Paper Digest ——微软亚洲研究院高被引论文链接


ICML 2007:Learning To Rank: From Pairwise Approach To Listwise Approach

ICML 2008:Listwise Approach To Learning To Rank: Theory And Algorithm

ICML 2019:MASS: Masked Sequence To Sequence Pre-training For Language Generation

ICLR 2020:VL-BERT: Pre-training Of Generic Visual-Linguistic Representations

NeurIPS 2015: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

NeurIPS 2016: R-FCN: Object Detection via Region-based Fully Convolutional Networks

NeurIPS 2017:LightGBM: A Highly Efficient Gradient Boosting Decision Tree

NeurIPS 2019:Unified Language Model Pre-training For Natural Language Understanding And Generation



CVPR 2013:Salient Object Detection: A Discriminative Regional Feature Integration Approach

CVPR 2016:Deep Residual Learning For Image Recognition

CVPR 2019:Deep High-Resolution Representation Learning For Human Pose Estimation

ICCV 2015: Delving Deep Into Rectifiers: Surpassing Human-Level Performance On ImageNet Classification

ICCV 2017:Deformable Convolutional Networks



ACL 2004:Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics

ACL 2011:Target-dependent Twitter Sentiment Classification

ACL 2011:Recognizing Named Entities In Tweets

ACL 2014:Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

ACL 2014:Adaptive Recursive Neural Network For Target-dependent Twitter Sentiment Classification

ACL 2015:Question Answering Over Freebase With Multi-Column Convolutional Neural Networks

ACL 2017:Gated Self-Matching Networks For Reading Comprehension And Question Answering

EMNLP 2007:Low-Quality Product Review Detection in Opinion Summarization

EMNLP 2015:Document Modeling With Gated Recurrent Neural Network For Sentiment Classification

EMNLP 2016:Aspect Level Sentiment Classification With Deep Memory Network

EMNLP 2020:CodeBERT: A Pre-Trained Model For Programming And Natural Languages

EMNLP 2020:ProphetNet: Predicting Future N-gram For Sequence-to-Sequence Pre-training

NAACL 2003:Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics



SIGIR 2006:Adapting Ranking SVM To Document Retrieval

SIGIR 2007:Feature Selection For Ranking

SIGIR 2010:Learning To Rank For Information Retrieval

SIGIR 2017:Word-Entity Duet Representations For Document Ranking

SIGIR 2017:Leveraging Contextual Sentence Relations For Extractive Summarization Using A Neural Attention Model

CIKM 2005: Hybrid Index Structures For Location-based Web Search

CIKM 2011: Topic Sentiment Analysis In Twitter: A Graph-based Hashtag Sentiment Classification Approach

CIKM 2018: RippleNet: Propagating User Preferences On The Knowledge Graph For Recommender Systems



IJCAI 2018:Reinforced Mnemonic Reader For Machine Reading Comprehension

AAAI 2010:Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach

AAAI 2013:Multi-Armed Bandit With Budget Constraint And Variable Costs

AAAI 2014:Sequential Click Prediction For Sponsored Search With Recurrent Neural Networks

AAAI 2014:Learning Deep Representations For Graph Clustering

AAAI 2017:Topic Aware Neural Response Generation

AAAI 2019:Neural Speech Synthesis With Transformer Network

AAAI 2020:Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training




SIGCOMM 2004:Shield: Vulnerability-driven Network Filters For Preventing Known Vulnerability Exploits

SIGCOMM 2008:Dcell: A Scalable And Fault-tolerant Network Structure For Data Centers

SIGCOMM 2009:BCube: A High Performance, Server-centric Network Architecture For Modular Data Centers

SIGCOMM 2015:Pingmesh: A Large-Scale System For Data Center Network Latency Measurement And Analysis

WWW 2008:Learning Transportation Mode From Raw Gps Data For Geographic Applications On The Web

WWW 2009:Mining Interesting Locations And Travel Sequences From GPS Trajectories

WWW 2010:Collaborative Location And Activity Recommendations With GPS History Data

WWW 2015:LightLDA: Big Topic Models On Modest Computer Clusters

WWW 2018:DRN: A Deep Reinforcement Learning Framework for News Recommendation

WWW 2018:DKN: Deep Knowledge-Aware Network for News Recommendation

WWW 2019:Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

WWW 2019:Knowledge Graph Convolutional Networks For Recommender Systems

MOBICOM 2018:DeepCache: Principled Cache For Mobile Deep Vision



KDD 2011:Discovering Spatio-temporal Causal Interactions In Traffic Data Streams

KDD 2011:Driving with knowledge from the physical world

KDD 2012:Discovering Regions Of Different Functions In A City Using Human Mobility And POIs

KDD 2014:Inferring Gas Consumption And Pollution Emission Of Vehicles Throughout A City

KDD 2014:GeoMF: Joint Geographical Modeling And Matrix Factorization For Point-of-interest Recommendation

KDD 2015:Forecasting Fine-Grained Air Quality Based on Big Data

KDD 2016:Collaborative Knowledge Base Embedding For Recommender Systems

KDD 2018:xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

KDD 2020:LayoutLM: Pre-training Of Text And Layout For Document Image Understanding




SIGMOD 2010:Searching Trajectories By Locations: An Efficiency Study

SIGMOD 2013:Trinity: A Distributed Graph Engine On A Memory Cloud

SIGMOD 2016:PrivTree: A Differentially Private Algorithm For Hierarchical Decompositions