Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDXin Geng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j47]Yi Ren, Ning Xu, Miaogen Ling, Xin Geng:
Label distribution for multimodal machine learning. Frontiers Comput. Sci. 16(1): 161306 (2022)- [j46]Xin Geng
, Xiaomeng Guo, Guang Xiao:
Impact of Social Interactions on Duopoly Competition with Quality Considerations. Manag. Sci. 68(2): 941-959 (2022) - [j45]Lingxiu Dong, Xin Geng, Guang Xiao, Nan Yang:
Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields. Manuf. Serv. Oper. Manag. 24(1): 179-195 (2022) - [j44]Xin Geng, Xin Qian, Zeng-Wei Huo, Yu Zhang:
Head Pose Estimation Based on Multivariate Label Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1974-1991 (2022) - [j43]Kate Smith-Miles, Xin Geng:
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2689-2697 (2022) - [j42]Minxue Zhang, Ning Xu, Xin Geng:
Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognit. Lett. 155: 107-113 (2022) - [j41]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [i21]Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu:
Learning Hierarchical Graph Representation for Image Manipulation Detection. CoRR abs/2201.05730 (2022) - [i20]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. CoRR abs/2201.09846 (2022) - [i19]Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Graph Attention Transformer Network for Multi-Label Image Classification. CoRR abs/2203.04049 (2022) - [i18]Congyu Qiao, Ning Xu, Xin Geng:
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR abs/2204.03845 (2022) - [i17]Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. CoRR abs/2204.05104 (2022) - [i16]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multi-source Person Re-identification. CoRR abs/2204.05903 (2022) - 2021
- [j40]Huiying Zhang, Yu Zhang, Xin Geng:
Practical age estimation using deep label distribution learning. Frontiers Comput. Sci. 15(3): 153318 (2021) - [j39]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng:
Compact learning for multi-label classification. Pattern Recognit. 113: 107833 (2021) - [j38]Ning Xu, Yun-Peng Liu, Xin Geng:
Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 33(4): 1632-1643 (2021) - [j37]Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, Xin Geng:
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2057-2070 (2021) - [j36]Haitao Zhang, Xin Geng, Huadong Ma:
Learning-Driven Interference-Aware Workload Parallelization for Streaming Applications in Heterogeneous Cluster. IEEE Trans. Parallel Distributed Syst. 32(1): 1-15 (2021) - [c68]Jing Wang, Xin Geng:
Label Distribution Learning Machine. ICML 2021: 10749-10759 - [c67]Yongbiao Gao, Ning Xu, Xin Geng:
Video Summarization via Label Distributions Dual-Reward. IJCAI 2021: 2403-2409 - [c66]Jing Wang, Xin Geng:
Learn the Highest Label and Rest Label Description Degrees. IJCAI 2021: 3097-3103 - [c65]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. NeurIPS 2021: 27119-27130 - [c64]Xin Geng:
Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning. WI/IAT 2021: 7 - [i15]Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang:
Learning from Noisy Labels via Dynamic Loss Thresholding. CoRR abs/2104.02570 (2021) - [i14]Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. CoRR abs/2106.06152 (2021) - [i13]Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. CoRR abs/2106.06788 (2021) - [i12]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. CoRR abs/2110.12911 (2021) - [i11]Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng:
Auto-Encoding Score Distribution Regression for Action Quality Assessment. CoRR abs/2111.11029 (2021) - [i10]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. CoRR abs/2111.15077 (2021) - 2020
- [j35]Xin Geng, Haitao Zhang, Zhengyang Zhao, Huadong Ma:
