Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDLi-zhen Cui
Lizhen Cui
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j64]Zilin Wang, Lizhen Cui, Wei Guo, Lei Zhao, Xin Yuan, Xiaosong Gu, Weizhong Tang, Lingguo Bu, Weiming Huang:
A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups. Adv. Eng. Informatics 51: 101504 (2022)- [j63]Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui:
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23(2) (2022) - [j62]Yanxiang Wang, Xian Zhang, Yiran Shen
, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen:
Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3436-3449 (2022) - [j61]Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:
Auxiliary Learning for Relation Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 182-191 (2022) - [j60]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j59]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - [c178]Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu:
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) 2022: 117-132 - [c177]Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui:
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) 2022: 315-322 - [c176]Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu:
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) 2022: 407-422 - [c175]Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:
Reachability Labeling for Distributed Graphs. ICDE 2022: 686-698 - [c174]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405 - [c173]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR 2022: 1294-1303 - [c172]Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao:
Efficient Reachability Query with Extreme Labeling Filter. WSDM 2022: 966-975 - [c171]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [c170]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [i29]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i28]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR abs/2205.14837 (2022) - 2021
- [j58]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
Optimizing Smart Grid Operations from the Demand Side. AI Mag. 42(2): 28-37 (2021) - [j57]Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei:
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22(4) (2021) - [j56]Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan:
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22(4) (2021) - [j55]Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei:
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22(6) (2021) - [j54]Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei:
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37(24): 4603-4610 (2021) - [j53]Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei:
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37(24): 4684-4693 (2021) - [j52]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su:
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Sci. Eng. 6(3): 294-309 (2021) - [j51]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) - [j50]Xiangwei Zheng, Xiaofeng Liu, Yuang Zhang, Lizhen Cui, Xiaomei Yu:
A portable HCI system-oriented EEG feature extraction and channel selection for emotion recognition. Int. J. Intell. Syst. 36(1): 152-176 (2021) - [j49]Jing Li, Ming Zhang, Ming Zhu, Lizhen Cui, Yuhong Yan, Bowen Song:
A hybrid pre-joined service network in graph database and memory for service composition. Int. J. Web Grid Serv. 17(3): 179-200 (2021) - [j48]Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang:
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581: 136-154 (2021) - [j47]Xudong Lu, Lizhen Cui, Zhenchao Sun, Yuening Zhu:
ProAID: path-based reasoning for self-attentional disease prediction. Knowl. Inf. Syst. 63(12): 3087-3101 (2021) - [j46]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - [j45]Tong Li, Lizhen Cui, Zhihong Xu, Ronghai Hu, Pawan K. Joshi, Xiufang Song, Li Tang, Anquan Xia, Yanfen Wang, Da Guo, Jiapei Zhu, Yanbin Hao, Lan Song, Xiaoyong Cui:
Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020. Remote. Sens. 13(7): 1279 (2021) - [j44]Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 818-826 (2021) - [j43]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021) - [j42]Guangrong Zhao, Bowen Du, Yiran Shen, Zhenyu Lao, Lizhen Cui, Hongkai Wen:
LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things. ACM Trans. Sens. Networks 17(3): 26:1-26:25 (2021) - [j41]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) - [c169]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 - [c168]Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM 2021: 779-784 - [c167]Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao:
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. BIBM 2021: 980-987 - [c166]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c165]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM 2021: 2180-2190 - [c164]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820 - [c163]Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li:
Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. DASFAA (2) 2021: 692-700 - [c162]Jun Lin, Bei Li, Lizhen Cui, Chunyan Miao:
Practices of Using Blockchain Technology in e-Learning. ICCSE 2021: 55-60 - [c161]Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin:
Credit Default Prediction via Explainable Ensemble Learning. ICCSE 2021: 81-87 - [c160]Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui:
Music Rhythm Matching Based on Dynamic Step Frequency. ICCSE 2021: 113-118 - [c159]Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui:
A Survey on Knowledge Enhanced EHR Data Mining. ICCSE 2021: 124-131 - [c158]Yong Liu, Zhiqi Shen, Yinan Zhang, Lizhen Cui:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. ICCSE 2021: 132-139 - [c157]Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui:
Knowledge Distillation In Medical Data Mining: A Survey. ICCSE 2021: 175-182 - [c156]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - [c155]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935 - [c154]Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos. ICME 2021: 1-6 - [c153]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454 - [c152]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c151]Ping Gao, Xiaohui Duan, Jiaxu Guo, Jin Wang, Zhenya Song, Lizhen Cui, Xiangxu Meng, Xin Liu, Wusheng Zhang, Ming Ma, Guohui Li, Dexun Chen, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang:
LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors. SC 2021: 42:1-42:14 - [c150]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [i27]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR abs/2101.02873 (2021) - [i26]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i25]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i24]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. CoRR abs/2103.16047 (2021) - [i23]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) - [i22]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) - [i21]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. CoRR abs/2106.00984 (2021) - [i20]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. CoRR abs/2108.01431 (2021) - [i19]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CoRR abs/2108.08134 (2021) - [i18]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR abs/2108.10560 (2021) - [i17]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR abs/2109.02053 (2021) - [i16]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) - [i15]Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR abs/2111.01351 (2021) - [i14]Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR abs/2111.04068 (2021) - [i13]Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR abs/2111.04073 (2021) - [i12]Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR abs/2111.04080 (2021) - [i11]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
- [j40]Haixia Hou, Yingying Xu, Menghan Chen, Zhi Liu, Wei Guo, Mingcheng Gao, Yang Xin, Lizhen Cui:
Hierarchical Long Short-Term Memory Network for Cyberattack Detection. IEEE Access 8: 90907-90913 (2020) - [j39]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang:
Addressing the Challenges of Government Service Provision with AI. AI Mag. 41(1): 33-43 (2020) - [j38]Yankun Cao, Xiaoyan Xiao, Zhi Liu, Meijun Yang, Dianmin Sun, Wei Guo, Lizhen Cui, Pengfei Zhang:
Detecting vulnerable plaque with vulnerability index based on convolutional neural networks. Comput. Medical Imaging Graph. 81: 101711 (2020) - [j37]Zhi Liu, Yankun Cao, Yujun Li, Xiaoyan Xiao, Qingchen Qiu, Meijun Yang, Yuefeng Zhao, Lizhen Cui:
Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network. Comput. Methods Programs Biomed. 187: 105019 (2020) - [j36]Yujun Li, Meijun Yang, Zhi Liu, Yuefeng Zhao, Dongmei Jiang, Lizhen Cui, Mingyu Wang:
Detection and diagnosis of myocarditis in young patients using ECG analysis based on artificial neural networks. Computing 102(1): 1-18 (2020) - [j35]Zhe Yang, Kun Ma, Xiaoli Zhang, Lizhen Cui, Bo Yang:
RSCVC: Row-based semantic cache with incremental versioning consistency. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j34]Yuliang Shi, Mianxiong Dong, Wenbin Zhang, Lei Liu, Yongqing Zheng, Lizhen Cui, Junhua Zhang:
AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds. Future Gener. Comput. Syst. 105: 814-823 (2020) - [j33]Yingying Xu, Zhi Liu, Yujun Li, Haixia Hou, Yankun Cao, Yuefeng Zhao, Wei Guo, Lizhen Cui:
Feature data processing: Making medical data fit deep neural networks. Future Gener. Comput. Syst. 109: 149-157 (2020) - [j32]Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui:
Service composition based on pre-joined service network in graph database. Int. J. Web Grid Serv. 16(4): 422-440 (2020) - [j31]Ye Jin, Lizhen Cui:
Discovering Influential Positions in RFID-Based Indoor Tracking Data. Inf. 11(6): 330 (2020) - [j30]Meijun Yang, Xiaoyan Xiao, Zhi Liu, Longkun Sun, Wei Guo, Lizhen Cui, Dianmin Sun, Pengfei Zhang, Guang Yang:
Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification. Sci. Program. 2020: 7025403:1-7025403:6 (2020) - [j29]Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen:
Securing Cyber-Physical Social Interactions on Wrist-Worn Devices. ACM Trans. Sens. Networks 16(2): 19:1-19:22 (2020) - [c149]Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui:
A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database. SCC 2020: 51-53 - [c148]Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li:
Personality Traits Prediction Based on Users' Digital Footprints in Social Networks via Attention RNN. SCC 2020: 54-56 - [c147]Guanqi Hua, Junhua Zhang, Lizhen Cui, Wei Guo, Xudong Lu, Wei He:
D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph. SCC 2020: 76-83 - [c146]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
PIDS: An Intelligent Electric Power Management Platform. AAAI 2020: 13220-13227 - [c145]Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). AAAI 2020: 13865-13866 - [c144]Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo:
Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders. APWeb/WAIM (2) 2020: 132-140 - [c143]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo:
A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. APWeb/WAIM (1) 2020: 779-793 - [c142]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c141]Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472 - [c140]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems. CCGRID 2020: 802-809 - [c139]Zhiqi Liu, Lizhen Cui, Wei Guo, Wei He, Hui Li, Jun Gao:
Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph. DASFAA (2) 2020: 385-397 - [c138]Wei Ge, Wei Guo, Lizhen Cui, Hui Li, Lijin Liu:
Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention. DASFAA (3) 2020: 459-473 - [c137]Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao:
Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA. ICARCV 2020: 315-320 - [c136]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c135]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 - [c134]Lizhen Cui, Jing Chen, Wei He, Wei Guo:
Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching. ICWS 2020: 45-49 - [c133]Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang:
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI 2020: 2561-2567 - [c132]Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
An AI-empowered Visual Storyline Generator. IJCAI 2020: 5267-5269 - [c131]Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui:
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. IJCNN 2020: 1-8 - [c130]Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan:
Multi-interest Aware Recommendation in CrowdIntell Network. ISPA/BDCloud/SocialCom/SustainCom 2020: 698-705 - [c129]Xiaomeng Lian, Wei He, Lizhen Cui, Hui Li, Lei Liu:
Task Assignment with Consensus Decision for Spatial Crowdsouring. ISPA/BDCloud/SocialCom/SustainCom 2020: 713-720 - [c128]Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:
Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization. AutoImplant@MICCAI 2020: 85-93 - [c127]Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:
Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis. MICCAI (2) 2020: 496-505 - [c126]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698 - [c125]Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. WWW 2020: 1264-1274 - [i10]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) - [i9]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) - [i8]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. CoRR abs/2005.10150 (2020) - [i7]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) - [i6]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
- [j28]Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui:
Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access 7: 13589-13596 (2019) - [j27]