2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain. - Qihang Li; Gabriel Zachmann; David Feng 001; Kun Huang 001; Raghu Machiraju (IEEE Computer Graphics and Applications, 2014)

Spatiotemporal Visualization of Gene Expression in the Developing Mouse Brain. - Qihang Li; Kun Huang 001; Raghu Machiraju (EuroVis (Short Papers), 2017)

Distributed consensus of high-order continuous-time multi-agent systems with nonconvex input constraints, switching topologies, and delays. - Yalin Wang 003; Qihang Li; Quan Xiong; Shan Ma (Neurocomputing, 2019)

Research on the Coordinated Development of Global Urban Economic Competitiveness: Based on a Sample of 1007 Cities. - Xiaonan Liu; Pengfei Ni; Fangqu Niu; Bo Li; Qihang Li (Complex., 2021)

A Dual-Axis Rotation Scheme for Long-Endurance Inertial Navigation Systems. - Qihang Li; Kui Li; Wenwei Liang (IEEE Trans. Instrum. Meas., 2022)

Data-driven Shape Sensing of Continuum Dexterous Manipulators Using Embedded Capacitive Sensor. - Qihang Li; Wenpeng Wang; Joshua Liu; Amit Jain; Mehran Armand (SENSORS, 2023)

PyPose v0.6: The Imperative Programming Interface for Robotics. - Zitong Zhan; Xiangfu Li; Qihang Li; Haonan He; Abhinav Pandey; Haitao Xiao; Yangmengfei Xu; Xiangyu Chen; Kuan Xu; Kun Cao 002; Zhipeng Zhao 001; Zihan Wang 008; et al. (CoRR, 2023)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (CoRR, 2024)

Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy. - Chen Wang 033; Kaiyi Ji; Junyi Geng; Zhongqiang Ren; Taimeng Fu; Fan Yang 092; Yifan Guo; Haonan He; Xiangyu Chen; Zitong Zhan; Qiwei Du; Shaoshu Su; et al. (CoRR, 2024)

iKap: Kinematics-aware Planning with Imperative Learning. - Qihang Li; Zhuoqun Chen; Haoze Zheng; Haonan He; Shaoshu Su; Junyi Geng; Chen Wang 033 (CoRR, 2024)

A Review of Optimization Studies for System Appointment Scheduling. - Tiantian Niu; Bingyin Lei; Li Guo; Shu Fang; Qihang Li; Bingrui Gao; Li Yang 004; Kaiye Gao (Axioms, 2024)

Long short-term memory neural network- decline curve analysis production forecast method for horizontal wells in tight reservoir based on sequence decomposition and reconstruction. - Jinxin Cao; Yiqiang Li; Yaqian Zhang; Xuechen Tang; Qihang Li; Yuling Zhang; Zheyu Liu (Eng. Appl. Artif. Intell., 2025)

Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2. - Yuwen Chen 003; Zafer Yildiz; Qihang Li; Yaqian Chen; Haoyu Dong 003; Hanxue Gu; Nicholas Konz; Maciej A. Mazurowski (CoRR, 2025)

GuidedMorph: Two-Stage Deformable Registration for Breast MRI. - Yaqian Chen; Hanxue Gu; Haoyu Dong 003; Qihang Li; Yuwen Chen 003; Nicholas Konz; Lin Li; Maciej A. Mazurowski (CoRR, 2025)

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging. - Haoyu Dong 003; Yuwen Chen 003; Hanxue Gu; Nicholas Konz; Yaqian Chen; Qihang Li; Maciej A. Mazurowski (CoRR, 2025)

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? - Hanxue Gu; Yaqian Chen; Nicholas Konz; Qihang Li; Maciej A. Mazurowski (CoRR, 2025)

BreastSegNet: Multi-label Segmentation of Breast MRI. - Qihang Li; Jichen Yang; Yaqian Chen; Yuwen Chen 003; Hanxue Gu; Lars J. Grimm; Maciej A. Mazurowski (CoRR, 2025)