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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
[j30]Huangshui Hu, Yue Fang
, Mei Han, Xingshuo Qi:
Multi-Scale Adaptive Graph Convolution Network for Skeleton-Based Action Recognition. IEEE Access 12: 16868-16880 (2024)- [j29]Zekai Shi, Meng Zhang, Mei Han, Yaowei Zhang, Guodong Ma, Haoyuan Ren:
BresNet: Applying Residual Learning in Backpropagation Neural Networks to Predict Ground Surface Concentration of Primary Air Pollutants. Remote. Sens. 16(16): 2897 (2024) - [j28]Yinlong Xiao, Zongcheng Ji, Jianqiang Li, Mei Han:
MVT: Chinese NER Using Multi-View Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3656-3668 (2024) - [c81]Licheng Zhong, Lixin Yang, Kailin Li, Haoyu Zhen, Mei Han, Cewu Lu:
Color-NeuS: Reconstructing Neural Implicit Surfaces with Color. 3DV 2024: 631-640 - [c80]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CVPR 2024: 687-696 - [c79]Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng:
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CVPR 2024: 19321-19330 - [c78]Aniruddha Mahapatra, Richa Mishra, Renda Li, Ziyi Chen, Boyang Ding, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao:
Co-speech Gesture Video Generation with 3D Human Meshes. ECCV (89) 2024: 172-189 - [c77]Mei Han, Ying Yang, Yue Sun:
Cultivation of Creative Thinking of Middle School Students Under Gamification Teaching Mode. ICEIT 2024: 67-71 - [c76]Mei Han, Lulu Wang, Jianming Chang, Bixin Li, Chunguang Zhang:
Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes. ISSRE 2024: 120-131 - [c75]Mingye Zhu, Zhicheng Yang, Hang Zhou, Chen Du, Andy J. Y. Wong, Yibing Wei, Zhuo Deng, Mei Han, Jui-Hsin Lai:
TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection. WACV (Workshops) 2024: 794-804 - [i18]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CoRR abs/2402.04356 (2024) - [i17]Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng:
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CoRR abs/2403.02075 (2024) - [i16]Hui Wei, Shenghua He, Tian Xia, Andy Wong, Jingyang Lin, Mei Han:
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates. CoRR abs/2408.13006 (2024) - [i15]Mei Han, Lulu Wang, Jianming Chang, Bixin Li, Chunguang Zhang:
Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes. CoRR abs/2409.08512 (2024) - 2023
- [j27]Bei Li, Jiangchen Li, Mei Han:
Deep Reinforcement Learning-Based Charging Price Determination Considering the Coordinated Operation of Hydrogen Fuel Cell Electric Vehicle, Power Network and Transportation Network. IEEE Access 11: 75508-75521 (2023) - [j26]Mei Han, Qianqian Huang, Linhan Ouyang, Xufeng Zhao:
A kriging-based active learning algorithm for contour estimation of integrated response with noise factors. Eng. Comput. 39(2): 1341-1362 (2023) - [j25]Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan:
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation. Frontiers Neuroinformatics 17 (2023) - [j24]Ye Tian, Mei Han, Jinyi Zhang:
Line Segment Detection Based on False Peak Suppression and Local Hough Transform and Application to Nuclear Emulsion. IEICE Trans. Inf. Syst. 106(11): 1854-1867 (2023) - [j23]Lin Wang, Yong Chen, Chaowei Yang, Xionghui Zhou, Mei Han, Paolo Stefano Crovetti, Pui-In Mak, Rui Paulo Martins:
A 6-to-38Gb/s capture-range bang-bang clock and data recovery circuit with deliberate-current-mismatch frequency detection and interpolation-based multiphase clock generation. Int. J. Circuit Theory Appl. 51(5): 1988-2015 (2023) - [j22]Linhan Ouyang, Mei Han, Yizhong Ma, Min Wang, Chanseok Park:
Simulation optimization using stochastic kriging with robust statistics. J. Oper. Res. Soc. 74(3): 623-636 (2023) - [c74]Chen Du, Yiwei Wang, Zhicheng Yang, Hang Zhou, Mei Han, Jui-Hsin Lai:
PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images. AAAI 2023: 15775-15781 - [c73]Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai:
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract). AAAI 2023: 16198-16199 - [c72]Huangshui Hu, Hongyu Sun, Peisong Xie, Nanhao Shen, Mei Han:
