activity
20222026
most citedLearning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

4DStreamCtrl: Interactive Video Generation with Online 4D Control

Shiqian Li, Chenguo Lin, Zhiguang Liu +4

Generative video models now synthesize footage nearly indistinguishable from reality. Their promise as interactive tools hinges on fine-grained control of how objects and the camer…

cs.AI2026

Overhang Tower: Resource-Rational Adaptation in Sequential Physical Planning

Ruihong Shen, Shiqian Li, Yixin Zhu

Humans effortlessly navigate the physical world by predicting how objects behave under gravity and contact forces, yet how such judgments support sequential physical planning under…

cs.CV2026★ 1 cited

Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields

Shiqian Li, Ruihong Shen, Junfeng Ni +3

Predicting physical dynamics from raw visual data remains a major challenge in AI. While recent video generation models have achieved impressive visual quality, they still cannot c…

physics.ed-ph2025

A simulation-heuristics dual-process model for intuitive physics

Shiqian Li, Yuxi Ma, Jiajun Yan +4

The role of mental simulation in human physical reasoning is widely acknowledged, but whether it is employed across scenarios with varying simulation costs and where its boundary l…

cs.LG2025

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning

Shiqian Li, Ruihong Shen, Yaoyu Tao +2

Physical reasoning is a remarkable human ability that enables rapid learning and generalization from limited experience. Current AI models, despite extensive training, still strugg…

physics.geo-ph2024

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI

Shiqian Li, Zhi Li, Zhancun Mu +6

Global seismic tomography, taking advantage of seismic waves from natural earthquakes, provides essential insights into the earth's internal dynamics. Advanced Full-waveform Invers…

cs.AI2023

I-PHYRE: Interactive Physical Reasoning

Shiqian Li, Kewen Wu, Chi Zhang +1

Current evaluation protocols predominantly assess physical reasoning in stationary scenes, creating a gap in evaluating agents' abilities to interact with dynamic events. While con…

cs.LG2022

On the Learning Mechanisms in Physical Reasoning

Shiqian Li, Kewen Wu, Chi Zhang +1

Is dynamics prediction indispensable for physical reasoning? If so, what kind of roles do the dynamics prediction modules play during the physical reasoning process? Most studies f…