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Unsupervised Differentiable Multi-Aspect Network Embedding
Paper
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May 15, 2020
KDD 2020 Research Track
Unsupervised Differentiable Multi-Aspect Network Embedding
2020
Identifying Tasks from Mobile App Usage Patterns
Paper
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May 1, 2020
SIGIR 2020 industrial track
Identifying Tasks from Mobile App Usage Patterns
2020
Bidirectional Anycast/Unicast Probing (BAUP): Optimizing CDN Anycast
Paper
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April 21, 2020
TMA 2020
Bidirectional Anycast/Unicast Probing (BAUP): Optimizing CDN Anycast
2020
EvenDB: Optimizing Key-Value Storage for Spatial Locality
Paper
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February 14, 2020
EuroSys 2020
EvenDB: Optimizing Key-Value Storage for Spatial Locality
2020
Layered Graph Embedding for Entity Recommendation Using Wikipedia in the Yahoo! Knowledge Graph
Paper
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February 4, 2020
Wiki Workshop 2020/ WWW2020
Layered Graph Embedding for Entity Recommendation Using Wikipedia in the Yahoo! Knowledge Graph
2020
MBA: Mini-Batch AUC Optimization
Paper
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January 27, 2020
IEEE Transactions on Neural Networks and Learning Systems
MBA: Mini-Batch AUC Optimization
2020
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
Paper
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January 10, 2020
The Web Conference 2020 (WWW)
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
2020
Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit
Paper
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January 10, 2020
WWW 2020
Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit
2020
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
Paper
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November 10, 2019
AAAI 2020
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
2019
DeepVar: An End-to-End Deep Learning Approach for
Genomic Variant Recognition in Biomedical Literature
Paper
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November 10, 2019
AAAI 2020
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
2019
Oak: A Scalable Off-Heap Allocated Key-Value Map
Paper
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November 3, 2019
Principles and Practice of Parallel Programming (PPoPP) 2020
Oak: A Scalable Off-Heap Allocated Key-Value Map
2019
Fast Concurrent Data Sketches
Paper
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November 3, 2019
Principles and Practice of Parallel Programming (PPoPP) 2020
Fast Concurrent Data Sketches
2019
Scalable Top-K Retrieval with Sparta
Paper
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November 3, 2019
Principles and Practice of Parallel Programming (PPoPP) 2020
Scalable Top-K Retrieval with Sparta
2019
Ad Close Mitigation for Improved User Experience in Native Advertisements
Paper
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October 10, 2019
WSDM 2020
Ad Close Mitigation for Improved User Experience in Native Advertisements
2019
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach
Paper
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June 17, 2019
MIS Quarterly
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach
2019
Identification of Seasonality in Internet Traffic to Support Control of Online Advertising
Paper
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January 1, 2019
American Control Conference 2019
Identification of Seasonality in Internet Traffic to Support Control of Online Advertising
2019
Adaptive Optimization and Control in Online Advertising
Paper
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January 1, 2019
CDC - 58th IEEE Conference on Decision and Control
Adaptive Optimization and Control in Online Advertising
2019
Time-Aware Prospective Modeling of Users for Online Display Advertising
Paper
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January 1, 2019
AdKDD
Time-Aware Prospective Modeling of Users for Online Display Advertising
2019
Hierarchical Transfer Learning for Multi-label Text Classification
Paper
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January 1, 2019
ACL
Hierarchical Transfer Learning for Multi-label Text Classification
2019
Estimating the Number of Distinct Items in a Database by Sampling
Paper
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January 1, 2019
CIKM
Estimating the Number of Distinct Items in a Database by Sampling
2019
Deeply Supervised Model for Click-Through Rate Prediction in Sponsored Search
Paper
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January 1, 2019
Data Mining and Knowledge Discovery
Deeply Supervised Model for Click-Through Rate Prediction in Sponsored Search
2019
Understanding Travel from Web Queries Using Domain Knowledge from Wikipedia
Paper
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January 1, 2019
Companion Proceedings of The 2019 World Wide Web Conference
Understanding Travel from Web Queries Using Domain Knowledge from Wikipedia
2019
Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native
Paper
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January 1, 2019
CIKM
Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native
2019
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
Paper
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January 1, 2019
CIKM
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
2019
Inferring Advertiser Sentiment in Online Articles Using Wikipedia Footnotes
Paper
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January 1, 2019
Companion Proceedings of The 2019 World Wide Web Conference
Inferring Advertiser Sentiment in Online Articles Using Wikipedia Footnotes
2019
Toward Realistic Image Compositing with Adversarial Learning
Paper
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January 1, 2019
CVPR
Toward Realistic Image Compositing with Adversarial Learning
2019
Learning from Multi-User Activity Trails for B2B Ad Targeting
Paper
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January 1, 2019
AdKDD
Learning from Multi-User Activity Trails for B2B Ad Targeting
2019
Automatic Feature Engineering from Very High Dimensional Event Logs Using Deep Neural Networks
Paper
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January 1, 2019
DLP-KDD 2019
Automatic Feature Engineering from Very High Dimensional Event Logs Using Deep Neural Networks
2019
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
Paper
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January 1, 2019
ICMLA 2019
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
2019
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