A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. - Renqiao Zhang; Jiajun Wu 001; Chengkai Zhang; William T. Freeman; Joshua B. Tenenbaum (CogSci, 2016)

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. - Jiajun Wu 001; Chengkai Zhang; Tianfan Xue; Bill Freeman; Josh Tenenbaum 001 (NIPS, 2016)

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. - Xingyuan Sun; Jiajun Wu 001; Xiuming Zhang; Zhoutong Zhang; Chengkai Zhang; Tianfan Xue; Joshua B. Tenenbaum; William T. Freeman (CVPR, 2018)

Learning Shape Priors for Single-View 3D Completion And Reconstruction. - Jiajun Wu 001; Chengkai Zhang; Xiuming Zhang; Zhoutong Zhang; William T. Freeman; Joshua B. Tenenbaum (ECCV (11), 2018)

Seeing Tree Structure from Vibration. - Tianfan Xue; Jiajun Wu 001; Zhoutong Zhang; Chengkai Zhang; Joshua B. Tenenbaum; William T. Freeman (ECCV (9), 2018)

Wind turbine ice assessment through inductive transfer learning. - Chengkai Zhang; Junchi Bin; Zheng Liu 002 (I2MTC, 2018)

Learning to Reconstruct Shapes from Unseen Classes. - Xiuming Zhang; Zhoutong Zhang; Chengkai Zhang; Josh Tenenbaum 001; Bill Freeman; Jiajun Wu 001 (NeurIPS, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representations. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Josh Tenenbaum 001; Bill Freeman (NeurIPS, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representation. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Joshua B. Tenenbaum; William T. Freeman (CoRR, 2018)

Towards end-to-end pulsed eddy current classification and regression with CNN. - Xin Fu; Chengkai Zhang; Xiang Peng; Lihua Jian; Zheng Liu 002 (I2MTC, 2019)

Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval. - Xiang Peng; Chengkai Zhang; Uchenna Anyaoha; Kevin Siggers; Zheng Liu 002 (ISIE, 2019)

An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning. - Hongguang Yun; Chengkai Zhang; Chenggang Hou; Zheng Liu 002 (IEEE Access, 2019)

M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices. - Tangkun Zhang; Jichao Jiao; Chengkai Zhang; Yaxin Zhao; Chenxu Wang; Wei Cui; Xinping Chen (ICIP, 2020)

ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation. - Chengkai Zhang; Jichao Jiao; Wei Xu; Ning Li 015; Min Pang; Jianye Dong (ICMLC, 2022)

Local-global lightweight ViT model for mini/micro-LED-chip defect recognition. - Linyu Wei; Jueping Cai; Kailin Wen; Chengkai Zhang (Eng. Appl. Artif. Intell., 2023)

Predicting TCR sequences for unseen antigen epitopes using structural and sequence features. - Hongchen Ji; Xiang-Xu Wang; Qiong Zhang; Chengkai Zhang; Hong-Mei Zhang (Briefings Bioinform., 2024)

The Degree of (Extended) Justified Representation and Its Optimization. - Biaoshuai Tao; Chengkai Zhang; Houyu Zhou (AAMAS, 2025)

How Likely Are Two Voting Rules Different? - Ziqi Yu; Lirong Xia; Qishen Han; Chengkai Zhang (UAI, 2025)

Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8. - Chengkai Zhang; Xiaocui Feng; Pujun Mao; Fuyan Lv (IEEE Access, 2025)

Hybrid Attention-Driven Convolutional Adversarial Network for Cross-Domain Bearing Fault Diagnosis Using Acoustic Signals. - Dawei Wang; Chengkai Zhang; Jiehan Zhou; Jinrui Wang; Zongzhen Zhang (IEEE Trans. Instrum. Meas., 2025)