Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection. - Xitong Liang; Samuel Livingstone; Jim E. Griffin (Stat. Comput., 2022)

Structure Learning with Adaptive Random Neighborhood Informed MCMC. - Xitong Liang; Alberto Caron; Samuel Livingstone; Jim E. Griffin (NeurIPS, 2023)

A 1.9-ps 8× phase interpolation TDC for time-based analog-to-digital converter with capacitance compensation self-calibration. - Zhijie Chen; Xiaoyu Zhang; Yongkuo Ma; Xitong Liang; Xinyu Du; Peiyuan Wan (IEICE Electron. Express, 2023)

Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models. - Xitong Liang; Samuel Livingstone; Jim E. Griffin (Entropy, 2023)

Dynamic cycles between brain states during creative storytelling. - Xitong Liang; Mingnan Cai; Gaohan Jing; Chengming Zhang; Emily S. Nichols; Li Liu (NeuroImage, 2025)