An efficient method for multiple-circle detection. - Xing Cao; Farzin Deravi (ICCV, 1990)

An efficient method for the detection of multiple concentric circles. - Xing Cao; Farzin Deravi (ICASSP, 1992)

A hardware Trojan embedded in the Inverse Widlar reference generator. - Xing Cao; Qianqian Wang; Randall L. Geiger; Degang Chen 001 (MWSCAS, 2015)

SEM research on the economic traffic demand management policy of Beijing based on the sustainable development. - Xing Cao; Jing Li (LISS, 2016)

On the Provable Generalization of Recurrent Neural Networks. - Lifu Wang; Bo Shen; Bo Hu; Xing Cao (NeurIPS, 2021)

Dual-Channel Reasoning Model for Complex Question Answering. - Xing Cao; Yun Liu 001; Bo Hu; Yu Zhang (Complex., 2021)

Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System. - Jianbo Wang; Xing Cao (Complex., 2021)

The Effect of Artificial Intelligence (AI) on Firm Labor Structure. - Mei Xue; Xing Cao; Xu Feng; Bin Gu; Yongjie Zhang 003 (HICSS, 2022)

Evolution Process and Simulation of Advanced Equipment Manufacturing Innovation Network Based on Intelligent System. - Jianbo Wang; Xing Cao (Big Data, 2022)

Can Gradient Descent Provably Learn Linear Dynamic Systems? - Lifu Wang; Bo Shen; Bo Hu; Xing Cao (CoRR, 2022)

SEGCN-DCR: A syntax-enhanced event detection framework with decoupled classification rebalance. - Bo Hu; Yun Liu 001; Naiyue Chen; Lifu Wang; Ning Liu; Xing Cao (Neurocomputing, 2022)

Coarse-grained decomposition and fine-grained interaction for multi-hop question answering. - Xing Cao; Yun Liu 001 (J. Intell. Inf. Syst., 2022)

Is College Education Less Necessary with AI? Evidence from Firm-Level Labor Structure Changes. - Mei Xue; Xing Cao; Xu Feng; Bin Gu; Yongjie Zhang 003 (J. Manag. Inf. Syst., 2022)

Improving and evaluating complex question answering over knowledge bases by constructing strongly supervised data. - Xing Cao; Yingsi Zhao; Bo Shen (Neural Comput. Appl., 2023)

ReLMKG: reasoning with pre-trained language models and knowledge graphs for complex question answering. - Xing Cao; Yun Liu 001 (Appl. Intell., 2023)

Predict, pretrained, select and answer: Interpretable and scalable complex question answering over knowledge bases. - Xing Cao; Yun Liu 001; Feng Sun 011 (Knowl. Based Syst., 2023)

Linear RNNs Provably Learn Linear Dynamical Systems. - Lifu Wang; Tianyu Wang; Shengwei Yi; Bo Shen; Bo Hu; Xing Cao (J. Optim. Theory Appl., 2024)