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ORCIDZhenghao Chen
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
- 2024
[c26]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: 14026-14034- [c25]Shivesh Chaudhary
, Sivaramakrishnan Sankarapandian, Matt Sooknah, Joy Pai, Caroline McCue, Zhenghao Chen, Jun Xu:
Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models. MICCAI (7) 2024: 119-129 - [c24]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. ACM Multimedia 2024: 11022-11031 - [i17]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 abs/2404.01754 (2024) - [i16]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 abs/2405.03376 (2024) - [i15]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. CoRR abs/2405.04274 (2024) - [i14]Zicheng Wang, Zhenghao Chen, Yiming Wu, Zhen Zhao, Luping Zhou, Dong Xu:
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis. CoRR abs/2405.15463 (2024) - [i13]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 abs/2406.00791 (2024) - [i12]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 abs/2406.14399 (2024) - [i11]Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun:
Frame-Voyager: Learning to Query Frames for Video Large Language Models. CoRR abs/2410.03226 (2024) - 2023
- [c23]Zhenghao Chen, Zuhai Tian:
The impact of Intellectual Property Rights Protection on Digital Industry Innovation. BDEIM 2023: 518-522 - [c22]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CVPR 2023: 16727-16738 - [c21]Lei Liu, Zhihao Hu, Zhenghao Chen, Dong Xu:
ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision. ACM Multimedia 2023: 8047-8056 - [c20]Zhenghao Chen, Lucas Relic, Roberto Azevedo, Yang Zhang, Markus Gross, Dong Xu, Luping Zhou, Christopher Schroers:
Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers. ACM Multimedia 2023: 8543-8551 - [c19]Di Cao, Zhenghao Chen, Lechao Zhang, Yu Zhang, Jian Lu, Yanjing Lei:
An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection. SMC 2023: 1990-1995 - [i10]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CoRR abs/2303.04341 (2023) - [i9]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. CoRR abs/2309.01512 (2023) - [i8]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 abs/2311.15570 (2023) - 2022
- [j7]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: 1697-1707 (2022) - [c18]Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu:
LSVC: A Learning-based Stereo Video Compression Framework. CVPR 2022: 6063-6072 - [c17]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: 175-191 - [i7]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 abs/2208.14893 (2022) - 2021
- [c16]Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao:
Improving Facial Attribute Recognition by Group and Graph Learning. ICME 2021: 1-6 - [i6]Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao:
Improving Facial Attribute Recognition by Group and Graph Learning. CoRR abs/2105.13825 (2021) - 2020
- [j6]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: 41830-41837 (2020) - [j5]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): 609-625 (2020) - [j4]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): 1204-1218 (2020) - [j3]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): 2376 (2020) - [c15]Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang:
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. CVPR 2020: 140-149 - [c14]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) 2020: 193-209 - [i5]Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang:
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. CoRR abs/2003.14111 (2020) - [i4]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR abs/2009.05982 (2020)
2010 – 2019
- 2019
- [j2]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: 606-618 (2019) - [c13]Zhenghao Chen, Dongyi Chen, Liuhui Xue, Liang Chen:
A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices. BODYNETS 2019: 12-23 - [c12]Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu:
Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? IJCNN 2019: 1-8 - [p1]Fan Xiong, Dongyi Chen, Zhenghao Chen, Chen Jin, Shumei Dai:
Impedance Characteristics of the Skin-Electrode Interface of Dry Textile Electrodes for Wearable Electrocardiogram. Advances in Body Area Networks I 2019: 343-356 - [i3]Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic:
Composition and decomposition of GANs. CoRR abs/1901.07667 (2019) - 2018
- [j1]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): 1365-1387 (2018) - [c11]Shumei Dai, Dongyi Chen, Fan Xiong, Zhenghao Chen:
Motion Artifact Reduction in Electrocardiogram Using Adaptive Filtering Based on Skin-Potential Variation Monitoring. BODYNETS 2018: 465-472 - 2017
- [c10]Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam:
Real-time programming exercise feedback in MOOCs. EDM 2017 - [c9]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: 460-469 - [c8]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: 669-676 - [c7]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: 1133-1140 - [i2]Zhenghao Chen, Jianlong Zhou, Xiuying Wang:
Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach. CoRR abs/1707.02554 (2017) - 2016
- [c6]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: 643-651 - 2013
- [c5]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. EDM 2013: 153-160 - [i1]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. CoRR abs/1307.2579 (2013) - 2011
- [c4]Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng:
On Random Weights and Unsupervised Feature Learning. ICML 2011: 1089-1096 - [c3]Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng:
Learning Deep Energy Models. ICML 2011: 1105-1112 - [c2]Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng:
Sparse Filtering. NIPS 2011: 1125-1133 - 2010
- [c1]Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng:
Tiled convolutional neural networks. NIPS 2010: 1279-1287
Coauthor Index
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