Shixiao Liang

According to our database, Shixiao Liang authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2025

Benchmarking Tesla's Traffic Light and Stop Sign Control: Field Dataset and Behavior Insights.

Zheng Li, Peng Zhang, Shixiao Liang, Hang Zhou, Chengyuan Ma, Handong Yao, Qianwen Li, Xiaopeng Li

CoRR, December, 2025

Real-Time Lane-Level Crash Detection on Freeways Using Sparse Telematics Data.

Shixiao Liang, Chengyuan Ma, Pei Li, Haotian Shi, Jiaxi Liu, Hang Zhou, Keke Long, Bofeng Cao, Todd Szymkowski, Xiaopeng Li

CoRR, November, 2025

SRA-CP: Spontaneous Risk-Aware Selective Cooperative Perception.

Jiaxi Liu, Chengyuan Ma, Hang Zhou, Weizhe Tang, Shixiao Liang, Haoyang Ding, Xiaopeng Li, Bin Ran

CoRR, November, 2025

CATS-V2V: A Real-World Vehicle-to-Vehicle Cooperative Perception Dataset with Complex Adverse Traffic Scenarios.

Hangyu Li, Bofeng Cao, Zhaohui Liang, Wuzhen Li, Juyoung Oh, Yuxuan Chen, Shixiao Liang, Hang Zhou, Chengyuan Ma, Jiaxi Liu, Zheng Li, Peng Zhang, Keke Long, Maolin Liu, Jackson Jiang, Chunlei Yu, Shengxiang Liu, Hongkai Yu, Xiaopeng Li

CoRR, November, 2025

Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior.

Wang Chen, Heye Huang, Ke Ma, Hangyu Li, Shixiao Liang, Hang Zhou, Xiaopeng Li

CoRR, November, 2025

Theory Foundation of Physics-Enhanced Residual Learning.

Shixiao Liang, Wang Chen, Keke Long, Peng Zhang, Xiaopeng Li, Jintao Ke

CoRR, September, 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., June, 2025

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering.

Juehang Qin, Shixiao Liang, Christopher D. Tunnell

CoRR, May, 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., January, 2025

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

Privacy-preserving awareness in sensor deployment for traffic flow surveillance.

Ruru Hao, Shixiao Liang, Ziyang Zhai, Hang Zhou, Xin Wang, Xiaopeng Li, Tianhao Guan

Comput. Aided Civ. Infrastructure Eng., 2025

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., November, 2024

Analytical Optimized Traffic Flow Recovery for Large-scale Urban Transportation Network.

Sicheng Fu, Haotian Shi, Shixiao Liang, Xin Wang, Bin Ran

CoRR, 2024

ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle.

Hang Zhou, Ke Ma, Shixiao Liang, Xiaopeng Li, Xiaobo Qu

CoRR, 2024

Fast Inference Using Automatic Differentiation and Neural Transport in Astroparticle Physics.

Dorian W. P. Amaral, Shixiao Liang, Juehang Qin, Christopher D. Tunnell

CoRR, 2024

2022

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