Hongzhi Liu - RankMe

66 papers A* 9A 3B 4C 1Journal 25Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BH ACM Trans. Intell. Syst. Technol. Zihan Zhang, Hongzhi Liu, Tianqi Sun, Xiaoshuang Guo, Zhonghai Wu
2026	J	`jnl`	BPHD: Enterprise bankruptcy prediction with a hierarchical hypergraph and dual-decision experts. Inf. Sci. Boyuan Ren, Hongrui Guo, Hongzhi Liu, Xudong Tang, Jingming Xue, Zhonghai Wu
2026	A*	`conf`	Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation. AAAI Zihan Zhang, Hongzhi Liu, Xiaoshuang Guo, Tianqi Sun, Zhonghai Wu
2025	J	`jnl`	Adaptive Ensemble Learning With Category-Aware Attention and Local Contrastive Loss. IEEE Trans. Circuits Syst. Video Technol. Hongrui Guo, Tianqi Sun, Hongzhi Liu, Zhonghai Wu
2025	—	`conf`	Collaborative Adaptive Metric Learning for Personalized Recommendation. ICIC (8) Xukun Zhang, Zhaoyu Zhou, Yang Yu, Hongzhi Liu
2025	—	`conf`	Enterprise Bankruptcy Prediction with Meta-path Denoising and Capsule Network Modeling. DASFAA (3) Hongrui Guo, Boyuan Ren, Hongzhi Liu, Tianqi Sun, Zhonghai Wu
2025	—	`conf`	HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation. DASFAA (5) Zihan Zhang, Hongzhi Liu, Tianqi Sun, Xiaoshuang Guo, Zhonghai Wu
2025	—	`conf`	Heterogeneous Knowledge and Global-Local Structure Integration Framework for Drug Repositioning. BIBM Xukun Zhang, Hongzhi Liu, Zhonghai Wu
2025	—	`conf`	Learning to Rank for Multi-objective Compilation Optimization. ICIC (8) Xie Wu, Jie Luo, Yang Yu, Hongzhi Liu
2025	J	`jnl`	Quasi-Metric Learning for Bilateral Person-Job Fit. IEEE Trans. Pattern Anal. Mach. Intell. Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu
2024	—	`conf`	Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. APWeb/WAIM (1) Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu
2024	A*	`conf`	Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
2024	A*	`conf`	Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
2024	A	`conf`	Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation. SDM Tianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu, Zhonghai Wu
2024	J	`jnl`	Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Hongzhi Liu, Yao Zhu, Zhonghai Wu
2024	J	`jnl`	Large Language Model with Graph Convolution for Recommendation. CoRR Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun
2023	A*	`conf`	Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
2023	J	`jnl`	Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. CoRR Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu
2023	J	`jnl`	Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
2023	—	`conf`	Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
2023	J	`jnl`	Sequential ensemble learning for next item recommendation. Knowl. Based Syst. Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu
2022	B	`conf`	AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. COLING Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu
2022	J	`jnl`	AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. CoRR Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu
2022	J	`jnl`	Generalized Ambiguity Decomposition for Ranking Ensemble Learning. J. Mach. Learn. Res. Hongzhi Liu, Yingpeng Du, Zhonghai Wu
2022	J	`jnl`	Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering. ACM Trans. Archit. Code Optim. Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu
2022	—	`conf`	M DASFAA (2) Yingpeng Du, Hongzhi Liu, Zhonghai Wu
2022	—	`conf`	Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning. DASFAA (2) Bin Fu, Hongzhi Liu, Hui Zhao, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu
2022	—	`conf`	Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. ACL (Findings) Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao
2021	—	`conf`	Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. DASFAA (2) Bin Fu, Hongzhi Liu, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu
2021	A*	`conf`	IFSpard: An Information Fusion-based Framework for Spam Review Detection. WWW Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
2021	—	`conf`	Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. ECML/PKDD (2) Yingpeng Du, Hongzhi Liu, Zhonghai Wu
2021	A*	`conf`	Relation-Aware Neighborhood Matching Model for Entity Alignment. AAAI Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
2021	J	`jnl`	Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems. CoRR Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao
2020	—	`conf`	Generalized Collaborative Personalized Ranking for Recommendation. APWeb/WAIM (1) Bin Fu, Hongzhi Liu, Yang Song, Tao Zhang, Zhonghai Wu
