Xin Liu
Professor of Computer Science, UC Davis
Co-PI and Co-Lead of Use-Inspired and Foundational AI Cluster
Xin Liu is a Computer Science Professor at the University of California, Davis. Before joining UC Davis, she was a postdoctoral research associate in the Coordinated Science Laboratory at UIUC. During 2012-2014, she took a leave of absence and was with Microsoft Research Asia.
Her current research interests fall in the general areas of machine learning algorithm development and machine learning applications in human and animal healthcare, food systems, and communication networks. Her research on networking includes cellular networks, cognitive radio networks, wireless sensor networks, network information theory, network security, and IoT systems.
Xin is an IEEE Fellow. She received the Computer Networks Journal Best Paper of Year award in 2003 for her work on opportunistic scheduling. In 2005, she received the NSF CAREER award for her research on Smart-Radio-Technology-Enabled Opportunistic Spectrum Utilization. She is a co-PI and AI cluster co-lead for AIFS.
Project Involvement
AI-Enabled Models for Reducing Postharvest Food Spoilage
Dietary Assistant Powered by Language Models and Knowledge Graphs
AI-Enabled Models for Food Digestion and Nutrient Delivery
AIFS Publications
Journal Article ⏐ Computers and Electronics in Agriculture 2022Journal Article ⏐ Comput. Electron. Agric. 2022Special Report: AI Institute for Next Generation Food Systems (AIFS)
Tagkopoulos, Ilias,Steve Brown,Xin Liu,Qing Zhao,Tarek I Zohdi,Mason Earles,Nitin Nitin,Daniel Runcie,Danielle G Lemay,Aaron Smith,Pamela Ronald,Hao Feng,and Gabriel YoutseyDOI: 10.1016/j.compag.2022.106819
Workshop Article ⏐ AAAI Workshop on AI for Agriculture and Food Systems 2023Workshop Article ⏐ AAAI Workshop AI Agric. Food Syst. 2023Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities
Journal Article ⏐ Computation 2023Journal Article ⏐ Computation 2023Quantifying Causal Path-Specific Importance in Structural Causal Model
DOI: 10.3390/computation11070133
Journal Article ⏐ IEEE Transactions on Network Science and Engineering 2023Journal Article ⏐ IEEE Trans. Netw. Sci. Eng. 2023Duopoly Business Competition in Cross-Silo Federated Learning
DOI: 10.1109/TNSE.2023.3297880
Journal Article ⏐ IEEE Internet of Things Journal 2024Journal Article ⏐ IEEE Internet Things J. 2024When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation
DOI: 10.1109/JIOT.2024.3400216
Conference Article ⏐ International Joint Conference on Artificial Intelligence 2021Conference Article ⏐ IJCAI 2021Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey
DOI: 10.24963/ijcai.2021/614
Conference Article ⏐ Asian Conference on Machine Learning 2021Conference Article ⏐ ACML 2021CTS2: Time Series Smoothing with Constrained Reinforcement Learning
Conference Article ⏐ IFIP Networking Conference 2021Conference Article ⏐ IFIP Network. Conf. 2021Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning
DOI: 10.23919/IFIPNetworking52078.2021.9472202
Conference Article ⏐ Military Communications Conference 2022Conference Article ⏐ MILCOM 2022FedTune: Automatic Tuning of Federated Learning Hyper-Parameters From System Perspective
DOI: 10.1109/MILCOM55135.2022.10017717
Conference Article ⏐ IEEE Transactions on Big Data 2023Conference Article ⏐ IEEE Trans. Big Data 2023CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
DOI: 10.1109/BigData52589.2021.9671840
Conference Article ⏐ IEEE Symposium on Security and Privacy 2023Conference Article ⏐ IEEE SP 2023Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective
DOI: 10.1109/SP46215.2023.10179463
Conference Article ⏐ IEEE/RSJ International Conference on Intelligent Robots and Systems 2024Conference Article ⏐ IROS 2024DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots
Choi, Taeyeong,Dario Guevara,Zifei Cheng,Grisha Bandodkar,Chonghan Wang,Brian N Bailey,Mason Earles,and Xin Liu
Journal Article ⏐ Applied Intelligence 2023Journal Article ⏐ APIN 2023Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
DOI: 10.1007/s10489-023-04649-7
Journal Article ⏐ Frontiers in Artificial Intelligence 2022Journal Article ⏐ Front. Artif. Intell. 2022Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
DOI: 10.3389/frai.2022.863261
Journal Article ⏐ IEEE communications magazine 2023Journal Article ⏐ IEEE Commun. Mag. 2023Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities
DOI: 10.1109/MCOM.005.2300467