Huafeng Liu - RankMe

42 papers A* 14A 5B 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling. AAAI Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing
2026	J	`jnl`	Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling. CoRR Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing
2026	A*	`conf`	MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization. AAAI Hui Li, Huafeng Liu, Yiran Fu, Shuyang Lin, Baoxin Zhang, Deqiang Ouyang, Liping Jing, Jian Yu
2025	—	`conf`	Learning OOD Robust Neural Operator with Risk-Averse Stochastic Optimization. KDD (2) Huafeng Liu, Yiran Fu, Jingyue Shi, Liping Jing, Jian Yu
2025	A*	`conf`	Learning Robust Neural Processes with Risk-Averse Stochastic Optimization. ICML Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin, Jingyue Shi, Deqiang Ouyang, Jian Yu
2025	B	`conf`	SDEFormer: Neural Stochastic Differential Equations for Continuous-Time Transformers in Irregular Time Series Modeling. IJCNN Chong Wang, Huafeng Liu, Liping Jing
2024	A*	`conf`	Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment. ACM Multimedia Jiaqi Wang, Pichao Wang, Yi Feng, Huafeng Liu, Chang Gao, Liping Jing
2024	J	`jnl`	Deep fair clustering with multi-level decorrelation. Inf. Sci. Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu, Weifeng Geng, Gencheng Ye
2024	J	`jnl`	Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. IEEE Trans. Knowl. Data Eng. Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng
2024	J	`jnl`	Learning-based counterfactual explanations for recommendation. Sci. China Inf. Sci. Jingxuan Wen, Huafeng Liu, Liping Jing, Jian Yu
2024	J	`jnl`	Structure-Driven Representation Learning for Deep Clustering. ACM Trans. Knowl. Discov. Data Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu
2024	J	`jnl`	Transparent Embedding Space for Interpretable Image Recognition. IEEE Trans. Circuits Syst. Video Technol. Jiaqi Wang, Huafeng Liu, Liping Jing
2023	J	`jnl`	Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng
2023	A*	`conf`	Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. ACM Multimedia Huafeng Liu, Mingjie Zhou, Liping Jing, Michael K. Ng
2023	A*	`conf`	HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. EMNLP Mingyang Song, Huafeng Liu, Liping Jing
2023	A	`conf`	Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. CIKM Mingyang Song, Huafeng Liu, Liping Jing
2023	—	`conf`	Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information. ACL (Findings) Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing
2023	J	`jnl`	Is ChatGPT A Good Keyphrase Generator? A Preliminary Study. CoRR Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing
2023	A*	`conf`	Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. EMNLP Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing
2023	A	`conf`	Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. CIKM Jingxuan Wen, Huafeng Liu, Liping Jing
2023	A*	`conf`	Neural Processes with Stability. NeurIPS Huafeng Liu, Liping Jing, Jian Yu
2023	J	`jnl`	Textual tag recommendation with multi-tag topical attention. Neurocomputing Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu
2023	J	`jnl`	Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. Lin Xiao, Pengyu Xu, Mingyang Song, Huafeng Liu, Liping Jing, Xiangliang Zhang
2022	A*	`conf`	Amortized Mixing Coupling Processes for Clustering. NeurIPS Huafeng Liu, Liping Jing
2022	J	`jnl`	Bayesian Additive Matrix Approximation for Social Recommendation. ACM Trans. Knowl. Discov. Data Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng
2022	A*	`conf`	Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. AAAI Huafeng Liu, Tong Zhou, Jiaqi Wang
2022	J	`jnl`	HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou
2022	A*	`conf`	Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. ACM Multimedia Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng
2022	J	`jnl`	Leveraging implicit social structures for recommendation via a Bayesian generative model. Sci. China Inf. Sci. Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu
2021	A*	`conf`	Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. CVPR Huafeng Liu, Jiaqi Wang, Liping Jing
2021	J	`jnl`	Interpretable Deep Generative Recommendation Models. J. Mach. Learn. Res. Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng
2021	A*	`conf`	Interpretable Image Recognition by Constructing Transparent Embedding Space. ICCV Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing
2021	J	`jnl`	Social Recommendation With Learning Personal and Social Latent Factors. IEEE Trans. Knowl. Data Eng. Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng
2020	—	`conf`	Deep Generative Recommendation with Maximizing Reciprocal Rank. KSEM (2) Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu
2020	A*	`conf`	Deep Global and Local Generative Model for Recommendation. WWW Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu
2019	J	`jnl`	Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu
2019	J	`jnl`	Collaboration Matrix Factorization on Rate and Review for Recommendation. J. Database Manag. Zhicheng Wu, Huafeng Liu, Yanyan Xu, Liping Jing
2019	A	`conf`	Deep generative ranking for personalized recommendation. RecSys Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu
2019	A	`conf`	In2Rec: Influence-based Interpretable Recommendation. CIKM Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang
2018	—	`conf`	Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation. PRCV (3) Xingxing Li, Liping Jing, Huafeng Liu
2017	A	`conf`	Additive Co-Clustering with Social Influence for Recommendation. RecSys Xixi Du, Huafeng Liu, Liping Jing
2016	—	`conf`	An Efficient Parallel Trust-Based Recommendation Method on Multicores. HPGDMP@SC Huafeng Liu, Liping Jing, MiaoMiao Cheng