Guangwei Yu

ZERO-SHOT TUNING FOR LARGE-SCALE DATA PROCESSING QUERIES

SELF-SUPERVISED LEARNING FOR TABULAR DATA MODELS

COMPUTING SYSTEMS AND METHODS FOR LLM-BASED QUERY EXPANSION FOR USE IN INFORMATION RETRIEVAL

NATURAL LANGUAGE GENERATION FOR DATABASE QUERIES

RECOMMENDATION PROCESS FOR RETRIEVAL-AUGMENTED GENERATION (RAG) MODELS

CO-LEARNING OBJECT AND RELATIONSHIP DETECTION WITH DENSITY AWARE LOSS

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE TRAINING AND CHAT

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT WITH ENFORCED ACCESS LEVELS

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT AND ACTION EXECUTION

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT WITH PERSONALIZED RESPONSES

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT USING MULTIPLE DATA SOURCES

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT

CONFIGURABLE PIPELINES FOR TRAINING AND DEPLOYING MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

TEXT-CONDITIONED VIDEO REPRESENTATION

COMPUTING SYSTEMS AND METHODS FOR GENERATING A TRAINING DATASET FOR A RERANKER MODEL

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A WEB SERVER

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A LOGGING ADAPTER

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A MONITORING PIPELINE

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH AN ARTIFACT ADAPTER

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A DATA ADAPTER

CONTEXTUAL CLASSIFICATION OF TABULAR DATA FOR SELF-ATTENTION

TABULAR SELECTION BASED ON DIMENSIONALITY OF MEMORY OF ARTIFICIAL INTELLIGENCE MODEL

LOCAL CONTEXT GENERATION OF TABULAR DATA USING NEAREST NEIGHBORS

WEIGHTED RETRIEVAL FOR IN-CONTEXT TABULAR MODEL

NEAREST NEIGHBOR RETRIEVAL AND FINE-TUNING FOR IN-CONTEXT LEARNING MODEL

CONTEXT RETRIEVAL FOR IN-CONTEXT LEARNING MODEL

LOCAL CONTEXT FOR CONTEXT-BASED TABULAR CLASSIFICATION

LOCAL CONTEXT FOR CONTEXT-BASED TABULAR CLASSIFICATION

SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL TESTING

Computing systems and methods for query expansion for use in information retrieval

ADAPTIVE RESOURCE ALLOCATION FOR MACHINE LEARNING WORKFLOWS

MULTI-TABLE DATA STORAGE WITH AUDITABLE DATA CHANGES

CONTEXT OPTIMIZATION FOR CONTEXT-BASED TABULAR CLASSIFICATION

EFFICIENT MULTI-MODAL MODELS

EFFICIENT MULTI-MODAL MODELS

EFFICIENT MULTI-MODAL MODELS

WEAKLY SUPERVISED ACTION SELECTION LEARNING IN VIDEO

TABULAR DATA GENERATION

PROGRAMMATIC ANALYSIS AND MONITORING OF PIPELINED MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

MODULAR FRAMEWORK FOR TRAINING FORWARD-IN-TIME MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

MONITORING AND VERSIONING OF PIPELINED MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

CONFIGURABLE PIPELINES FOR TRAINING AND DEPLOYING MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

AUTOMATED IMAGE RETRIEVAL WITH IMAGE GRAPH

Automated image retrieval with image graph

TEXT-CONDITIONED VIDEO REPRESENTATION

CO-LEARNING OBJECT AND RELATIONSHIP DETECTION WITH DENSITY AWARE LOSS

Automated image retrieval with graph neural network

Weakly supervised action selection learning in video

Automated image retrieval with image graph

PREDICTING OCCURRENCES OF TARGETED CLASSES OF EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES

Automated image retrieval with graph neural network

Automated image retrieval with image graph