11 citations · 22 across the 17 of their papers we have counts for
17 papers
Geometry-Aware Anisotropic Boundary Correction for Aerodynamic Simulation
Xin Zhang, Yipeng Huang, Shu Jiang +2
Aerodynamic simulation is a key component of engineering shape design, where core quantities such as the surface pressure coefficient strongly depend on flow dynamics near solid bo…
Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
Jian Guan, Huolong Wu, Zhenzhong Wang +2
Dynamic multiobjective optimization problems (DMOPs) feature time-varying objectives, which cause the Pareto optimal solution (POS) set to drift over time and make it difficult to…
Neuro-Symbolic Multitasking: A Unified Framework for Discovering Generalizable Solutions to PDE Families
Yipeng Huang, Dejun Xu, Zexin Lin +2
Solving Partial Differential Equations (PDEs) is fundamental to numerous scientific and engineering disciplines. A common challenge arises from solving the PDE families, which are…
Endowing Molecular Language with Geometry Perception via Modality Compensation for High-Throughput Quantum Hamiltonian Prediction
Zhenzhong Wang, Yongjie Hou, Chenggong Huang +3
The quantum Hamiltonian is a fundamental property that governs a molecule's electronic structure and behavior, and its calculation and prediction are paramount in computational che…
Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation
Zhenzhong Wang, Xin Zhang, Jun Liao +1
Multiphase flow simulation is critical in science and engineering but incurs high computational costs due to complex field discontinuities and the need for high-resolution numerica…
PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation
Can Yang, Zhenzhong Wang, Junyuan Liu +2
Accurate and efficient simulations of physical phenomena governed by partial differential equations (PDEs) are important for scientific and engineering progress. While traditional…
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
Qingyuan Zeng, Shu Jiang, Jiajing Lin +3
With the rise of 3D Gaussian Splatting (3DGS), a variety of digital watermarking techniques, embedding either 1D bitstreams or 2D images, are used for copyright protection. However…
VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Jiajing Lin, Shu Jiang, Qingyuan Zeng +2
The intrinsic dynamics of an object governs its physical behavior in the real world, playing a critical role in enabling physically plausible interactive simulation with 3D assets.…
Phys4DGen: Physics-Compliant 4D Generation with Multi-Material Composition Perception
Jiajing Lin, Zhenzhong Wang, Dejun Xu +3
4D content generation aims to create dynamically evolving 3D content that responds to specific input objects such as images or 3D representations. Current approaches typically inco…
NexusSplats: Efficient 3D Gaussian Splatting in the Wild
Yuzhou Tang, Dejun Xu, Yongjie Hou +2
Photorealistic 3D reconstruction of unstructured real-world scenes remains challenging due to complex illumination variations and transient occlusions. Existing methods based on Ne…
Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization
Yunpeng Gong, Qingyuan Zeng, Dejun Xu +2
In recent years, despite significant advancements in adversarial attack research, the security challenges in cross-modal scenarios, such as the transferability of adversarial attac…
Phy124: Fast Physics-Driven 4D Content Generation from a Single Image
Jiajing Lin, Zhenzhong Wang, Yongjie Hou +2
4D content generation focuses on creating dynamic 3D objects that change over time. Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling proces…
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong, Yongjie Hou, Zhenzhong Wang +2
Neural network solvers for partial differential equations (PDEs) have made significant progress, yet they continue to face challenges related to data scarcity and model robustness.…
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung +1
While image-to-text models have demonstrated significant advancements in various vision-language tasks, they remain susceptible to adversarial attacks. Existing white-box attacks o…
Crystalline Material Discovery in the Era of Artificial Intelligence
Zhenzhong Wang, Haowei Hua, Wanyu Lin +2
Crystalline materials, with symmetrical and periodic structures, exhibit a wide spectrum of properties and have been widely used in numerous applications across electronics, energy…
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
Zhenzhong Wang, Zehui Lin, Wanyu Lin +3
Providing explainable molecular property predictions is critical for many scientific domains, such as drug discovery and material science. Though transformer-based language models…
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin +2
While graph neural networks (GNNs) have become the de-facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled…