Xiangnan He

According to our database1, Xiangnan He authored at least 152 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Learning Visual Elements of Images for Discovery of Brand Posts.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Improving Implicit Recommender Systems with Auxiliary Data.
ACM Trans. Inf. Syst., 2020

Fast Matrix Factorization With Nonuniform Weights on Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

Knowledge-Based Topic Model for Multi-Modal Social Event Analysis.
IEEE Trans. Multimedia, 2020

Hierarchical Attention Network for Visually-Aware Food Recommendation.
IEEE Trans. Multimedia, 2020

Adversarial Training Towards Robust Multimedia Recommender System.
IEEE Trans. Knowl. Data Eng., 2020

Generative Adversarial Active Learning for Unsupervised Outlier Detection.
IEEE Trans. Knowl. Data Eng., 2020

ATM: An Attentive Translation Model for Next-Item Recommendation.
IEEE Trans. Ind. Informatics, 2020

Video-based recipe retrieval.
Inf. Sci., 2020

Deep Learning for Matching in Search and Recommendation.
Found. Trends Inf. Retr., 2020

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue.
CoRR, 2020

CatGCN: Graph Convolutional Networks with Categorical Node Features.
CoRR, 2020

Adversarial Attack on Large Scale Graph.
CoRR, 2020

A Survey on Large-scale Machine Learning.
CoRR, 2020

Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning.
CoRR, 2020

Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR, 2020

Denoising Implicit Feedback for Recommendation.
CoRR, 2020

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users.
CoRR, 2020

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.
CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020

Modelling High-Order Social Relations for Item Recommendation.
CoRR, 2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation.
CoRR, 2020

A Survey of Adversarial Learning on Graphs.
CoRR, 2020

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions.
CoRR, 2020

Bilinear Graph Neural Network with Node Interactions.
CoRR, 2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.
CoRR, 2020

Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020

Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation.
CoRR, 2020

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

How to Retrain Recommender System?: A Sequential Meta-Learning Method.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Disentangled Graph Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Conversational Recommendation: Formulation, Methods, and Evaluation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-behavior Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Modeling Personalized Item Frequency Information for Next-basket Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FinIR 2020: The First Workshop on Information Retrieval in Finance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bundle Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Interactive Path Reasoning on Graph for Conversational Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Bilinear Graph Neural Network with Neighbor Interactions.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Price-aware Recommendation with Graph Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Improving Neural Relation Extraction with Implicit Mutual Relations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Item-based Collaborative Filtering for Top-N Recommendation.
ACM Trans. Inf. Syst., 2019

Attentive Aspect Modeling for Review-Aware Recommendation.
ACM Trans. Inf. Syst., 2019

Temporal Relational Ranking for Stock Prediction.
ACM Trans. Inf. Syst., 2019

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering.
ACM Trans. Inf. Syst., 2019

Special issue on multimedia recommendation and multi-modal data analysis.
Multim. Syst., 2019

Modeling the Past and Future Contexts for Session-based Recommendation.
CoRR, 2019

Learning to Compose and Reason with Language Tree Structures for Visual Grounding.
CoRR, 2019

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels.
CoRR, 2019

Visually-aware Recommendation with Aesthetic Features.
CoRR, 2019

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure.
CoRR, 2019

Learning Vertex Representations for Bipartite Networks.
CoRR, 2019

Cross-domain Recommendation Without Sharing User-relevant Data.
Proceedings of the World Wide Web Conference, 2019

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.
Proceedings of the World Wide Web Conference, 2019

A Simple Convolutional Generative Network for Next Item Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Interpretable Fashion Matching with Rich Attributes.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Graph Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Learning Subjective Attributes of Images from Auxiliary Sources.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Mixed-dish Recognition with Contextual Relation Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

KGAT: Knowledge Graph Attention Network for Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sets2Sets: Learning from Sequential Sets with Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Modeling Extreme Events in Time Series Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

