Huafeng Liu

According to our database, Huafeng Liu authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structure-Driven Representation Learning for Deep Clustering.

Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu

ACM Trans. Knowl. Discov. Data, January, 2024

2023

Textual tag recommendation with multi-tag topical attention.

Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu

Neurocomputing, June, 2023

Deep Generative Mixture Model for Robust Imbalance Classification.

Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification.

Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study.

Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing

CoRR, 2023

Neural Processes with Stability.

Huafeng Liu, Liping Jing, Jian Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process.

Huafeng Liu, Mingjie Zhou, Liping Jing, Michael K. Ng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection.

Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction.

Mingyang Song, Huafeng Liu, Liping Jing

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation.

Jingxuan Wen, Huafeng Liu, Liping Jing

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process.

Mingyang Song, Huafeng Liu, Liping Jing

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information.

Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Bayesian Additive Matrix Approximation for Social Recommendation.

Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng

ACM Trans. Knowl. Discov. Data, 2022

HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization.

Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou

CoRR, 2022

Leveraging implicit social structures for recommendation via a Bayesian generative model.

Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu

Sci. China Inf. Sci., 2022

Amortized Mixing Coupling Processes for Clustering.

Huafeng Liu, Liping Jing

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes.

Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process.

Huafeng Liu, Tong Zhou, Jiaqi Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Social Recommendation With Learning Personal and Social Latent Factors.

Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2021

Interpretable Deep Generative Recommendation Models.

Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng

J. Mach. Learn. Res., 2021

Interpretable Image Recognition by Constructing Transparent Embedding Space.

Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering.

Huafeng Liu, Jiaqi Wang, Liping Jing

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Global and Local Generative Model for Recommendation.

Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu

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

Deep Generative Recommendation with Maximizing Reciprocal Rank.

Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu

Proceedings of the Knowledge Science, Engineering and Management, 2020

2019

Adaptive Local Low-rank Matrix Approximation for Recommendation.

Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu

ACM Trans. Inf. Syst., 2019

Collaboration Matrix Factorization on Rate and Review for Recommendation.

Zhicheng Wu, Huafeng Liu, Yanyan Xu, Liping Jing

J. Database Manag., 2019

Deep generative ranking for personalized recommendation.

Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

In2Rec: Influence-based Interpretable Recommendation.

Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation.

Xingxing Li, Liping Jing, Huafeng Liu

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Additive Co-Clustering with Social Influence for Recommendation.

Xixi Du, Huafeng Liu, Liping Jing

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

An Efficient Parallel Trust-Based Recommendation Method on Multicores.

Huafeng Liu, Liping Jing, MiaoMiao Cheng

Proceedings of the 2016 High Performance Graph Data Management and Processing Workshop, 2016