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ORCIDHuafeng Liu 0001
Person information
- affiliation: Beijing Jiaotong University, Beijing Key Lab of Traffic Data Analysis and Mining, China
Other persons with the same name
- Huafeng Liu — disambiguation page
- Huafeng Liu 0002
![[0000-0003-0757-2362]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0757-2362")
— Huazhong University of Science and Technology, School of Physics, MOE Key Laboratory of Fundamental Physical Quantities Measurement, Wuhan, China (and 2 more) - Huafeng Liu 0003 — Zhejiang University, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China (and 1 more)
- Huafeng Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Huafeng Liu 0005 — Rice University, Houston, TX, USA
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2020 – today
- 2024
[j13]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu, Weifeng Geng, Gencheng Ye:
Deep fair clustering with multi-level decorrelation. Inf. Sci. 681: 121252 (2024)- [j12]Jiaqi Wang, Huafeng Liu, Liping Jing:
Transparent Embedding Space for Interpretable Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3204-3219 (2024) - [j11]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu:
Structure-Driven Representation Learning for Deep Clustering. ACM Trans. Knowl. Discov. Data 18(1): 31:1-31:25 (2024) - [j10]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): 3237-3251 (2024) - [c20]Jiaqi Wang, Pichao Wang, Yi Feng, Huafeng Liu, Chang Gao, Liping Jing:
Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment. ACM Multimedia 2024: 8972-8981 - 2023
- [j9]Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu:
Textual tag recommendation with multi-tag topical attention. Neurocomputing 537: 73-84 (2023) - [j8]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): 2897-2912 (2023) - [j7]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: 2616-2628 (2023) - [c19]Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing:
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. ACL (Findings) 2023: 1041-1048 - [c18]Jingxuan Wen, Huafeng Liu, Liping Jing:
Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. CIKM 2023: 2706-2715 - [c17]Mingyang Song, Huafeng Liu, Liping Jing:
Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. CIKM 2023: 4294-4299 - [c16]Mingyang Song, Huafeng Liu, Liping Jing:
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. EMNLP 2023: 16070-16080 - [c15]Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing:
Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. EMNLP 2023: 16349-16359 - [c14]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: 6212-6222 - [c13]Huafeng Liu, Liping Jing, Jian Yu:
Neural Processes with Stability. NeurIPS 2023 - [i2]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 abs/2303.13001 (2023) - 2022
- [j6]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) - [j5]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): 7:1-7:34 (2022) - [c12]Huafeng Liu, Tong Zhou, Jiaqi Wang:
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. AAAI 2022: 7550-7557 - [c11]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: 491-500 - [c10]Huafeng Liu, Liping Jing:
Amortized Mixing Coupling Processes for Clustering. NeurIPS 2022 - [i1]Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou:
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR abs/2205.11030 (2022) - 2021
- [j4]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: 202:1-202:54 (2021) - [j3]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): 2956-2970 (2021) - [c9]Huafeng Liu, Jiaqi Wang, Liping Jing:
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. CVPR 2021: 15109-15118 - [c8]Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing:
Interpretable Image Recognition by Constructing Transparent Embedding Space. ICCV 2021: 875-884 - 2020
- [c7]Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu:
Deep Generative Recommendation with Maximizing Reciprocal Rank. KSEM (2) 2020: 123-130 - [c6]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: 551-561
2010 – 2019
- 2019
- [j2]Zhicheng Wu, Huafeng Liu, Yanyan Xu, Liping Jing:
Collaboration Matrix Factorization on Rate and Review for Recommendation. J. Database Manag. 30(2): 27-43 (2019) - [j1]Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu:
Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. 37(4): 45:1-45:34 (2019) - [c5]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang:
In2Rec: Influence-based Interpretable Recommendation. CIKM 2019: 1803-1812 - [c4]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu:
Deep generative ranking for personalized recommendation. RecSys 2019: 34-42 - 2018
- [c3]Xingxing Li, Liping Jing, Huafeng Liu:
Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation. PRCV (3) 2018: 328-339 - 2017
- [c2]Xixi Du, Huafeng Liu, Liping Jing:
Additive Co-Clustering with Social Influence for Recommendation. RecSys 2017: 193-200 - 2016
- [c1]Huafeng Liu, Liping Jing, MiaoMiao Cheng:
An Efficient Parallel Trust-Based Recommendation Method on Multicores. HPGDMP@SC 2016: 9-16
Coauthor Index
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