Huafeng Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Social Recommendation

Stochastic Process

Matrix Approximation

Generative Model

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu
Structure-Driven Representation Learning for Deep Clustering. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Jiaqi Wang, Huafeng Liu, Liping Jing
Transparent Embedding Space for Interpretable Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang
Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study. CoRR (2023)
Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu
Textual tag recommendation with multi-tag topical attention. Neurocomputing 537 (2023)
Huafeng Liu, Mingjie Zhou, Liping Jing, Michael K. Ng
Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. ACM Multimedia (2023)
Huafeng Liu, Liping Jing, Jian Yu
Neural Processes with Stability. NeurIPS (2023)
Mingyang Song, Huafeng Liu, Liping Jing
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. EMNLP (2023)
Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. ACL (Findings) (2023)
Mingyang Song, Huafeng Liu, Liping Jing
Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. CIKM (2023)
Jingxuan Wen, Huafeng Liu, Liping Jing
Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. CIKM (2023)
Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR (2022)
Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu
Leveraging implicit social structures for recommendation via a Bayesian generative model. Sci. China Inf. Sci. 65 (4) (2022)
Huafeng Liu, Tong Zhou, Jiaqi Wang
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. AAAI (2022)
Huafeng Liu, Liping Jing
Amortized Mixing Coupling Processes for Clustering. NeurIPS (2022)
Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng
Bayesian Additive Matrix Approximation for Social Recommendation. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng
Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. ACM Multimedia (2022)
Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing
Interpretable Image Recognition by Constructing Transparent Embedding Space. ICCV (2021)
Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng
Interpretable Deep Generative Recommendation Models. J. Mach. Learn. Res. 22 (2021)
Huafeng Liu, Jiaqi Wang, Liping Jing
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. CVPR (2021)
Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng
Social Recommendation With Learning Personal and Social Latent Factors. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu
Deep Generative Recommendation with Maximizing Reciprocal Rank. KSEM (2) (2020)
Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu
Deep Global and Local Generative Model for Recommendation. WWW (2020)
Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu
Deep generative ranking for personalized recommendation. RecSys (2019)
Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu
Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. 37 (4) (2019)
Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang
In2Rec: Influence-based Interpretable Recommendation. CIKM (2019)
Zhicheng Wu, Huafeng Liu, Yanyan Xu, Liping Jing
Collaboration Matrix Factorization on Rate and Review for Recommendation. J. Database Manag. 30 (2) (2019)
Xingxing Li, Liping Jing, Huafeng Liu
Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation. PRCV (3) (2018)
Xixi Du, Huafeng Liu, Liping Jing
Additive Co-Clustering with Social Influence for Recommendation. RecSys (2017)
Huafeng Liu, Liping Jing, MiaoMiao Cheng
An Efficient Parallel Trust-Based Recommendation Method on Multicores. HPGDMP@SC (2016)