Zhenghao Chen

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Topics

Visual Analytics

Transfer Learning

Video Compression

Convolutional Neural Networks

Top Venues

Publications

Tao Han, Zhenghao Chen, Song Guo, Wanghan Xu, Lei Bai
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer. CoRR (2024)
Zicheng Wang, Zhenghao Chen, Yiming Wu, Zhen Zhao, Luping Zhou, Dong Xu
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis. CoRR (2024)
Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. CoRR (2024)
Lei Liu, Zhihao Hu, Zhenghao Chen
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor. CoRR (2024)
Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao
UFDA: Universal Federated Domain Adaptation with Practical Assumptions. AAAI (2024)
Tao Han, Song Guo, Zhenghao Chen, Wanghan Xu, Lei Bai
WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark. CoRR (2024)
Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. CoRR (2024)
Zhenghao Chen, Lucas Relic, Roberto Azevedo, Yang Zhang, Markus H. Gross, Dong Xu, Luping Zhou, Christopher Schroers
Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers. ACM Multimedia (2023)
Zhenghao Chen, Zuhai Tian
The impact of Intellectual Property Rights Protection on Digital Industry Innovation. BDEIM (2023)
Di Cao, Zhenghao Chen, Lechao Zhang, Yu Zhang, Jian Lu, Yanjing Lei
An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection. SMC (2023)
Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. CoRR (2023)
Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao
UFDA: Universal Federated Domain Adaptation with Practical Assumptions. CoRR (2023)
Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou
Neural Vector Fields: Implicit Representation by Explicit Learning. CoRR (2023)
Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou
Neural Vector Fields: Implicit Representation by Explicit Learning. CVPR (2023)
Lei Liu, Zhihao Hu, Zhenghao Chen, Dong Xu
ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision. ACM Multimedia (2023)
Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. ECCV (32) (2022)
Zhenghao Chen, Shuhang Gu, Guo Lu, Dong Xu
Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression. IEEE Trans. Image Process. 31 (2022)
Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu
LSVC: A Learning-based Stereo Video Compression Framework. CVPR (2022)
Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. CoRR (2022)
Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
Improving Facial Attribute Recognition by Group and Graph Learning. ICME (2021)
Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
Improving Facial Attribute Recognition by Group and Graph Learning. CoRR (2021)
Rui Zhang, Zhenghao Chen, Sanxing Zhang, Fei Song, Gang Zhang, Quancheng Zhou, Tao Lei
Remote Sensing Image Scene Classification with Noisy Label Distillation. Remote. Sens. 12 (15) (2020)
Zhenghao Chen, Ilya Soifer, Hugo Hilton, Leeat Keren, Vladimir Jojic
Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments. J. Comput. Biol. 27 (8) (2020)
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. CVPR (2020)
Changle Tian, Guanghui Zhou, Fengyi Lu, Zhenghao Chen, Liang Zou
An integrated multi-objective optimization approach to determine the optimal feature processing sequence and cutting parameters for carbon emissions savings of CNC machining. Int. J. Comput. Integr. Manuf. 33 (6) (2020)
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) (2020)
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. CoRR (2020)
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR (2020)
Zhenghao Chen, Rui Zhang, Gang Zhang, Zhenhuan Ma, Tao Lei
Digging Into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation. IEEE Access 8 (2020)
Zhenghao Chen, Dongyi Chen, Liuhui Xue, Liang Chen
A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices. BODYNETS (2019)
Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic
Composition and decomposition of GANs. CoRR (2019)
Fan Xiong, Dongyi Chen, Zhenghao Chen, Shumei Dai
Cancellation of motion artifacts in ambulatory ECG signals using TD-LMS adaptive filtering techniques. J. Vis. Commun. Image Represent. 58 (2019)
Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu
Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? IJCNN (2019)
Shumei Dai, Dongyi Chen, Fan Xiong, Zhenghao Chen
Motion Artifact Reduction in Electrocardiogram Using Adaptive Filtering Based on Skin-Potential Variation Monitoring. BODYNETS (2018)
Kangkang Yu, Jack Cadeaux, Nanfeng Luo, Cheng Qian, Zhenghao Chen
The role of the consistency between objective and perceived environmental uncertainty in supply chain risk management. Ind. Manag. Data Syst. 118 (7) (2018)
Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung
Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images. ICONIP (4) (2017)
Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam
Real-time programming exercise feedback in MOOCs. EDM (2017)
Zhenghao Chen, Jianlong Zhou, Xiuying Wang
Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach. CoRR (2017)
Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng
Neural net-based and safety-oriented visual analytics for time-spatial data. IJCNN (2017)
Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung
Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. ICONIP (2) (2017)
Guang Liu, Zhenghao Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Wei-Chang Yeh
A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking. ICONIP (2) (2016)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. EDM (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. CoRR (2013)
Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng
Learning Deep Energy Models. ICML (2011)
Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng
On Random Weights and Unsupervised Feature Learning. ICML (2011)
Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng
Sparse Filtering. NIPS (2011)
Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng
Tiled convolutional neural networks. NIPS (2010)