Chengkai Zhang

33 papers A* 4A 2B 2Misc 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CrossRanker: Cross-dimensional vessel signals fusion for destination prediction. Eng. Appl. Artif. Intell. Chengkai Zhang, Rakiba Rayhana, Ling Bai, Zheng Liu
2026	A*	`conf`	Likelihood of the Existence of Average Justified Representation. SODA Qishen Han, Biaoshuai Tao, Lirong Xia, Chengkai Zhang, Houyu Zhou
2025	—	`conf`	A Multimodal Deep Learning Framework for Predicting Cardiovascular Deterioration Based on MIMIC-IV Dataset. ISAIMS Yi Zheng, Fei Zhao, Xiaohua Liu, Min Liu, Ming Yang, Chengkai Zhang, Xiangfeng Luo
2025	J	`jnl`	C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems. CoRR 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
2025	A	`conf`	How Likely Are Two Voting Rules Different? UAI Ziqi Yu, Lirong Xia, Qishen Han, Chengkai Zhang
2025	J	`jnl`	Hybrid Attention-Driven Convolutional Adversarial Network for Cross-Domain Bearing Fault Diagnosis Using Acoustic Signals. IEEE Trans. Instrum. Meas. Dawei Wang, Chengkai Zhang, Jiehan Zhou, Jinrui Wang, Zongzhen Zhang
2025	J	`jnl`	Likelihood of the Existence of Average Justified Representation. CoRR Qishen Han, Biaoshuai Tao, Lirong Xia, Chengkai Zhang, Houyu Zhou
2025	J	`jnl`	Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8. IEEE Access Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv
2025	A	`conf`	The Degree of (Extended) Justified Representation and Its Optimization. AAMAS Biaoshuai Tao, Chengkai Zhang, Houyu Zhou
2024	J	`jnl`	Predicting TCR sequences for unseen antigen epitopes using structural and sequence features. Briefings Bioinform. Hongchen Ji, Xiang-Xu Wang, Qiong Zhang, Chengkai Zhang, Hong-Mei Zhang
2024	J	`jnl`	The Degree of (Extended) Justified Representation and Its Optimization. CoRR Biaoshuai Tao, Chengkai Zhang, Houyu Zhou
2023	J	`jnl`	Local-global lightweight ViT model for mini/micro-LED-chip defect recognition. Eng. Appl. Artif. Intell. Linyu Wei, Jueping Cai, Kailin Wen, Chengkai Zhang
2022	Misc	`conf`	ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation. ICMLC Chengkai Zhang, Jichao Jiao, Wei Xu, Ning Li, Min Pang, Jianye Dong
2020	B	`conf`	M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices. ICIP Tangkun Zhang, Jichao Jiao, Chengkai Zhang, Yaxin Zhao, Chenxu Wang, Wei Cui, Xinping Chen
2019	J	`jnl`	An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning. IEEE Access Hongguang Yun, Chengkai Zhang, Chenggang Hou, Zheng Liu
2019	—	`conf`	Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval. ISIE Xiang Peng, Chengkai Zhang, Uchenna Anyaoha, Kevin Siggers, Zheng Liu
2019	—	`conf`	Towards end-to-end pulsed eddy current classification and regression with CNN. I2MTC Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
2019	J	`jnl`	Towards end-to-end pulsed eddy current classification and regression with CNN. CoRR Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
2018	—	`conf`	Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum
2018	J	`jnl`	Learning Shape Priors for Single-View 3D Completion and Reconstruction. CoRR Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum
2018	A*	`conf`	Learning to Reconstruct Shapes from Unseen Classes. NeurIPS Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu
2018	J	`jnl`	Learning to Reconstruct Shapes from Unseen Classes. CoRR Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu
2018	A*	`conf`	Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CVPR Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman
2018	J	`jnl`	Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CoRR Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman
2018	—	`conf`	Seeing Tree Structure from Vibration. ECCV (9) Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman
2018	J	`jnl`	Seeing Tree Structure from Vibration. CoRR Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman
2018	J	`jnl`	Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman
2018	A*	`conf`	Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman
2018	—	`conf`	Wind turbine ice assessment through inductive transfer learning. I2MTC Chengkai Zhang, Junchi Bin, Zheng Liu
2016	B	`conf`	A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CogSci Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum
2016	J	`jnl`	A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CoRR Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum
2016	—	`conf`	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum
2016	J	`jnl`	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. CoRR Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum