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ORCIDLina Yao 0001
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Kensington, NSW, Australia
- affiliation (PhD 2014): University of Adelaide, SA, Australia
Other persons with the same name
- Lina Yao — disambiguation page
- Lina Yao 0002
![[0000-0003-2235-7556]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2235-7556")
— Zhengzhou University, School of Electrical Engineering, China
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2020 – today
- 2023
[j99]May S. Altulyan, Lina Yao, Salil S. Kanhere, Chaoran Huang:
A blockchain framework data integrity enhanced recommender system. Comput. Intell. 39(1): 104-120 (2023)- [j98]En Xu, Zhiwen Yu, Nuo Li, Helei Cui, Lina Yao, Bin Guo:
Quantifying predictability of sequential recommendation via logical constraints. Frontiers Comput. Sci. 17(5): 175612 (2023) - [j97]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j96]Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics 27(1): 538-549 (2023) - [j95]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng:
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16(1): 330-342 (2023) - [c157]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM 2023: 481-489 - [c156]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [i108]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR abs/2301.12351 (2023) - [i107]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR abs/2302.03350 (2023) - [i106]Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR abs/2303.00404 (2023) - [i105]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR abs/2303.03598 (2023) - [i104]Yao Liu, Zesheng Ye, Binghao Li, Lina Yao:
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR abs/2303.08367 (2023) - 2022
- [j94]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. 65(8): 2098-2132 (2022) - [j93]Usama Salama, Lina Yao, Hye-Young Paik:
A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation. Computer 55(2): 44-53 (2022) - [j92]Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu:
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. ACM Comput. Surv. 54(4): 77:1-77:40 (2022) - [j91]Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu:
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. Data Min. Knowl. Discov. 36(6): 2214-2236 (2022) - [j90]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022) - [j89]Yao Liu, Lina Yao, Binghao Li, Claude Sammut, Xiaojun Chang:
Interpolation graph convolutional network for 3D point cloud analysis. Int. J. Intell. Syst. 37(12): 12283-12304 (2022) - [j88]Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu:
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. 26(5): 68-75 (2022) - [j87]Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo:
RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree. IEEE Internet Things J. 9(6): 4464-4475 (2022) - [j86]Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye:
EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. IEEE Internet Things J. 9(17): 16386-16401 (2022) - [j85]Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. 235: 107665 (2022) - [j84]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249: 108954 (2022) - [j83]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang:
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157: 112-118 (2022) - [j82]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [j81]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Graph Neural Network for Robust Public Transit Demand Prediction. IEEE Trans. Intell. Transp. Syst. 23(5): 4086-4098 (2022) - [j80]Jing Chu, Xu Wang, Kun Qian, Lina Yao, Fu Xiao, Jianbo Li, Zheng Yang:
Passenger Demand Prediction With Cellular Footprints. IEEE Trans. Mob. Comput. 21(1): 252-263 (2022) - [j79]Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu:
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. IEEE Trans. Mob. Comput. 21(12): 4517-4528 (2022) - [j78]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2842-2852 (2022) - [j77]Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu:
AskMe: joint individual-level and community-level behavior interaction for question recommendation. World Wide Web 25(1): 49-72 (2022) - [c155]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu:
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC 2022: 1-9 - [c154]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim:
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC 2022: 305-314 - [c153]Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI 2022: 3-14 - [c152]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI 2022: 393-404 - [c151]Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM 2022: 1135-1145 - [c150]Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM 2022: 1339-1349 - [c149]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CVPR 2022: 2980-2989 - [c148]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CVPR 2022: 9677-9686 - [c147]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c146]Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang:
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM 2022: 885-890 - [c145]Xinshu Li, Lina Yao:
Contrastive Individual Treatment Effects Estimation. ICDM 2022: 1053-1058 - [c144]Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang:
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. MICCAI (1) 2022: 221-230 - [c143]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A survey on participant selection for federated learning in mobile networks. MobiArch@MobiCom 2022: 19-24 - [c142]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM 2022: 442-450 - [c141]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [c140]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR 2022: 1927-1932 - [c139]Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu:
Hierarchical Task-aware Multi-Head Attention Network. SIGIR 2022: 1933-1937 - [c138]Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang:
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. WISE 2022: 386-394 - [c137]Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim:
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE 2022: 616-629 - [e4]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13725, Springer 2022, ISBN 978-3-031-22063-0 [contents] - [e3]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13726, Springer 2022, ISBN 978-3-031-22136-1 [contents] - [e2]Javier Troya, Brahim Medjahed, Mario Piattini, Lina Yao, Pablo Fernández, Antonio Ruiz-Cortés:
Service-Oriented Computing - 20th International Conference, ICSOC 2022, Seville, Spain, November 29 - December 2, 2022, Proceedings. Lecture Notes in Computer Science 13740, Springer 2022, ISBN 978-3-031-20983-3 [contents] - [r1]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang:
