Hongzhi Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Item Recommendation

Ensemble Learning

Information Networks

Top Venues

Knowl. Based Syst.

Publications

Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD (2024)
Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu
Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. SDM (2024)
Hongzhi Liu, Yao Zhu, Zhonghai Wu
Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI (2024)
Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu
Sequential ensemble learning for next item recommendation. Knowl. Based Syst. 277 (2023)
Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) (2023)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Generalized Ambiguity Decomposition for Ranking Ensemble Learning. J. Mach. Learn. Res. 23 (2022)
Yingpeng Du, Hongzhi Liu, Zhonghai Wu
-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. DASFAA (2) (2022)
Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu
Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Bin Fu, Hongzhi Liu, Hui Zhao, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu
Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning. DASFAA (2) (2022)
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. ACL (Findings) (2022)
Bin Fu, Hongzhi Liu, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu
Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. DASFAA (2) (2021)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
Relation-Aware Neighborhood Matching Model for Entity Alignment. AAAI (2021)
Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
IFSpard: An Information Fusion-based Framework for Spam Review Detection. WWW (2021)
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 (2020)
Bin Fu, Hongzhi Liu, Yang Song, Tao Zhang, Zhonghai Wu
Generalized Collaborative Personalized Ranking for Recommendation. APWeb/WAIM (1) (2020)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
Relation-Aware Neighborhood Matching Model for Entity Alignment. CoRR (2020)
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. INTERSPEECH (2019)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. CoRR (2019)
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang
Data-Anonymous Encoding for Text-to-SQL Generation. EMNLP/IJCNLP (1) (2019)
Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI (2019)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognit. 96 (2019)
Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu
Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. ASRU (2019)
Hongzhi Liu, Zhengshen Jiang, Yang Song, Tao Zhang, Zhonghai Wu
User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowl. Based Syst. 181 (2019)
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 (2019)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. EMNLP/IJCNLP (1) (2019)
Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu
Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. PRICAI (1) (2018)
Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. PRICAI (2018)
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang
Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. WSDM (2018)
Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. ICDM (2018)
Hongzhi Liu, Zhonghai Wu, Xing Zhang
CPLR: Collaborative pairwise learning to rank for personalized recommendation. Knowl. Based Syst. 148 (2018)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Collaborative Probability Metric Learning. APWeb/WAIM (1) (2018)
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. AAAI (2017)
Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu
D-FS: A Novel Integration Method of Discretization and Feature Selection. ISPAN-FCST-ISCC (2017)
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) (2017)
Yang Luo, Qixun Zhang, Qingni Shen, Hongzhi Liu, Zhonghai Wu
Android Multi-Level System Permission Management Approach. CoRR (2017)
Shuxia Wang, Yuwei Qi, Bin Fu, Hongzhi Liu
Credit Risk Evaluation Based on Text Analysis. Int. J. Cogn. Informatics Nat. Intell. 10 (1) (2016)
Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bruce S. Kristal
Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm. WI (2016)
Hongzhi Liu, Bin Fu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu
A feature selection framework based on supervised data clustering. ICCI*CC (2016)
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu
A Novel Bayesian Ensemble Pruning Method. ICDM Workshops (2016)
Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu
An information-theoretic feature selection method based on estimation of Markov blanket. ICCI*CC (2015)
Hongzhi Liu, Zhonghai Wu, Xing Zhang
Feature Selection Based on Data Clustering. ICIC (1) (2015)
Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu
A skeleton pruning algorithm based on information fusion. Pattern Recognit. Lett. 34 (10) (2013)
Hongzhi Liu, Zhonghai Wu, D. Frank Hsu
Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity. AINA (2012)
Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bradley S. Peterson, Dongrong Xu
On the generation and pruning of skeletons using generalized Voronoi diagrams. Pattern Recognit. Lett. 33 (16) (2012)
Hongzhi Liu, Zhonghai Wu, D. Frank Hsu
Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function. CSE (2011)
Cameron McMunn-Coffran, Elena Paolercio, Hongzhi Liu, Roger Tsai, D. Frank Hsu
Joint decision making in visual cognition using Combinatorial Fusion Analysis. IEEE ICCI*CC (2011)