Constraint Solving in Test-Data Generation. - Yuan Zhan (CP, 2002)

Search Based Automatic Test-Data Generation at an Architectural Level. - Yuan Zhan; John A. Clark (GECCO (2), 2004)

Search-based mutation testing for Simulink models. - Yuan Zhan; John A. Clark (GECCO, 2005)

A search-based framework for automatic test-set generation for MATLAB/Simulink models. - Yuan Zhan (2005)

The state problem for test generation in Simulink. - Yuan Zhan; John A. Clark (GECCO, 2006)

A search-based framework for automatic testing of MATLAB/Simulink models. - Yuan Zhan; John A. Clark (J. Syst. Softw., 2008)

Comparing algorithms for search-based test data generation of Matlab® Simulink® models. - Kamran Ghani; John A. Clark; Yuan Zhan (IEEE Congress on Evolutionary Computation, 2009)

The Design of Image Similarity Tool Based on SCILAB. - Jianfeng Sun; Xiang Li; Yuan Zhan (ICAIC (1), 2011)

A novel design of orthogonal frequency division multiplexing-based passive optical networks. - Yuan Zhan; Mengli Tang; Hai Liu 004; Minming Zhang; Deming Liu (Photonic Netw. Commun., 2012)

An adaptive second-order sliding-mode observer for permanent magnet synchronous motor with an improved phase-locked loop structure considering speed reverse. - Yuan Zhan; Jifu Guan; Yufeng Zhao (Trans. Inst. Meas. Control, 2020)

Learn Effective Representation for Deep Reinforcement Learning. - Yuan Zhan; Zhiwei Xu 005; Guoliang Fan (ICME, 2022)

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning. - Zhiwei Xu 005; Dapeng Li 001; Bin Zhang 052; Yuan Zhan; Yunpeng Bai; Guoliang Fan (NeurIPS, 2022)

Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning. - Renye Yan; Zhe Wu; Yuan Zhan; Pin Tao; Zongwei Wang 001; Yimao Cai; Junliang Xing (IJCNN, 2023)

Performance analysis of quantum repeaters enabled by deterministically generated photonic graph states. - Yuan Zhan; Paul Hilaire; Edwin Barnes; Sophia E. Economou; Shuo Sun (Quantum, 2023)