works on

From the 1 of 8 papers with an AI index.

most citedLLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading

3 citations

7 papers

gr-qc2026

Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms

Ruanjing Zhang, Zhi-Chao Zhao, Shaoqi Hou +3

The paper analyzes how strong gravitational lensing alters the gravitational‑wave memory signal, revealing universal, image‑type‑dependent waveform features that are independent of…

gr-qc2026

Solving Hamiltonian Constraint Equation with Physics-Informed Neural Networks

Yu-Chen Zhou, Hao Ma, Zhoujian Cao +6

Numerical relativity (NR), solving Einstein equation numerically, plays an important role in source modelling for gravitational wave astronomy. Traditional methods for NR including…

astro-ph.CO2026

Reassessing the SIGW Interpretation of PTA Signal: The Role of Third-Order Gravitational Waves and Implications for the PBH Overproduction

Zhi-Chao Zhao, Sai Wang, Qing-Hua Zhu +1

In light of recent interpretations attributing pulsar timing array (PTA) signal to second-order gravitational waves induced by linear cosmological curvature perturbations in the ea…

cs.GT2026

HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework

Tianxing Bu, Zhaoqi Zhang, Linyou Cai +7

In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optim…

cs.LG2026

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

Zhaoqi Zhang, Miao Xie, Yi Li +3

As urban environments continue to evolve rapidly, accurately modeling the dynamic behaviour of Points of Interest is essential for supporting data-driven urban planning and commerc…

cs.RO2026

What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies

Jiachen Zhang, Junnan Nie, Junyi Lao +4

Vision--language--action (VLA) policies are trained to imitate actions; their loss never asks them to estimate reward, progress, or future success. Their frozen representations nev…