Tinghong Ye

Tinghong Ye

Huazhong University of Science and Technology

Welcome to my personal website! I am Tinghong Ye (Chinese: 叶庭宏), a highly motivated and passionate undergraduate student majoring in Artificial Intelligence at Huazhong University of Science and Technology (HUST). I am currently a senior (Class of 2022) with a strong academic record and a deep interest in Embodied AI, particularly in Robotics control and perception algorithms.

I am passionate about Embodied AI, focusing on building autonomous systems that can intelligently perceive, navigate, and interact with the physical world. My research integrates state-of-the-art techniques in multi-modal perception, real-time motion planning, and model predictive control (MPC). I apply these principles to challenging platforms like quadruped robots, aiming to enhance their autonomy and adaptability in complex, unstructured environments.

  • 3D Vision & Scene Understanding🧠: Construct the SpatialReason benchmark containing multi-hop QA pairs that require complex spatial perception, effectively enhance the interpretability of 3D-VQA reasoning paths.

  • Vision-Language Model Application👀: Built a tactical analysis system based on Vision-Language Models, employing CoT prompting to reason and predict complex sequential actions.

  • Multi-Agent Formation Control🦵: Designing the experiments of CLF-CBF-based algorithms for distributed quadruped robot swarms, optimizing obstacle traversal through hierarchical conflict resolution and dynamic path planning.

  • Sensor-Driven Autonomy🔍: Enhancing environmental perception via LiDAR and depth camera fusion, leveraging LCCP segmentation and RANSAC plane fitting to improve localization accuracy in unstructured scenarios.

  • Real-Time Optimization⚡: Implementing MPC controllers for 12-DOF quadruped robots, balancing computational efficiency and motion precision through C++-based matrix operations and ROS integration.

These innovations have been validated in national robotics competitions and contribute to the development of a more capable and adaptable robotic system capable of navigating complex environments. Pursuing further research in these areas will bridge theoretical advancements with real-world deployability, fostering intelligent robotics that adapt to evolving challenges.

🔥 News

📝 Publication

IROS 2025
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A Distributed Quadratic Programming (QP)-based Safe Formation Control Scheme for Multiple Quadruped Robots (Rejected)

Danfu Liu*, Peixuan Song*, Tinghong Ye, Qichen Liang, Jinhui Du, Lijun Zhu and Han Ding

  • Introduced a hierarchical control strategy: an upper-layer distributed planner for trajectory generation and a lower-layer MPC-based locomotion controller for trajectory tracking.
  • Demonstrated effectiveness through simulations and real-world experiments with Unitree A1 robots, achieving formation control in complex obstacle environments while meeting safety constraints.
  • The project code will be released after acceptance of the paper.
INDIN 2025
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Bone Age Prediction using a Convolutional Neural Network-based Regression Algorithm employing Attention-Directing and Cluster (Accepted)

Tao Ma*, Tinghong Ye*, Lixin Deng*, Yizhu Tang, TakMan LO, Kaip Tse, Yuzhi Huang, Zhihao Li, Renzhi Lu

  • Proposed a dual-driven deep learning framework (ACNNet) for bone age assessment, combining cluster analysis and attention-guided CNN regression to hierarchically enhance age-sensitive anatomical features in hand radiographs.
  • Introduced an adaptive spatial attention module (ASAM) for ROI detection and a Bayesian-optimized ensemble strategy to fuse predictions from age-specific subsets, improving interpretability and accuracy.

🎖 Honors and AwardS

  • 2025.09 National Scholarship
  • 2025.09 School merit student
  • 2025.07 First prize (Runner-up) in the National College Student Robot Competition (2025)
  • 2025.07 Second prize in the racing track of National College Student Robot Competition (2025)
  • 2025.07 Second prize in the obstacle track of National College Student Robot Competition (2025)
  • 2025.07 Second prize in the cross-country track of National College Student Robot Competition (2025)
  • 2024.11 Third prize in the Global Campus AI Algorithm Elite Competition National Finals
  • 2024.10 Science and technology innovation scholarship
  • 2024.07 First prize (Runner-up) in the National College Student Robot Competition (2024)
  • 2024.07 First prize (Third place) in the racing track of National College Student Robot Competition (2024)
  • 2024.07 First prize (Fourth place) in the obstacle track of National College Student Robot Competition (2024)
  • 2024.07 Third prize in the cross-country track of National College Student Robot Competition (2024)
  • 2024.05 Third prize of Chinese College Student Computer Design Competition provincial competition
  • 2024.05 Second prize in Huazhong Cup college students mathematical modeling contest
  • 2024.02 Honorable Mention in Mathematical Contest In Modeling(MCM/ICM)
  • 2023.10 School merit student
  • 2023.09 Second prize in National College students Mathematical Modeling Contest provincial competition
  • 2023.08 Second prize in Wasu Cup National college students mathematical Modeling Contest
  • 2023.07 First prize in the National College Student Robot Competition (2023)
  • 2023.05 Outstanding Winner in School robot contest (rk4)
  • 2023.02 Freshmen study for merit scholarships

📖 Education

  • 2026.09 - 2031.06(Expected), Zhejiang University, Ph.D. in Computer Science and Technology
  • 2022.09 - 2026.06(Expected), Huazhong University of Science and Technology, B.E. in Artificial Intelligence

💻 Internship

  • 2025.08, Research Intern, School of Artificial Intelligence (SAI), Shanghai Jiao Tong University (Advised by Prof. Wenzhao Lian)
  • 2025.04 - 2025.07, Research Intern, National Engineering Laboratory for Video Technology, Peking University
  • 2024.05 - 2025.03, Research Intern, Intelligence Manufacturing and Data Science Laboratory, Huazhong University of Science and Technology