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Li-Zhen Cui
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Li-Zhen Cui 0001
(aka: Li-zhen Cui 0001, Lizhen Cui 0001) — Shandong University, School of Software, Jinan, China (and 2 more) - Li-Zhen Cui 0002
(aka: Lizhen Cui 0002) — University of Chinese Academy of Sciences (UCAS), College of Life Sciences, Beijing, China (and 1 more)
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2020 – today
- 2026
[j12]Deyu Zhou, Yuwei Guo, Xudong Lu, Linhao Zhang, Wei Gio, Lizhen Cui:
Measurement and Network Analysis for the Data Service Market Based on Heterogeneous Multi-Agent Modeling. Int. J. Crowd Sci. 10(2): 67-77 (2026)
[j11]Mingcong Dang
, Shengling Geng
, Yonghui Xu, Fubo Wang, Lizhen Cui:
SA-RAG: Structured and adaptive retrieval-augmented generation for multi-hop question answering. Neural Networks 204: 109201 (2026)
[c37]Yuntao Du, Yiming Wang, Renshuo Yuan, Jincheng Yue, Yijing Chen, Yue Fan, Bo Zhang, Qian Li, Lizhen Cui:
VKG-QA: Visual Knowledge Graph-based Question Answer for Large Multimodal Models. CVPR 2026: 41213-41223
[c36]Junru Song, Yimeng Hu, Yijing Chen, Huining Li, Qian Li, Lizhen Cui, Yuntao Du:
Delineating Knowledge Boundaries for Honest Large Vision-Language Models. ECCV (67) 2026: 36-52
[i30]Ao Li, Jinghui Zhang, Luyu Li, Yuxiang Duan, Lang Gao, Mingcai Chen, Weijun Qin, Shaopeng Li
, Fengxian Ji, Ning Liu, Lizhen Cui, Xiuying Chen, Yuntao Du:
M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities? CoRR abs/2601.02854 (2026)
[i29]Shuyue Wei, Wantong Chen, Tongyu Wei, Chen Gong, Yongxin Tong, Lizhen Cui:
GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning. CoRR abs/2601.19745 (2026)
[i28]Linhao Zhang, Tong Xia, Jinghua Piao, Lizhen Cui, Yong Li:
PaperRepro: Automated Computational Reproducibility Assessment for Social Science Papers. CoRR abs/2603.00058 (2026)
[i27]Junru Song, Yimeng Hu, Yijing Chen, Huining Li, Qian Li, Lizhen Cui, Yuntao Du:
Delineating Knowledge Boundaries for Honest Large Vision-Language Models. CoRR abs/2604.26419 (2026)
[i26]Deyu Zhou, Yuwei Guo, Xudong Lu, Linhao Zhang, Wei Guo, Lizhen Cui:
Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market. CoRR abs/2605.27433 (2026)
[i25]Yibowen Zhao, Yinan Zhang, Ning Liu, Lizhen Cui, Chunyan Miao:
Bringing GRACE to Recommendation: Fine-Tuning for Sustainable and Accurate Personalization. CoRR abs/2607.22341 (2026)- 2025
[c35]Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. AAAI 2025: 24768-24776
[c34]Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao
, Chen Zhang, Lizhen Cui:
Exploring Intrinsic Alignments Within Text Corpus. AAAI 2025: 27455-27463
[c33]Linhao Zhang, Daoguang Zan, Quanshun Yang, Zhirong Huang, Dong Chen, Bo Shen, Tianyu Liu, Yongshun Gong, Pengjie Huang, Xudong Lu, Guangtai Liang, Lizhen Cui, Qianxiang Wang:
CodeV: Issue Resolving with Visual Data. ACL (Findings) 2025: 7350-7361
[c32]Xiaohu Zhu, Qian Li, Lizhen Cui, Yuntao Du:
Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation. EMNLP (Findings) 2025: 3545-3559
[i24]Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du:
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR abs/2505.19509 (2025)
[i23]Xiaoxiao Cui, Yiran Li, Kai He, Shanzhi Jiang, Mengli Xue, Wentao Li, Junhong Leng, Zhi Liu, Lizhen Cui, Shuo Li
:
Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition. CoRR abs/2508.08069 (2025)
[i22]Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui:
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models. CoRR abs/2511.02650 (2025)- 2024
[j10]Tong Ding
, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan:
IoV environment exploring coordination: A federated learning approach. Digit. Commun. Networks 10(1): 135-141 (2024)
[c31]Zhixiang Su, Di Wang
, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. AAAI 2024: 9011-9018
[c30]Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 2024: 714-729
[c29]Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui:
Towards Efficient Auction Design with ROI Constraints. AAMAS 2024: 1818-1826
