Weakly supervised label learning flows.
Neural Networks, 2025
Dual-Tower Counterfactual Session-Aware Recommender System.
Entropy, June, 2024
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation.
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CoRR, 2024
A Counterfactual Collaborative Session-based Recommender System.
CoRR, 2023
A Counterfactual Collaborative Session-based Recommender System.
Proceedings of the ACM Web Conference 2023, 2023
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
A block-based generative model for attributed network embedding.
World Wide Web, 2021
Hyperbolic node embedding for signed networks.
Neurocomputing, 2021
Next-item Recommendations in Short Sessions.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst., 2020
A Block-based Generative Model for Attributed Networks Embedding.
CoRR, 2020
Hyperbolic Node Embedding for Signed Networks.
CoRR, 2019
Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing.
J. Comput. Sci. Technol., 2018
Learning node and edge embeddings for signed networks.
Neurocomputing, 2018
Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.
Proceedings of the Knowledge Science, Engineering and Management, 2018
A fast and scalable supervised topic model using stochastic variational inference and MapReduce.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016