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Lihua Cai
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2020 – today
- 2024
- [j13]Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu, Lihua Cai:
Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis. Big Data Cogn. Comput. 8(2): 14 (2024) - [j12]Lihua Cai:
Research on grammatical error correction algorithm in English translation via deep learning. J. Intell. Syst. 33(1) (2024) - [j11]Kai Li, Lihua Cai, Guangjian He, Xun Gong:
MATI: Multimodal Adaptive Tracking Integrator for Robust Visual Object Tracking. Sensors 24(15): 4911 (2024) - [c16]Siyu Zhang, Yifu Guo, Yuquan Lu, Kun Zeng, Chao He, Lihua Cai:
S2A-Attention for Multimodal 3D Semantic Segmentation Using LiDAR and Cameras in Autonomous Driving. PRICAI (4) 2024: 256-267 - 2023
- [j10]Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. J. Ambient Intell. Humaniz. Comput. 14(4): 3019-3040 (2023) - [j9]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. ACM Trans. Sens. Networks 19(2): 47:1-47:50 (2023) - [c15]Chao He, Yingshan Shen, Nan Zhong, Dongqing Song, Huijuan Hu, Dingju Zhu, Lihua Cai:
Multimodal Sentiment Analysis Based on Multiple Stacked Attention Mechanisms. CSCWD 2023: 1002-1007 - [i5]Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes:
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. CoRR abs/2304.01293 (2023) - [i4]Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba:
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. CoRR abs/2312.12666 (2023) - 2022
- [j8]Bohao Tang, Lihua Cai, Shuai Yang, Jiaxing Xu, Yi Yu:
Evolutionary Computation for Sparse Synthesis Optimization of CCAAs: An Enhanced Whale Optimization Algorithm Method. Future Internet 14(12): 347 (2022) - [j7]Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes:
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. ACM Trans. Comput. Heal. 3(4): 37:1-37:13 (2022) - [j6]Yan Feng, Xingjian Zhou, Lihua Cai, Jinshan Dai:
Research on digital logistics parks' horizontal cooperation with Cloud platform: from the perspective of tripartite evolutionary game. Int. J. Netw. Virtual Organisations 27(1): 40-60 (2022) - [j5]Lihua Cai, Shuo Dong, Xi Huang, Haifeng Fang, Jianguo She:
Mechanical performance analysis and experimental study of soft-bodied bird-billed pneumatic gripper. Ind. Robot 49(5): 924-933 (2022) - [c14]Lihua Cai, Yujue Zhou, Yulong Ding, Jie Jiang, Shuang-Hua Yang:
Utilizing Lexicon-enhanced Approach to Sensitive Information Identification. ICAC 2022: 1-6 - [c13]Xingjian Zhou, Hongyue Ji, Jiali Pan, Changrong Li, Lihua Cai:
The Pricing Strategy of Extended Warranty Services in Supply Chain Considering Response Time. WHICEB 2022: 84 - [i3]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. CoRR abs/2203.15935 (2022) - 2021
- [j4]Haifeng Fang, Jin Cao, Lihua Cai, Ta Zhou, MingQiang Wang:
The recognition of plastic bottle using linear multi hierarchical SVM classifier. J. Intell. Fuzzy Syst. 40(6): 11509-11522 (2021) - [c12]Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba:
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. CHASE 2021: 46-57 - [c11]Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba:
Influenza-like symptom recognition using mobile sensing and graph neural networks. CHIL 2021: 291-300 - [c10]Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Semi-supervised Graph Instance Transformer for Mental Health Inference. ICMLA 2021: 1221-1228 - [c9]Lihua Cai, Zhipeng Cao, Mingming Xu, Hui Sheng, Jianhua Wan:
Spatial-Temporal Distribution Analysis Based on Multiyear HAB Extraction in the Yellow Sea of China. IGARSS 2021: 4794-4797 - [c8]Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. IntelliSys (1) 2021: 31-50 - [c7]Xingjian Zhou, Lihua Cai, Gechen Xu, Yingpei Huang:
The Mechanism and strategy of Digital Logistics Park Cross Supply Chain Collaboration based on Evolutionary Game. WHICEB 2021: 19 - 2020
- [c6]Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes:
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. RecSys 2020: 249-258 - [i2]Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes:
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. CoRR abs/2008.09472 (2020)
2010 – 2019
- 2019
- [j3]Zhou Ta, Xue Wei, Chuxi Nan, Siqi Wang, Zhang Ning, Li Tang, Lihua Cai, Pingle Yang:
A Screening Mechanism Fast-Aggregation-Based Takagi-Sugeno-Kang Fuzzy Classification for Epileptic Electroencephalograms Signal. J. Medical Imaging Health Informatics 9(7): 1458-1463 (2019) - [c5]Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber:
Adaptive Passive Mobile Sensing Using Reinforcement Learning. WOWMOM 2019: 1-6 - 2018
- [c4]Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based approach to improve affect recognition from passively sensed data. BHI 2018: 434-437 - [c3]Congyu Wu, Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes:
Vector Space Representation of Bluetooth Encounters for Mental Health Inference. UbiComp/ISWC Adjunct 2018: 1691-1699 - [c2]Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes:
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. PervasiveHealth 2018: 232-238 - [i1]Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data. CoRR abs/1802.00029 (2018) - 2017
- [c1]Lihua Cai, Congyu Wu, Kiana Jafari Meimandi, Matthew S. Gerber:
Adaptive mobile behavior change intervention using reinforcement learning. ICCT 2017: 1-2 - 2014
- [j2]Haifeng Fang, Lihua Cai:
Buckling Capacity Optimization of Stiffened Rectangular Plate under Uniform Normal Compression. J. Comput. 9(3): 581-585 (2014) - 2012
- [j1]Lihua Cai, Wei Li:
Description to Fe-C Alloy Film Fiber Corrosion Sensors by Fractal Corrosion Images. J. Comput. 7(10): 2599-2604 (2012)
Coauthor Index
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