Interference-aware parallelization for deep learning workload in GPU cluster. Clust. Comput. 23(4): 2689-2702 (2020) - [j34]Junjie Wu, Su Chen, Xin Geng:
The effect of entrepreneurial social capital on dynamic capability: the moderating role of the entrepreneurial spirit. Int. J. Wirel. Mob. Comput. 19(4): 367-375 (2020) - [j33]Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng:
Simultaneous 3D hand detection and pose estimation using single depth images. Pattern Recognit. Lett. 140: 43-48 (2020) - [c63]Ning Xu, Yun-Peng Liu, Xin Geng:
Partial Multi-Label Learning with Label Distribution. AAAI 2020: 6510-6517 - [c62]Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui:
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. CVPR 2020: 13981-13990 - [c61]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. ICML 2020: 6500-6510 - [c60]Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng:
Variational Label Enhancement. ICML 2020: 10597-10606 - [c59]Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng:
Label Distribution for Learning with Noisy Labels. IJCAI 2020: 2568-2574 - [c58]Yongbiao Gao, Yu Zhang, Xin Geng:
Label Enhancement for Label Distribution Learning via Prior Knowledge. IJCAI 2020: 3223-3229 - [c57]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [i9]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. CoRR abs/2002.08053 (2020) - [i8]Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR abs/2007.01771 (2020) - [i7]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i6]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng:
Compact Learning for Multi-Label Classification. CoRR abs/2009.08607 (2020)
2010 – 2019
- 2019
- [j32]Dan Zhang, Yinghong Wen, Jinbao Zhang, Jianjun Xiao, Dong Liu, Xin Geng:
Coupling Analysis for Shielded Cables in the Train Using Hybrid Method. IEEE Access 7: 76022-76029 (2019) - [j31]Miaogen Ling, Xin Geng:
Soft video parsing by label distribution learning. Frontiers Comput. Sci. 13(2): 302-317 (2019) - [j30]Huiqi Guan, Haresh Gurnani, Xin Geng, Yadong Luo:
Strategic Inventory and Supplier Encroachment. Manuf. Serv. Oper. Manag. 21(3): 536-555 (2019) - [j29]Huiying Zhang, Xin Geng, Yu Zhang, Fanyong Cheng:
Recurrent age estimation. Pattern Recognit. Lett. 125: 271-277 (2019) - [j28]Miaogen Ling, Xin Geng:
Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning. IEEE Trans. Image Process. 28(11): 5691-5701 (2019) - [c56]Kai Su, Xin Geng:
Soft Facial Landmark Detection by Label Distribution Learning. AAAI 2019: 5008-5015 - [c55]Jing Wang, Xin Geng:
Theoretical Analysis of Label Distribution Learning. AAAI 2019: 5256-5263 - [c54]Changdong Xu, Xin Geng:
Hierarchical Classification Based on Label Distribution Learning. AAAI 2019: 5533-5540 - [c53]Ning Xu, Jiaqi Lv, Xin Geng:
Partial Label Learning via Label Enhancement. AAAI 2019: 5557-5564 - [c52]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. CVPR 2019: 5674-5682 - [c51]Zhengjun Xu, Haitao Zhang, Xin Geng, Qiong Wu, Huadong Ma:
Adaptive Function Launching Acceleration in Serverless Computing Platforms. ICPADS 2019: 9-16 - [c50]Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng:
Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI 2019: 3101-3107 - [c49]Jing Wang, Xin Geng:
Classification with Label Distribution Learning. IJCAI 2019: 3712-3718 - [c48]Ke Wang, Xin Geng:
Discrete Binary Coding based Label Distribution Learning. IJCAI 2019: 3733-3739 - [c47]Zhengyang Zhao, Haitao Zhang, Xin Geng, Huadong Ma:
Resource-Aware Cache Management for In-Memory Data Analytics Frameworks. ISPA/BDCloud/SocialCom/SustainCom 2019: 364-371 - [i5]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information. CoRR abs/1905.03466 (2019) - [i4]Dongdong Yu, Kai Su, Xin Geng, Changhu Wang:
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation. CoRR abs/1905.05355 (2019) - 2018
