Coupling Deep Textural and Shape Features for Sketch Recognition. - Qi Jia 001; Xin Fan 001; Meiyu Yu; Yuqing Liu 001; Dingrong Wang; Longin Jan Latecki (ACM Multimedia, 2020)

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. - Dingrong Wang; Hitesh Sapkota; Xumin Liu; Qi Yu 001 (ICDM, 2021)

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. - Dingrong Wang; Deep Shankar Pandey; Krishna Prasad Neupane; Zhiwei Yu; Ervine Zheng; Zhi Zheng 002; Qi Yu 001 (ICML, 2023)

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. - Hitesh Sapkota; Dingrong Wang; Zhiqiang Tao; Qi Yu 001 (NeurIPS, 2023)

Presenting Experiential Educational Machine Learning Labs. - Yang Liu; Xiaofan Que; Dingrong Wang; Samuel A. Malachowsky; Daniel E. Krutz (CSEE&T, 2024)

Accessible Learning Labs: Accessibility Education Through Experiential Learning. - Yang Liu; Xiaofan Que; Dingrong Wang; Samuel A. Malachowsky; Daniel E. Krutz (CSEE&T, 2024)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. - Dingrong Wang; Hitesh Sapkota; Zhiqiang Tao; Qi Yu 001 (KDD, 2024)

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. - Dingrong Wang; Soheil Azadvar; Jon S. Heiselman; Xiajun Jiang; Michael I. Miga; Linwei Wang (MICCAI (6), 2024)

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection. - Dingrong Wang; Hitesh Sapkota; Qi Yu 001 (NeurIPS, 2024)

Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. - Dingrong Wang; Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICLR, 2025)