Data Science & Analytics

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021 Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories ICCV 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Integrated Principal Components Analysis JMLR 2021 Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval ACL 2021 Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data JMLR 2021 Intelligent Recommendations for Citizen Science AAAI 2021 “It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems EMNLP 2021 It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Keyword Augmentation via Generative Methods ACL 2021 Knowledge-aware Coupled Graph Neural Network for Social Recommendation AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation AAAI 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball AAAI 2021 Large-Scale Unsupervised Object Discovery NeurIPS 2021 Learnable Dynamic Temporal Pooling for Time Series Classification AAAI 2021 Learning-based Support Estimation in Sublinear Time ICLR 2021 Learning by Watching CVPR 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning Deep Generative Models for Queuing Systems AAAI 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 Learning from Censored and Dependent Data: The case of Linear Dynamics COLT 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning Multi-Scale Photo Exposure Correction CVPR 2021