Graphics and Scene Text Classification in Video. - Jiamin Xu; Palaiahnakote Shivakumara; Tong Lu; Trung Quy Phan; Chew Lim Tan (ICPR, 2014)

2D and 3D Video Scene Text Classification. - Jiamin Xu; Palaiahnakote Shivakumara; Tong Lu; Chew Lim Tan (ICPR, 2014)

Text detection in born-digital images by mass estimation. - Jiamin Xu; Palaiahnakote Shivakumara; Tong Lu; Chew Lim Tan; Michael Blumenstein (ACPR, 2015)

An Improved Information Gain Feature Selection Algorithm for SVM Text Classifier. - Jiamin Xu; Hong Jiang (CyberC, 2015)

A new method for multi-oriented graphics-scene-3D text classification in video. - Jiamin Xu; Palaiahnakote Shivakumara; Tong Lu; Chew Lim Tan; Seiichi Uchida (Pattern Recognit., 2016)

Online Global Non-rigid Registration for 3D Object Reconstruction Using Consumer-level Depth Cameras. - Jiamin Xu; Weiwei Xu; Yin Yang 002; Zhigang Deng 001; Hujun Bao (Comput. Graph. Forum, 2018)

Survey of 3D modeling using depth cameras. - Hantong Xu; Jiamin Xu; Weiwei Xu (Virtual Real. Intell. Hardw., 2019)

Low On-Resistance H-Diamond MOSFETs With 300 °C ALD-Al2O3 Gate Dielectric. - Zeyang Ren; Qi He; Jiamin Xu; Guansheng Yuan; Jinfeng Zhang; Jincheng Zhang; Kai Su; Yue Hao 001 (IEEE Access, 2020)

Sleep Analysis During Light Sleep Based on K-means Clustering and BiLSTM. - Jiamin Xu; Haojun Sun (WISA, 2021)

GCN-CAM: A new graph convolutional network-based fault diagnosis method with its interpretability analysis. - Zhiwen Chen 001; Jiamin Xu; Tao Peng 010; Chunhua Yang 001; Xinyu Fan; Weihua Gui 001 (CAA SAFEPROCESS, 2021)

Graph convolution network-based fault diagnosis method for the rectifier of the high-speed train. - Zhiwen Chen 001; Jiamin Xu; Haobin Ke; Xinyu Fan; Tao Peng 010 (ICPS, 2021)

Graph neural network-based fault diagnosis: a review. - Zhiwen Chen 001; Jiamin Xu; Cesare Alippi; Steven X. Ding; Yuri A. W. Shardt; Tao Peng 010; Chunhua Yang 001 (CoRR, 2021)

Scalable image-based indoor scene rendering with reflections. - Jiamin Xu; Xiuchao Wu; Zihan Zhu; Qixing Huang; Yin Yang 002; Hujun Bao; Weiwei Xu (ACM Trans. Graph., 2021)

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge. - Zhiwen Chen 001; Jiamin Xu; Tao Peng 010; Chunhua Yang 001 (IEEE Trans. Cybern., 2022)

Real-Time Fault Diagnosis of Pulse Rectifier in Traction System Based on Structural Model. - Xueming Li; Jiamin Xu; Zhiwen Chen 001; Shaolong Xu; Kan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Scalable neural indoor scene rendering. - Xiuchao Wu; Jiamin Xu; Zihan Zhu; Hujun Bao; Qixing Huang; James Tompkin 001; Weiwei Xu (ACM Trans. Graph., 2022)

Hybrid Position Sensorless Control Based on Estimation Position Error Switching for PMSM in Full Speed Range. - Xinran Shi; Jinglin Liu; Jiamin Xu (IECON, 2023)

Proportional Resonant Filtering For Improved SMO With Optimized Critical Saturation Switching Function. - Jiamin Xu; Jinglin Liu; Xinran Shi (IECON, 2023)

SAR-to-Optical Image Translation via Thermodynamics-inspired Network. - Mingjin Zhang; Jiamin Xu; Chengyu He; Wenteng Shang; Yunsong Li 001; Xinbo Gao 001 (CoRR, 2023)

Robust twin depth support vector machine based on average depth. - Jiamin Xu; Huamin Wang 002; Libo Zhang; Shiping Wen 001 (Knowl. Based Syst., 2023)

Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains. - Jiamin Xu; Haobin Ke; Zhiwen Chen 001; Xinyu Fan; Tao Peng 010; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2023)

The Effect of Nitrogen Annealing on the Resistive Switching Characteristics of the W/TiO2/FTO Memory Device. - Zhiqiang Yu; Xu Han; Jiamin Xu; Cheng Chen; Xinru Qu; Baosheng Liu; Zijun Sun; Tangyou Sun (Sensors, 2023)

Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application. - Zhiwen Chen 001; Haobin Ke; Jiamin Xu; Tao Peng 010; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2023)

ScaNeRF: Scalable Bundle-Adjusting Neural Radiance Fields for Large-Scale Scene Rendering. - Xiuchao Wu; Jiamin Xu; Xin Zhang; Hujun Bao; Qixing Huang; Yujun Shen; James Tompkin 001; Weiwei Xu (ACM Trans. Graph., 2023)

Data-Driven Modeling of Nonlinear Delay Differential Equations with Gap Effects using SINDy. - Jiamin Xu; Nazli Demirer; Vy Pho; Kaixiao Tian; He Zhang; Ketan Bhaidasna; Robert Darbe; Dongmei Chen (AIM, 2024)