[i21]Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR abs/2403.16443 (2024)
[i20]Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models. CoRR abs/2409.03155 (2024)
[i19]Xiaohu Zhu, Qian Li, Lizhen Cui, Yongkang Liu:
Large Language Model Enhanced Text-to-SQL Generation: A Survey. CoRR abs/2410.06011 (2024)
[i18]Haiyang Jiang, Tong Chen
, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui:
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. CoRR abs/2412.05534 (2024)
[i17]Linhao Zhang, Daoguang Zan, Quanshun Yang, Zhirong Huang, Dong Chen, Bo Shen, Tianyu Liu, Yongshun Gong, Pengjie Huang, Xudong Lu, Guangtai Liang, Lizhen Cui, Qianxiang Wang:
CodeV: Issue Resolving with Visual Data. CoRR abs/2412.17315 (2024)- 2023
[c28]Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. AAAI 2023: 5789-5796
[c27]Zhixiang Su, Di Wang
, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540
[i16]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. CoRR abs/2301.01664 (2023)
[i15]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. CoRR abs/2302.00907 (2023)
[i14]Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui:
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder. CoRR abs/2303.11339 (2023)
[i13]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. CoRR abs/2312.13596 (2023)- 2022
[j9]Wei Guo
, Lanju Kong
, Xudong Lu, Lizhen Cui:
An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling. Symmetry 14(10): 2037 (2022)
[j8]Jingfeng Zhang
, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama:
NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. 2022 (2022)
[c26]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. EMNLP (Findings) 2022: 3395-3407
[i12]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen
, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022)
[i11]Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. CoRR abs/2211.16251 (2022)- 2021
[j7]Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu, Shipeng Wang:
Behavioral data assists decisions: exploring the mental representation of digital-self. Int. J. Crowd Sci. 5(2): 185-203 (2021)
[j6]Lizhen Cui, Jian Cao
, Zhulin An, Yong Yang, Qianqian Guo:
Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks. Int. J. Distributed Sens. Networks 17(7): 155014772110363 (2021)
[j5]Yimin Xiao
, Haiyong Luo
, Fang Zhao
, Fan Wu
, Xile Gao
, Qu Wang
, Lizhen Cui:
Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System. IEEE Trans. Veh. Technol. 70(11): 11404-11418 (2021)
[c25]Xin Xia
, Hongzhi Yin
, Junliang Yu
, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511
[i10]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR abs/2105.08908 (2021)
[i9]Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama:
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? CoRR abs/2105.14676 (2021)
[i8]Shijie Zhang, Hongzhi Yin, Tong Chen
, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021)
[i7]Junliang Yu
, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen:
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR abs/2112.08679 (2021)- 2020
[j4]Ye Jin, Lizhen Cui:
Discovering Influential Positions in RFID-Based Indoor Tracking Data. Inf. 11(6): 330 (2020)
[c24]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. ICML 2020: 11278-11287
[i6]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli
:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. CoRR abs/2002.11242 (2020)
[i5]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR abs/2004.02340 (2020)
[i4]Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao:
Commonsense knowledge adversarial dataset that challenges ELECTRA. CoRR abs/2010.13049 (2020)
[i3]Xin Xia, Hongzhi Yin, Junliang Yu
, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR abs/2012.06852 (2020)
2010 – 2019
- 2019
[j3]Xudong Lu, Shipeng Wang
, Fengjian Kang, Shijun Liu, Hui Li, Xiangzhen Xu, Lizhen Cui:
An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models. Int. J. Crowd Sci. 3(3): 333-347 (2019)
[i2]Yong Liu, Yinan Zhang
, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/1903.07826 (2019)- 2018