Speech emotion recognition algorithm based on bimodality and attention mechanism. CNIOT 2023: 776-781 - [c71]Yongkang Fu, Mei Han:
Multi-objective optimization of robust parameter design based on Gaussian process model. ICBASE 2023: 23-27 - [c70]Fan Jia, Mei Han:
Bayesian optimization considering constrained boundary exploration. ICBASE 2023: 349-353 - [c69]Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai:
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge. ICME Workshops 2023: 462-465 - [i14]Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin:
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation. CoRR abs/2301.07322 (2023) - [i13]Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai:
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge. CoRR abs/2306.06288 (2023) - [i12]Licheng Zhong, Lixin Yang, Kailin Li, Haoyu Zhen, Mei Han, Cewu Lu:
Color-NeuS: Reconstructing Neural Implicit Surfaces with Color. CoRR abs/2308.06962 (2023) - 2022
- [j21]Ye Tian, Mei Han:
Adaptive Binarization for Vehicle State Images Based on Contrast Preserving Decolorization and Major Cluster Estimation. IEICE Trans. Inf. Syst. 105-D(3): 679-688 (2022) - [j20]Linhan Ouyang, Ling Yan, Mei Han, Xiaoguang Gu:
Survey of FMEA methods with improvement on performance inconsistency. Qual. Reliab. Eng. Int. 38(4): 1850-1868 (2022) - [j19]Tao Jin, Xiewen Hu, Bo Liu, Chuanjie Xi, Kun He, Xichao Cao, Gang Luo, Mei Han, Guotao Ma, Ying Yang, Yan Wang:
Susceptibility Prediction of Post-Fire Debris Flows in Xichang, China, Using a Logistic Regression Model from a Spatiotemporal Perspective. Remote. Sens. 14(6): 1306 (2022) - [j18]Mei Han, Linhan Ouyang:
A novel Bayesian approach for multi-objective stochastic simulation optimization. Swarm Evol. Comput. 75: 101192 (2022) - [j17]Suliang Bu, Yunxin Zhao, Tuo Zhao, Shaojun Wang, Mei Han:
Modeling Speech Structure to Improve T-F Masks for Speech Enhancement and Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2705-2715 (2022) - [c68]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CVPR 2022: 7098-7108 - [c67]Iek-Heng Chu, Ziyi Chen, Xinlu Yu, Mei Han, Jing Xiao, Peng Chang:
Self-supervised Cross-modal Pretraining for Speech Emotion Recognition and Sentiment Analysis. EMNLP (Findings) 2022: 5105-5114 - [c66]Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Asymmetry and Architectural Distortion Detection with Limited Mammography Data. MILLanD@MICCAI 2022: 163-173 - [c65]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. MICCAI (4) 2022: 535-544 - [c64]Fulin Huang, Zhicheng Yang, Hang Zhou, Chen Du, Andy J. Y. Wong, Yuchuan Gou, Mei Han, Jui-Hsin Lai:
Unsupervised Superpixel-Driven Parcel Segmentation of Remote Sensing Images Using Graph Convolutional Network. WWW (Companion Volume) 2022: 1046-1052 - [i11]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CoRR abs/2205.04114 (2022) - [i10]Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han:
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation. CoRR abs/2207.11325 (2022) - [i9]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. CoRR abs/2208.13113 (2022) - 2021
- [j16]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - [j15]Bo Liu, Kun He, Mei Han, Xiewen Hu, Guotao Ma, Mingyang Wu:
Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China. Remote. Sens. 13(9): 1653 (2021) - [c63]Zongcheng Ji, Tian Xia, Mei Han, Jing Xiao:
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization. ACL/IJCNLP (1) 2021: 2819-2827 - [c62]Meng Chen, Zhigang Zhang, Yuanping Han, Mei Han:
Artificial Intelligence Was Used To Analyze the Effects of Job Burnout on Job Stability of Professional Infection Managers in Traditional Chinese Medicine Hospitals. AIAM (ACM) 2021: 1126-1130 - [c61]Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang:
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. CVPR 2021: 3855-3864 - [c60]Suliang Bu, Yunxin Zhao, Shaojun Wang, Mei Han:
Learning Speech Structure to Improve Time-Frequency Masks. Interspeech 2021: 2731-2735 - [c59]Tuo Zhao, Yunxin Zhao, Shaojun Wang, Mei Han:
UNet++-Based Multi-Channel Speech Dereverberation and Distant Speech Recognition. ISCSLP 2021: 1-5 - [c58]Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
