
EndtoEnd Conversational Search for Online Shopping with Utterance Transfer
Successful conversational search systems can present natural, adaptive a...
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Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
In this paper, we propose a Spatial Robust Mixture Regression model to i...
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Counterfactual Graph Learning for Link Prediction
Learning to predict missing links is important for many graphbased appl...
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Graphbased Multilingual Product Retrieval in Ecommerce Search
Nowadays, with many ecommerce platforms conducting global business, ec...
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SentencePermuted Paragraph Generation
Generating paragraphs of diverse contents is important in many applicati...
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Cortical Morphometry Analysis based on Worst Transportation Theory
Biomarkers play an important role in early detection and intervention in...
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Deep RealTime Decoding of bimanual grip force from EEG fNIRS
Noninvasive cortical neural interfaces have only achieved modest perfor...
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Early Anomaly Detection by Learning and Forecasting Behavior
Graph anomaly detection systems aim at identifying suspicious accounts o...
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A Unified View on Graph Neural Networks as Graph Signal Denoising
Graph Neural Networks (GNNs) have risen to prominence in learning repres...
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Federated Dynamic GNN with Secure Aggregation
Given video data from multiple personal devices or street cameras, can w...
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Neural TimeDependent Partial Differential Equation
Partial differential equations (PDEs) play a crucial role in studying a ...
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Geometric AllWay Boolean Tensor Decomposition
Boolean tensor has been broadly utilized in representing high dimensiona...
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Denoising individual bias for a fairer binary submatrix detection
Low rank representation of binary matrix is powerful in disentangling sp...
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Learning AttributeStructure CoEvolutions in Dynamic Graphs
Most graph neural network models learn embeddings of nodes in static att...
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AutoKnow: SelfDriving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
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MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Given multiple input signals, how can we infer node importance in a know...
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Octet: Online Catalog Taxonomy Enrichment with SelfSupervision
Taxonomies have found wide applications in various domains, especially o...
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Canonicalizing Open Knowledge Bases with MultiLayered MetaGraph Neural Network
Noun phrases and relational phrases in Open Knowledge Bases are often no...
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Data Augmentation for Graph Neural Networks
Data augmentation has been widely used to improve generalizability of ma...
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A Probabilistic Model with Commonsense Constraints for Patternbased Temporal Fact Extraction
Textual patterns (e.g., Country's president Person) are specified and/or...
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MEBF: a fast and efficient Boolean matrix factorization method
Boolean matrix has been used to represent digital information in many fi...
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Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation
Boolean matrix has been used to represent digital information in many fi...
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Constructing InformationLossless Biological Knowledge Graphs from Conditional Statements
Conditions are essential in the statements of biological literature. Wit...
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Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
How can we estimate the importance of nodes in a knowledge graph (KG)? A...
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Saliency Detection with Spaces of Backgroundbased Distribution
In this letter, an effective image saliency detection method is proposed...
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Tong Zhao
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