Shooting a moving target: Motion-prediction-based transmission for 360-degree videos. - Yanan Bao; Huasen Wu; Tianxiao Zhang; Albara Ah Ramli; Xin Liu 002 (IEEE BigData, 2016)

Falling detection of lonely elderly people based on NAO humanoid robot. - Tianxiao Zhang; Wanting Zhang; Lin Qi; Li Zhang (ICIA, 2016)

Learning-aided scheduling for mobile virtual network operators with QoS constraints. - Tianxiao Zhang; Huasen Wu; Xin Liu 002; Longbo Huang (WiOpt, 2016)

Motion-Prediction-Based Multicast for 360-Degree Video Transmissions. - Yanan Bao; Tianxiao Zhang; Amit Pande; Huasen Wu; Xin Liu 002 (SECON, 2017)

A Reliability-Based Robust Design Method for the Sealing of Slipper-Swash Plate Friction Pair in Hydraulic Piston Pump. - Tianxiao Zhang; David He (IEEE Trans. Reliab., 2018)

Real-time Golf Ball Detection and Tracking Based on Convolutional Neural Networks. - Xiaohan Zhang; Tianxiao Zhang; Yiju Yang; Zongbo Wang; Guanghui Wang 001 (SMC, 2020)

Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter. - Tianxiao Zhang; Xiaohan Zhang; Yiju Yang; Zongbo Wang; Guanghui Wang 001 (CoRR, 2020)

Six-Channel Image Representation for Cross-Domain Object Detection. - Tianxiao Zhang; Wenchi Ma; Guanghui Wang 001 (ICIG (1), 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)

Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence. - Wenchi Ma; Tianxiao Zhang; Guanghui Wang 001 (CoRR, 2021)

Dynamic Label Assignment for Object Detection by Combining Predicted and Anchor IoUs. - Tianxiao Zhang; Ajay Sharda; Bo Luo; Guanghui Wang 001 (CoRR, 2022)

An unsupervised domain adaptation model based on dual-module adversarial training. - Yiju Yang; Tianxiao Zhang; Guanyu Li; Taejoon Kim; Guanghui Wang 001 (Neurocomputing, 2022)

Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs. - Tianxiao Zhang; Bo Luo; Ajay Sharda; Guanghui Wang 001 (J. Imaging, 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)

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)

A glitch energy reduction method with low complexity dynamic element matching for data converters. - Weifeng Liu; Tianxiao Zhang; Hanchen Zhang; Hualian Tang; Li Zhang (IEICE Electron. Express, 2023)

Gender, Smoking History, and Age Prediction from Laryngeal Images. - Tianxiao Zhang; Andrés M. Bur; Shannon Kraft; Hannah Kavookjian; Bryan Renslo; Xiangyu Chen 008; Bo Luo; Guanghui Wang 001 (J. Imaging, 2023)

Improving Vision Transformers by Overlapping Heads in Multi-Head Self-Attention. - Tianxiao Zhang; Bo Luo; Guanghui Wang 001 (CoRR, 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)

Multi-objective RVEA optimization of a closed-cell segmented stent retriever for balancing biomechanical forces. - Shuo Wu; Xianming Wang; Bo Wang; Tianxiao Zhang; Shengnan Lyu (Comput. Methods Programs Biomed., 2025)

Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives. - Licai Cao; Tianxiao Zhang; Jin Cui; Anastasios P. Vassilopoulos (Eng. Appl. Artif. Intell., 2025)

Depth-Wise Convolutions in Vision Transformers for efficient training on small datasets. - Tianxiao Zhang; Wenju Xu; Bo Luo; Guanghui Wang 001 (Neurocomputing, 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)