- [j27]Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng:
Binary relevance for multi-label learning: an overview. Frontiers Comput. Sci. 12(2): 191-202 (2018) - [j26]Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. J. Biomed. Informatics 84: 11-16 (2018) - [c46]Ruifeng Shao, Ning Xu, Xin Geng:
Multi-label Learning with Label Enhancement. ICDM 2018: 437-446 - [c45]Haitao Zhang, Bingchang Tang, Xin Geng, Huadong Ma:
Learning Driven Parallelization for Large-Scale Video Workload in Hybrid CPU-GPU Cluster. ICPP 2018: 32:1-32:10 - [c44]Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Age Estimation Using Expectation of Label Distribution Learning. IJCAI 2018: 712-718 - [c43]Cheng-Lun Peng, An Tao, Xin Geng:
Label Embedding Based on Multi-Scale Locality Preservation. IJCAI 2018: 2623-2629 - [c42]Ke Wang, Xin Geng:
Binary Coding based Label Distribution Learning. IJCAI 2018: 2783-2789 - [c41]Ning Xu, An Tao, Xin Geng:
Label Enhancement for Label Distribution Learning. IJCAI 2018: 2926-2932 - [c40]An Tao, Ning Xu, Xin Geng:
Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. PRICAI (1) 2018: 671-683 - [e2]Xin Geng, Byeong-Ho Kang:
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11012, Springer 2018, ISBN 978-3-319-97303-6 [contents] - [e1]Xin Geng, Byeong-Ho Kang:
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11013, Springer 2018, ISBN 978-3-319-97309-8 [contents] - 2017
- [j25]Hao Zheng, Xin Geng:
Facial expression recognition via weighted group sparsity. Frontiers Comput. Sci. 11(2): 266-275 (2017) - [j24]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. 26(6): 2825-2838 (2017) - [j23]Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang:
Data-Dependent Label Distribution Learning for Age Estimation. IEEE Trans. Image Process. 26(8): 3846-3858 (2017) - [c39]Xin Geng, Miaogen Ling:
Soft Video Parsing by Label Distribution Learning. AAAI 2017: 1331-1337 - [c38]Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. AAAI 2017: 2015-2021 - [c37]Zeng-Wei Huo, Xin Geng:
Ordinal Zero-Shot Learning. IJCAI 2017: 1916-1922 - [c36]Yi Ren, Xin Geng:
Sense Beauty by Label Distribution Learning. IJCAI 2017: 2648-2654 - [c35]Xin Geng, Yinghong Wen, Jinbao Zhang:
An approach to evaluating digital transmission under electromagnetic disturbance using joint statistical parameters. ITST 2017: 1-5 - [i3]Ruifeng Shao, Xin Geng, Ning Xu:
Multi-Label Learning with Label Enhancement. CoRR abs/1706.08323 (2017) - 2016
- [j22]Xin Geng, Jiaogen Zhou, Jihong Guan:
Side-chain dynamics analysis of KE07 series. Comput. Biol. Chem. 65: 148-153 (2016) - [j21]Hao Zheng, Xin Geng, Dacheng Tao, Zhong Jin:
A multi-task model for simultaneous face identification and facial expression recognition. Neurocomputing 171: 515-523 (2016) - [j20]Xin Geng:
Opaque selling in congested systems. Oper. Res. Lett. 44(6): 737-741 (2016) - [j19]Xin Geng:
Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 28(7): 1734-1748 (2016) - [c34]Peng Hou, Xin Geng, Min-Ling Zhang:
Multi-Label Manifold Learning. AAAI 2016: 1680-1686 - [c33]Xingjian Yan, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, Xiaowei Ding:
Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies. ACCV Workshops (3) 2016: 91-101 - [c32]Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng:
Deep Age Distribution Learning for Apparent Age Estimation. CVPR Workshops 2016: 722-729 - [c31]Chao Xing, Xin Geng, Hui Xue:
Logistic Boosting Regression for Label Distribution Learning. CVPR 2016: 4489-4497 - [c30]Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng:
Emotion Distribution Learning from Texts. EMNLP 2016: 638-647 - [c29]Xu Yang, Xin Geng, Deyu Zhou:
Sparsity Conditional Energy Label Distribution Learning for Age Estimation. IJCAI 2016: 2259-2265 - [c28]Xiaowei Ding, Xin Geng, Chenfanfu Jiang, Feng Tian, Xingjian Yan, Hang Qi, Lei Zhang, Yongchang Zheng:
