期刊
[1]. Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEETransaction on Knowledge and Data Engineering(TKDE) .(2022)
[2]. Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, and Lei Liu. 2023. Modeling Long- and Short-term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. (2023)
[3]. Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu :HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Netw. Learn. Syst.(2022)
[4]. 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)
[5]. Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao:Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024)
[6]. Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan:TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238(Part E): 122184 (2024)
[7]. Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024)
[8]. Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024)
[9]. 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)
[10]. Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023)
[11]. Lu Bai, Ziwei Huang, Lizhen Cui, Xiang Cheng:A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications. IEEE Trans. Wirel. Commun. 22(12): 9233-9247 (2023)
[12]. Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang: Toward Personalized Federated Learning.IEEE Transactions on Neural Networks and Learning Systems PP(99):1-17
[13]. 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)
[14]. 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)
[15]. 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)
[16]. 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)
[17]. 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)
[18]. 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)
[19]. 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)
[20]. 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)
[21]. 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)
[22]. 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)
[23]. Guanhua Ye, Tong Chen; Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin: Heterogeneous Collaborative Learning for Personalized Healthcare Analytics Via Messenger Distillation. IEEE Journal of Biomedical and Health Informatics(2022)
[24]. Weiming Huang, Daokun Zhang, Gengchen Mai, Xu Guo, Lizhen Cui: Learning urban region representations with POIs and hierarchical graph infomax. ISPRS Journal of Photogrammetry and Remote Sensing 196, 134-145(2022)
[25]. 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)
[26]. 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)
[27]. 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)
[28]. 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)
[29]. Lei Liu, Song Xu, Lizhen Cui, Geyong Min, Haozhe Wang:Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks. IEEE J. Sel. Areas Commun. 37(7): 1642-1655 (2019)
[30]. Lizhen Cui, Junhua Zhang, Lingxi Yue, Yuliang Shi, Hui Li, Dong Yuan:A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds. IEEE Trans. Serv. Comput. 11(4): 727-739 (2018)
会议
[1]. Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui: MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. AAAI 2023
[2]. Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu1, Zhen Li, Yonghui Xu: MMTN: Multi-modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023
[3]. Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He1,Yonghui Xu, Lizhen Cui, Chunyan Miao:Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.ICDE 2023
[4]. 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
[5]. 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
[6]. Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540
[7]. Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. IEEE Big Data 2023: 5559-5568
[8]. Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu:CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS 2023: 161-169
[9]. Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui:ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. ICWS 2023: 258-268
[10]. Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min:TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain. ICWS 2023: 716-718
[11]. Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717
[12]. 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
[13]. 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
[14]. 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
[15]. Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881
[16]. Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao:Efficient Reachability Query with Extreme Labeling Filter. WSDM 2022: 966-975
[17]. 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
[18]. Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:Reachability Labeling for Distributed Graphs. ICDE 2022: 686-698
[19]. 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
[20]. 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
[21]. Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289
[22]. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935
[23]. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454
[24]. Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:Where are we in embedding spaces? KDD 2021: 2223-2231
[25]. Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014
[26]. 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
[27]. 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
[28]. 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
[29]. 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
[30]. 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
[31]. 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
[32]. 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
[33]. Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712
