
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions
Deep neural networks are widely used in personalized recommendation syst...
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Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Incremental processing is widelyadopted in many applications, ranging f...
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Intertwining Order Preserving Encryption and Differential Privacy
Ciphertexts of an orderpreserving encryption (OPE) scheme preserve the ...
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Poet: Productoriented Video Captioner for Ecommerce
In ecommerce, a growing number of usergenerated videos are used for pr...
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Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
To automate the generation of interactive features, recent methods are p...
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Comprehensive Information Integration Modeling Framework for Video Titling
In ecommerce, consumergenerated videos, which in general deliver consu...
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Contrastive Learning for Debiased Candidate Generation in LargeScale Recommender Systems
Deep candidate generation (DCG) that narrows down the collection of rele...
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Contrastive Learning for Debiased Candidate Generation at Scale
Deep candidate generation has become an increasingly popular choice depl...
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Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
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Taming the Expressiveness and Programmability of Graph Analytical Queries
Graph database has enjoyed a boom in the last decade, and graph queries ...
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InterBERT: VisionandLanguage Interaction for Multimodal Pretraining
Multimodal pretraining for learning highlevel multimodal representati...
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Learning to Hash with Graph Neural Networks for Recommender Systems
Graph representation learning has attracted much attention in supporting...
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AdaBERT: TaskAdaptive BERT Compression with Differentiable Neural Architecture Search
Large pretrained language models such as BERT have shown their effectiv...
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Design of Algorithms under PolicyAware Local Differential Privacy: UtilityPrivacy Tradeoffs
Local differential privacy (LDP) enables private data sharing and analyt...
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MURS: Practical and Robust Privacy Amplification with MultiParty Differential Privacy
When collecting information, local differential privacy (LDP) alleviates...
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Practical and Robust Privacy Amplification with MultiParty Differential Privacy
When collecting information, local differential privacy (LDP) alleviates...
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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behaviorspecific Networks
Lowdimensional embeddings of knowledge graphs and behavior graphs have ...
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A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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Sequential ScenarioSpecific Meta Learner for Online Recommendation
Coldstart problems are longstanding challenges for practical recommend...
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Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Networks have been widely used as the data structure for abstracting rea...
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Representation Learning for Attributed Multiplex Heterogeneous Network
Network embedding (or graph embedding) has been widely used in many real...
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Towards KnowledgeBased Personalized Product Description Generation in Ecommerce
Quality product descriptions are critical for providing competitive cust...
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AliGraph: A Comprehensive Graph Neural Network Platform
An increasing number of machine learning tasks require dealing with larg...
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PANDA: Facilitating Usable AI Development
Recent advances in artificial intelligence (AI) and machine learning hav...
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Jingren Zhou
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