An Efficient Parallel Trust-Based Recommendation Method on Multicores. - Huafeng Liu 001; Liping Jing; MiaoMiao Cheng (HPGDMP@SC, 2016)

Additive Co-Clustering with Social Influence for Recommendation. - Xixi Du; Huafeng Liu 001; Liping Jing (RecSys, 2017)

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation. - Xingxing Li; Liping Jing; Huafeng Liu 001 (PRCV (3), 2018)

In2Rec: Influence-based Interpretable Recommendation. - Huafeng Liu 001; Jingxuan Wen; Liping Jing; Jian Yu 001; Xiangliang Zhang 001; Min Zhang 006 (CIKM, 2019)

Deep generative ranking for personalized recommendation. - Huafeng Liu 001; Jingxuan Wen; Liping Jing; Jian Yu 001 (RecSys, 2019)

Collaboration Matrix Factorization on Rate and Review for Recommendation. - Zhicheng Wu; Huafeng Liu 001; Yanyan Xu 001; Liping Jing (J. Database Manag., 2019)

Adaptive Local Low-rank Matrix Approximation for Recommendation. - Huafeng Liu 001; Liping Jing; Yuhua Qian; Jian Yu 001 (ACM Trans. Inf. Syst., 2019)

Deep Generative Recommendation with Maximizing Reciprocal Rank. - Xiaoyi Sun; Huafeng Liu 001; Liping Jing; Jian Yu 001 (KSEM (2), 2020)

Deep Global and Local Generative Model for Recommendation. - Huafeng Liu 001; Liping Jing; Jingxuan Wen; Zhicheng Wu; Xiaoyi Sun; Jiaqi Wang 006; Lin Xiao; Jian Yu 001 (WWW, 2020)

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. - Huafeng Liu 001; Jiaqi Wang 006; Liping Jing (CVPR, 2021)

Interpretable Image Recognition by Constructing Transparent Embedding Space. - Jiaqi Wang 006; Huafeng Liu 001; Xinyue Wang; Liping Jing (ICCV, 2021)

Interpretable Deep Generative Recommendation Models. - Huafeng Liu 001; Liping Jing; Jingxuan Wen; Pengyu Xu; Jiaqi Wang 006; Jian Yu 001; Michael K. Ng 001 (J. Mach. Learn. Res., 2021)

Social Recommendation With Learning Personal and Social Latent Factors. - Huafeng Liu 001; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2021)

Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. - Huafeng Liu 001; Tong Zhou; Jiaqi Wang 006 (AAAI, 2022)

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. - Huafeng Liu 001; Liping Jing; Dahai Yu; Mingjie Zhou; Michael Ng 001 (ACM Multimedia, 2022)

Amortized Mixing Coupling Processes for Clustering. - Huafeng Liu 001; Liping Jing (NeurIPS, 2022)

Leveraging implicit social structures for recommendation via a Bayesian generative model. - Huafeng Liu 001; Jingxuan Wen; Liping Jing; Jian Yu 001 (Sci. China Inf. Sci., 2022)

HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. - Yihang Gao; Huafeng Liu 001; Michael K. Ng 001; Mingjie Zhou (CoRR, 2022)

Bayesian Additive Matrix Approximation for Social Recommendation. - Huafeng Liu 001; Liping Jing; Jingxuan Wen; Pengyu Xu; Jian Yu 001; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2022)

Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. - Mingyang Song; Huafeng Liu 001; Yi Feng; Liping Jing (ACL (Findings), 2023)

Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. - Mingyang Song; Huafeng Liu 001; Liping Jing (CIKM, 2023)

Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. - Jingxuan Wen; Huafeng Liu 001; Liping Jing (CIKM, 2023)

HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. - Mingyang Song; Huafeng Liu 001; Liping Jing (EMNLP, 2023)

Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. - Mingyang Song; Pengyu Xu; Yi Feng; Huafeng Liu 001; Liping Jing (EMNLP, 2023)

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. - Huafeng Liu 001; Mingjie Zhou; Liping Jing; Michael K. Ng 001 (ACM Multimedia, 2023)

Neural Processes with Stability. - Huafeng Liu 001; Liping Jing; Jian Yu 001 (NeurIPS, 2023)

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study. - Mingyang Song; Haiyun Jiang; Shuming Shi 001; Songfang Yao; Shilong Lu; Yi Feng; Huafeng Liu 001; Liping Jing (CoRR, 2023)

Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. - Lin Xiao; Pengyu Xu; Mingyang Song; Huafeng Liu 001; Liping Jing; Xiangliang Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Deep Generative Mixture Model for Robust Imbalance Classification. - Xinyue Wang; Liping Jing; Yilin Lyu; Mingzhe Guo; Jiaqi Wang 006; Huafeng Liu 001; Jian Yu 001; Tieyong Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Textual tag recommendation with multi-tag topical attention. - Pengyu Xu; Mingxuan Xia; Lin Xiao; Huafeng Liu 001; Bing Liu; Liping Jing; Jian Yu 001 (Neurocomputing, 2023)

Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment. - Jiaqi Wang 006; Pichao Wang; Yi Feng; Huafeng Liu 001; Chang Gao; Liping Jing (ACM Multimedia, 2024)

Deep fair clustering with multi-level decorrelation. - Xiang Wang; Liping Jing; Huafeng Liu 001; Jian Yu 001; Weifeng Geng; Gencheng Ye (Inf. Sci., 2024)

Structure-Driven Representation Learning for Deep Clustering. - Xiang Wang; Liping Jing; Huafeng Liu 001; Jian Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Transparent Embedding Space for Interpretable Image Recognition. - Jiaqi Wang 006; Huafeng Liu 001; Liping Jing (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. - Huafeng Liu 001; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2024)