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ORCIDMin Xu 0001
Person information
- affiliation: University of Technology Sydney, School of Computing and Communications, Sydney, NSW, Australia
- affiliation (PhD 2010): University of Newcastle, Callaghan, NSW, Australia
- affiliation (former): National University of Singapore, Singapore
Other persons with the same name
- Min Xu — disambiguation page
- Min Xu 0002
![[0000-0002-7257-3786]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7257-3786")
— Beijing University of Posts and Telecommunications, Wireless Technology Innovation Institute, China - Min Xu 0003 — Capital Normal University, College of Information Engineering, Beijing, China (and 1 more)
- Min Xu 0004 — University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Min Xu 0005 — Beijing Normal University, School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, China (and 1 more)
- Min Xu 0006 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Min Xu 0007 — Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, China (and 1 more)
- Min Xu 0008 — Central South University, School of Physics and Electronics, Changsha, China
- Min Xu 0009 — Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA (and 1 more)
- Min Xu 0010 — Carnegie Mellon University, Machine Learning Department, School of Computer Science, Pittsburgh, PA, USA
- Min Xu 0011 — University of Alabama, Department of Geography, Tuscaloosa, AL, USA (and 2 more)
- Min Xu 0012 — Syracuse University, Department of Electrical and Computer Engineering, NY, USA
- Min Xu 0013 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 1 more)
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2020 – today
- 2024
[j83]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Center-bridged Interaction Fusion for hyperspectral and LiDAR classification. Neurocomputing 590: 127757 (2024)- [j82]Huadong Tang, Youpeng Zhao, Chaofan Du, Min Xu, Qiang Wu:
CAA: Class-Aware Affinity calculation add-on for semantic segmentation. Knowl. Based Syst. 299: 112097 (2024) - [j81]Li Wang, Lei Sang, Quangui Zhang, Qiang Wu, Min Xu:
A privacy-preserving framework with multi-modal data for cross-domain recommendation. Knowl. Based Syst. 304: 112529 (2024) - [j80]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10597-10613 (2024) - [j79]Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu:
Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion. IEEE Trans. Mob. Comput. 23(5): 4163-4180 (2024) - [j78]Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu:
Towards High-Quality Photorealistic Image Style Transfer. IEEE Trans. Multim. 26: 9892-9905 (2024) - [j77]Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2223-2234 (2024) - [j76]Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu:
Learning Graph Representations Through Learning and Propagating Edge Features. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8429-8440 (2024) - [c83]Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. MMGR@MM 2024: 12-20 - [e6]Zhiyuan Tan, Yulei Wu, Min Xu:
Big Data Technologies and Applications - 13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 555, Springer 2024, ISBN 978-3-031-52264-2 [contents] - [i30]Li Wang, Min Xu, Quangui Zhang, Yunxiao Shi, Qiang Wu:
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation. CoRR abs/2403.03578 (2024) - [i29]Li Wang, Lei Sang, Quangui Zhang, Qiang Wu, Min Xu:
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation. CoRR abs/2403.03600 (2024) - [i28]Haimin Zhang, Min Xu:
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks. CoRR abs/2404.09774 (2024) - [i27]Haimin Zhang, Min Xu:
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs. CoRR abs/2404.09809 (2024) - [i26]Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu:
Conditional Local Feature Encoding for Graph Neural Networks. CoRR abs/2405.04755 (2024) - [i25]Haimin Zhang, Jiahao Xia, Min Xu:
Differential Encoding for Improved Representation Learning over Graphs. CoRR abs/2407.02758 (2024) - [i24]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. CoRR abs/2408.08108 (2024) - [i23]Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu:
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2408.14689 (2024) - [i22]Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. CoRR abs/2409.00636 (2024) - [i21]Li Wang, Quangui Zhang, Lei Sang, Qiang Wu, Min Xu:
