Tianliang Yao (姚天亮)

Tianliang Yao (姚天亮)

Not as smart as my robots.

Publications

* denotes co-first authorship; † denotes corresponding authorship.

Journal

  1. Tianliang Yao, Chengjia Wang, Xinyi Wang, Xiang Li, Zhaolei Jiang, Peng Qi, “Enhancing Percutaneous Coronary Intervention with Heuristic Path Planning and Deep-Learning based Vascular Segmentation”, Computers in Biology and Medicine, 2023. (JCR: Q1, IF: 7.7).
  2. Cheng Ding*, Tianliang Yao *, Chenwei Wu, Jianyuan Ni, “Advances in Deep Learning for Personalized ECG Diagnostics: A Systematic Review Addressing Inter-Patient Variability and Generalization Constraints”, Biosensors and Bioelectronics, 2024. (JCR Q1, IF: 10.7)
  3. Tianliang Yao, Haoyu Wang, Bo Lu, Jiajia Ge, Zhiqiang Pei, Markus Kowarschik, Lining Sun, Lakmal Seneviratne, Peng Qi, “Sim2Real Learning with Domain Randomization for Autonomous Guidewire Navigation in Robotic-Assisted Endovascular Interventions”, IEEE Transactions on Automation Science and Engineering (T-ASE), 2025. (JCR Q1, IF: 5.9)
  4. Luqi Gong, Haotian Chen, Yikun Chen, Tianliang Yao, Shuai Zhao, Chao Li, Guangjie Han, “DPNet: Dynamic Pooling Network for Accurate and Efficient Size-Aware Tiny Object Detection”, IEEE Internet of Things Journal (IoTJ), 2025. (JCR Q1, IF: 8.2)
  5. . Di Ding*, Tianliang Yao*, Genyi Feng, Xueqing Gao, Rong Luo, Xusen Sun, “Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review”, Advanced Intelligent Systems (AISY). (JCR Q1, IF: 6.8, revise and resubmit)
  6. Hui Zhang, Tianliang Yao, Cheng Ding, “Wearable Devices for Blood Glucose Measurement: A Review”, Artificial Intelligence Review. (JCR Q1, IF: 10.7, minor revision)
  7. Mengjie Shi, Tianliang Yao, Tom Vercauteren, Wenfeng Xia, “Data-driven Needle Tip Tracking with A Photoacoustic Beacon for Ultrasound-Guided Minimally Invasive Procedures”, IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control (Special Section: 2024 UFFC Joint Symposium). (revise and resubmit)
  8. Haoyu Wang, Tianliang Yao, Bin Chen, Chenyu Zhou, Hangling Sun, and Anji Li, “Adaptive Electromagnetic Signal Analysis via Non-Euclidean Manifold Learning for Atmospheric Precipitation Understanding”, IEEE Signal Processing Letters. (JCR Q1, IF: 3.2, revise and resubmit)
  9. Xihe Qiu, Haoyu Wang, Tianliang Yao, Xiaoyu Tan, Chao Qu, Yuan Cheng, Zhijun Fang, and Peng Qi, “Learning Expressive Task Embeddings and Sample-Efficient Exploration for Context Shift Reduction in Offline Meta-Reinforcement Environment”, IEEE Transactions on Systems, Man and Cybernetics: Systems (T-SMC). (JCR Q1, IF: 8.6, under review)
  10. Haoyu Wang, Tianliang Yao, Bin Chen, Yujie Zeng, Chenyu Zhou, Anji Li, “Operational Risk Mitigation in Complex Systems: Enhancing Safety and Reliability of Power Generation Systems on Intelligent Control Strategies Using Adversarial Imitation Learning”, IEEE Transactions on Parallel and Distributed Systems (T-PDS). (JCR Q1, IF: 5.6, under review)
  11. Shuang Liang, Zhicheng Liu, Guangyuan Liu, Tianliang Yao, Chunyi Yang, Peng Qi, “Self-Supervised Coronary Vessel Segmentation in X-Ray Angiography with Perspective Synthesis and Fourier Spectral Constraints”, IEEE Transactions on Medical Imaging (TMI). (JCR Q1, IF: 8.9, under review)

