activity
20242026
most citedTowards Agentic Intelligence for Materials Science

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

ComBodied Agents: a New Paradigm of Human-Centric Agentic AI

Qianggang Ding, Xingyao Wang, Rui Feng +20

After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person fo…

cs.CE2026

TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction

Qianggang Ding, Haochen Shi, Luis Castejón Lozano +7

We present a Temporal Rule-Anchored Chain-of-Evidence (TRACE) on knowledge graphs for interpretable stock movement prediction that unifies symbolic relational priors, dynamic graph…

cond-mat.mtrl-sci20261 cited

Towards Agentic Intelligence for Materials Science

Huan Zhang, Yizhan Li, Wenhao Huang +18

The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true acceleration in discovery requires moving beyond task-iso…

cs.AI2025

TradExpert: Revolutionizing Trading with Mixture of Expert LLMs

Qianggang Ding, Haochen Shi, Jiadong Guo +1

The integration of Artificial Intelligence (AI) in the financial domain has opened new avenues for quantitative trading, particularly through the use of Large Language Models (LLMs…

cond-mat.mtrl-sci2024

MatExpert: Decomposing Materials Discovery by Mimicking Human Experts

Qianggang Ding, Santiago Miret, Bang Liu

Material discovery is a critical research area with profound implications for various industries. In this work, we introduce MatExpert, a novel framework that leverages Large Langu…