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Lifang He

Identifiers

  • name variant Lifang He 0.60 · backfill

Papers (24)

  1. AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cs.AI · 2026 · author #11
  2. Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis cs.LG · 2026 · author #2
  3. Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration cs.AI · 2026 · author #6
  4. Missing Pattern Tree based Decision Grouping and Ensemble for Enhancing Pair Utilization in Deep Incomplete Multi-View Clustering cs.LG · 2025 · author #4
  5. Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cs.CV · 2024 · author #11
  6. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #45
  7. Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification cs.IR · 2019 · author #5
  8. Boosted Sparse and Low-Rank Tensor Regression cs.LG · 2018 · author #1
  9. A Self-Organizing Tensor Architecture for Multi-View Clustering cs.LG · 2018 · author #1
  10. Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction cs.LG · 2018 · author #3
  11. Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks cs.SI · 2018 · author #2
  12. Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis cs.LG · 2018 · author #2
  13. Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease cs.CV · 2018 · author #2
  14. MARS: Memory Attention-Aware Recommender System cs.IR · 2018 · author #3
  15. On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation cs.SI · 2018 · author #2
  16. Error-Robust Multi-View Clustering cs.LG · 2018 · author #2
  17. Contaminant Removal for Android Malware Detection Systems cs.CR · 2017 · author #4
  18. Multi-view Graph Embedding with Hub Detection for Brain Network Analysis cs.LG · 2017 · author #3
  19. A Broad Learning Approach for Context-Aware Mobile Application Recommendation cs.IR · 2017 · author #2
  20. Learning from Multi-View Multi-Way Data via Structural Factorization Machines cs.LG · 2017 · author #2
  21. Online Multi-view Clustering with Incomplete Views cs.LG · 2016 · author #2
  22. Online Unsupervised Multi-view Feature Selection cs.LG · 2016 · author #2
  23. Multi-Source Multi-View Clustering via Discrepancy Penalty cs.LG · 2016 · author #3
  24. DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages cs.LG · 2014 · author #1

Mentions

  • 1407.8289 #1 · backfill · confidence 0.70 Lifang He
  • 2605.23204 #11 · arxiv_oai · confidence 0.70 Lifang He
  • 2605.09366 #6 · arxiv_oai · confidence 0.70 Lifang He
  • 2401.05561 #45 · arxiv_oai · confidence 0.70 Lifang He

Frequent Coauthors