Tabletop Scene Synthesis via Diffusion Models. - Qihuang Zheng; Jiamin Xu (CW, 2024)

Gypsophila: A Scalable and Bandwidth-Optimized Multi-Scalar Multiplication Architecture. - Changxu Liu; Hao Zhou 015; Lan Yang; Jiamin Xu; Patrick Dai; Fan Yang 001 (DAC, 2024)

3D Human Pose Estimation from Multiple Dynamic Views via Single-view Pretraining with Procrustes Alignment. - Renshu Gu; Jiajun Zhu; Yixuan Si; Fei Gao 006; Jiamin Xu; Gang Xu 001 (ACM Multimedia, 2024)

High-quality Surface Reconstruction using Gaussian Surfels. - Pinxuan Dai; Jiamin Xu; Wenxiang Xie; Xinguo Liu; Huamin Wang 001; Weiwei Xu (SIGGRAPH (Conference Paper Track), 2024)

Local Gaussian Density Mixtures for Unstructured Lumigraph Rendering. - Xiuchao Wu; Jiamin Xu; Chi Wang; Yifan Peng 001; Qixing Huang; James Tompkin 001; Weiwei Xu (SIGGRAPH Asia, 2024)

OHCA-GCN: A novel graph convolutional network-based fault diagnosis method for complex systems via supervised graph construction and optimization. - Jiamin Xu; Haobin Ke; Zhaohui Jiang 001; Siwen Mo; Zhiwen Chen 001; Wei-Hua Gui 001 (Adv. Eng. Informatics, 2024)

High-quality Surface Reconstruction using Gaussian Surfels. - Pinxuan Dai; Jiamin Xu; Wenxiang Xie; Xinguo Liu; Huamin Wang; Weiwei Xu (CoRR, 2024)

OmniSR: Shadow Removal under Direct and Indirect Lighting. - Jiamin Xu; Zelong Li; Yuxin Zheng; Chenyu Huang; Renshu Gu; Weiwei Xu; Gang Xu 001 (CoRR, 2024)

Detail-Preserving Latent Diffusion for Stable Shadow Removal. - Jiamin Xu; Yuxin Zheng; Zelong Li; Chi Wang; Renshu Gu; Weiwei Xu; Gang Xu 001 (CoRR, 2024)

A novel positive-negative graph convolutional network-based fault diagnosis method with application to complex systems. - Jiamin Xu; Siwen Mo; Zhaohui Jiang 001; Zhiwen Chen 001; Weihua Gui 001; Hongwei Wang (Neurocomputing, 2024)

SPH-Net: Hyperspectral Image Super-Resolution via Smoothed Particle Hydrodynamics Modeling. - Mingjin Zhang; Jiamin Xu; Jing Zhang 037; Haimei Zhao; Wenteng Shang; Xinbo Gao 001 (IEEE Trans. Cybern., 2024)

Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics. - Benquan Yang; Yueli Cui; Lihong Liu; Guang Chen; Jiamin Xu; Junhao Lin (Multim. Syst., 2024)

OmniSR: Shadow Removal Under Direct and Indirect Lighting. - Jiamin Xu; Zelong Li; Yuxin Zheng; Chenyu Huang; Renshu Gu; Weiwei Xu; Gang Xu (AAAI, 2025)

Detail-Preserving Latent Diffusion for Stable Shadow Removal. - Jiamin Xu; Yuxin Zheng; Zelong Li; Chi Wang; Renshu Gu; Weiwei Xu; Gang Xu (CVPR, 2025)

Effects of Self-Explanation Strategies and Panoramic Video on Learning Outcomes: A Multimodal Data Analysis. - Wenjie Luo; Jiamin Xu; Xinyan Lu; Xudong Zheng (ICEIT, 2025)

Iterative Search-Based RAG: Using Iterative Retrieval for Efficient Large Language Model Enhancement in Industrial Fault Diagnosis. - Jiamin Xu; Zhiwen Chen 001; Zhaohui Jiang 001; Dong Zhao 004; Linlin Li 005 (ICPS, 2025)

Hybrid Mesh-Neural Representation for 3D Transparent Object Reconstruction. - Jiamin Xu; Zihan Zhu; Hujun Bao; Weiwei Xu (Comput. Vis. Media, 2025)

A novel two-stage variables contribution analysis method toward explainable graph convolutional network-based industrial fault diagnosis. - Jiamin Xu; Siwen Mo; Zhiwen Chen 001; Haobin Ke; Zhaohui Jiang 001 (Eng. Appl. Artif. Intell., 2025)

Semi-supervised ISA: A novel industrial knowledge graph construction method enhanced by the fault log corpus analysis and semi-supervised learning. - Jiamin Xu; Siwen Mo; Zixuan Xu; Zhiwen Chen 001; Chao Yang; Zhaohui Jiang 001 (Reliab. Eng. Syst. Saf., 2025)

From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance. - Jiamin Xu; Ivan Nazarov; Aditya Rastogi; África Periáñez; Kyra Gan (CoRR, 2025)

MatTools: Benchmarking Large Language Models for Materials Science Tools. - Siyu Liu; Jiamin Xu; Beilin Ye; Bo Hu; David J. Srolovitz; Tongqi Wen (CoRR, 2025)

Influence Functions for Data Attribution in Linear System Identification and LQR Control. - Jiachen Li; Shihao Li; Jiamin Xu; Soovadeep Bakshi; Dongmei Chen (CoRR, 2025)