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Miao Cheng
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2020 – today
- 2024
- [j14]Kai Zhang
, Lingyun Wu, Daniel Rosenfeld, Detlef Müller, Chengcai Li
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
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
Graph Routes From Local and Global Entrances. ICBDT 2023: 314-318 - [c19]Aman 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
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
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
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
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
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
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
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
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
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
Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space. Neurocomputing 74(9): 1478-1484 (2011) - [j5]Miao Cheng
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
A Region-Based Image Segmentation by Watershed Partition and DCT Energy Compaction. CGIV 2011: 131-135 - [c1]Miao Cheng
Nonparametric Feature Extraction via Direct Maximum Margin Alignment. ICMLA (1) 2011: 139-144 - 2010
- [j4]Miao Cheng
Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction. Pattern Recognit. Lett. 31(13): 1965-1974 (2010) - [j3]Miao Cheng
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
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
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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