Zhenghao Chen

According to our database, Zhenghao Chen authored at least 34 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UFDA: Universal Federated Domain Adaptation with Practical Assumptions.

Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization.

Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

CoRR, 2023

An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection.

Di Cao, Zhenghao Chen, Lechao Zhang, Yu Zhang, Jian Lu, Yanjing Lei

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision.

Lei Liu, Zhihao Hu, Zhenghao Chen, Dong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers.

Zhenghao Chen, Lucas Relic, Roberto Azevedo, Yang Zhang, Markus H. Gross, Dong Xu, Luping Zhou, Christopher Schroers

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neural Vector Fields: Implicit Representation by Explicit Learning.

Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression.

Zhenghao Chen, Shuhang Gu, Guo Lu, Dong Xu

IEEE Trans. Image Process., 2022

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation.

Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

LSVC: A Learning-based Stereo Video Compression Framework.

Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improving Facial Attribute Recognition by Group and Graph Learning.

Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Remote Sensing Image Scene Classification with Noisy Label Distillation.

Rui Zhang, Zhenghao Chen, Sanxing Zhang, Fei Song, Gang Zhang, Quancheng Zhou, Tao Lei

Remote. Sens., 2020

Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments.

Zhenghao Chen, Ilya Soifer, Hugo Hilton, Leeat Keren, Vladimir Jojic

J. Comput. Biol., 2020

An integrated multi-objective optimization approach to determine the optimal feature processing sequence and cutting parameters for carbon emissions savings of CNC machining.

Changle Tian, Guanghui Zhou, Fengyi Lu, Zhenghao Chen, Liang Zou

Int. J. Comput. Integr. Manuf., 2020

Digging Into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation.

Zhenghao Chen, Rui Zhang, Gang Zhang, Zhenhuan Ma, Tao Lei

IEEE Access, 2020

Improving Deep Video Compression by Resolution-Adaptive Flow Coding.

Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu

Proceedings of the Computer Vision - ECCV 2020, 2020

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition.

Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Cancellation of motion artifacts in ambulatory ECG signals using TD-LMS adaptive filtering techniques.

Fan Xiong, Dongyi Chen, Zhenghao Chen, Shumei Dai

J. Vis. Commun. Image Represent., 2019

Composition and decomposition of GANs.

Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic

CoRR, 2019

Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?

Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu

Proceedings of the International Joint Conference on Neural Networks, 2019

A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices.

Zhenghao Chen, Dongyi Chen, Liuhui Xue, Liang Chen

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2019

Impedance Characteristics of the Skin-Electrode Interface of Dry Textile Electrodes for Wearable Electrocardiogram.

Fan Xiong, Dongyi Chen, Zhenghao Chen, Chen Jin, Shumei Dai

Proceedings of the Advances in Body Area Networks I, 2019

2018

The role of the consistency between objective and perceived environmental uncertainty in supply chain risk management.

Kangkang Yu, Jack Cadeaux, Nanfeng Luo, Cheng Qian, Zhenghao Chen

Ind. Manag. Data Syst., 2018

Motion Artifact Reduction in Electrocardiogram Using Adaptive Filtering Based on Skin-Potential Variation Monitoring.

Shumei Dai, Dongyi Chen, Fan Xiong, Zhenghao Chen

Proceedings of the 13th EAI International Conference on Body Area Networks, 2018

2017

Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach.

Zhenghao Chen, Jianlong Zhou, Xiuying Wang

CoRR, 2017

Neural net-based and safety-oriented visual analytics for time-spatial data.

Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images.

Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Layer Removal for Transfer Learning with Deep Convolutional Neural Networks.

Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Real-time programming exercise feedback in MOOCs.

Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking.

Guang Liu, Zhenghao Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Wei-Chang Yeh

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2013

Tuned Models of Peer Assessment in MOOCs.

Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller

Proceedings of the 6th International Conference on Educational Data Mining, 2013

2011

Sparse Filtering.

Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

On Random Weights and Unsupervised Feature Learning.

Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

Learning Deep Energy Models.

Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Tiled convolutional neural networks.

Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010