Joint decision making in visual cognition using Combinatorial Fusion Analysis. - Cameron McMunn-Coffran; Elena Paolercio; Hongzhi Liu 001; Roger Tsai; D. Frank Hsu (IEEE ICCI*CC, 2011)

Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function. - Hongzhi Liu 001; Zhonghai Wu; D. Frank Hsu (CSE, 2011)

Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity. - Hongzhi Liu 001; Zhonghai Wu; D. Frank Hsu (AINA, 2012)

On the generation and pruning of skeletons using generalized Voronoi diagrams. - Hongzhi Liu 001; Zhonghai Wu; D. Frank Hsu; Bradley S. Peterson; Dongrong Xu (Pattern Recognit. Lett., 2012)

A skeleton pruning algorithm based on information fusion. - Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002; D. Frank Hsu (Pattern Recognit. Lett., 2013)

An information-theoretic feature selection method based on estimation of Markov blanket. - Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002; D. Frank Hsu (ICCI*CC, 2015)

Feature Selection Based on Data Clustering. - Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002 (ICIC (1), 2015)

A feature selection framework based on supervised data clustering. - Hongzhi Liu 001; Bin Fu; Zhengshen Jiang; Zhonghai Wu; D. Frank Hsu (ICCI*CC, 2016)

A Novel Bayesian Ensemble Pruning Method. - Zhengshen Jiang; Hongzhi Liu 001; Bin Fu; Zhonghai Wu (ICDM Workshops, 2016)

Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm. - Hongzhi Liu 001; Zhonghai Wu; D. Frank Hsu; Bruce S. Kristal (WI, 2016)

Credit Risk Evaluation Based on Text Analysis. - Shuxia Wang; Yuwei Qi; Bin Fu; Hongzhi Liu 001 (Int. J. Cogn. Informatics Nat. Intell., 2016)

Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. - Zhengshen Jiang; Hongzhi Liu 001; Bin Fu; Zhonghai Wu (AAAI, 2017)

D-FS: A Novel Integration Method of Discretization and Feature Selection. - Bin Fu; Hongzhi Liu 001; Zhengshen Jiang; Zhonghai Wu; D. Frank Hsu (ISPAN-FCST-ISCC, 2017)

Android Multi-Level System Permission Management Approach. - Yang Luo; Qixun Zhang; Qingni Shen; Hongzhi Liu 001; Zhonghai Wu (CoRR, 2017)

Feature Engineering for Credit Risk Evaluation in Online P2P Lending. - Shuxia Wang; Bin Fu; Hongzhi Liu 001; Zhengshen Jiang; Zhonghai Wu; D. Frank Hsu (Int. J. Softw. Sci. Comput. Intell., 2017)

Collaborative Probability Metric Learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (APWeb/WAIM (1), 2018)

Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002 (ICDM, 2018)

Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. - Yingpeng Du; Hongzhi Liu 001; Yuanhang Qu; Zhonghai Wu (PRICAI (1), 2018)

Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. - Yuanhang Qu; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (PRICAI, 2018)

Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. - Zhengshen Jiang; Hongzhi Liu 001; Bin Fu; Zhonghai Wu; Tao Zhang 070 (WSDM, 2018)

CPLR: Collaborative pairwise learning to rank for personalized recommendation. - Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002 (Knowl. Based Syst., 2018)

Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. - Hao Sun; Xu Tan 003; Jun-Wei Gan; Sheng Zhao; Dongxu Han; Hongzhi Liu 001; Tao Qin 001; Tie-Yan Liu (ASRU, 2019)

Data-Anonymous Encoding for Text-to-SQL Generation. - Zhen Dong; Shizhao Sun; Hongzhi Liu 001; Jian-Guang Lou; Dongmei Zhang 001 (EMNLP/IJCNLP (1), 2019)

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. - Yao Zhu 002; Hongzhi Liu 001; Zhonghai Wu; Yang Song 021; Tao Zhang 070 (EMNLP/IJCNLP (1), 2019)

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. - Zekai Wang; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu; Xing Zhang 002 (IJCAI, 2019)

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. - Hao Sun; Xu Tan 003; Jun-Wei Gan; Hongzhi Liu 001; Sheng Zhao; Tao Qin 001; Tie-Yan Liu (INTERSPEECH, 2019)

User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. - Hongzhi Liu 001; Zhengshen Jiang; Yang Song 021; Tao Zhang 070; Zhonghai Wu (Knowl. Based Syst., 2019)