Deep Learning for Recommender Systems. Recommender Systems Handbook 2022: 173-210 - [i103]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. CoRR abs/2201.01961 (2022) - [i102]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CoRR abs/2203.03978 (2022) - [i101]Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang:
Contrastive Graph Learning for Population-based fMRI Classification. CoRR abs/2203.14044 (2022) - [i100]Siyu Wang, Xiaocong Chen, Lina Yao:
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR abs/2204.00308 (2022) - [i99]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CoRR abs/2204.02148 (2022) - [i98]Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR abs/2205.03230 (2022) - [i97]Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang:
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. CoRR abs/2205.03231 (2022) - [i96]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i95]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting. CoRR abs/2206.04053 (2022) - [i94]Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu:
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. CoRR abs/2207.00782 (2022) - [i93]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A Survey on Participant Selection for Federated Learning in Mobile Networks. CoRR abs/2207.03681 (2022) - [i92]Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. CoRR abs/2208.03666 (2022) - [i91]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. CoRR abs/2208.04600 (2022) - [i90]Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR abs/2208.05142 (2022) - [i89]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR abs/2208.06746 (2022) - [i88]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR abs/2208.06748 (2022) - [i87]Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen:
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR abs/2208.10498 (2022) - [i86]Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao:
The Neural Process Family: Survey, Applications and Perspectives. CoRR abs/2209.00517 (2022) - [i85]Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li:
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR abs/2209.08228 (2022) - [i84]Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu:
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications. CoRR abs/2210.14524 (2022) - [i83]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang:
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR abs/2211.02895 (2022) - 2021
- [b1]Xiang Zhang, Lina Yao:
Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications. WorldScientific 2021, ISBN 9781786349583, pp. 1-296 - [j76]Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lina Yao, Flavia M. Cicuttini:
On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach. IEEE Access 9: 62241-62254 (2021) - [j75]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An internet of things service roadmap. Commun. ACM 64(9): 86-95 (2021) - [j74]Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of False Information Detection on Social Media: New Perspectives and Trends. ACM Comput. Surv. 53(4): 68:1-68:36 (2021) - [j73]Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang:
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. 121: 25-34 (2021) - [j72]Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi:
Efficient search over incomplete knowledge graphs in binarized embedding space. Future Gener. Comput. Syst. 123: 24-34 (2021) - [j71]May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere:
Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet 13(12): 305 (2021) - [j70]Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao:
VID: Human identification through vein patterns captured from commodity depth cameras. IET Biom. 10(2): 142-162 (2021) - [j69]Yang Xiao, Qingqi Pei, Tingting Xiao, Lina Yao, Huan Liu:
MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks. J. Netw. Comput. Appl. 177: 102954 (2021) - [j68]Yuanyuan Xu, Yu Yin, Jun Wang, Jinmao Wei, Jian Liu, Lina Yao, Wenjie Zhang:
Unsupervised Cross-View Feature Selection on incomplete data. Knowl. Based Syst. 234: 107595 (2021) - [j67]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. 113: 107826 (2021) - [j66]Shaoyang Hao, Bin Guo, Hao Wang, Yunji Liang, Lina Yao, Qianru Wang, Zhiwen Yu:
DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. ACM Trans. Knowl. Discov. Data 15(5): 83:1-83:16 (2021) - [j65]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j64]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang:
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. 14(2): 502-515 (2021) - [c136]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI 2021: 8723-8731 - [c135]Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao:
Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC 2021: 1-12 - [c134]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC 2021: 37-49 - [c133]Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang:
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC 2021: 50-61 - [c132]Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen:
HFM++: An Enhanced Holographic Factorization Machine for Recommendation. AusDM 2021: 72-85 - [c131]Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro:
Cognitive Augmentation in Processes. Next-Gen Digital Services 2021: 123-137 - [c130]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c129]Zhihui Li, Lina Yao:
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. CVPR 2021: 4751-4760 - [c128]Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu:
Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. EWSN 2021: 31-42 - [c127]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM 2021: 101-110 - [c126]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang:
Global Convolutional Neural Processes. ICDM 2021: 699-708 - [c125]Xiaocong Chen, Lina Yao, Yu Zhang:
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) 2021: 122-136 - [c124]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) 2021: 129-142 - [i82]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang:
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR abs/2101.04793 (2021) - [i81]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR abs/2103.02185 (2021) - [i80]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An Internet of Things Service Roadmap. CoRR abs/2103.03043 (2021) - [i79]Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo:
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree. CoRR abs/2103.11104 (2021) - [i78]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR abs/2104.10857 (2021) - [i77]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i76]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang:
Global Convolutional Neural Processes. CoRR abs/2109.00691 (2021) - [i75]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i74]