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• m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series
  2017 · 23 citations
• A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing
  2018 · 21 citations
• Compressive Features in Offline Reinforcement Learning for Recommender Systems
  2021 · 3 citations
• Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
  2022 · 2 citations
• Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
  2022 · 2 citations
• Characterizing and Optimizing Real-Time Optimal Control for Embedded SoCs
  2024 · 1 citations
• Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow
  2026
• GRL-SNAM: Geometric Reinforcement Learning With Path Differential Hamiltonians For Simultaneous Navigation And Mapping In Unknown Environments
  2025
• Decentralized Navigation of a Cable-Towed Load using Quadrupedal Robot Team via MARL
  2025
• Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
  2024
• Planning Robot Placement for Object Grasping
  2024
• Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
  2024