Object Detection with Convolutional Neural Networks. - Kaidong Li; Wenchi Ma; Usman Sajid; Yuanwei Wu; Guanghui Wang 001 (CoRR, 2019)

Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling. - Wenchi Ma; Miao Yu; Kaidong Li; Guanghui Wang 001 (ICTAI, 2020)

Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection. - Wenchi Ma; Kaidong Li; Guanghui Wang 001 (IEEE Access, 2020)

A Comparative Study on Polyp Classification using Convolutional Neural Networks. - Krushi Patel; Kaidong Li; Ke Tao; Quan Wang; Ajay Bansal; Amit Rastogi; Guanghui Wang 001 (CoRR, 2020)

SGNet: A Super-class Guided Network for Image Classification and Object Detection. - Kaidong Li; Nina Y. Wang; Yiju Yang; Guanghui Wang 001 (CRV, 2021)

Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations. - Kaidong Li; Mohammad I. Fathan; Krushi Patel; Tianxiao Zhang; Cuncong Zhong; Ajay Bansal; Amit Rastogi; Jean S. Wang; Guanghui Wang 001 (CoRR, 2021)

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. - Kaidong Li; Ziming Zhang; Cuncong Zhong; Guanghui Wang 001 (CVPR, 2022)

Dilated Continuous Random Field for Semantic Segmentation. - Xi Mo; Xiangyu Chen 008; Cuncong Zhong; Rui Li; Kaidong Li; Usman Sajid (ICRA, 2022)

Dilated Continuous Random Field for Semantic Segmentation. - Xi Mo; Xiangyu Chen; Cuncong Zhong; Rui Li; Kaidong Li; Usman Sajid (CoRR, 2022)

On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild. - Raiyan Rahman; Christopher Indris; Tianxiao Zhang; Kaidong Li; Brian McCornack; Daniel Flippo; Ajay Sharda; Guanghui Wang 001 (CVPR Workshops, 2023)

H2V4Sports: Real-Time Horizontal-to-Vertical Video Converter for Sports Lives via Fast Object Detection and Tracking. - Yi Han; Kaidong Li; Zihan Song 003; Wei Feng; Xiang Cao; Shida Guo; Xin Wang 019; Xuguang Duan; Wenwu Zhu 001 (ACM Multimedia, 2023)

Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation. - Zihao Wu 005; Xin Wang 019; Hong Chen 011; Kaidong Li; Yi Han; Lifeng Sun; Wenwu Zhu 001 (ACM Multimedia, 2023)

Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. - Xiangyu Chen 008; Qinghao Hu; Kaidong Li; Cuncong Zhong; Guanghui Wang 001 (WACV, 2023)

A New Dataset and Comparative Study for Aphid Cluster Detection. - Tianxiao Zhang; Kaidong Li; Xiangyu Chen 008; Cuncong Zhong; Bo Luo; Ivan Grijalva Teran; Brian McCornack; Daniel Flippo; Ajay Sharda; Guanghui Wang 001 (CoRR, 2023)

Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models. - Tianxiao Zhang; Kaidong Li; Xiangyu Chen 008; Cuncong Zhong; Bo Luo; Ivan Grijalva Teran; Brian McCornack; Daniel Flippo; Ajay Sharda; Guanghui Wang 001 (CoRR, 2023)

Robust Structured Declarative Classifiers for Point Clouds. - Ziming Zhang; Kaidong Li; Guanghui Wang 001 (World Sci. Annu. Rev. Artif. Intell., 2024)

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. - Raiyan Rahman; Christopher Indris; Goetz Bramesfeld; Tianxiao Zhang; Kaidong Li; Xiangyu Chen 008; Ivan Grijalva; Brian McCornack; Daniel Flippo; Ajay Sharda; Guanghui Wang 001 (J. Imaging, 2024)

PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. - Kaidong Li; Tianxiao Zhang; Kuan-Chuan Peng; Guanghui Wang (CVPR Workshops, 2025)

Deep learning and machine learning methods based on the NIRS dataset for rapid determination of the nutrients content and quality of oat hay. - Li Wang; Tao Wang; Luming Dai; Fei Li; Tao Guo; Fadi Li; Zhiyuan Ma; Kaidong Li; Hui Xu; Maimaiti Reshalaitihan (Comput. Electron. Agric., 2025)

Robust 3D point clouds classification based on declarative defenders. - Kaidong Li; Tianxiao Zhang; Cuncong Zhong; Ziming Zhang; Guanghui Wang 001 (Neural Comput. Appl., 2025)