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Chengkai Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j6]Chengkai Zhang
, Rakiba Rayhana, Ling Bai
, Zheng Liu
:
CrossRanker: Cross-dimensional vessel signals fusion for destination prediction. Eng. Appl. Artif. Intell. 175: 114632 (2026)
[c16]Qishen Han, Biaoshuai Tao, Lirong Xia, Chengkai Zhang, Houyu Zhou:
Likelihood of the Existence of Average Justified Representation. SODA 2026: 1761-1794
[i12]Chengkai Zhang, Ziteng Liu, Junpu Wang, Zeyi Tao, Yang Wang, Sagar Chordia, Qin Huang:
TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models. CoRR abs/2606.06902 (2026)- 2025
[j5]Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv
:
Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8. IEEE Access 13: 76676-76683 (2025)
[j4]Dawei Wang
, Chengkai Zhang
, Jiehan Zhou
, Jinrui Wang
, Zongzhen Zhang
:
Hybrid Attention-Driven Convolutional Adversarial Network for Cross-Domain Bearing Fault Diagnosis Using Acoustic Signals. IEEE Trans. Instrum. Meas. 74: 1-11 (2025)
[c15]Biaoshuai Tao, Chengkai Zhang, Houyu Zhou:
The Degree of (Extended) Justified Representation and Its Optimization. AAMAS 2025: 2024-2032
[c14]Yi Zheng
, Fei Zhao
, Xiaohua Liu
, Min Liu
, Ming Yang
, Chengkai Zhang
, Xiangfeng Luo
:
A Multimodal Deep Learning Framework for Predicting Cardiovascular Deterioration Based on MIMIC-IV Dataset. ISAIMS 2025: 837-842
[c13]Ziqi Yu, Lirong Xia, Qishen Han, Chengkai Zhang:
How Likely Are Two Voting Rules Different? UAI 2025: 4806-4825
[i11]Mertcan Cokbas, Ziteng Liu, Zeyi Tao, Elder Veliz, Qin Huang, Ellie Wen, Huayu Li, Qiang Jin, Murat Duman, Benjamin Au, Guy Lebanon, Sagar Chordia, Chengkai Zhang
:
C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems. CoRR abs/2510.02215 (2025)
[i10]Qishen Han, Biaoshuai Tao, Lirong Xia, Chengkai Zhang, Houyu Zhou:
Likelihood of the Existence of Average Justified Representation. CoRR abs/2510.18718 (2025)- 2024
[j3]Hongchen Ji
, Xiang-Xu Wang
, Qiong Zhang, Chengkai Zhang, Hong-Mei Zhang:
Predicting TCR sequences for unseen antigen epitopes using structural and sequence features. Briefings Bioinform. 25(3) (2024)
[i9]Biaoshuai Tao, Chengkai Zhang, Houyu Zhou:
The Degree of (Extended) Justified Representation and Its Optimization. CoRR abs/2412.19933 (2024)- 2023
[j2]Linyu Wei, Jueping Cai
, Kailin Wen
, Chengkai Zhang:
Local-global lightweight ViT model for mini/micro-LED-chip defect recognition. Eng. Appl. Artif. Intell. 123(Part A): 106247 (2023)- 2022
[c12]Chengkai Zhang, Jichao Jiao, Wei Xu, Ning Li, Min Pang, Jianye Dong:
ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation. ICMLC 2022: 91-96- 2020
[c11]Tangkun Zhang, Jichao Jiao, Chengkai Zhang, Yaxin Zhao, Chenxu Wang, Wei Cui, Xinping Chen:
M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices. ICIP 2020: 1721-1725
2010 – 2019
- 2019
[j1]Hongguang Yun
, Chengkai Zhang, Chenggang Hou, Zheng Liu
:
An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning. IEEE Access 7: 122205-122213 (2019)
[c10]Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu:
Towards end-to-end pulsed eddy current classification and regression with CNN. I2MTC 2019: 1-5
[c9]Xiang Peng, Chengkai Zhang, Uchenna Anyaoha
, Kevin Siggers, Zheng Liu:
Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval. ISIE 2019: 2665-2670
[i8]Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu:
Towards end-to-end pulsed eddy current classification and regression with CNN. CoRR abs/1902.08553 (2019)- 2018
[c8]Xingyuan Sun, Jiajun Wu, Xiuming Zhang
, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CVPR 2018: 2974-2983
[c7]Jiajun Wu, Chengkai Zhang, Xiuming Zhang
, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) 2018: 673-691
[c6]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. ECCV (9) 2018: 762-779
[c5]Chengkai Zhang, Junchi Bin, Zheng Liu:
Wind turbine ice assessment through inductive transfer learning. I2MTC 2018: 1-6
[c4]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS 2018: 118-129
[c3]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. NeurIPS 2018: 2263-2274
[i7]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CoRR abs/1804.04610 (2018)
[i6]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. CoRR abs/1809.05067 (2018)
[i5]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction. CoRR abs/1809.05068 (2018)
[i4]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR abs/1812.02725 (2018)
[i3]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. CoRR abs/1812.11166 (2018)- 2016
[c2]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CogSci 2016
[c1]Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS 2016: 82-90
[i2]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CoRR abs/1605.01138 (2016)
[i1]Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. CoRR abs/1610.07584 (2016)
Coauthor Index
aka: Bill Freeman

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last updated on 2026-07-28 00:41 CEST by the dblp team
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