Fajie Yuan

Min Yang

Shen Li

Xiaoyan Zhao

CoRR, 2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2021

One Person, One Model, One World: Learning Continual User Representation without Forgetting.

[BibT_eX]

[DOI]

Guoxiao Zhang

Beibei Kong

Yudong Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Training Towards Robust Multimedia Recommender System.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking.

[BibT_eX]

[DOI]

CoRR, 2020

One Person, One Model, One World: Learning Continual User Representation without Forgetting.

[BibT_eX]

[DOI]

Guoxiao Zhang

CoRR, 2020

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

[BibT_eX]

[DOI]

Liguang Zhang

CoRR, 2020

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.

[BibT_eX]

[DOI]

Liguang Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Generic Network Compression Framework for Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

A Simple Convolutional Generative Network for Next Item Recommendation.

[BibT_eX]

[DOI]

Ioannis Arapakis

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Learning implicit recommenders from massive unobserved feedback.

[BibT_eX]

[DOI]

PhD thesis, 2018

Revisiting the cluster-based paradigm for implicit search result diversification.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2018

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

[BibT_eX]

[DOI]

Ioannis Arapakis

Rami Suleiman Alkhawaldeh

CoRR, 2018

Improving Negative Sampling for Word Representation using Self-embedded Features.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

f<sub>BGD</sub>: Learning Embeddings From Positive Unlabeled Data with BGD.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Approximating Word Ranking and Negative Sampling for Word Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Batch IS NOT Heavy: Learning Word Representations From All Samples.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Hybrid Approach for Question Retrieval in Community Question Answerin.

[BibT_eX]

[DOI]

Comput. J., 2017

A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

LTRo: Learning to Route Queries in Clustered P2P IR.

[BibT_eX]

[DOI]

Deepak P