Conference

  1. Peng Qi, Yunfeng Wu, Tianliang Yao, Bo Lu, Yi Sun, Jian S. Dai, “A Haptic Exploration and Surface Classification of Objects with Four Typical Surface Properties,” IEEE Conference on Advanced Robotics and Mechatronics (ARM), 2023. (Best Conference Paper Finalist)
  2. Mengjie Shi, Tianliang Yao, Tom Vercauteren, Wenfeng Xia, “Learned Needle Tip Localization with A Photoacoustic Beacon for Ultrasound-Guided Minimally Invasive Procedures”, IEEE International Ultrasonics Symposium (IUS), 2024. (Oral)
  3. Tianliang Yao, Jingwei Song, Madaoji Ban, Bo Lu, Zhiqiang Pei, Peng Qi, “Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular Robotics”, IEEE International Conference on Robotics and Automation (ICRA), 2025. (IEEE ICRA RAS Travel Grants Award)
  4. Shuaiqi Jing, Tianliang Yao, Ke Zhang, Zixi Chen, Qiulin Wang, Di Wu, Peng Qi, “Ultrasound-Guided Robotic Blood Drawing and In Vivo Studies on Submillimetre Vessels of Rats”, IEEE International Conference on Robotics and Automation (ICRA), 2025.
  5. Haoyu Wang, Bin Chen, Zilong Yin, Tianliang Yao, Sijia Li, Hangling Sun, Chenyu Zhou, “Distributed Formation Control and Collision Avoidance Using Subequivariant Properties”, The 44th Chinese Control Conference (CCC), 2025.
  6. Tianliang Yao, Bingrui Li, Bo Lu, Zhiqiang Pei, Yixuan Yuan, Peng Qi, “Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. (under review)
  7. Yuhui Hu, Tianliang Yao, Jingwei Song, Di Wu, Lei Ma, Peng Qi, “Deep Learning based Guidewire Robot Tip-Force Estimation from Intraoperative DSA Images with a Physics-Embedded Model”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. (under review)
  8. Sijia Li, Xiaoyu Tan, Chen Zhan, Haoyu Wang, Tianliang Yao, Xihe Qiu, “MLLM-Supervised Reinforcement Learning for Guidewire Navigation in Robotic-Assisted Endovascular Interventions”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. (under review)
  9. Haoyu Wang, Xihe Qiu, Tianliang Yao, Xiaoyu Tan, Sijia Li, “Hybrid Physical-Linguistic Knowledge Fusion for Efficient Enhanced Robotic Coordination in Subequivariant Reinforcement Learning Framework”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. (under review)

Services

Journal Reviewer

International Journal of Surgery (JCR Q1, IF: 12.9)

Expert Systems with Applications (JCR Q1, IF:7.5)

Knowledge-based Systems (JCR Q1, IF:7.2)

Journal of Systems Science and Systems Engineering

Conference Reviewer

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

IEEE International Joint Conference on Neural Networks (IJCNN) 2025

Academic Organizations

Student Committee Member of the Student Committee of the Autonomous Robotic Technology Seminar (ARTS, 自主机器人技术研讨会), affiliated with the China Association of Automation (CAA，中国自动化学会).

Presentation

  1. Sharing talk on “Application of machine learning in coronary image analysis,” CTOCC 2023, Oct 2023.
  2. Oral presentation on “A Haptic Exploration and Surface Classification of Objects with Four Typical Surface Properties,”, ICARM 2023, Jul 2023.
  3. Sharing talk on “Advancing Embodied AI in Percutaneous Coronary Intervention Robots,” Siemens Healthineers (Business Line of Endovascular Robotics), Jun 2024.