Weimao Ke

Latest

• System and method for organizing, retrieving, and accessing information based on database structures in real time based on concurrent conversations
• A deep recommendation model of cross-grained sentiments of user reviews and ratings
• Collaboration, Self-Reflection, and Adaptation in Robot Communities: Using Multi-Agent Distributed Learning for Coordination Planning
• On Triangular Inequality of the Discounted Least Information Theory of Entropy (DLITE)
• Predicting the survival of cancer patients with multimodal graph neural network
• MGNN: A multimodal graph neural network for predicting the survival of cancer patients
• Computational surprise in information retrieval
• Hierarchy construction and text classification based on the relaxation strategy and least information model
• Predictive modeling with vehicle sensor data and IoT for injury prevention
• Visual Analysis of Distributed Search Traffic in a Peer-to-peer Network
• Balanceali: multiple PPI network alignment with balanced high coverage and consistency
• Counter deanonymization query: H-index based K-anonymization privacy protection for social networks
• Distributed Search Efficiency and Robustness in Service oriented Multi-agent Networks
• Text retrieval based on least information measurement
• Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks
• Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex
• Scalability analysis of distributed search in large peer-to-peer networks
• Information-theoretic term weighting schemes for document clustering and classification
• Evaluation of a scatter/gather interface for supporting distinct health information search tasks
• A fitness model for scholarly impact analysis
• Information-theoretic term weighting schemes for document clustering
• Interactive search result clustering: A study of user behavior and retrieval effectiveness
• Collaborative hierarchical clustering in the browser for scatter/gather on the web
• Decentralized search and the clustering paradox in large scale information networks
• Least Information Modeling for Information Retrieval
• Studying scatter/gather browsing for web search
• Scalability of findability: effective and efficient IR operations in large information networks
• A Referral Approach to Finding Medical Informatics Reviewers
• Beyond information retrieval: literature mining for biomedical knowledge discovery
• Dynamicity vs. effectiveness: studying online clustering for scatter/gather
• Strong Ties vs. Weak Ties: Studying the Clustering Paradox for Decentralized Search.
• The Rich Get Richer: Studying Scholarly Impact in the Emerging Field of Information Visualization
• The Scholarly Database and its utility for scientometrics research
• Collaborative expertise retrieval: A referral approach to finding distributed experts
• Computer supported workflow for cataloging and management in digital libraries
• Effects of performance feedback on users' evaluations of an interactive IR system
• Toward responsive visualization services for Scatter/Gather browsing
• Visualizing multi-agent collaboration for classification of information
• Collaborative classifier agents: studying the impact of learning in distributed document classification
• Fusion approach to finding opinions in blogosphere
• Katy.
• Mapping a Local Web Domain
• Movies and actors: Mapping the internet movie database
• This Talk has Three Parts
• Mapping scientific disciplines and author expertise based on personal bibliography files
• Mapping the diffusion of scholarly knowledge among major US research institutions
• Scholarly networks on resilience, vulnerability and adaptation within the human dimensions of global environmental change
• Advanced information retrieval Web services for digital libraries
• Automated text classification using a multi-agent framework
• Extensible Networked Association-based Bioinformatics Learning Environment
• Project ENABLE
• Scatter/Gather Browser-a Visual Web Interface for Text Navigation and Search
• Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams
• Major information visualization authors, papers and topics in the acm library