Federated Prototype-based Contrastive Learning for Privacy-Preserving Cross-domain Recommendation. CoRR abs/2409.03294 (2024) - 2023
- [j75]Xiaoxu Li, Yu Peng, Min Xu:
Patch-shuffle-based semi-supervised segmentation of bone computed tomography via consistent learning. Biomed. Signal Process. Control. 80(Part): 104239 (2023) - [j74]Xuan Nie, Bosong Chai, Luyao Wang, Qiyu Liao, Min Xu:
Learning enhanced features and inferring twice for fine-grained image classification. Multim. Tools Appl. 82(10): 14799-14813 (2023) - [j73]Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen:
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10358-10375 (2023) - [j72]Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
A Parametrical Model for Instance-Dependent Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14055-14068 (2023) - [j71]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Adversarial Heterogeneous Graph Neural Network for Robust Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2660-2671 (2023) - [j70]Zhong-qin Wang, J. Andrew Zhang, Min Xu, Y. Jay Guo:
Single-Target Real-Time Passive WiFi Tracking. IEEE Trans. Mob. Comput. 22(6): 3724-3742 (2023) - [j69]Haimin Zhang, Min Xu:
Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning. IEEE Trans. Multim. 25: 881-891 (2023) - [j68]Haimin Zhang, Min Xu:
Multiscale Emotion Representation Learning for Affective Image Recognition. IEEE Trans. Multim. 25: 2203-2212 (2023) - [c82]Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu:
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CVPR 2023: 19883-19892 - [c81]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c80]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR 2023 - [e5]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14355, Springer 2023, ISBN 978-3-031-46304-4 [contents] - [e4]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14356, Springer 2023, ISBN 978-3-031-46307-5 [contents] - [e3]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14357, Springer 2023, ISBN 978-3-031-46310-5 [contents] - [e2]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14358, Springer 2023, ISBN 978-3-031-46313-6 [contents] - [e1]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14359, Springer 2023, ISBN 978-3-031-46316-7 [contents] - [i20]Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu:
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CoRR abs/2303.12419 (2023) - [i19]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Multimodal Hyperspectral Image Classification via Interconnected Fusion. CoRR abs/2304.00495 (2023) - 2022
- [j67]Nhung Hong Thi Nguyen, Stuart W. Perry, Don Bone, Ha Thanh Le, Min Xu, Thuy Thi Nguyen:
Combination of Images and Point Clouds in a Generative Adversarial Network for Upsampling Crack Point Clouds. IEEE Access 10: 67198-67209 (2022) - [j66]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An efficient multitask neural network for face alignment, head pose estimation and face tracking. Expert Syst. Appl. 205: 117368 (2022) - [j65]Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang:
Distribution-Aware Margin Calibration for Semantic Segmentation in Images. Int. J. Comput. Vis. 130(1): 95-110 (2022) - [j64]Zhong-qin Wang, J. Andrew Zhang, Fu Xiao, Min Xu:
Accurate AoA Estimation for RFID Tag Array With Mutual Coupling. IEEE Internet Things J. 9(15): 12954-12972 (2022) - [j63]Shuo Yang, Songhua Wu, Tongliang Liu, Min Xu:
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9830-9843 (2022) - [j62]Qiyu Liao, Dadong Wang, Min Xu:
Category attention transfer for efficient fine-grained visual categorization. Pattern Recognit. Lett. 153: 10-15 (2022) - [j61]Ruiheng Zhang, Lixin Xu, Zhengyu Yu, Ye Shi, Chengpo Mu, Min Xu:
Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation. IEEE Trans. Multim. 24: 1735-1749 (2022) - [j60]Linhao Zhao, Shiping Wen, Min Xu, Kaibo Shi, Song Zhu, Tingwen Huang:
PID Control for Output Synchronization of Multiple Output Coupled Complex Networks. IEEE Trans. Netw. Sci. Eng. 9(3): 1553-1566 (2022) - [c79]Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu:
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. CVPR 2022: 4042-4051 - [c78]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. ICLR 2022 - [c77]Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network. ICML 2022: 25302-25312 - [i18]Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu:
