activity
20222024
most citedFormalizing UML State Machines for Automated Verification -- A Survey

29 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE202429 cited

Formalizing UML State Machines for Automated Verification -- A Survey

Étienne André, Shuang Liu, Yang Liu +3

The Unified Modeling Language (UML) is a standard for modeling dynamic systems. UML behavioral state machines are used for modeling the dynamic behavior of object-oriented designs.…

cs.LG2024

Data-Dependent Stability Analysis of Adversarial Training

Yihan Wang, Shuang Liu, Xiao-Shan Gao

Stability analysis is an essential aspect of studying the generalization ability of deep learning, as it involves deriving generalization bounds for stochastic gradient descent-bas…

cs.CL2023

A Pilot Study on Dialogue-Level Dependency Parsing for Chinese

Gongyao Jiang, Shuang Liu, Meishan Zhang +1

Dialogue-level dependency parsing has received insufficient attention, especially for Chinese. To this end, we draw on ideas from syntactic dependency and rhetorical structure theo…

cs.AI20231 cited

A Review on Machine Theory of Mind

Yuanyuan Mao, Shuang Liu, Pengshuai Zhao +3

Theory of Mind (ToM) is the ability to attribute mental states to others, the basis of human cognition. At present, there has been growing interest in the AI with cognitive abiliti…

cs.LG2022

Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game

Xiao-Shan Gao, Shuang Liu, Lijia Yu

Adversarial deep learning is to train robust DNNs against adversarial attacks, which is one of the major research focuses of deep learning. Game theory has been used to answer some…