Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang. 25-34 [doi]
- Multi-facet Contextual Bandits: A Neural Network PerspectiveYikun Ban, Jingrui He, Curtiss B. Cook. 35-45 [doi]
- Partial Label Dimensionality Reduction via Confidence-Based Dependence MaximizationWei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang. 46-54 [doi]
- Uplift Modeling with Generalization GuaranteesArtem Betlei, Eustache Diemert, Massih-Reza Amini. 55-65 [doi]
- Fast One-class Classification using Class Boundary-preserving Random ProjectionsArindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur. 66-74 [doi]
- Causal Models for Real Time Bidding with Repeated User InteractionsMartin Bompaire, Alexandre Gilotte, Benjamin Heymann. 75-85 [doi]
- Aggregating Complex Annotations via Merging and MatchingAlexander Braylan, Matthew Lease. 86-94 [doi]
- How Interpretable and Trustworthy are GAMs?Chun-Hao Chang, Sarah Tan, Benjaminn Lengerich, Anna Goldenberg, Rich Caruana. 95-105 [doi]
- Graph Deep Factors for Forecasting with Applications to Cloud Resource AllocationHongjie Chen, Ryan A. Rossi, Kanak Mahadik, SungChul Kim, Hoda Eldardiry. 106-116 [doi]
- On Breaking Truss-Based CommunitiesHuiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Solon P. Pissis, Michelle Sweering. 117-126 [doi]
- PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference AttacksJunjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi. 127-137 [doi]
- Learning Elastic Embeddings for Customizing On-Device RecommendersTong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang. 138-147 [doi]
- Causal Understanding of Fake News Dissemination on Social MediaLu Cheng, Ruocheng Guo, Kai Shu, Huan Liu 0001. 148-157 [doi]
- Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding PrototypesSohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi. 158-166 [doi]
- Improve Learning from Crowds via Generative AugmentationZhendong Chu, Hongning Wang. 167-175 [doi]
- Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational DataZhixuan Chu, Stephen L. Rathbun, Sheng Li 0001. 176-184 [doi]
- Graph Similarity Description: How Are These Graphs Similar?Corinna Coupette, Jilles Vreeken. 185-195 [doi]
- Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher AveragesCyrus Cousins, Chloe Wohlgemuth, Matteo Riondato. 196-206 [doi]
- Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm UtilitySen Cui, Weishen Pan, Changshui Zhang, Fei Wang. 207-217 [doi]
- Labeled Data Generation with Inexact SupervisionEnyan Dai, Kai Shu, Yiwei Sun, Suhang Wang. 218-226 [doi]
- NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled GraphsEnyan Dai, Charu Aggarwal 0001, Suhang Wang. 227-236 [doi]
- PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with PhysicsArka Daw, M. Maruf, Anuj Karpatne. 237-247 [doi]
- MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series ClassificationAngus Dempster, Daniel F. Schmidt, Geoffrey I. Webb. 248-257 [doi]
- Mutual Information Preserving Back-propagation: Learn to Invert for Faithful AttributionHuiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu. 258-268 [doi]
- ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series ForecastingJinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang. 269-278 [doi]
- DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural NetworksYuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang. 279-288 [doi]
- Global Neighbor Sampling for Mixed CPU-GPU Training on Giant GraphsJialin Dong, Da Zheng, Lin F. Yang, George Karypis. 289-299 [doi]
- Individual Fairness for Graph Neural Networks: A Ranking based ApproachYushun Dong, Jian Kang, Hanghang Tong, Jundong Li. 300-310 [doi]
- Sylvester Tensor Equation for Multi-Way AssociationBoxin Du, Lihui Liu, Hanghang Tong. 311-321 [doi]
- TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular DataLun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang. 322-331 [doi]
- When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation MethodsLukas Faber, Amin K. Moghaddam, Roger Wattenhofer. 332-341 [doi]
- Large-Scale Subspace Clustering via k-FactorizationJicong Fan. 342-352 [doi]
- Gaussian Process with Graph Convolutional Kernel for Relational LearningJinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang. 353-363 [doi]
- Spatial-Temporal Graph ODE Networks for Traffic Flow ForecastingZheng Fang, Qingqing Long, Guojie Song, Kunqing Xie. 364-373 [doi]
- Multiple-Instance Learning from Similar and Dissimilar BagsLei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An 0001, Gang Niu 0001. 374-382 [doi]
- Differentiable Pattern Set MiningJonas Fischer, Jilles Vreeken. 383-392 [doi]
- ProgRPGAN: Progressive GAN for Route PlanningTao-Yang Fu, Wang-Chien Lee. 393-403 [doi]
- Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug DiscoveryTianfan Fu, Cao Xiao, Cheng Qian 0001, Lucas M. Glass, Jimeng Sun. 404-414 [doi]
- Efficient Data-specific Model Search for Collaborative FilteringChen Gao, Quanming Yao, Depeng Jin, Yong Li. 415-425 [doi]
- Unsupervised Graph Alignment with Wasserstein Distance DiscriminatorJi Gao, Xiao Huang 0001, Jundong Li. 426-435 [doi]
- Maxmin-Fair Ranking: Individual Fairness under Group-Fairness ConstraintsDavid García-Soriano, Francesco Bonchi. 436-446 [doi]
- Boosted Second Price Auctions: Revenue Optimization for Heterogeneous BiddersNegin Golrezaei, Max Lin, Vahab S. Mirrokni, Hamid Nazerzadeh. 447-457 [doi]
- Meaning Error Rate: ASR domain-specific metric frameworkLudmila Gordeeva, Vasily Ershov, Oleg Gulyaev, Igor Kuralenok. 458-466 [doi]
- Towards Computing a Near-Maximum Weighted Independent Set on Massive GraphsJiewei Gu, Weiguo Zheng, Yuzheng Cai, Peng Peng. 467-477 [doi]
- UCPhrase: Unsupervised Context-aware Quality Phrase TaggingXiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han 0001, Jingbo Shang. 478-486 [doi]
- Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability JudgmentLan-Zhe Guo, Zhi Zhou 0006, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun Li, Yu-Feng Li. 487-495 [doi]
