Search Results - ruochuan+liu

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Enhancing Fairness Through Aleatoric Uncertainty
Background In recent years, advancements in machine learning have revolutionized various domains, but concerns about bias and unfairness in automated decision-making systems have gained significant attention. One of the causes of unfairness in AI systems is the reliance on training data. Aleatoric uncertainty refers to the inherent randomness or variability...
Published: 8/7/2024   |   Inventor(s): Anique Tahir, Lu Cheng, Huan Liu
Keywords(s): Artificial Intelligence, Machine Learning
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security
DNA Methylation Barriers
In normal differentiated cells, most of the genome is densely methylated, except CpG islands near promoters of actively transcribed genes. Maintaining this boundary between unmethylated promoter-associated and adjacent methylated regions is crucial as loss of segregation can lead to disease. Unfortunately, it is not clear where these boundaries are,...
Published: 6/5/2024   |   Inventor(s): Li Liu, Jingmin Shu
Keywords(s):  
Category(s): Applied Technologies, Genomic Assays/Reagents/Tools, Life Science (All LS Techs), Diagnostic Assays/Devices
Activation of E6Ap/Ube3A-Mediated Protein Ubiquitination and Degradation Pathways By A Cyclic G-Aa Peptide
Advantages By modulating E3 ligase activity, it is possible to regulate protein degradation pathways, gene activation, and other cellular functions. The research expands the therapeutic landscape by introducing the concept of E3 activators alongside E3 inhibitors, PROTACs, and molecular glues. Synthetic ligands, such as γ-AA peptides, offer...
Published: 4/18/2024   |   Inventor(s): Jianfeng Cai, Bo Huang, Jun Yin, Li Zhou, Ruochuan Liu
Keywords(s): Cancer Treatment, Drug Discovery, Neurodegenerative Diseases, Oncology
Category(s): Technology Classifications > Medical > Cell & Tissue Engineering, Technology Classifications > Medical > Neuroscience
Systems and Algorithms for Few-Shot Node Classification on Graphs
­Node classification in real-world attributed networks is a central analytical task that is a growing research area. In real-world networks, a large portion of node classes only contain limited labeled instances. Many prevailing graph machine learning methods typically rely upon the availability of sufficient labeled data. However, the long-tail...
Published: 10/16/2023   |   Inventor(s): Kaize Ding, Jianling Wang, Huan Liu
Keywords(s): Algorithm Development, Data Mining, Machine Learning, Neural Computing, PS-Computing and Information Technology, Social Media
Category(s): Physical Science, Computing & Information Technology
Graph Prototypical Networks for Few-Shot Learning on Attributed Networks
Background Attributed networks provide high-impact data representation in many real-world complex systems, including social network analysis, financial fraud detection, and drug discovery. In these networks, users can be represented as nodes, which are classified based on the information available from the network. However, there are currently limited...
Published: 2/23/2023   |   Inventor(s): Kaize Ding, Huan Liu
Keywords(s):  
Category(s): Intelligence & Security, Physical Science, Computing & Information Technology, Wireless & Networking
Detecting Fake News on Social Media by Message Diffusion Pathways
­Background Classification of social media content is often regarded as a text categorization problem and mainly focuses on content features, such as words and hashtags. However, for many emerging applications like fake news and rumor detection, it is very challenging, if not impossible, to identify useful features based on message content. A key...
Published: 2/23/2023   |   Inventor(s): Liang Wu, Huan Liu
Keywords(s): Information Propagation
Category(s): Computing & Information Technology, Physical Science, Intelligence & Security
Inductive Anomaly Detection for Attributed Networks
­Background In a variety of real-world applications (e.g., social spam detection, financial fraud detection, and network intrusion detection), detecting anomalies from networked data plays a vital role in keeping malicious behaviors or attacks at bay. With the increasing usage of attributed networks for modeling information systems, anomaly detection...
Published: 2/23/2023   |   Inventor(s): Kaize Ding, Huan Liu
Keywords(s):  
Category(s): Computing & Information Technology, Physical Science, Intelligence & Security
PMU-Embedded Analytics for Online Event Detection and Classification in Power Grids
The energy requirement of the world is increasing exponentially every year. With the power demand sites concentrated in the region with the highest population density, energy production sites must be located remotely. This isolation requires lengthy and complicated grids to be designed and manufactured to transmit power over long distances. Grid failures...
Published: 7/30/2024   |   Inventor(s): Payman Dehghanian, Shiyuan Wang, Li Li
Keywords(s):  
Category(s): Technology Classifications > Industrial or Consumer Tech > Energy Infrastructure and Environment
Unsupervised Cyberbullying Detection Via Time-Informed Gaussian Mixture Model
Background Cyberbullying, defined as “aggressively intentional acts carried out by a group or an individual using electronic forms of contact, repeatedly or over time against victims who cannot easily defend themselves,” has been rising at an alarming rate. Previous research has found that nearly 43% of teens in the United States have been...
Published: 2/23/2023   |   Inventor(s): Lu Cheng, Kai Shu, Siqi Wu, Yasin Silva, Deborah Hall, Huan Liu
Keywords(s): Causal Learning, Data Mining, Machine Learning
Category(s): Wireless & Networking, Physical Science, Computing & Information Technology
Efficient Topic Tracking of Social Streaming Data for Disaster Support
Background Social media has become an indispensable tool in the face of natural disasters due to its broad appeal and ability to quickly disseminate information. For instance, Twitter is an important source for disaster responders to search for (1) topics that have been identified as being of particular interest over time, i.e., common topics such as...
Published: 2/23/2023   |   Inventor(s): Lu Cheng, Jundong Li, Kasim Candan, Huan Liu
Keywords(s): Causal Learning, Data Mining, Social Media
Category(s): Physical Science, Computing & Information Technology
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