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. CoRR abs/2203.06541 (2022) - [i17]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. CoRR abs/2205.09329 (2022) - 2021
- [j59]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Knowledge graph enhanced neural collaborative recommendation. Expert Syst. Appl. 164: 113992 (2021) - [j58]Sicheng Zhao, Min Xu, Qingming Huang, Björn W. Schuller:
Introduction to the Special Issue on MMAC: Multimodal Affective Computing of Large-Scale Multimedia Data. IEEE Multim. 28(2): 8-10 (2021) - [j57]Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu:
GEME: Dual-stream multi-task GEnder-based micro-expression recognition. Neurocomputing 427: 13-28 (2021) - [j56]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network. Neurocomputing 454: 417-429 (2021) - [j55]Madhumita A. Takalkar, Selvarajah Thuseethan, Sutharshan Rajasegarar, Zenon Chaczko, Min Xu, John Yearwood:
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions. Knowl. Based Syst. 212: 106566 (2021) - [j54]Haimin Zhang, Min Xu:
Graph neural networks with multiple kernel ensemble attention. Knowl. Based Syst. 229: 107299 (2021) - [j53]Lingxiang Wu, Min Xu, Lei Sang, Ting Yao, Tao Mei:
Noise Augmented Double-Stream Graph Convolutional Networks for Image Captioning. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3118-3127 (2021) - [j52]Zhiyuan Shi, Min Xu, Quan Pan:
4-D Flight Trajectory Prediction With Constrained LSTM Network. IEEE Trans. Intell. Transp. Syst. 22(11): 7242-7255 (2021) - [j51]Zhong-qin Wang, Min Xu, Ning Ye, Fu Xiao, Ruchuan Wang, Haiping Huang:
Computer Vision-Assisted 3D Object Localization via COTS RFID Devices and a Monocular Camera. IEEE Trans. Mob. Comput. 20(3): 893-908 (2021) - [j50]Lei Sang, Min Xu, Shengsheng Qian, Matt Martin, Peter Li, Xindong Wu:
Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks. IEEE Trans. Multim. 23: 2019-2032 (2021) - [j49]Haimin Zhang, Min Xu:
Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images. IEEE Trans. Multim. 23: 2033-2044 (2021) - [c76]Shuo Yang, Min Xu, Haozhe Xie, Stuart W. Perry, Jiahao Xia:
Single-View 3D Object Reconstruction From Shape Priors in Memory. CVPR 2021: 3152-3161 - [c75]Xiaoxu Li, Yu Peng, Min Xu:
Edge-enhanced Instance Segmentation of Wrist CT via a Semi-Automatic Annotation Database Construction Method. DICTA 2021: 1-8 - [c74]Zhongqin Wang, Min Xu, Fu Xiao:
Recognizing 3D Orientation of a Two-RFID-Tag Labeled Object in Multipath Environments Using Deep Transfer Learning. ICDCS 2021: 652-662 - [c73]Shuo Yang, Lu Liu, Min Xu:
Free Lunch for Few-shot Learning: Distribution Calibration. ICLR 2021 - [i16]Shuo Yang, Lu Liu, Min Xu:
Free Lunch for Few-shot Learning: Distribution Calibration. CoRR abs/2101.06395 (2021) - [i15]Haimin Zhang, Min Xu:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. CoRR abs/2102.10338 (2021) - [i14]Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses. CoRR abs/2102.13223 (2021) - [i13]Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites. CoRR abs/2102.13226 (2021) - [i12]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking. CoRR abs/2103.07615 (2021) - [i11]Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Label-noise Transition Matrix using DNNs. CoRR abs/2105.13001 (2021) - [i10]Zhongqin Wang, J. Andrew Zhang, Min Xu, Y. Jay Guo:
Single-Target Real-Time Passive WiFi Tracking. CoRR abs/2109.06006 (2021) - [i9]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. CoRR abs/2110.02687 (2021) - [i8]Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang:
Distribution-aware Margin Calibration for Semantic Segmentation in Images. CoRR abs/2112.11554 (2021) - 2020
- [j48]Kamran Shaukat, Suhuai Luo, Vijay Varadharajan, Ibrahim A. Hameed, Min Xu:
A Survey on Machine Learning Techniques for Cyber Security in the Last Decade. IEEE Access 8: 222310-222354 (2020) - [j47]Wanneng Wu, Min Xu, Qiaokang Liang, Li Mei, Yu Peng:
Multi-camera 3D ball tracking framework for sports video. IET Image Process. 14(15): 3751-3761 (2020) - [j46]Zhiyuan Shi, Quan Pan, Min Xu:
LSTM-Cubic A*-based auxiliary decision support system in air traffic management. Neurocomputing 391: 167-176 (2020) - [j45]Haimin Zhang, Min Xu:
Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation. Knowl. Based Syst. 200: 106016 (2020) - [j44]Madhumita A. Takalkar, Min Xu, Zenon Chaczko:
