Research Focus

  Compound & Multi-Agent AI

Optimizing LLM-agent pipelines via globally-aligned local rewards (Optimas, ICLR 2026), LLM-agent recommendation with implicit item relations (AgentDR, WWW 2026), and RL from AI feedback (RecLAIF).

  LLMs + Knowledge Graphs

Multi-modal LLM encoders for graph-structured data (GT2Vec), complex logical reasoning over KGs (arXiv 2023), and graph–language ensembles for search relevance (WWW 2024).

  Geometric Representation Learning

Scalable hyperbolic GNNs via meta-learning (NeurIPS 2023), unification of Euclidean & hyperbolic GNNs (IJCAI 2023), and probabilistic entity reasoning (NeurIPS 2021).

News

  • [Feb 2026] Optimas accepted at ICLR 2026 — optimizing compound AI systems via globally-aligned local rewards. [arXiv]
  • [Jan 2026] AgentDR accepted as long paper at WWW 2026 — LLM-agent recommendation with implicit item-item relations. [arXiv]
  • [Aug 2025] Two papers (GT2Vec, RecLAIF) accepted at the KDD 2025 LLM4Graph workshop.
  • [Jun 2025] Flash drought prediction with deep learning published in Environmental Research Letters. [pdf]
  • [Mar 2025] Plugin method for metric optimization of black-box models released as a preprint. [pdf]
  • [Nov 2023] Hyperbolic Graph Neural Networks at Scale presented at NeurIPS 2023. [pdf] [code]
  • [Jan 2023] Joined Amazon Stores Science full-time as Senior Applied Scientist after completing my Ph.D. at Virginia Tech.