λOpt: Learn to Regularize Recommender Models in Finer Levels.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Enhancing Stock Movement Prediction with Adversarial Training.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reinforced Negative Sampling for Recommendation with Exposure Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Multi-task Recommendation from Multi-behavior Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Counterfactual Critic Multi-Agent Training for Scene Graph Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning and Reasoning on Graph for Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Reasoning over Knowledge Graphs for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Attributed Social Network Embedding.
IEEE Trans. Knowl. Data Eng., 2018

NAIS: Neural Attentive Item Similarity Model for Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation.
CoRR, 2018

Fast Matrix Factorization with Non-Uniform Weights on Missing Data.
CoRR, 2018

Improving Stock Movement Prediction with Adversarial Training.
CoRR, 2018

Visually-aware Collaborative Food Recommendation.
CoRR, 2018

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.
CoRR, 2018

Learning Recommender Systems from Multi-Behavior Data.
CoRR, 2018

Aesthetic-based Clothing Recommendation.
CoRR, 2018

A Simple but Hard-to-Beat Baseline for Session-based Recommendations.
CoRR, 2018

Aesthetic-based Clothing Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

TEM: Tree-enhanced Embedding Model for Explainable Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning on Partial-Order Hypergraphs.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

f<sub>BGD</sub>: Learning Embeddings From Positive Unlabeled Data with BGD.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Personal Privacy Preserving Framework: I Let You Know Who Can See What.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Fast Scalable Supervised Hashing.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Moment Retrieval in Videos.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Group Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Adversarial Personalized Ranking for Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

BiNE: Bipartite Network Embedding.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Knowledge-aware Multimodal Dialogue Systems.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Interpretable Multimodal Retrieval for Fashion Products.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Beyond the Product: Discovering Image Posts for Brands in Social Media.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Recommendation Technologies for Multimedia Content.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Cross-Domain Depression Detection via Harvesting Social Media.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete Factorization Machines for Fast Feature-based Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving Implicit Recommender Systems with View Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Outer Product-based Neural Collaborative Filtering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Batch IS NOT Heavy: Learning Word Representations From All Samples.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts.
ACM Trans. Inf. Syst., 2017

Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search.
IEEE Trans. Multimedia, 2017

BiRank: Towards Ranking on Bipartite Graphs.
IEEE Trans. Knowl. Data Eng., 2017

A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System.
Sensors, 2017

Version-sensitive mobile App recommendation.
Inf. Sci., 2017

Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search.
CoRR, 2017

Neural Collaborative Filtering.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Generic Coordinate Descent Framework for Learning from Implicit Feedback.
Proceedings of the 26th International Conference on World Wide Web, 2017

Item Silk Road: Recommending Items from Information Domains to Social Users.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Embedding Factorization Models for Jointly Recommending Items and User Generated Lists.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Neural Factorization Machines for Sparse Predictive Analytics.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Video Question Answering via Gradually Refined Attention over Appearance and Motion.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Enhancing Micro-video Understanding by Harnessing External Sounds.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multiview and Multimodal Pervasive Indoor Localization.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

How Personality Affects our Likes: Towards a Better Understanding of Actionable Images.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Discrete Collaborative Filtering.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Fast Matrix Factorization for Online Recommendation with Implicit Feedback.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Shorter-is-Better: Venue Category Estimation from Micro-Video.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Context-aware Image Tweet Modelling and Recommendation.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Differential spread strategy: An incentive for advertisement dissemination.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

TriRank: Review-aware Explainable Recommendation by Modeling Aspects.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

VELDA: Relating an Image Tweet's Text and Images.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Comment-based multi-view clustering of web 2.0 items.
Proceedings of the 23rd International World Wide Web Conference, 2014

Predicting the popularity of web 2.0 items based on user comments.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2010
Recording How-Provenance on Probabilistic Databases.
Proceedings of the Advances in Web Technologies and Applications, 2010


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