AEM: Attentional Ensemble Model for personalized classifier weight learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (Pattern Recognit., 2019)

Generalized Collaborative Personalized Ranking for Recommendation. - Bin Fu; Hongzhi Liu 001; Yang Song 021; Tao Zhang 070; Zhonghai Wu (APWeb/WAIM (1), 2020)

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. - Kaitao Song; Hao Sun; Xu Tan 003; Tao Qin 001; Jianfeng Lu 003; Hongzhi Liu 001; Tie-Yan Liu (CoRR, 2020)

Relation-Aware Neighborhood Matching Model for Entity Alignment. - Yao Zhu 002; Hongzhi Liu 001; Zhonghai Wu; Yingpeng Du (AAAI, 2021)

Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. - Bin Fu; Hongzhi Liu 001; Yao Zhu 002; Yang Song 021; Tao Zhang 070; Zhonghai Wu (DASFAA (2), 2021)

Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu (ECML/PKDD (2), 2021)

IFSpard: An Information Fusion-based Framework for Spam Review Detection. - Yao Zhu 002; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (WWW, 2021)

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. - Zhongli Li; Wenxuan Zhang 002; Chao Yan; Qingyu Zhou; Chao Li 063; Hongzhi Liu 001; Yunbo Cao (ACL (Findings), 2022)

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. - Yusen Zhang; Zhongli Li; Qingyu Zhou; Ziyi Liu; Chao Li 063; Mina Ma; Yunbo Cao; Hongzhi Liu 001 (COLING, 2022)

M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu (DASFAA (2), 2022)

Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning. - Bin Fu; Hongzhi Liu 001; Hui Zhao; Yao Zhu 002; Yang Song 021; Tao Zhang 070; Zhonghai Wu (DASFAA (2), 2022)

Generalized Ambiguity Decomposition for Ranking Ensemble Learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (J. Mach. Learn. Res., 2022)

Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering. - Hongzhi Liu 001; Jie Luo; Ying Li 012; Zhonghai Wu (ACM Trans. Archit. Code Optim., 2022)

Sequential Hypergraph Convolution Network for Next Item Recommendation. - Jiaxing Chen; Hongzhi Liu 001; Yingpeng Du; Zekai Wang; Yang Song 021; Zhonghai Wu (DASFAA (2), 2023)

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. - Jiaxing Chen; Hongzhi Liu 001; Hongrui Guo; Yingpeng Du; Zekai Wang; Yang Song 021; Zhonghai Wu (ICDM, 2023)

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Hongzhi Liu 001; Yang Song 021; Hengshu Zhu; Jie Zhang 002 (CoRR, 2023)

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. - Wenxuan Zhang 002; Hongzhi Liu 001; Yingpeng Du; Chen Zhu 003; Yang Song 021; Hengshu Zhu; Zhonghai Wu (CoRR, 2023)

Sequential ensemble learning for next item recommendation. - Yingpeng Du; Hongzhi Liu 001; Yang Song 021; Zekai Wang; Zhonghai Wu (Knowl. Based Syst., 2023)

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Xiaopei Wang; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Jie Zhang 002 (AAAI, 2024)

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. - Wenxuan Zhang 002; Hongzhi Liu 001; Zhijin Dong; Yingpeng Du; Chen Zhu 003; Yang Song 021; Hengshu Zhu; Zhonghai Wu (APWeb/WAIM (1), 2024)

Disentangled Multi-interest Representation Learning for Sequential Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Yining Ma 001; Hongzhi Liu 001; Jie Zhang 002 (KDD, 2024)

Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. - Tianqi Sun; Hongrui Guo; Zihan Zhang; Hongzhi Liu 001; Zhonghai Wu (SDM, 2024)

Large Language Model with Graph Convolution for Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Haoyan Chua; Hongzhi Liu 001; Zhonghai Wu; Yining Ma 001; Jie Zhang 002; Youchen Sun (CoRR, 2024)

Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. - Hongzhi Liu 001; Yao Zhu 002; Zhonghai Wu (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive Ensemble Learning With Category-Aware Attention and Local Contrastive Loss. - Hongrui Guo; Tianqi Sun; Hongzhi Liu 001; Zhonghai Wu (IEEE Trans. Circuits Syst. Video Technol., 2025)

Quasi-Metric Learning for Bilateral Person-Job Fit. - Yingpeng Du; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Zhi Zheng 008; Zhonghai Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)