BI-RADS Classification of Calcification on Mammograms. MICCAI (7) 2021: 119-128 - [c57]Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Supervised Contrastive Pre-training forMammographic Triage Screening Models. MICCAI (7) 2021: 129-139 - [c56]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c55]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. MLMI@MICCAI 2021: 296-305 - [c54]Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han:
Word Similarity Based Label Smoothing in Rnnlm Training for ASR. SLT 2021: 280-285 - [c53]Zongcheng Ji, Tian Xia, Mei Han:
PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets. SMM4H@NAACL-HLT 2021: 126-127 - [c52]Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. WACV 2021: 3881-3890 - [i8]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data. CoRR abs/2103.12972 (2021) - [i7]Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR abs/2104.02847 (2021) - [i6]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - 2020
- [j14]Mei Han, Arturo Z. Vasquez:
Examination of cyber aggression by adult consumers: ethical framework and drivers. J. Inf. Commun. Ethics Soc. 18(2): 305-319 (2020) - [j13]Chunmei Xiong, Mei Han, Yan Zhao, Haiying Wan:
Diagnostic Method of Liver Cirrhosis Based on MR Image Texture Feature Extraction and Classification Algorithm. J. Medical Syst. 44(1): 11 (2020) - [j12]Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers:
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020) - [c51]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Peng Chang, Shibin Wu, Lingyun Huang, Wei Xu, Mei Han, Jing Xiao, Mingxiang Wu, Jie Ma:
MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System. HealthCom 2020: 1-7 - [c50]Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han:
Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition. ICASSP 2020: 6159-6163 - [c49]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. MICCAI (6) 2020: 200-210 - [c48]Minghao Li, Yuchuan Gou, Bo Gong, Jing Xiao, Mei Han:
GAN-based AI Drawing Board for Image Generation and Colorization. SIGGRAPH Posters 2020: 45:1-45:2 - [i5]Yuchuan Gou, Qiancheng Wu, Minghao Li, Bo Gong, Mei Han:
SegAttnGAN: Text to Image Generation with Segmentation Attention. CoRR abs/2005.12444 (2020)
2010 – 2019
- 2019
- [j11]Zehua Xu, Bin Pan, Mei Han, Jiqian Zhu, Lixin Tian:
Spatial-temporal distribution of rainfall erosivity, erosivity density and correlation with El Niño-Southern Oscillation in the Huaihe River Basin, China. Ecol. Informatics 52: 14-25 (2019) - [j10]Mei Han, Yasuhiro Takahashi, Toshikazu Sekine:
Non-floating and low-power adiabatic logic circuit. IEICE Electron. Express 16(17): 20190400 (2019) - [c47]Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Mass Detection in Mammograms. GlobalSIP 2019: 1-5 - [c46]Nan Qiao, Yi Zhao, Ruei-Sung Lin, Bo Gong, Zhongxiang Wu, Mei Han, Jiashu Liu:
Generative-Discriminative Crop Type Identification using Satellite Images. GlobalSIP 2019: 1-5 - [c45]Tian Xia, Xianfeng Rui, Chien-Lin Huang, Iek Heng Chu, Shaojun Wang, Mei Han:
An Attention Based Deep Neural Network for Automatic Lexical Stress Detection. GlobalSIP 2019: 1-5 - [c44]Yuyin Zhou, Zhe Li, Song Bai, Xinlei Chen, Mei Han, Chong Wang, Elliot K. Fishman, Alan L. Yuille:
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. ICCV 2019: 10671-10680 - [c43]Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma:
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. ICCV Workshops 2019: 362-370 - [c42]Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Lesion Detection For Mammograms. ICHI 2019: 1-3 - [c41]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI 2019: 1358-1361 - [c40]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Computer-Aided Diagnosis 2019: 1095018 - [p1]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 139-161 - [i4]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR abs/1903.02040 (2019) - [i3]Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. CoRR abs/1904.06346 (2019) - [i2]Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. CoRR abs/1904.13268 (2019) - 2018
