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Hongzhi Liu 0001
Person information
- affiliation: Peking University, School of Software and Microelectronics, Beijing, China
Other persons with the same name
- Hongzhi Liu — disambiguation page
- Hongzhi Liu 0002
— Southeast University, School of Computer Science and Engineering, Nanjing, China
- Hongzhi Liu 0003 — Kunming University of Science and Technology, Kunming, China
- Hongzhi Liu 0004
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2020 – today
- 2024
- [j11]Hongzhi Liu
Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2490-2503 (2024) - [c35]Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI 2024: 8363-8371 - [c34]Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu:
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. APWeb/WAIM (1) 2024: 280-294 - [c33]Yingpeng Du
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c32]Tianqi Sun
Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. SDM 2024: 580-588 - [i10]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - 2023
- [j10]Yingpeng Du
Sequential ensemble learning for next item recommendation. Knowl. Based Syst. 277: 110809 (2023) - [c31]Jiaxing Chen, Hongzhi Liu
Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) 2023: 389-405 - [c30]Jiaxing Chen, Hongzhi Liu
Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM 2023: 974-979 - [i9]Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang:
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR abs/2307.10747 (2023) - [i8]Wenxuan Zhang, Hongzhi Liu
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. CoRR abs/2311.03778 (2023) - 2022
- [j9]Hongzhi Liu
Generalized Ambiguity Decomposition for Ranking Ensemble Learning. J. Mach. Learn. Res. 23: 88:1-88:36 (2022) - [j8]Hongzhi Liu
Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering. ACM Trans. Archit. Code Optim. 19(1): 2:1-2:25 (2022) - [c29]Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. ACL (Findings) 2022: 2486-2496 - [c28]Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. COLING 2022: 3042-3053 - [c27]Yingpeng Du, Hongzhi Liu
M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. DASFAA (2) 2022: 19-35 - [c26]Bin Fu, Hongzhi Liu
Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning. DASFAA (2) 2022: 697-705 - [i7]Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu:
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. CoRR abs/2208.12505 (2022) - 2021
- [c25]Yao Zhu
Relation-Aware Neighborhood Matching Model for Entity Alignment. AAAI 2021: 4749-4756 - [c24]Bin Fu, Hongzhi Liu
Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. DASFAA (2) 2021: 359-375 - [c23]Yingpeng Du, Hongzhi Liu
Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. ECML/PKDD (2) 2021: 516-531 - [c22]Yao Zhu
IFSpard: An Information Fusion-based Framework for Spam Review Detection. WWW 2021: 507-517 - [i6]Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao:
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. CoRR abs/2110.08464 (2021) - 2020
- [c21]Bin Fu, Hongzhi Liu
Generalized Collaborative Personalized Ranking for Recommendation. APWeb/WAIM (1) 2020: 517-532 - [i5]Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu:
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. CoRR abs/2004.12817 (2020) - [i4]Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du:
Relation-Aware Neighborhood Matching Model for Entity Alignment. CoRR abs/2012.08128 (2020)
2010 – 2019
- 2019
- [j7]Hongzhi Liu
User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowl. Based Syst. 181 (2019) - [j6]Hongzhi Liu
AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognit. 96 (2019) - [c20]Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu
Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. ASRU 2019: 168-175 - [c19]Yao Zhu
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 2662-2671 - [c18]Zhen Dong, Shizhao Sun, Hongzhi Liu
Data-Anonymous Encoding for Text-to-SQL Generation. EMNLP/IJCNLP (1) 2019: 5404-5413 - [c17]Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang:
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI 2019: 3813-3819 - [c16]Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. INTERSPEECH 2019: 2115-2119 - [i3]Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu:
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. CoRR abs/1904.03446 (2019) - [i2]Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang:
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. CoRR abs/1909.11864 (2019) - 2018
- [j5]Hongzhi Liu
CPLR: Collaborative pairwise learning to rank for personalized recommendation. Knowl. Based Syst. 148: 31-40 (2018) - [c15]Hongzhi Liu
Collaborative Probability Metric Learning. APWeb/WAIM (1) 2018: 198-206 - [c14]Yingpeng Du, Hongzhi Liu
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. ICDM 2018: 109-116 - [c13]Yuanhang Qu, Hongzhi Liu
Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. PRICAI 2018: 455-463 - [c12]Yingpeng Du, Hongzhi Liu
Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. PRICAI (1) 2018: 915-927 - [c11]Zhengshen Jiang, Hongzhi Liu
Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. WSDM 2018: 288-296 - 2017
- [j4]Shuxia Wang, Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu:
Feature Engineering for Credit Risk Evaluation in Online P2P Lending. Int. J. Softw. Sci. Comput. Intell. 9(2): 1-13 (2017) - [c10]Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu:
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. AAAI 2017: 2073-2079 - [c9]Bin Fu, Hongzhi Liu
D-FS: A Novel Integration Method of Discretization and Feature Selection. ISPAN-FCST-ISCC 2017: 6-13 - [i1]Yang Luo, Qixun Zhang, Qingni Shen, Hongzhi Liu, Zhonghai Wu:
Android Multi-Level System Permission Management Approach. CoRR abs/1712.02217 (2017) - 2016
- [j3]Shuxia Wang, Yuwei Qi, Bin Fu, Hongzhi Liu
Credit Risk Evaluation Based on Text Analysis. Int. J. Cogn. Informatics Nat. Intell. 10(1): 1-11 (2016) - [c8]Hongzhi Liu
A feature selection framework based on supervised data clustering. ICCI*CC 2016: 316-321 - [c7]Zhengshen Jiang, Hongzhi Liu
A Novel Bayesian Ensemble Pruning Method. ICDM Workshops 2016: 1205-1212 - [c6]Hongzhi Liu
Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm. WI 2016: 592-596 - 2015
- [c5]Hongzhi Liu
An information-theoretic feature selection method based on estimation of Markov blanket. ICCI*CC 2015: 327-332 - [c4]Hongzhi Liu
Feature Selection Based on Data Clustering. ICIC (1) 2015: 227-236 - 2013
- [j2]Hongzhi Liu
A skeleton pruning algorithm based on information fusion. Pattern Recognit. Lett. 34(10): 1138-1145 (2013) - 2012
- [j1]Hongzhi Liu
On the generation and pruning of skeletons using generalized Voronoi diagrams. Pattern Recognit. Lett. 33(16): 2113-2119 (2012) - [c3]Hongzhi Liu
Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity. AINA 2012: 167-174 - 2011
- [c2]Cameron McMunn-Coffran, Elena Paolercio, Hongzhi Liu
Joint decision making in visual cognition using Combinatorial Fusion Analysis. IEEE ICCI*CC 2011: 254-261 - [c1]Hongzhi Liu
Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function. CSE 2011: 371-378
Coauthor Index
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