2020	J	`jnl`	LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. CoRR Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu
2020	J	`jnl`	Relation-Aware Neighborhood Matching Model for Entity Alignment. CoRR Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
2019	J	`jnl`	AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognit. Hongzhi Liu, Yingpeng Du, Zhonghai Wu
2019	—	`conf`	Data-Anonymous Encoding for Text-to-SQL Generation. EMNLP/IJCNLP (1) Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang
2019	C	`conf`	Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. ASRU Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu
2019	—	`conf`	Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. EMNLP/IJCNLP (1) Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang
2019	J	`jnl`	Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. CoRR Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang
2019	A	`conf`	Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. INTERSPEECH Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu
2019	J	`jnl`	Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. CoRR Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang
2019	J	`jnl`	User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowl. Based Syst. Hongzhi Liu, Zhengshen Jiang, Yang Song, Tao Zhang, Zhonghai Wu
2018	J	`jnl`	CPLR: Collaborative pairwise learning to rank for personalized recommendation. Knowl. Based Syst. Hongzhi Liu, Zhonghai Wu, Xing Zhang
2018	—	`conf`	Collaborative Probability Metric Learning. APWeb/WAIM (1) Hongzhi Liu, Yingpeng Du, Zhonghai Wu
2018	A*	`conf`	Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. ICDM Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang
2018	—	`conf`	Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. PRICAI (1) Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu
2018	B	`conf`	Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. PRICAI Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
2018	A	`conf`	Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. WSDM Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang
2017	J	`jnl`	Android Multi-Level System Permission Management Approach. CoRR Yang Luo, Qixun Zhang, Qingni Shen, Hongzhi Liu, Zhonghai Wu
2017	—	`conf`	D-FS: A Novel Integration Method of Discretization and Feature Selection. ISPAN-FCST-ISCC Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu
2017	J	`jnl`	Feature Engineering for Credit Risk Evaluation in Online P2P Lending. Int. J. Softw. Sci. Comput. Intell. Shuxia Wang, Bin Fu, Hongzhi Liu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu
2017	A*	`conf`	Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. AAAI Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu
2016	—	`conf`	A Novel Bayesian Ensemble Pruning Method. ICDM Workshops Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu
2016	—	`conf`	A feature selection framework based on supervised data clustering. ICCI*CC Hongzhi Liu, Bin Fu, Zhengshen Jiang, Zhonghai Wu, D. Frank Hsu
2016	J	`jnl`	Credit Risk Evaluation Based on Text Analysis. Int. J. Cogn. Informatics Nat. Intell. Shuxia Wang, Yuwei Qi, Bin Fu, Hongzhi Liu
2016	B	`conf`	Improved Combination of Multiple Retrieval Systems Using a Dynamic Combinatorial Fusion Algorithm. WI Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bruce S. Kristal
2015	—	`conf`	An information-theoretic feature selection method based on estimation of Markov blanket. ICCI*CC Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu
2015	—	`conf`	Feature Selection Based on Data Clustering. ICIC (1) Hongzhi Liu, Zhonghai Wu, Xing Zhang
2013	J	`jnl`	A skeleton pruning algorithm based on information fusion. Pattern Recognit. Lett. Hongzhi Liu, Zhonghai Wu, Xing Zhang, D. Frank Hsu
2012	B	`conf`	Combination of Multiple Retrieval Systems Using Rank-Score Function and Cognitive Diversity. AINA Hongzhi Liu, Zhonghai Wu, D. Frank Hsu
2012	J	`jnl`	On the generation and pruning of skeletons using generalized Voronoi diagrams. Pattern Recognit. Lett. Hongzhi Liu, Zhonghai Wu, D. Frank Hsu, Bradley S. Peterson, Dongrong Xu
2011	—	`conf`	Combining Multiple Retrieval Systems Using Combinatorial Fusion Analysis and Rank-Score Characteristic Function. CSE Hongzhi Liu, Zhonghai Wu, D. Frank Hsu
2011	—	`conf`	Joint decision making in visual cognition using Combinatorial Fusion Analysis. IEEE ICCI*CC Cameron McMunn-Coffran, Elena Paolercio, Hongzhi Liu, Roger Tsai, D. Frank Hsu