- Dual Graph enhanced Embedding Neural Network for CTR PredictionWei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He. 496-504 [doi]
- Deep Generative Models for Spatial NetworksXiaojie Guo, Yuanqi Du, Liang Zhao. 505-515 [doi]
- Subset Node Representation Learning over Large Dynamic GraphsXingzhi Guo, Baojian Zhou, Steven Skiena. 516-526 [doi]
- Generalized Zero-Shot Extreme Multi-label LearningNilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma. 527-535 [doi]
- Graph Summarization with Controlled Utility LossMahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan 0001, Alex Thomo. 536-546 [doi]
- Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed ForecastingLiangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong 0001. 547-555 [doi]
- A Graph-based Approach for Trajectory Similarity Computation in Spatial NetworksPeng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang 0001. 556-564 [doi]
- Adaptive Transfer Learning on Graph Neural NetworksXueting Han, Zhenhuan Huang, Bang An, Jing Bai. 565-574 [doi]
- PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification ModelsBing He, Mustaque Ahamad, Srijan Kumar. 575-584 [doi]
- Pruning-Aware Merging for Efficient Multitask InferenceXiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele. 585-595 [doi]
- DARING: Differentiable Causal Discovery with Residual IndependenceYue He, Peng Cui 0001, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang. 596-605 [doi]
- PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse DesignAmin Heyrani Nobari, Wei Chen, Faez Ahmed. 606-616 [doi]
- Federated Adversarial Debiasing for Fair and Transferable RepresentationsJunyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou. 617-627 [doi]
- Uncertainty-Aware Reliable Text ClassificationYibo Hu, Latifur Khan. 628-636 [doi]
- HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning ProblemYun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha. 637-645 [doi]
- Representation Learning on Knowledge Graphs for Node Importance EstimationHan Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong 0001. 646-655 [doi]
- Metric Learning via Penalized OptimizationHao Huang 0001, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu. 656-664 [doi]
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender SystemsTinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang 0001. 665-674 [doi]
- Scaling Up Graph Neural Networks Via Graph CoarseningZengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou. 675-684 [doi]
- A Broader Picture of Random-walk Based Graph EmbeddingZexi Huang, Arlei Silva, Ambuj K. Singh. 685-695 [doi]
- DisenQNet: Disentangled Representation Learning for Educational QuestionsZhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su 0002, Wei Tong. 696-704 [doi]
- Coupled Graph ODE for Learning Interacting System DynamicsZijie Huang 0002, Yizhou Sun, Wei Wang 0010. 705-715 [doi]
- TrajNet: A Trajectory-Based Deep Learning Model for Traffic PredictionBo Hui, Da Yan 0001, Haiquan Chen, Wei-Shinn Ku. 716-724 [doi]
- Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range QueriesJun-Gi Jang, U Kang. 725-735 [doi]
- ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential EquationsSheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park. 736-745 [doi]
- Cross-Network Learning with Partially Aligned Graph Convolutional NetworksMeng Jiang. 746-755 [doi]
- Pre-training on Large-Scale Heterogeneous GraphXunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang. 756-766 [doi]
- Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration ErrorsZhe Jiang 0001, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan 0001. 767-775 [doi]
- Towards a Better Understanding of Linear Models for RecommendationRuoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou. 776-785 [doi]
- Learning to Walk across Time for Interpretable Temporal Knowledge Graph CompletionJaehun Jung, Jinhong Jung, U. Kang. 786-795 [doi]
- A Hyper-surface Arrangement Model of Ranking DistributionsShizuo Kaji, Akira Horiguchi, Takuro Abe, Yohsuke Watanabe. 796-804 [doi]
- Preference Amplification in Recommender SystemsDimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg. 805-815 [doi]
- Topology Distillation for Recommender SystemSeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu. 829-839 [doi]
- Learning to Embed Categorical Features without Embedding Tables for RecommendationWang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi. 840-850 [doi]
- Joint Graph Embedding and Alignment with Spectral PivotParis A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos. 851-859 [doi]
- Auditing for Diversity Using Representative ExamplesVijay Keswani, L. Elisa Celis. 860-870 [doi]
- Q-Learning Lagrange Policies for Multi-Action Restless BanditsJackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe. 871-881 [doi]
- A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved HeuristicsNicolas Klodt, Lars Seifert, Arthur Zahn, Katrin Casel, Davis Issac, Tobias Friedrich 0001. 882-891 [doi]
- Fast Rotation Kernel Density Estimation over Data StreamsRunze Lei, Pinghui Wang, Rundong Li, Peng Jia 0004, Junzhou Zhao, Xiaohong Guan, Chao Deng. 892-902 [doi]
- Dip-based Deep Embedded Clustering with k-EstimationCollin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant. 903-913 [doi]
- Large-Scale Data-Driven Airline Market Influence MaximizationDuanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee 0001, Noseong Park. 914-924 [doi]
- Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete ObservabilityHaoran Li, Yang Weng. 925-933 [doi]
- Shapley Counterfactual Credits for Multi-Agent Reinforcement LearningJiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao. 934-942 [doi]
- A Difficulty-Aware Framework for Churn Prediction and Intervention in GamesJiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu 0001, Shaoping Ma. 943-952 [doi]
- Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on GraphsQimai Li, Xiaotong Zhang 0003, Han Liu 0008, Quanyu Dai, Xiao-Ming Wu. 953-963 [doi]
- An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large GraphsShiju Li, Xin Huang, Chul-Ho Lee. 964-974 [doi]
- Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding AffinityShuangli LI, Jingbo Zhou, Tong Xu 0001, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong 0001. 975-985 [doi]
- Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss FunctionsTianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan. 986-994 [doi]
- FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID DataXin-Chun Li, De-Chuan Zhan. 995-1005 [doi]
- Efficient Collaborative Filtering via Data Augmentation and Step-size OptimizationXuejun Liao, Patrick Koch, Shunping Huang, Yan Xu. 1006-1016 [doi]
- Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal TransportHengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian 0002. 1017-1026 [doi]
- What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural BackdoorsYi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik. 1027-1035 [doi]
- Multi-view Correlation based Black-box Adversarial Attack for 3D Object DetectionBingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang 0008, Weihong Deng. 1036-1044 [doi]
- ControlBurn: Feature Selection by Sparse ForestsBrian Liu, Miaolan Xie, Madeleine Udell. 1045-1054 [doi]
- Reinforced Anchor Knowledge Graph Generation for News Recommendation ReasoningDanyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie 0001. 1055-1065 [doi]
- Signed Graph Neural Network with Latent GroupsHaoxin Liu, Ziwei Zhang, Peng Cui 0001, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu 0001. 1066-1075 [doi]
- NewsEmbed: Modeling News through Pre-trained Document RepresentationsJialu Liu, Tianqi Liu, Cong Yu 0001. 1076-1086 [doi]
- Neural-Answering Logical Queries on Knowledge GraphsLihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong. 1087-1097 [doi]
- Online Additive QuantizationQi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen. 1098-1108 [doi]
- Tail-GNN: Tail-Node Graph Neural NetworksZemin Liu, Trung-Kien Nguyen, Yuan Fang 0001. 1109-1119 [doi]
- Dialogue Based Disease Screening Through Domain Customized Reinforcement LearningZhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang 0001, Gang Hu, Guotong Xie. 1120-1128 [doi]
- HGK-GNN: Heterogeneous Graph Kernel based Graph Neural NetworksQingqing Long, Lingjun Xu, Zheng Fang, Guojie Song. 1129-1138 [doi]
- Leveraging Latent Features for Local ExplanationsRonny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun Chen Tu. 1139-1149 [doi]
- Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networksQingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang. 1150-1160 [doi]
- Graph Adversarial Attack via RewiringYao Ma 0001, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang. 1161-1169 [doi]
- BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble DeploymentMeghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns. 1170-1179 [doi]
- Needle in a Haystack: Label-Efficient Evaluation under Extreme Class ImbalanceNeil G. Marchant, Benjamin I. P. Rubinstein. 1180-1190 [doi]
- Temporal Graph Signal DecompositionMaxwell J. McNeil, Lin Zhang, Petko Bogdanov. 1191-1201 [doi]
- Cross-Node Federated Graph Neural Network for Spatio-Temporal Data ModelingChuizheng Meng, Sirisha Rambhatla, Yan Liu. 1202-1211 [doi]
- MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis ApproachesMike A. Merrill, Ge Zhang, Tim Althoff. 1212-1222 [doi]
- DeGNN: Improving Graph Neural Networks with Graph DecompositionXupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui 0001, Ce Zhang 0001. 1223-1233 [doi]
- Semi-Supervised Deep Learning for Multiplex NetworksAnasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy 0001, Balaraman Ravindran. 1234-1244 [doi]
- Scalable Hierarchical Agglomerative ClusteringNicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu. 1245-1255 [doi]
- An Efficient Framework for Balancing Submodularity and CostSofia Maria Nikolakaki, Alina Ene, Evimaria Terzi. 1256-1266 [doi]
- Filtration Curves for Graph RepresentationLeslie O'Bray, Bastian Rieck, Karsten M. Borgwardt. 1267-1275 [doi]
- Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion ProcessesMaya Okawa, Tomoharu Iwata, Yusuke Tanaka 0002, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima. 1276-1286 [doi]
- Explaining Algorithmic Fairness Through Fairness-Aware Causal Path DecompositionWeishen Pan, Sen Cui, Jiang Bian 0001, Changshui Zhang, Fei Wang 0001. 1287-1297 [doi]
- Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataGuansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao. 1298-1308 [doi]
- Fast and Accurate Partial Fourier Transform for Time Series DataYong-chan Park, Jun-Gi Jang, U Kang. 1309-1318 [doi]
- Faster and Generalized Temporal Triangle Counting, via Degeneracy OrderingNoujan Pashanasangi, C. Seshadhri. 1319-1328 [doi]
- Local Algorithms for Estimating Effective ResistancePan Peng 0001, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci. 1329-1338 [doi]
- Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order StatisticsNinh Pham. 1339-1347 [doi]
- MaNIACS: Approximate Mining of Frequent Subgraph Patterns through SamplingGiulia Preti, Gianmarco De Francisci Morales, Matteo Riondato. 1348-1358 [doi]
- Learning to Recommend Visualizations from DataXin Qian, Ryan A. Rossi, Fan Du, SungChul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan. 1359-1369 [doi]
- Network-Wide Traffic States Imputation Using Self-interested Coalitional LearningHuiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng 0004. 1370-1378 [doi]
- Retrieval & Interaction Machine for Tabular Data PredictionJiarui Qin, Weinan Zhang 0001, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu. 1379-1389 [doi]
- ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph NetworksLiang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin. 1390-1398 [doi]
- Individual Treatment Prescription Effect Estimation in a Low Compliance SettingThibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert. 1399-1409 [doi]
- MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task LearningHuimin Ren, Sijie Ruan, Yanhua Li, Jie Bao 0003, Chuishi Meng, Ruiyuan Li, Yu Zheng 0004. 1410-1419 [doi]
- ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image ClassificationDawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski 0001. 1420-1430 [doi]
- Spectral Clustering of Attributed Multi-relational GraphsYlli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant. 1431-1440 [doi]
- Identifying Coordinated Accounts on Social Media through Hidden Influence and Group BehavioursKarishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu. 1441-1451 [doi]
- Learning Process-consistent Knowledge TracingShuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang 0001. 1452-1460 [doi]
- Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget RegimesSatya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter. 1461-1469 [doi]
- Fruit-fly Inspired Neighborhood Encoding for ClassificationKaushik Sinha, Parikshit Ram. 1470-1480 [doi]
- Deep Clustering based Fair Outlier DetectionHanyu Song, Peizhao Li, Hongfu Liu. 1481-1489 [doi]
- Robust Learning by Self-Transition for Handling Noisy LabelsHwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee 0001. 1490-1500 [doi]
- Triangle-aware Spectral Sparsifiers and Community DetectionKonstantinos Sotiropoulos, Charalampos E. Tsourakakis. 1501-1509 [doi]
- Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic RegressionOlivier Sprangers, Sebastian Schelter, Maarten de Rijke. 1510-1520 [doi]
- Redescription Model MiningFelix I. Stamm, Martin Becker 0003, Markus Strohmaier, Florian Lemmerich. 1521-1529 [doi]
- A Stagewise Hyperparameter Scheduler to Improve GeneralizationJianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang. 1530-1540 [doi]
- Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing PatternsSusheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma. 1541-1551 [doi]
- Norm Adjusted Proximity Graph for Fast Inner Product RetrievalShulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li. 1552-1560 [doi]
- Analysis and Applications of Class-wise Robustness in Adversarial TrainingQi Tian 0001, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang 0001. 1561-1570 [doi]
- Choice Set Confounding in Discrete ChoiceKiran Tomlinson, Johan Ugander, Austin R. Benson. 1571-1581 [doi]
- Learning Interpretable Feature Context Effects in Discrete ChoiceKiran Tomlinson, Austin R. Benson. 1582-1592 [doi]
- Statistical Models Coupling Allows for Complex Local Multivariate Time Series AnalysisVeronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri. 1593-1603 [doi]
- The Generalized Mean Densest Subgraph ProblemNate Veldt, Austin R. Benson, Jon M. Kleinberg. 1604-1614 [doi]
- Environment Agnostic Invariant Risk Minimization for Classification of Sequential DatasetsPraveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian. 1615-1624 [doi]
- Alphacore: Data Depth based Core DecompositionFriedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu. 1625-1633 [doi]
- Multi-Objective Model-based Reinforcement Learning for Infectious Disease ControlRunzhe Wan, Xinyu Zhang, Rui Song. 1634-1644 [doi]
- Certified Robustness of Graph Neural Networks against Adversarial Structural PerturbationBinghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong. 1645-1653 [doi]
- Privacy-Preserving Representation Learning on Graphs: A Mutual Information PerspectiveBinghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li. 1667-1676 [doi]
- JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting FrameworkDing Wang, Pang-Ning Tan. 1677-1685 [doi]
- Approximate Graph PropagationHanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang 0001, Ye Yuan 0001, Xiaoyong Du 0001, Ji-Rong Wen. 1686-1696 [doi]
- Relational Message Passing for Knowledge Graph CompletionHongwei Wang 0004, Hongyu Ren, Jure Leskovec. 1697-1707 [doi]
- Deep Learning Embeddings for Data Series Similarity SearchQitong Wang, Themis Palpanas. 1708-1716 [doi]
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- Maximizing Influence of Leaders in Social NetworksXiaotian Zhou, Zhongzhi Zhang. 2400-2408 [doi]
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- S-LIME: Stabilized-LIME for Model ExplanationZhengze Zhou, Giles Hooker, Fei Wang. 2429-2438 [doi]
- Popularity Bias in Dynamic RecommendationZiwei Zhu, Yun He 0001, Xing Zhao, James Caverlee. 2439-2449 [doi]
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- Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and LocalizationAhmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki. 2485-2494 [doi]
- Counterfactual Graphs for Explainable Classification of Brain NetworksCarlo Abrate, Francesco Bonchi. 2495-2504 [doi]
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- Dynamic Language Models for Continuously Evolving ContentSpurthi Amba Hombaiah, Tao Chen, Mingyang Zhang 0001, Michael Bendersky, Marc Najork. 2514-2524 [doi]
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- Unpaired Generative Molecule-to-Molecule Translation for Lead OptimizationGuy Barshatski, Kira Radinsky. 2554-2564 [doi]
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- GEM: Translation-Free Zero-Shot Global Entity Matcher for Global CatalogsKarim Bouyarmane. 2593-2600 [doi]
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- Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionPan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin. 3172-3180 [doi]
- Embedding-based Product Retrieval in Taobao SearchSen Li, FuYu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma. 3181-3189 [doi]
