11 citations · 22 across the 17 of their papers we have counts for
9 papers · 1 filter
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…