Welcome to my website!
News
- August 2024: Xinyu Wang and Yingcong Zhang join the group!
- July 2024: Our paper “DiffTune-MPC: Closed-Loop Learning for Model Predictive Control” has been published in IEEE Robotics and Automation Letters.
- May 2024: Our paper “Reliable Majority Vote Computation with Complementary Sequences for UAV Waypoint Flight Control” has been published in IEEE Transactions on Wireless Communications.
- January 2024: Connor Chonko and Davis Mo join the group!
- November 2023: Xin Zhang successfully defends his Ph.D. dissertation “Robustness of Convolutional Neural Networks: Analysis and Applications”. He will become an assistant professor at the University of Southern Maine.
- Sebtember 2023: Our project “Collaborative Research: SLES: Guaranteed Tubes for Safe Learning across Autonomy Architectures”, collaborated with the UIUC team, is funded by the National Science Foundation (NSF).
- Sebtember 2023: Our paper “PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images” has been accepted as a REGULAR paper in IEEE Transactions on Image Processing (TIP).
- July 2023: Rabab Abdelfattah successfully defends her Ph.D. dissertation “Robust Deep Learning Models for Multi-Label Image Classification in Limited and Free Annotation Scenarios”. She will become an assistant professor at the University of Southern Mississippi.
- July 2023: Our paper “CDUL: Clip-Driven Unsupervised Learning for Multi-Label Image Classification” has been accepted by International Conference on Computer Vision (ICCV) 2023.
- June 2023: Our paper “D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators” has been accepted by International Conference Advanced Data Mining and Applications (ADMA) 2023.
- March 2023: Our paper “Distributed Lebesgue Approximation Model for Distributed Continuous-Time Nonlinear Systems” has been accepted by IEEE Transactions on Cybernetics.
Positions for PhD Students
Positions for PhD students are available in my group. Students with solid background in control theory, robotics, machine learning, or applied mathematics are encouraged to apply. For more information, please contact me by email.