An Adaptive Operational Modal Analysis Method Using Encoder LSTM with Random Decrement Technique. - Min Qin; Huaihai Chen; Ronghui Zheng; Tianci Gao (J. Sensors, 2021)

A deep reinforcement learning approach to mountain railway alignment optimization. - Tianci Gao; Zihan Li; Yan Gao; Paul M. Schonfeld; Xiaoyun Feng; Qingyuan Wang 001; Qing He (Comput. Aided Civ. Infrastructure Eng., 2022)

Severe rail wear detection with rail running band images. - Qihang Wang; Tianci Gao; Qing He; Yong Liu; Jun Wu; Ping Wang (Comput. Aided Civ. Infrastructure Eng., 2023)

A sequential exploration algorithm for the design optimization of horizontal road alignment. - Tianlong Zhang; Yan Gao; Tianci Gao; Paul M. Schonfeld; Yuecheng Wu; Ying Zhu; Shusheng Yang; Ping Wang 003; Qing He (Comput. Aided Civ. Infrastructure Eng., 2023)

Enhancing Robotic Adaptability: Integrating Unsupervised Trajectory Segmentation and Conditional ProMPs for Dynamic Learning Environments. - Tianci Gao (CoRR, 2024)

Transformer-XL for Long Sequence Tasks in Robotic Learning from Demonstration. - Tianci Gao (CoRR, 2024)

Remember and Recall: Associative-Memory-based Trajectory Prediction. - Hang Guo; Yuzhen Zhang; Tianci Gao; Junning Su; Pei Lv; Mingliang Xu 001 (CoRR, 2024)

Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions. - Tianci Gao (Robotics Auton. Syst., 2024)

AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors. - Ruoxuan Feng; Jiangyu Hu; Wenke Xia; Tianci Gao; Ao Shen; Yuhao Sun; Bin Fang; Di Hu 001 (ICLR, 2025)