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Implicit Signal Mining for Personalized Decision Systems

Chika Komari

A unified track across structural, semantic, and psychological signal mining

I focus on implicit signal mining in complex information networks for risk-aware and personalized decision systems.

O1-KR1 (due June 30, 2026): critical node identification on multi-layer heterogeneous networks O1-KR2 (due September 30, 2026): scalable financial knowledge-graph infrastructure and signal mining automation O2-KR1 (due December 31, 2026): personalized multi-device AI companion based on Airi

Publications / Preprint

3

1 under review · 1 accepted · 1 NeurIPS poster preprint

GPA / Rank

4.04/5.00 · 15/154

Sun Yat-sen University (School of Intelligent Systems Engineering)

Kaggle Models Views / Downloads

2.7K+ / 1.0K+

CSIRO Biomass Prediction Model Series

Kaggle Tier

Notebooks Expert

Kaggle Progression tier (2025-Present)

Internship

Evolution Asset Management

AI Intern (Apr 2025 - Present)

GitHub Contributions

800+

Public contribution activity across projects

GitHub Commit Activity

Open GitHub

Last 12 months

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Roadmap Snapshot

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Psychological Signal Mining

Avg. progress 11.1% · 1 roots / 3 nodes

Semantic Signal Mining

Avg. progress 11.1% · 1 roots / 3 nodes

Structural Signal Mining

Avg. progress 11.1% · 1 roots / 3 nodes

Featured Artifacts

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Latest Updates

Open Blog
  • Jan 2026: submitted first-author ICML 2026 paper on latent preference discovery
  • 2025: accepted at GBCESC 2025 and received Best Paper Award
  • Since Apr 2025: building financial knowledge-graph infrastructure at Evolution Asset Management