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20192023
most citedBenchmarking Graphormer on Large-Scale Molecular Modeling Datasets

26 citations · 64 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 1 cited

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs

Jinsong Chen, Chang Liu, Kaiyuan Gao +2

Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity on the number of nodes when handling large graphs. To thi…

cs.CV2023★ 4 cited

LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis

Chang Liu, Rui Li, Kaidong Zhang +2

Diffusion models have demonstrated impressive abilities in generating photo-realistic and creative images. To offer more controllability for the generation process, existing studie…

cs.CV2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

Xiao Yang, Chang Liu, Longlong Xu +5

Face recognition is a prevailing authentication solution in numerous biometric applications. Physical adversarial attacks, as an important surrogate, can identify the weaknesses of…

physics.flu-dyn2023

A structured input-output approach to characterizing optimal perturbations in wall-bounded shear flows

Chang Liu, Yu Shuai, Aishwarya Rath +1

This work builds upon recent work exploiting the notion of structured singular values to capture nonlinear interactions in the analysis of wall-bounded shear flows. In this context…

cs.CV2023★ 6 cited

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

Chang Liu, Yinpeng Dong, Wenzhao Xiang +7

The robustness of deep neural networks is usually lacking under adversarial examples, common corruptions, and distribution shifts, which becomes an important research problem in th…