- Debiasing Learning based Cross-domain RecommendationSiqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen. 3190-3199 [doi]
- An Experimental Study of Quantitative Evaluations on Saliency MethodsXiao-hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen. 3200-3208 [doi]
- OpenBox: A Generalized Black-box Optimization ServiceYang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu 0001, Zhi Yang, Ce Zhang 0001, Bin Cui 0001. 3209-3219 [doi]
- Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal EmbeddingZhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei. 3220-3230 [doi]
- Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity RecognitionShining Liang, Ming Gong, Jian Pei, Linjun Shou, WanLi Zuo, Xianglin Zuo, Daxin Jiang. 3231-3239 [doi]
- Unveiling Fake Accounts at the Time of Registration: An Unsupervised ApproachXiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He. 3240-3250 [doi]
- M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified PretrainingJunyang Lin, Rui Men, an Yang, Chang Zhou, Yichang Zhang, Peng Wang 0028, Jingren Zhou, Jie Tang, Hongxia Yang. 3251-3261 [doi]
- PAM: Understanding Product Images in Cross Product Category Attribute ExtractionRongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong 0001, Xin Luna Dong. 3262-3270 [doi]
- Large-Scale Network Embedding in Apache SparkWenqing Lin. 3271-3279 [doi]
- Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions DetectionCan Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He 0003, Hao Yang. 3280-3288 [doi]
- JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at BaiduHao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong. 3289-3298 [doi]
- Categorization of Financial Transactions in QuickBooksJuan Liu, Lei Pei, Ying Sun, Heather Simpson, Jocelyn Lu, Nhung Ho. 3299-3307 [doi]
- KompaRe: A Knowledge Graph Comparative Reasoning SystemLihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, JieJun Xu, Hanghang Tong. 3308-3318 [doi]
- Trustworthy and Powerful Online Marketplace Experimentation with Budget-split DesignMin Liu, Jialiang Mao, Kang-kang. 3319-3329 [doi]
- Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search FrameworkShuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng. 3343-3353 [doi]
- Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce AdvertisingXiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu. 3354-3364 [doi]
- Pre-trained Language Model for Web-scale Retrieval in Baidu SearchYiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin. 3365-3375 [doi]
- Que2Search: Fast and Accurate Query and Document Understanding for Search at FacebookYiqun Liu 0006, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk. 3376-3384 [doi]
- AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerceXusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang. 3385-3393 [doi]
- What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-DataCharbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn. 3394-3403 [doi]
- VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image SearchShaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko. 3404-3413 [doi]
- Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at BingRajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta. 3414-3422 [doi]
- Diversity driven Query Rewriting in Search AdvertisingAkash Kumar Mohankumar, Nikit Begwani, Amit Singh. 3423-3431 [doi]
- SizeFlags: Reducing Size and Fit Related Returns in Fashion E-CommerceAndrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany. 3432-3440 [doi]
- A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling ProblemFei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He 0001. 3441-3451 [doi]
- AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care UnitsYilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel. 3452-3462 [doi]
- Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free OptimizationValerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau. 3463-3471 [doi]
- User Consumption Intention Prediction in MeituanYukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li. 3472-3482 [doi]
- Bootstrapping Recommendations at Chrome Web StoreZhen Qin 0002, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork. 3483-3491 [doi]
- Lambda Learner: Fast Incremental Learning on Data StreamsRohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar. 3492-3502 [doi]
- RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare RepresentationHouxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu. 3503-3511 [doi]
- A Bayesian Approach to In-Game Win Probability in SoccerPieter Robberechts, Jan Van Haaren, Jesse Davis. 3512-3521 [doi]
- Contextual Bandit Applications in a Customer Support BotSandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen. 3522-3530 [doi]
- Predicting COVID-19 Spread from Large-Scale Mobility DataAmray Schwabe, Joel Persson, Stefan Feuerriegel. 3531-3539 [doi]
- Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep LearningIgnacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel. 3540-3548 [doi]
- Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride HailingDingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang. 3549-3557 [doi]
- Interpretable Drug Response Prediction using a Knowledge-based Neural NetworkOliver Snow, Hossein Sharifi Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester. 3558-3568 [doi]
- Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search QueriesSukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra. 3569-3575 [doi]
- Dynamic Social Media Monitoring for Fast-Evolving Online DiscussionsMaya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar. 3576-3584 [doi]
- MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular GraphMengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou. 3585-3594 [doi]
- A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement ForecastingMaryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav. 3595-3604 [doi]