Manifold feature integration for micro-expression recognition. Multim. Syst. 26(5): 535-551 (2020) - [j43]Tianrong Rao, Xiaoxu Li, Min Xu:
Learning Multi-level Deep Representations for Image Emotion Classification. Neural Process. Lett. 51(3): 2043-2061 (2020) - [j42]Ruiheng Zhang, Lingxiang Wu, Yukun Yang, Wanneng Wu, Yueqiang Chen, Min Xu:
Multi-camera multi-player tracking with deep player identification in sports video. Pattern Recognit. 102: 107260 (2020) - [j41]Muhammad Usman, Mian Ahmad Jan, Alireza Jolfaei, Min Xu, Xiangjian He, Jinjun Chen:
A Distributed and Anonymous Data Collection Framework Based on Multilevel Edge Computing Architecture. IEEE Trans. Ind. Informatics 16(9): 6114-6123 (2020) - [j40]Lingxiang Wu, Min Xu, Jinqiao Wang, Stuart W. Perry:
Recall What You See Continually Using GridLSTM in Image Captioning. IEEE Trans. Multim. 22(3): 808-818 (2020) - [j39]Lingxiang Wu, Min Xu, Shengsheng Qian, Jianwei Cui:
Image to Modern Chinese Poetry Creation via a Constrained Topic-aware Model. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 53:1-53:21 (2020) - [c72]Ruiheng Zhang, Min Xu, Yaxin Shi, Jian Fan, Chengpo Mu, Lixin Xu:
Infrared Target Detection Using Intensity Saliency And Self-Attention. ICIP 2020: 1991-1995 - [c71]Yukun Yang, Ruiheng Zhang, Wanneng Wu, Yu Peng, Min Xu:
Multi-camera Sports Players 3D Localization with Identification Reasoning. ICPR 2020: 4497-4504 - [c70]Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites. ISI 2020: 1-6 - [c69]Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses. ISI 2020: 1-6 - [c68]Zhong-qin Wang, Min Xu, Ning Ye, Haiping Huang, Ruchuan Wang, Fu Xiao:
RF-Mirror: Mitigating Mutual Coupling Interference in Two-Tag Array Labeled RFID Systems. SECON 2020: 1-9 - [i7]Shuo Yang, Min Xu, Hongxun Yao:
Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory. CoRR abs/2003.03711 (2020)
2010 – 2019
- 2019
- [j38]Ruiheng Zhang, Chengpo Mu, Min Xu, Lixin Xu, Xiaofeng Xu:
Facial Component-Landmark Detection With Weakly-Supervised LR-CNN. IEEE Access 7: 10263-10277 (2019) - [j37]Xiao Chen, Xiaoying Kong, Min Xu, Kumbesan Sandrasegaran, Jiangbin Zheng:
Road Vehicle Detection and Classification Using Magnetic Field Measurement. IEEE Access 7: 52622-52633 (2019) - [j36]Ruiheng Zhang, Chengpo Mu, Min Xu, Lixin Xu, Qiaolin Shi, Junbo Wang:
Synthetic IR Image Refinement Using Adversarial Learning With Bidirectional Mappings. IEEE Access 7: 153734-153750 (2019) - [j35]Xuan Nie, Luyao Wang, Haoxuan Ding, Min Xu:
Strawberry Verticillium Wilt Detection Network Based on Multi-Task Learning and Attention. IEEE Access 7: 170003-170011 (2019) - [j34]Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu:
Multi-level region-based Convolutional Neural Network for image emotion classification. Neurocomputing 333: 429-439 (2019) - [j33]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Multi-modal multi-view Bayesian semantic embedding for community question answering. Neurocomputing 334: 44-58 (2019) - [j32]Zhong-qin Wang, Min Xu, Ning Ye, Ruchuan Wang, Haiping Huang:
RF-Focus: Computer Vision-assisted Region-of-interest RFID Tag Recognition and Localization in Multipath-prevalent Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 29:1-29:30 (2019) - [j31]Muhammad Usman, Xiangjian He, Kin-Man Lam, Min Xu, Syed Mohsin Matloob Bokhari, Jinjun Chen, Mian Ahmad Jan:
Error Concealment for Cloud-Based and Scalable Video Coding of HD Videos. IEEE Trans. Cloud Comput. 7(4): 975-987 (2019) - [c67]Thuy T. Pham, Madhumita A. Takalkar, Min Xu, Dinh Thai Hoang, H. A. Truong, Eryk Dutkiewicz, Stuart W. Perry:
Airborne Object Detection Using Hyperspectral Imaging: Deep Learning Review. ICCSA (1) 2019: 306-321 - [c66]Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao:
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. ICCV 2019: 3788-3797 - [c65]Qiyu Liao, Dadong Wang, Hamish Holewa, Min Xu:
Squeezed Bilinear Pooling for Fine-Grained Visual Categorization. ICCV Workshops 2019: 728-732 - [c64]Madhumita A. Takalkar, Haimin Zhang, Min Xu:
Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction. MMM (1) 2019: 652-664 - [c63]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. PAKDD (3) 2019: 3-14 - [i6]Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao:
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. CoRR abs/1909.04366 (