Hongzhi Liu

According to our database, Hongzhi Liu authored at least 47 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Large Language Model with Graph Convolution for Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun

CoRR, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.

Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sequential ensemble learning for next item recommendation.

Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu

Knowl. Based Syst., October, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.

Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu

CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.

Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang

CoRR, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.

Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.

Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering.

Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu

ACM Trans. Archit. Code Optim., 2022

Generalized Ambiguity Decomposition for Ranking Ensemble Learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

J. Mach. Learn. Res., 2022

Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning.

Bin Fu, Hongzhi Liu, Hui Zhao, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2022

M³-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications.

Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems.

Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

IFSpard: An Information Fusion-based Framework for Spam Review Detection.

Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit.

Bin Fu, Hongzhi Liu, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2021

Relation-Aware Neighborhood Matching Model for Entity Alignment.

Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning.

Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu

CoRR, 2020

Generalized Collaborative Personalized Ranking for Recommendation.

Bin Fu, Hongzhi Liu, Yang Song, Tao Zhang, Zhonghai Wu

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

AEM: Attentional Ensemble Model for personalized classifier weight learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Pattern Recognit., 2019

User preference modeling based on meta paths and diversity regularization in heterogeneous information networks.

Hongzhi Liu, Zhengshen Jiang, Yang Song, Tao Zhang, Zhonghai Wu

Knowl. Based Syst., 2019

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion.

Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu

Proceedings of the Interspeech 2019, 2019

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation.

Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion.

Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Data-Anonymous Encoding for Text-to-SQL Generation.

Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation.

Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

CPLR: Collaborative pairwise learning to rank for personalized recommendation.

Hongzhi Liu, Zhonghai Wu, Xing Zhang

Knowl. Based Syst., 2018

Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking.

Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation.

Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Online Personalized Next-Item Recommendation via Long Short Term Preference Learning.

Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Collaborative Probability Metric Learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

Feature Engineering for Credit Risk Evaluation in Online P2P Lending.

Shuxia Wang, Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu

Int. J. Softw. Sci. Comput. Intell., 2017

Android Multi-Level System Permission Management Approach.

Yang Luo, Qixun Zhang, Qingni Shen, Hongzhi Liu, Zhonghai Wu

CoRR, 2017

D-FS: A Novel Integration Method of Discretization and Feature Selection.

Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu

Proceedings of the 14th International Symposium on Pervasive Systems, 2017

Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning.

Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Credit Risk Evaluation Based on Text Analysis.

Shuxia Wang, Yuwei Qi, Bin Fu, Hongzhi Liu

Int. J. Cogn. Informatics Nat. Intell., 2016

Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm.

Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bruce S. Kristal

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

A Novel Bayesian Ensemble Pruning Method.

Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A feature selection framework based on supervised data clustering.

Hongzhi Liu, Bin Fu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu

Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015

Feature Selection Based on Data Clustering.

Hongzhi Liu, Zhonghai Wu, Xing Zhang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

An information-theoretic feature selection method based on estimation of Markov blanket.

Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2013

A skeleton pruning algorithm based on information fusion.

Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu

Pattern Recognit. Lett., 2013

2012

On the generation and pruning of skeletons using generalized Voronoi diagrams.

Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bradley S. Peterson, Dongrong Xu

Pattern Recognit. Lett., 2012

Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity.

Hongzhi Liu, Zhonghai Wu, D. Frank Hsu

Proceedings of the IEEE 26th International Conference on Advanced Information Networking and Applications, 2012

2011

Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function.

Hongzhi Liu, Zhonghai Wu, D. Frank Hsu

Proceedings of the 14th IEEE International Conference on Computational Science and Engineering, 2011

Joint decision making in visual cognition using Combinatorial Fusion Analysis.

Cameron McMunn-Coffran, Elena Paolercio, Hongzhi Liu, Roger Tsai, D. Frank Hsu

Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2011