- Value Function is All You Need: A Unified Learning Framework for Ride Hailing PlatformsXiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye. 3605-3615 [doi]
- Recommending the Most Effective Intervention to Improve Employment for Job Seekers with DisabilityHa Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters. 3616-3626 [doi]
- Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data WarehouseMartin Valdez-Vivas, Varun Sharma, Nick Stanisha, Shan Li 0001, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler. 3627-3637 [doi]
- Bipartite Dynamic Representations for Abuse DetectionAndrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec. 3638-3648 [doi]
- MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong LearningChengyu Wang 0001, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai 0001. 3649-3659 [doi]
- Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic DeadlinesGuang Wang, Zhou Qin 0001, Shuai Wang, Huijun Sun, Zheng Dong 0002, Desheng Zhang. 3660-3669 [doi]
- Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network ApproachHaishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu. 3670-3678 [doi]
- Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement LearningHao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang. 3679-3687 [doi]
- Tac-Valuer: Knowledge-based Stroke Evaluation in Table TennisJiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu. 3688-3696 [doi]
- Reinforcing Pretrained Models for Generating Attractive Text AdvertisementsXiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie 0001. 3697-3707 [doi]
- Multimodal Emergent Fake News Detection via Meta Neural Process NetworksYaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao. 3708-3716 [doi]
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical LiteratureYu Wang 0009, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng 0002, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon. 3717-3725 [doi]
- Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly DetectionZhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang. 3726-3734 [doi]
- Representation Learning for Predicting Customer OrdersTongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, Yuming Deng. 3735-3744 [doi]
- Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display AdvertisingDongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen. 3745-3755 [doi]
- Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph InferenceJianing Xi, Liping Ye, Qinghua Huang, Xuelong Li. 3756-3764 [doi]
- Medical Entity Relation Verification with Large-scale Machine Reading ComprehensionYuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong 0001. 3765-3774 [doi]
- EXACTA: Explainable Column AnnotationYikun Xian, Handong Zhao, Tak Yeon Lee, SungChul Kim, Ryan Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan 0001. 3775-3785 [doi]
- DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate PredictionFengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao 0005, Xiaofeng Yang, Jun Lang, Hao Wang. 3786-3794 [doi]
- FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular DataYuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou. 3795-3805 [doi]
- Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime ValueMingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xinji Luo, Cunxiang Yin, Jing Cai, Yancheng He. 3806-3816 [doi]
- Towards the D-Optimal Online Experiment Design for Recommender SelectionDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 3817-3825 [doi]
- PAMI: A Computational Module for Joint Estimation and Progression Prediction of GlaucomaLinchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi. 3826-3834 [doi]
- Session-Aware Query Auto-completion using Extreme Multi-Label RankingNishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon. 3835-3844 [doi]
- FLOP: Federated Learning on Medical Datasets using Partial NetworksQian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin. 3845-3853 [doi]
- Improving the Information Disclosure in Mobility-on-Demand SystemsYue Yang, Yuan Shi, Dejian Wang, Qisheng Chen, Lei Xu, Hanqian Li, Zhouyu Fu, Xin Li, Hao Zhang. 3854-3864 [doi]
- Device-Cloud Collaborative Learning for RecommendationJiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang. 3865-3874 [doi]
- Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent NetworkJaehyuk Yi, Jinkyoo Park. 3875-3885 [doi]
- Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product RecommendationSanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi. 3886-3894 [doi]
- AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at AlibabaNingyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen 0010, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen. 3895-3905 [doi]
- Talent Demand Forecasting with Attentive Neural Sequential ModelQi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong. 3906-3916 [doi]
- AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource UtilizationQingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang. 3917-3927 [doi]
- MEOW: A Space-Efficient Nonparametric Bid Shading AlgorithmWei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman. 3928-3936 [doi]
- MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate AppraisalWeijia Zhang 0003, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong 0001. 3937-3947 [doi]
- HALO: Hierarchy-aware Fault Localization for Cloud SystemsXu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang 0002, Si-qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang. 3948-3958 [doi]
- AutoLoss: Automated Loss Function Search in RecommendationsXiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang. 3959-3967 [doi]
- Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface PredictionYu Zheng, Yongxin Yang, Bowei Chen. 3968-3975 [doi]
- AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational DataZhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng. 3976-3984 [doi]
- Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender SystemsChang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang. 3985-3995 [doi]
- An Efficient Deep Distribution Network for Bid Shading in First-Price AuctionsTian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores. 3996-4004 [doi]
- Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and AdvertisingYongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao. 4005-4013 [doi]
- Pre-trained Language Model based Ranking in Baidu SearchLixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin. 4014-4022 [doi]
- Software as a Medical Device: Regulating AI in Healthcare via Responsible AIMuhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert. 4023-4024 [doi]
- Data Science on BlockchainsCuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel. 4025-4026 [doi]
- Online Advertising Incrementality Testing And Experimentation: Industry Practical LessonsJoel Barajas, Narayan Bhamidipati, James G. Shanahan. 4027-4028 [doi]
- Creating Recommender Systems Datasets in Scientific FieldsMárcia Barros, Francisco M. Couto, Matilde Pato, Pedro Ruas. 4029-4030 [doi]
- Challenges in KDD and ML for Sustainable DevelopmentLaure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami. 4031-4032 [doi]
- Explainability for Natural Language ProcessingMarina Danilevsky, Shipi Dhanorkar, Yunyao Li 0001, Lucian Popa 0001, Kun Qian 0002, Anbang Xu. 4033-4034 [doi]
- Machine Learning Explainability and Robustness: Connected at the HipAnupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang. 4035-4036 [doi]
- Fairness and Explanation in Clustering and Outlier DetectionIan Davidson. 4037 [doi]
- New Frontiers of Multi-Network Mining: Recent Developments and Future TrendBoxin Du, Si Zhang, Yuchen Yan, Hanghang Tong. 4038-4039 [doi]
- Data Quality for Machine Learning TasksNitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala. 4040-4041 [doi]
- Real-time Event Detection for Emergency Response TutorialAlejandro Jaimes, Joel R. Tetreault. 4042-4043 [doi]
- Graph Representation Learning: Foundations, Methods, Applications and SystemsWei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu. 4044-4045 [doi]
- Machine Learning Robustness, Fairness, and their ConvergenceJae-Gil Lee 0001, Yuji Roh, Hwanjun Song, Steven Euijong Whang. 4046-4047 [doi]
- AutoML: A Perspective where Industry Meets AcademyYaliang Li, Zhen Wang, Bolin Ding, Ce Zhang 0001. 4048-4049 [doi]
- Advances in Mining Heterogeneous Healthcare DataFenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun. 4050-4051 [doi]
- On the Power of Pre-Trained Text Representations: Models and Applications in Text MiningYu Meng 0001, Jiaxin Huang, Yu Zhang 0044, Jiawei Han 0001. 4052-4053 [doi]
- Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 InfodemicPreslav Nakov, Giovanni Da San Martino. 4054-4055 [doi]
- Toward Explainable Deep Anomaly DetectionGuansong Pang, Charu C. Aggarwal. 4056-4057 [doi]
- Data Pricing and Data Asset Governance in the AI EraJian Pei, Feida Zhu 0001, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu. 4058-4059 [doi]
- From Tables to Knowledge: Recent Advances in Table UnderstandingJay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen. 4060-4061 [doi]
- High-Dimensional Similarity Query Processing for Data ScienceJianbin Qin, Wei Wang 0011, Chuan Xiao 0001, Ying Zhang 0001, Yaoshu Wang. 4062-4063 [doi]
- A Visual Tour of Bias Mitigation Techniques for Word RepresentationsArchit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang 0001. 4064-4065 [doi]
- KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer ReviewNihar B. Shah. 4066-4067 [doi]
- Language Scaling: Applications, Challenges and ApproachesLinjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang. 4068-4069 [doi]
- Mixed Method Development of Evaluation MetricsBrian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz 0001. 4070-4071 [doi]
- Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, UberVasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee. 4072-4073 [doi]
- Artificial Intelligence for Drug DiscoveryJian Tang, Fei Wang, Feixiong Cheng. 4074-4075 [doi]
- From Deep Learning to Deep ReasoningTruyen Tran 0001, Vuong Le, Hung Le, Thao Minh Le. 4076-4077 [doi]
- Fairness in Networks: Social Capital, Information Access, and InterventionsSuresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset. 4078-4079 [doi]
- Counterfactual Explanations in Explainable AI: A TutorialCong Wang, Xiao-hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen. 4080-4081 [doi]
- Automated Machine Learning on GraphXin Wang, Wenwu Zhu. 4082-4083 [doi]
- Deep Learning on Graphs for Natural Language ProcessingLingfei Wu, Yu Chen 0022, Heng Ji, Bang Liu. 4084-4085 [doi]
- Adversarial Robustness in Deep Learning: From Practices to TheoriesHan Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang. 4086-4087 [doi]
- Physics-Guided AI for Large-Scale Spatiotemporal DataRose Yu, Paris Perdikaris, Anuj Karpatne. 4088-4089 [doi]
- All You Need to Know to Build a Product Knowledge GraphNasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong. 4090-4091 [doi]
- Data Efficient Learning on GraphsChuxu Zhang, Jundong Li, Meng Jiang 0001. 4092-4093 [doi]
- Simple and Automatic Distributed Machine Learning on RayHao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica. 4094-4095 [doi]
- Causal Inference from Network DataElena Zheleva, David Arbour. 4096-4097 [doi]
- Multi-Objective RecommendationsYong Zheng, David (Xuejun) Wang. 4098-4099 [doi]
- Towards Fair Federated LearningZirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang. 4100-4101 [doi]
- Fragile Earth: Accelerating Progress towards Equitable SustainabilityNaoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop Ganguly, James Hodson, Ramakrishnan Kannan. 4102-4103 [doi]