- [c39]Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Jiaying Xu, Liang Xu, Mei Han, Jing Xiao:
City-Wide Influenza Forecasting based on Multi-Source Data. IEEE BigData 2018: 3930-3937 - [c38]Rui Gong, Zhiyao Teng, Mei Han, Lirui Wei, Yuwei Zhang, Jiansu Pu:
TranSeVis: A Visual Analytics System for Transportation Data Sensing and Exploration. CDVE 2018: 1-10 - [c37]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization With Limited Supervision. CVPR 2018: 8290-8299 - [c36]Mei Han, Qing Wang, Lirui Wei, Yuwei Zhang, Yunbo Cao, Jiansu Pu:
egoStellar: Visual Analysis of Anomalous Communication Behaviors from Egocentric Perspective. ICS 2018: 280-290 - [c35]Lirui Wei, Qinghua Hu, Mei Han, Yuwei Zhang, Chao Fan, Yunbo Rao, Jiansu Pu:
Visual Analysis for Online Communities Exploration Based on Social Data. ICS 2018: 291-301 - 2017
- [j9]Mei Han, Matthias Hwai Yong Tan:
Optimal robust and tolerance design for computer experiments with mixture proportion inputs. Qual. Reliab. Eng. Int. 33(8): 2255-2267 (2017) - [c34]Mei Han, Yasuhiro Takahashi, Toshikazu Sekine:
Low power Adiabatic Logic based on 2PC2AL. ICICDT 2017: 1-4 - [c33]Yasuhiro Takahashi, Toshikazu Sekine, Mei Han:
Operational amplifier based LC resonant circuit for adiabatic logic. MIXDES 2017: 110-113 - [i1]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. CoRR abs/1711.06373 (2017) - 2015
- [c32]Wenxiang Li, Chunchun Pi, Mei Han, Chong Ran, Wei Chen, Peng Ke:
A scheduling method for IOT-aided packaging and printing manufacturing system. QSHINE 2015: 335-340 - 2013
- [c31]Yangqing Jia, Mei Han:
Category-Independent Object-Level Saliency Detection. ICCV 2013: 1761-1768 - 2012
- [c30]Vivek Kwatra, Mei Han, Shengyang Dai:
Shadow removal for aerial imagery by information theoretic intrinsic image analysis. ICCP 2012: 1-8 - 2011
- [c29]Qi-Xing Huang, Mei Han, Bo Wu, Sergey Ioffe:
A hierarchical conditional random field model for labeling and segmenting images of street scenes. CVPR 2011: 1953-1960 - 2010
- [j8]Shufeng Zhou, Haiyun Ling, Mei Han, Huaiwei Zhang:
Ontology Generator from Relational Database Based on Jena. Comput. Inf. Sci. 3(2): 263-267 (2010) - [c28]Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan A. Essa:
Discontinuous seam-carving for video retargeting. CVPR 2010: 569-576 - [c27]Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan A. Essa:
Efficient hierarchical graph-based video segmentation. CVPR 2010: 2141-2148 - [c26]Vivek Kwatra, Mei Han:
Fast Covariance Computation and Dimensionality Reduction for Sub-window Features in Images. ECCV (2) 2010: 156-169 - [c25]Xing Xing, Yi Zhang, Mei Han:
Query Difficulty Prediction for Contextual Image Retrieval. ECIR 2010: 581-585 - [c24]Jing-Yu Cui, Saurabh Mathur, Michele Covell, Vivek Kwatra, Mei Han:
Example-based image compression. ICIP 2010: 1229-1232
2000 – 2009
- 2009
- [j7]Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Gong, Aggelos K. Katsaggelos:
SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution. IEEE Trans. Image Process. 18(5): 969-981 (2009) - [c23]Jun Zhang, Junqing Sun, Mei Han:
On Quay Crane Allocation by the Hybrid Intelligent Approach GATS. ICNC (4) 2009: 360-364 - 2008
- [c22]Mei Han, Junqing Sun:
Multi-period decision for HRP of an employee leasing center with one type of employees. ICARCV 2008: 560-565 - 2007
- [j6]Yao Liang, Mei Han:
Dynamic Bandwidth Allocation Based on Online Traffic Prediction for Real-Time MPEG-4 Video Streams. EURASIP J. Adv. Signal Process. 2007 (2007) - [j5]Mei Han, Wei Xu, Hai Tao, Yihong Gong:
Multi-object trajectory tracking. Mach. Vis. Appl. 18(3-4): 221-232 (2007) - [c21]Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Gong:
Soft Edge Smoothness Prior for Alpha Channel Super Resolution. CVPR 2007 - [c20]Shengyang Dai, Mei Han, Ying Wu, Yihong Gong:
Bilateral Back-Projection for Single Image Super Resolution. ICME 2007: 1039-1042 - 2006
- [c19]Dan Kong, Mei Han, Wei Xu, Hai Tao, Yihong Gong:
Video Super-resolution with Scene-specific Priors. BMVC 2006: 549-558 - [c18]