Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments. - Shixiao Liang; Aaron Higuera; Christina Peters; Venkat Roy; Waheed U. Bajwa; Hagit Shatkay; Christopher D. Tunnell (Frontiers Artif. Intell., 2022)

Fast Inference Using Automatic Differentiation and Neural Transport in Astroparticle Physics. - Dorian W. P. Amaral; Shixiao Liang; Juehang Qin; Christopher D. Tunnell (CoRR, 2024)

ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle. - Hang Zhou; Ke Ma; Shixiao Liang; Xiaopeng Li; Xiaobo Qu 002 (CoRR, 2024)

Analytical Optimized Traffic Flow Recovery for Large-scale Urban Transportation Network. - Sicheng Fu; Haotian Shi; Shixiao Liang; Xin Wang; Bin Ran (CoRR, 2024)

Image encryption algorithm based on a novel 2D logistic-sine-coupling chaos map and bit-level dynamic scrambling. - Jie Fang; Kaihui Zhao; Shixiao Liang; Jiabin Wang (Concurr. Comput. Pract. Exp., 2024)

Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments. - Dorian W. P. Amaral; Shixiao Liang; Juehang Qin; Christopher D. Tunnell (Mach. Learn. Sci. Technol., 2025)

Estimating link flow through link speed with sparse flow data sampling. - Jiandong Qiu; Sicheng Fu; Jushang Ou; Kai Tang; Xinming Qu; Shixiao Liang; Xin Wang; Bin Ran (Comput. Aided Civ. Infrastructure Eng., 2025)

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering. - Juehang Qin; Shixiao Liang; Christopher D. Tunnell (CoRR, 2025)

Application of three-dimensional Rubik's cube scrambling and genetic information diffusion in multiple-color image encryption. - Jie Fang; Nian Guo; Shixiao Liang; Yang Xiang (J. Supercomput., 2025)

Role of denoisers in simulation-based inference from graph-structured data: a case study for position inference in an astroparticle detector. - Venkat Roy; Aaron Higuera; Shixiao Liang; Christina Peters; Waheed U. Bajwa; Christopher D. Tunnell (EURASIP J. Adv. Signal Process., 2025)