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2020 – today
- 2023
[j82]Xiuxiu Ren, Xiangwei Zheng
, Lizhen Cui, Gang Wang, Huiyu Zhou:
Asymmetric similarity-preserving discrete hashing for image retrieval. Appl. Intell. 53(10): 12114-12131 (2023)- [j81]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j80]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j79]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An reinforcement learning approach for allocating software resources. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j78]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j77]Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 512-523 (2023) - [c205]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023: 277-285 - [c204]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 - [c203]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540 - [c202]Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 9153-9161 - [c201]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c200]Zhe Qu, Lizhen Cui, Yonghui Xu:
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) 2023: 276-285 - [c199]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao:
CMT: Cross-modal Memory Transformer for Medical Image Report Generation. DASFAA (3) 2023: 415-424 - [c198]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) 2023: 606-618 - [c197]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [c196]Ziwei Huang, Lu Bai, Lizhen Cui, Tao Feng:
A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels. ICCC 2023: 1-6 - [c195]Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE 2023: 2955-2968 - [c194]Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE 2023: 3403-3416 - [c193]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [c192]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c191]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i43]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i42]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. CoRR abs/2301.01664 (2023) - [i41]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i40]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) - [i39]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR abs/2302.07429 (2023) - [i38]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) - [i37]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i36]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i35]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i34]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - 2022
- [j76]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) - [j75]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) - [j74]Fan Yang, Shuaijie Zhang, Wei Pan, Ruiyuan Yao, Weiguo Zhang, Yanchun Zhang, Guoyin Wang, Qianghua Zhang, Yunlong Cheng, Jihua Dong, Chunyang Ruan, Lizhen Cui, Hao Wu, Fuzhong Xue:
Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method. Briefings Bioinform. 23(5) (2022) - [j73]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao:
Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. Data Sci. Eng. 7(4): 370-382 (2022) - [j72]Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [j71]Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Li-zhen Cui:
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022) - [j70]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (2022) - [j69]Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chenyang Zhang, Xiaoyu Sui, Pengfei Zhang, Lizhen Cui, Shuo Li:
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping. Medical Image Anal. 80: 102520 (2022) - [j68]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) - [j67]Shuaiying Zhang, Wentao An, Yue Zhang, Lizhen Cui, Chunhua Xie:
Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar Through Convolutional Neural Networks Based on Polarimetric Features. Remote. Sens. 14(20): 5133 (2022) - [j66]Wei Guo, Lanju Kong, Xudong Lu, Lizhen Cui:
An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling. Symmetry 14(10): 2037 (2022) - [j65]Lu Bai, Ziwei Huang, Lizhen Cui, Tao Feng, Xiang Cheng:
A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels. IEEE Trans. Commun. 70(10): 7055-7069 (2022) - [j64]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) - [j63]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022) - [j62]Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li:
TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE J. Biomed. Health Informatics 26(8): 4067-4078 (2022) - [j61]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) - [j60]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) - [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) - [c190]Xiaofei Wu, Hao Wang, Chunpeng Ge, Lu Zhou, Qiong Huang, Lanju Kong, Lizhen Cui, Zhe Liu:
CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts. ACISP 2022: 449-468 - [c189]Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui:
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM 2022: 718-725 - [c188]Xiaolin Song, Yuehan Su, Lanju Kong, Lizhen Cui, Wei Guo, Qingzhong Li:
A high-concurrency blockchain model for large-scale medical cohort data storage and sharing. BIBM 2022: 1178-1184 - [c187]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao:
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. BIBM 2022: 1457-1460 - [c186]Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu:
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM 2022: 1787-1790 - [c185]Zhe Qu, Lizhen Cui, Yonghui Xu:
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM 2022: 3385-3390 - [c184]Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui:
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449 - [c183]Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao:
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) 2022: 559-563 - [c182]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 - [c181]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 - [c180]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 - [c179]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 - [c178]Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:
Reachability Labeling for Distributed Graphs. ICDE 2022: 686-698 - [c177]Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - [c176]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu:
Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. ICSOC 2022: 316-330 - [c175]Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui:
Is it fair? Resource allocation for differentiated services on demands. ICWS 2022: 355-360 - [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 - [i33]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i32]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) - [i31]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR abs/2209.02544 (2022) - [i30]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) - [i29]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - [i28]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (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]