activity
20222026
most citedAnalysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory

10 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Banana Kick: Response-Informed Skill Evolution for Humanoid Soccer

Hao E. Zhang, Ruize Geng, Raihan Haque +5

Humanoid kicking requires coordinated whole-body motion and precise contact, while a banana kick demands contact mechanics that generate ball spin and aerodynamic curvature. Motion…

cs.RO2026

Anticipatory Robot Goalkeeping via Monotone Optimal Stopping

Hao E. Zhang, Ruize Geng, Yisen Li +8

Robots engaged in fast physical interactions often need to act before the intent of another agent is fully known. Anticipatory goalkeeping illustrates this challenge. Waiting provi…

cs.RO2026

SAGE: Safety-Aligned Gradient Enforcement for Human--Robot Collaboration

Yisen Li, Hao Zhang, Ruize Geng +3

Multi-party human-robot collaboration poses a dual challenge: robot decisions should remain interpretable and auditable, while executed actions must satisfy safety constraints duri…

cs.RO2026

Dynamics-Induced Commitment in Learning-Based Robotic Penalty Kicks

Ruize Geng, Hao E. Zhang, Yisen Li +3

Learning in robotic games is constrained not only by strategic information but also by what the body can still execute. We study this coupling in a hierarchical humanoid-quadruped…

cs.LG2026

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data

Ru Geng, Panayotis Kevrekidis, Yixian Gao +2

Lattice Hamiltonian systems underpin models across condensed matter, nonlinear optics, and biophysics, yet learning their dynamics from data is obstructed by two unknowns: the inte…

hep-lat2024

Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning

Ru Geng, Yixian Gao, Jian Zu +1

A deep understanding of the intricate interactions between particles within a system is a key approach to revealing the essential characteristics of the system, whether it is an in…

math-ph2024

Vertex Weight Reconstruction in the Gel'fand's Inverse Problem on Connected Weighted Graphs

Songshuo Li, Yixian Gao, Ru Geng +1

We consider the reconstruction of the vertex weight in the discrete Gel'fand's inverse boundary spectral problem for the graph Laplacian. Given the boundary vertex weight and the e…

math.DS2024

-SGHN: A Robust Model for Learning Particle Interactions in Lattice Systems

Yixian Gao, Ru Geng, Panayotis Kevrekidis +2

We propose an -separable graph Hamiltonian network (-SGHN) that reveals complex interaction patterns between particles in lattice systems. Utilizing trajectory data, -SGHN…

cs.SI2022★ 10 cited

Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory

Ru Geng, Yixian Gao, Hongkun Zhang +1

The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we study COVID-19 data interpretation and visualization using open-data sources for 3…