A Survey on Neural Network Interpretability. - Yu Zhang 111; Peter Tiño; Ales Leonardis; Ke Tang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

How Good Is Neural Combinatorial Optimization? - Shengcai Liu; Yu Zhang 111; Ke Tang 001; Xin Yao 001 (CoRR, 2022)

Deep neural networks on genetic motif discovery: the interpretability and identifiability issues. - Yu Zhang 111 (2022)

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. - Shengcai Liu; Yu Zhang 111; Ke Tang 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2023)