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ORCIDMiao Cheng
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
[j14]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:
Simultaneous Retrieval Algorithm of Water Cloud Optical and Microphysical Properties by High-Spectral-Resolution Lidar. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)- [i9]Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai:
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S. CoRR abs/2409.04652 (2024) - 2023
- [j13]Xiangwen Shi, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang, Zhe Cui:
Few-shot semantic segmentation for industrial defect recognition. Comput. Ind. 148: 103901 (2023) - [j12]Xiangwen Shi, Zhe Cui, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang:
Multi-similarity based hyperrelation network for few-shot segmentation. IET Image Process. 17(1): 204-214 (2023) - [c20]Miao Cheng, Limin Wang:
Graph Routes From Local and Global Entrances. ICBDT 2023: 314-318 - [c19]Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta:
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD 2023: 5781-5782 - [c18]Kai Zhao, Lei Zhang, Gen Mi, Miao Cheng:
Design of Temperature Control System Based on Fuzzy PID Algorithm. RICAI 2023: 911-914 - [c17]Gen Mi, Lei Zhang, Kai Zhao, Miao Cheng:
A Secure Reinforcement Learning Dynamic Obstacle Avoidance Method Based on SSA-TD3. RICAI 2023: 1152-1155 - 2022
- [c16]Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. CIKM 2022: 3614-3623 - [c15]Miao Cheng, Xinge You:
Leachable Component Clustering. ICPR 2022: 1858-1864 - [i8]Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. CoRR abs/2202.03867 (2022) - [i7]Xiangwen Shi, Zhe Cui, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang:
Multi-similarity based Hyperrelation Network for few-shot segmentation. CoRR abs/2203.09550 (2022) - [i6]Miao Cheng, Xinge You:
Leachable Component Clustering. CoRR abs/2208.13217 (2022) - 2021
- [j11]Hailong Chen, Haijiao Sun, Miao Cheng, Wuyue Yan:
A Recommendation Approach for Rating Prediction Based on User Interest and Trust Value. Comput. Intell. Neurosci. 2021: 6677920:1-6677920:9 (2021) - [c14]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:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - 2020
- [j10]Hailong Chen, Wuyue Yan, Haijiao Sun, Miao Cheng:
Tag-Extended Collaborative Filtering Recommendation Algorithm. SN Comput. Sci. 1(5): 302 (2020) - [c13]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:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c12]Miao Cheng:
IVP-LDL: Label Distribution Learning via Preservation of Information Volumes. ICACI 2020: 64-71 - [c11]Miao Cheng, Xinge You:
Adaptive Matching of Kernel Means. ICPR 2020: 2498-2505 - [i5]Miao Cheng, Xinge You:
Adaptive Matching of Kernel Means. CoRR abs/2011.07798 (2020)
2010 – 2019
- 2019
- [c10]Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang:
Sequential Pattern Learning via Kernel Alignment. ICACI 2019: 50-55 - [c9]Yaqi Lyu, Jing Jiang, Kun Zhang, Yilun Hua, Miao Cheng:
Factorizing and Reconstituting Large-Kernel MBConv for Lightweight Face Recognition. ICCV Workshops 2019: 2689-2697 - [c8]ZhiMing Liu, Ming Shao, Jin Wang, Kaide Li, Yaonong Wang, Miao Cheng:
Exclusion-Net: Accurate Detection Algorithm for Crowd Objects. ICIT 2019: 187-191 - [c7]Lijian Mao, Feng Wang, Yaoyao Lv, Zhongshuo Zhuo, Miao Cheng:
AHFNet: Aggregation of Hierarchical Features for Crowd Counting. ISCID (1) 2019: 94-97 - [c6]Miao Cheng, Ming Liu:
Bottom-up simplied RefineNet for human clothing estimation. ISCID (1) 2019: 192-197 - 2018
- [c5]Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi:
A Family of Maximum Margin Criterion for Adaptive Learning. ICONIP (3) 2018: 375-387 - [i4]Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi:
A Family of Maximum Margin Criterion for Adaptive Learning. CoRR abs/1810.04064 (2018) - [i3]Miao Cheng, Ah Chung Tsoi:
CRH: A Simple Benchmark Approach to Continuous Hashing. CoRR abs/1810.05730 (2018) - 2017
- [j9]Miao Cheng, Ah Chung Tsoi:
Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition. Int. J. Wavelets Multiresolution Inf. Process. 15(5): 1750042:1-1750042:17 (2017) - 2016
- [c4]Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, Po-Ling Loh:
Collection, exploration and analysis of crowdfunding social networks. ExploreDB@SIGMOD/PODS 2016: 25-30 - [i2]Miao Cheng, Ah Chung Tsoi:
Adaptive Training of Random Mapping for Data Quantization. CoRR abs/1606.08808 (2016) - [i1]Miao Cheng:
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition. CoRR abs/1607.00087 (2016) - 2015
- [c3]Miao Cheng, Ah Chung Tsoi:
CRH: A simple benchmark approach to continuous hashing. GlobalSIP 2015: 1076-1080 - 2014
- [j8]Miao Cheng, Chi-Man Pun, Yuan Yan Tang:
Nonnegative class-specific entropy component analysis with adaptive step search criterion. Pattern Anal. Appl. 17(1): 113-127 (2014) - 2013
- [j7]Binrui Wang, Yinglian Jin, Miao Cheng, Weiyi Zhou:
Model Simulation and Position Control Experiments of pneumatic muscle with Shape Memory Alloy Braided Sleeve. Int. J. Robotics Autom. 28(1) (2013) - 2011
- [j6]Miao Cheng, Bin Fang, Chi-Man Pun, Yuan Yan Tang:
Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space. Neurocomputing 74(9): 1478-1484 (2011) - [j5]Miao Cheng, Bin Fang, Yuan Yan Tang, Hengxin Chen:
A Computational and Theoretical Analysis of Local Null Space Discriminant Method for Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. 25(1): 117-134 (2011) - [c2]Chi-Man Pun, Ning-Yu An, Miao Cheng:
A Region-Based Image Segmentation by Watershed Partition and DCT Energy Compaction. CGIV 2011: 131-135 - [c1]Miao Cheng, Yuan Yan Tang, Chi-Man Pun:
Nonparametric Feature Extraction via Direct Maximum Margin Alignment. ICMLA (1) 2011: 139-144 - 2010
- [j4]Miao Cheng, Bin Fang, Jing Wen, Yuan Yan Tang:
Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction. Pattern Recognit. Lett. 31(13): 1965-1974 (2010) - [j3]Miao Cheng, Bin Fang, Yuan Yan Tang, Taiping Zhang, Jing Wen:
Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition. IEEE Trans. Syst. Man Cybern. Part C 40(5): 580-591 (2010)
2000 – 2009
- 2009
- [j2]Bin Fang, Miao Cheng, Yuan Yan Tang, Guanghui He:
Improving the discriminant ability of local margin based learning method by incorporating the global between-class separability criterion. Neurocomputing 73(1-3): 536-541 (2009) - [j1]Jing Wen, Bin Fang, Yuan Yan Tang, Patrick Shen-Pei Wang, Miao Cheng, Taiping Zhang:
Combining Eodh and Directional Gradient Density for Offline Signature Verification. Int. J. Pattern Recognit. Artif. Intell. 23(6): 1161-1177 (2009)
Coauthor Index
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