[j2]Lizhen Cui, Xiangzhen Xu, Shijun Liu, Hui Li, Zhiqi Liu:
TPGraph: a hospital readmission prediction method based on temporal phenotype graphs. Int. J. Data Min. Bioinform. 20(3): 247-266 (2018)
[c23]Na Liu, Jiwei Huang, Lizhen Cui:
A Framework for Online Process Concept Drift Detection from Event Streams. SCC 2018: 105-112
[c22]Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan:
Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. CSCWD 2018: 353-358- 2017
[j1]Jiaqi Lu, Shijun Liu, Lizhen Cui, Li Pan, Lei Wu:
Crowd wisdom drives intelligent manufacturing. Int. J. Crowd Sci. 1(1): 39-47 (2017)
[c21]Xiulin Li
, Li Pan, Jiwei Huang, Shijun Liu, Yuliang Shi, Li-zhen Cui, Calton Pu:
Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems. ICDCS 2017: 1378-1388
[c20]Shuo Zhang, Dong Yuan, Li Pan, Shijun Liu, Lizhen Cui, Xiangxu Meng:
Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing. ICWS 2017: 130-137- 2016
[c19]Wei He, Hui Li, Lizhen Cui, Shuoyan Lu:
Maximizing the Availability of Process Services in Mobile Computing Environments. SCC 2016: 483-490
[c18]Changyuan Wang, Zongfei Lu, Yang Liu, Shanqing Guo, Xin-Shun Xu, Shijun Liu, Li-zhen Cui:
SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale. COMPSAC 2016: 608-613
[i1]Dong Yuan, Li-zhen Cui, Xiao Liu, Erjiang Fu, Yun Yang:
A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud. CoRR abs/1601.07028 (2016)- 2015
[c17]Shuangshuang Guo, Lizhen Cui, Shijun Liu, Calton Pu:
Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services. SCC 2015: 750-753- 2014
[c16]Huihui Cai, Li-zhen Cui, Yuliang Shi, Lanju Kong, Zhongmin Yan:
Multi-tenant Service Composition Based on Granularity Computing. IEEE SCC 2014: 669-676
[c15]Dong Yuan
, Lizhen Cui, Xiao Liu
:
Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art. SKG 2014: 21-28- 2013
[c14]Dong Yuan
, Xiao Liu
, Li-zhen Cui, Tiantian Zhang, Wenhao Li
, Dahai Cao, Yun Yang:
An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud. e-Science 2013: 285-292- 2012
[c13]Tiantian Zhang, Yuliang Shi, Meng Xu, Li-zhen Cui:
A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud. CGC 2012: 290-295
[c12]Li-zhen Cui, Jian Li, Yongqing Zheng:
A Dynamic Web Service Composition Method Based on Viterbi Algorithm. ICWS 2012: 267-271
[c11]Yongqing Zheng, Jinshan Pang, Jian Li, Li-zhen Cui:
Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications. IPDPS Workshops 2012: 2320-2327- 2011
[c10]Li-zhen Cui, Zongmin Shang, Yuliang Shi:
A Transaction Management Model Based on Compensation Planning Graph for Web Services Composition. ICWS 2011: 275-282
[c9]Yuliang Shi, Kun Zhang, Bing Liu, Li-zhen Cui:
A New QoS Prediction Approach Based on User Clustering and Regression Algorithms. ICWS 2011: 726-727- 2010
[c8]Wei He, Lixin Du, Haiyang Wang, Li-zhen Cui:
A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network. ICEE 2010: 238-241
[c7]Wei He, Yongqing Zheng, Li-zhen Cui:
An efficient service search strategy in decentralized e-business environments. NCM 2010: 118-122
2000 – 2009
- 2009
[c6]Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi, Ji Bian:
A Data-Intensive Workflow Scheduling Algorithm for Grid Computing. ChinaGrid 2009: 110-115
[c5]Xianzhi Huang, Li-zhen Cui, Haiyang Wang, Wenjing Cui:
Towards a Decentralized Cooperative BRMS for Service Collaborative Enterprise. CSCWD 2009: 66-71
[c4]Li-zhen Cui, Meng Xu, Haiyang Wang:
A data-intensive workflow scheduling algorithm for large-scale cooperative work platform. CSCWD 2009: 486-491
[c3]Shun Han, Haiyang Wang, Li-zhen Cui:
A User Experience-Oriented Service Discovery Method with Clustering Technology. ISCID (2) 2009: 64-67
[c2]Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi:
A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing. ISPA 2009: 629-634- 2005
[c1]Li-zhen Cui, Haiyang Wang:
Business processes management based on stratified grid. CSCWD (1) 2005: 170-174
Coauthor Index

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last updated on 2026-10-10 21:51 CEST by the dblp team
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