- The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021)Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash. 4104-4105 [doi]
- AdKDD 2021Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan. 4106-4107 [doi]
- ODD: Outlier Detection and DescriptionSiddharth Bhatia 0001, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta. 4108-4109 [doi]
- BiblioDAP'21: The 1st Workshop on Bibliographic Data Analysis and ProcessingZeyd Boukhers, Philipp Mayr 0001, Silvio Peroni. 4110-4111 [doi]
- Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu. 4112-4113 [doi]
- Bayesian Causal Inference for Real World Interactive SystemsNicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang. 4114-4115 [doi]
- Workshop on Online and Adaptative Recommender Systems (OARS)Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian McAuley, Tao Ye, Kamelia Aryafar, Vachik Dave, Mohammad Korayem. 4116-4117 [doi]
- Measures and Best Practices for Responsible AISunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh. 4118 [doi]
- The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021)Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang. 4119-4120 [doi]
- International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and ApplicationsYing Ding, Bogdan Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda. 4121-4122 [doi]
- Data Science with Human in the LoopEduard C. Dragut, Yunyao Li 0001, Lucian Popa 0001, Slobodan Vucetic. 4123-4124 [doi]
- Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience PlanningSnehalkumar (Neil) S. Gaikwad, Shankar-Iyer, Dalton D. Lunga, Elizabeth Bondi. 4125-4126 [doi]
- DI-2021: The Second Document Intelligence WorkshopBenjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari 0001, Sandeep Tata. 4127-4128 [doi]
- The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the WebAude Hofleitner, Meng Jiang 0001, Srijan Kumar, Neil Shah, Kai Shu. 4129-4130 [doi]
- WIT: Workshop on deriving Insights from user-generated TextEstevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan. 4131-4132 [doi]
- Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and BeyondDaniel Jiang, Haipeng Luo, Chu Wang, Yingfei Wang. 4133-4134 [doi]
- Workshop on Data-Efficient Machine Learning (DeMaL)Sumeet Katariya, Nikhil Rao, Chandan K. Reddy. 4135-4136 [doi]
- 2021 KDD Workshop on Understanding Public Perceptions for Applied Data Science: How Important is it to Engage Society in Technology Development?ChanGhee Koh, Soyoung Kim, Nathaniel Tan. 4137-4138 [doi]
- Machine Learning in FinanceSenthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. Rodríguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha. 4139-4140 [doi]
- The KDD 2021 Workshop on Causal Discovery (CD2021)Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash. 4141-4142 [doi]
- The Third International TrueFact Workshop: Making a Credible Web for TomorrowSubhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao. 4143-4144 [doi]
- Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA)Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich. 4145-4146 [doi]
- 2nd International Workshop on Data Quality Assessment for Machine LearningHima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi. 4147-4148 [doi]
- VDS'21: Visualization in Data ScienceClaudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao. 4149-4150 [doi]
- MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time SeriesSanjay Purushotham, Yaguang Li, Zhengping Che. 4151-4152 [doi]
- ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence-enabled Cybersecurity AnalyticsSagar Samtani, Shanchieh Yang, Hsinchun Chen. 4153-4154 [doi]
- Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive ResearchToryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, Mei-Ling E. Feng, Olukunle O. Owolabi, Sean E. Ryan, Marie-Christine Düker, Michael Jauch, David S. Matteson. 4155-4156 [doi]
- The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021)Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang 0001. 4157-4158 [doi]
- KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in HealthFei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun 0014, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner. 4159-4160 [doi]
- MLHat: Deployable Machine Learning for Security DefenseGang Wang, Arridhana Ciptadi, Ali Ahmadzadeh. 4161-4162 [doi]
- The Fifth International Workshop on Automation in Machine LearningTao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li. 4163-4164 [doi]
- Machine Learning for Consumers and MarketsWen Wang, Han Zhao, Dokyun Lee, George H. Chen. 4165-4166 [doi]
- The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21)Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo 0002. 4167-4168 [doi]
- TMC 2021: 2021 International Workshop on Talent and Management ComputingHui Xiong 0001, Hengshu Zhu, Tong Xu 0001, Xi Zhang. 4169-4170 [doi]
- PLP 2021: Workshop on Programming Language ProcessingChang Xu, Siqi Ma, David Lo 0001. 4171-4172 [doi]
- 2nd International Workshop on Industrial Recommendation Systems (IRS)Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu. 4173-4174 [doi]
- 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021)Da Yan 0001, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki. 4175-4176 [doi]
- Workshop on Model MiningShan You, Chang Xu, Fei Wang, Changshui Zhang. 4177-4178 [doi]
- The 4th Artificial Intelligence of Things (AIoT) WorkshopJian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl. 4179-4180 [doi]
- Overview of the 1st Workshop on City Brain ResearchGuanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen. 4181-4182 [doi]
- DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and SystemsXun Zhou, Liang Zhao, Zhe Jiang 0001, Robert N. Stewart, Shashi Shekhar, Jieping Ye. 4183-4184 [doi]
- The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust DayFeida Zhu, Jian Pei. 4185-4186 [doi]
- 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang. 4187-4188 [doi]