Miao Cheng

According to our database, Miao Cheng authored at least 37 papers between 2009 and 2024.

Collaborative distances:

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

2024

Simultaneous Retrieval Algorithm of Water Cloud Optical and Microphysical Properties by High-Spectral-Resolution Lidar.

Kai Zhang, Lingyun Wu, Daniel Rosenfeld, Detlef Müller, Chengcai Li, Chuanfeng Zhao, Eduardo Landulfo, Cristofer Jimenez, Shuaibo Wang, Xianzhe Hu, Weize Li, Xiaotao Li, Yao Sun, Sihan Liu, Lan Wu, Xueping Wan, Wentai Chen, Chong Liu, Jian Bai, Jing Li, Wenbo Sun, Sivakumar Venkataraman, Yudi Zhou, Zhiji Deng, Ming Liu, Miao Cheng, Zhewei Fu, Weilin Pan, Dong Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S.

Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai

CoRR, 2024

2023

Few-shot semantic segmentation for industrial defect recognition.

Xiangwen Shi, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang, Zhe Cui

Comput. Ind., June, 2023

Multi-similarity based hyperrelation network for few-shot segmentation.

Xiangwen Shi, Zhe Cui, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang

IET Image Process., January, 2023

Design of Temperature Control System Based on Fuzzy PID Algorithm.

Kai Zhao, Lei Zhang, Gen Mi, Miao Cheng

Proceedings of the 5th International Conference on Robotics, 2023

A Secure Reinforcement Learning Dynamic Obstacle Avoidance Method Based on SSA-TD3.

Gen Mi, Lei Zhang, Kai Zhao, Miao Cheng

Proceedings of the 5th International Conference on Robotics, 2023

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.

Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Routes From Local and Global Entrances.

Miao Cheng, Limin Wang

Proceedings of the 6th International Conference on Big Data Technologies, 2023

2022

Leachable Component Clustering.

Miao Cheng, Xinge You

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Offline Reinforcement Learning for Mobile Notifications.

Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Recommendation Approach for Rating Prediction Based on User Interest and Trust Value.

Hailong Chen, Haijiao Sun, Miao Cheng, Wuyue Yan

Comput. Intell. Neurosci., 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Tag-Extended Collaborative Filtering Recommendation Algorithm.

Hailong Chen, Wuyue Yan, Haijiao Sun, Miao Cheng

SN Comput. Sci., 2020

Adaptive Matching of Kernel Means.

Miao Cheng, Xinge You

Proceedings of the 25th International Conference on Pattern Recognition, 2020

IVP-LDL: Label Distribution Learning via Preservation of Information Volumes.

Miao Cheng

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

AHFNet: Aggregation of Hierarchical Features for Crowd Counting.

Lijian Mao, Feng Wang, Yaoyao Lv, Zhongshuo Zhuo, Miao Cheng

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Bottom-up simplied RefineNet for human clothing estimation.

Miao Cheng, Ming Liu

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Exclusion-Net: Accurate Detection Algorithm for Crowd Objects.

ZhiMing Liu, Ming Shao, Jin Wang, Kaide Li, Yaonong Wang, Miao Cheng

Proceedings of the ICIT 2019, 2019

Factorizing and Reconstituting Large-Kernel MBConv for Lightweight Face Recognition.

Yaqi Lyu, Jing Jiang, Kun Zhang, Yilun Hua, Miao Cheng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Sequential Pattern Learning via Kernel Alignment.

Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang

Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018

A Family of Maximum Margin Criterion for Adaptive Learning.

Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition.

Miao Cheng, Ah Chung Tsoi

Int. J. Wavelets Multiresolution Inf. Process., 2017

2016

Adaptive Training of Random Mapping for Data Quantization.

Miao Cheng, Ah Chung Tsoi

CoRR, 2016

Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition.

Miao Cheng

CoRR, 2016

Collection, exploration and analysis of crowdfunding social networks.

Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, Po-Ling Loh

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web, 2016

2015

CRH: A simple benchmark approach to continuous hashing.

Miao Cheng, Ah Chung Tsoi

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Nonnegative class-specific entropy component analysis with adaptive step search criterion.

Miao Cheng, Chi-Man Pun, Yuan Yan Tang

Pattern Anal. Appl., 2014

2013

Model Simulation and Position Control Experiments of pneumatic muscle with Shape Memory Alloy Braided Sleeve.

Binrui Wang, Yinglian Jin, Miao Cheng, Weiyi Zhou

Int. J. Robotics Autom., 2013

2011

A Computational and Theoretical Analysis of Local Null Space Discriminant Method for Pattern Classification.

Miao Cheng, Bin Fang, Yuan Yan Tang, Hengxin Chen

Int. J. Pattern Recognit. Artif. Intell., 2011

Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space.

Miao Cheng, Bin Fang, Chi-Man Pun, Yuan Yan Tang

Neurocomputing, 2011

Nonparametric Feature Extraction via Direct Maximum Margin Alignment.

Miao Cheng, Yuan Yan Tang, Chi-Man Pun

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

A Region-Based Image Segmentation by Watershed Partition and DCT Energy Compaction.

Chi-Man Pun, Ning-Yu An, Miao Cheng

Proceedings of the Eighth International Conference on Computer Graphics, 2011

2010

Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition.

Miao Cheng, Bin Fang, Yuan Yan Tang, Taiping Zhang, Jing Wen

IEEE Trans. Syst. Man Cybern. Part C, 2010

Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction.

Miao Cheng, Bin Fang, Jing Wen, Yuan Yan Tang

Pattern Recognit. Lett., 2010

2009

Combining Eodh and Directional Gradient Density for Offline Signature Verification.

Jing Wen, Bin Fang, Yuan Yan Tang, Patrick Shen-Pei Wang, Miao Cheng, Taiping Zhang

Int. J. Pattern Recognit. Artif. Intell., 2009

Improving the discriminant ability of local margin based learning method by incorporating the global between-class separability criterion.

Bin Fang, Miao Cheng, Yuan Yan Tang, Guanghui He

Neurocomputing, 2009