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20232026
most citedHyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Curvature-Aware Captioning:Leveraging Geodesic Attention for 3D Scene Understanding

Ziyao He, Yingjie Liu, ZhangYangRui +3

Accurate 3D scene description is fundamental to robotic navigation and augmented reality, yet current dense captioning methods face significant limitations in processing sparse poi…

cs.CV2025★ 3 cited

Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding

Yingjie Liu, Pengyu Zhang, Ziyao He +3

Hyperbolic spaces allow for more efficient modeling of complex, hierarchical structures, which is particularly beneficial in tasks involving multi-modal data. Although hyperbolic g…

cond-mat.mtrl-sci2024

PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction

Xiangxiang Shen, Zheng Wan, Lingfeng Wen +7

Crystal structures can be simplified as a periodic point set that repeats across three-dimensional space along an underlying lattice. Traditionally, crystal representation methods…

cs.CV2024

R2Det: Exploring Relaxed Rotation Equivariance in 2D object detection

Zhiqiang Wu, Yingjie Liu, Hanlin Dong +5

Group Equivariant Convolution (GConv) empowers models to explore underlying symmetry in data, improving performance. However, real-world scenarios often deviate from ideal symmetri…

cs.LG2024

When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices

Pengyu Zhang, Yingjie Liu, Yingbo Zhou +4

Although Federated Learning (FL) enables collaborative learning in Artificial Intelligence of Things (AIoT) design, it fails to work on low-memory AIoT devices due to its heavy mem…

cs.LG2023

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang +5

Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic…