Hysteresis Modeling of Piezoelectric Actuators Using the Fuzzy System. - Pengzhi Li; Guoying Gu; Leijie Lai; Limin Zhu 001 (ICIRA (1), 2010)

Design of a decoupled 2-DOF translational parallel micro-positioning stage. - Leijie Lai; Guoying Gu; Pengzhi Li; Limin Zhu 001 (ICRA, 2011)

Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application. - Pengzhi Li; Peiyue Li; Yongxin Sui (IEEE Trans. Fuzzy Syst., 2016)

Piezoelectric Actuated Phase Shifter Based on External Laser Interferometer: Design, Control and Experimental Validation. - Pengzhi Li; Xiao-Dong Wang; Yongxin Sui; De-Fu Zhang; Dong-Fang Wang; Li-Jian Dong; Ming-Yang Ni (Sensors, 2017)

A Novel Grading Method of Cataract Based on AWM. - Changshaui Huo; Faheem Akhtar; Pengzhi Li (COMPSAC (2), 2019)

A multi-label classification model for full slice brain computerised tomography image. - Jianqiang Li 002; Guanghui Fu; Yueda Chen; Pengzhi Li; Bo Liu 024; Yan Pei 001; Hui Feng (BMC Bioinform., 2020)

A High-Voltage and Low-Noise Power Amplifier for Driving Piezoelectric Stack Actuators. - Lisong Xu; Hongwen Li; Pengzhi Li; Chuan Ge (Sensors, 2020)

Clustering-Based Data Collection Using Concurrent Transmission in Wireless Sensor Network. - Yang Zhang; Jinzhi Liu; Pengzhi Li; Kaien Lin; Bing Wu; Qinghu Sun (ICCBN, 2021)

A Reliable Low-power and High Throughput Wireless Sensor Network Data Collection. - Kaien Lin; Jinzhi Liu; Yang Zhang; Pengzhi Li (WCNC, 2021)

Classification and recognition of computed tomography images using image reconstruction and information fusion methods. - Pengzhi Li; Jianqiang Li 002; Yueda Chen; Yan Pei 001; Guanghui Fu; Haihua Xie (J. Supercomput., 2021)

Rethinking Feature Context in Learning Image-Guided Depth Completion. - Yikang Ding; Pengzhi Li; Dihe Huang; Zhiheng Li 001 (ICANN (3), 2023)

Efficient Temporal Denoising for Improved Depth Map Applications. - Pengzhi Li; Zhiheng Li 001 (Tiny Papers @ ICLR, 2023)

Towards Practical Consistent Video Depth Estimation. - Pengzhi Li; Yikang Ding; Linge Li; Jingwei Guan; Zhiheng Li 001 (ICMR, 2023)

LayerDiffusion: Layered Controlled Image Editing with Diffusion Models. - Pengzhi Li; Qinxuan Huang; Yikang Ding; Zhiheng Li 001 (SIGGRAPH Asia Technical Communications, 2023)

Data Flow Control for Network Load Balancing in IEEE Time Sensitive Networks for Automation. - Thomas Weichlein; Shujun Zhang; Pengzhi Li; Xu Zhang 042 (IEEE Access, 2023)

A comprehensive survey on design and application of autoencoder in deep learning. - Pengzhi Li; Yan Pei 001; Jianqiang Li 002 (Appl. Soft Comput., 2023)

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Yangyang Zhang; Cailin Wu; Zhuangda He; Shuangshuang Yin; et al. (CVPR Workshops, 2024)

Tuning-Free Image Customization with Image and Text Guidance. - Pengzhi Li; Qiang Nie; Ying Chen; Xi Jiang 009; Kai Wu; Yuhuan Lin; Yong Liu 032; Jinlong Peng; Chengjie Wang; Feng Zheng (ECCV (76), 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

MD2VO: Enhancing Monocular Visual Odometry through Minimum Depth Difference. - Pengzhi Li; Chengshuai Tang; Yifu Duan; Zhiheng Li (IJCNN, 2024)

Medical Image Recognition Using a Novel Neural Network Construction Controlled by a Kernel Method Encoder. - Pengzhi Li; Yan Pei 001; Jianqiang Li 002; Haihua Xie (IEEE Access, 2024)

Sketch-to-Architecture: Generative AI-aided Architectural Design. - Pengzhi Li; Baijuan Li; Zhiheng Li 001 (CoRR, 2024)

The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion. - Pengzhi Li; Yikang Ding; Haohan Wang; Chengshuai Tang; Zhiheng Li 001 (CoRR, 2024)

Generating Daylight-driven Architectural Design via Diffusion Models. - Pengzhi Li; Baijuan Li (CoRR, 2024)

ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes Generation. - Pengzhi Li; Chengshuai Tang; Qinxuan Huang; Zhiheng Li 001 (CoRR, 2024)

LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation. - Pengzhi Li; Pengfei Yu; Zide Liu; Wei He; Xuhao Pan; Xudong Rao; Tao Wei; Wei Chen (CoRR, 2025)