Fast Automated Liver Delineation from Computational Tomography Angiography. MIUA 2016: 87-92 - [c27]Hao Zheng, Xin Geng, Zhongxue Yang:
A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition. PRICAI 2016: 692-699 - [i2]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning with Label Ambiguity. CoRR abs/1611.01731 (2016) - 2015
- [j18]Zhaoxiang Zhang, Mo Wang, Xin Geng:
Crowd counting in public video surveillance by label distribution learning. Neurocomputing 166: 151-163 (2015) - [c26]Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops 2015: 344-350 - [c25]Yu-Kun Li, Min-Ling Zhang, Xin Geng:
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning. ICDM 2015: 251-260 - [c24]Xin Geng, Peng Hou:
Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning. IJCAI 2015: 3511-3517 - [c23]Ying Zhou, Hui Xue, Xin Geng:
Emotion Distribution Recognition from Facial Expressions. ACM Multimedia 2015: 1247-1250 - [r2]Xin Geng, Kate Smith-Miles:
Incremental Learning. Encyclopedia of Biometrics 2015: 912-917 - 2014
- [j17]Xin Geng, Woonghee Tim Huh, Mahesh Nagarajan:
Sequential resource allocation with constraints: Two-customer case. Oper. Res. Lett. 42(1): 70-75 (2014) - [c22]Xin Geng, Yu Xia:
Head Pose Estimation Based on Multivariate Label Distribution. CVPR 2014: 1837-1842 - [c21]Xin Geng, Longrun Luo:
Multilabel Ranking with Inconsistent Rankers. CVPR 2014: 3742-3747 - [c20]Xin Geng, Qin Wang, Yu Xia:
Facial Age Estimation by Adaptive Label Distribution Learning. ICPR 2014: 4465-4470 - [p1]Xin Geng:
Facial Age Estimation: A Data Representation Perspective. Human-Centered Social Media Analytics 2014: 149-174 - [i1]Xin Geng, Quan Zhao:
Label Distribution Learning. CoRR abs/1408.6027 (2014) - 2013
- [j16]Jianyu Lan, Houjun Tang, Xin Geng:
Finite Element Analysis of a Contactless Transformer. J. Networks 8(10): 2302-2309 (2013) - [j15]Xin Geng, Chao Yin, Zhi-Hua Zhou:
Facial Age Estimation by Learning from Label Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2401-2412 (2013) - [c19]Xin Geng, Rongzi Ji:
Label Distribution Learning. ICDM Workshops 2013: 377-383 - [c18]Yu Xia, Yongzhen Huang, Liang Wang, Xin Geng:
Pedestrian Detection Based on Incremental Learning. IScIDE 2013: 603-610 - 2012
- [j14]Xin Geng, Jihong Guan, Qiwen Dong, Shuigeng Zhou:
An improved genetic algorithm for statistical potential function design and protein structure prediction. Int. J. Data Min. Bioinform. 6(2): 162-177 (2012) - [j13]Xin Geng, Houjun Tang, Liangyu Bai, Nan Jin:
Research on Variable Structure Control Strategy Based on Direct BUCK AC-AC Converter. J. Comput. 7(11): 28052812 (2012) - [j12]Xin Geng, Xiaoguang Hu, Jin Xiao:
Quaternion switching filter for impulse noise reduction in color image. Signal Process. 92(1): 150-162 (2012) - [c17]Chao Yin, Xin Geng:
Facial Age Estimation by Conditional Probability Neural Network. CCPR 2012: 243-250 - [c16]Xin Geng, Ke Chen, Xiaoguang Hu:
An improved Canny edge detection algorithm for color image. INDIN 2012: 113-117 - [c15]Ke Chen, Xin Geng, Xiaoguang Hu:
Routing algorithm of power line carrier meter reading based on ant colony genetic algorithm. INDIN 2012: 196-201 - 2011
- [j11]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Trans. Syst. Man Cybern. Part B 41(3): 881-892 (2011) - 2010
- [j10]Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu:
Context-aware fusion: A case study on fusion of gait and face for human identification in video. Pattern Recognit. 43(10): 3660-3673 (2010) - [j9]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Trans. Knowl. Data Eng. 22(10): 1401-1414 (2010) - [c14]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou:
Facial Age Estimation by Learning from Label Distributions. AAAI 2010 - [c13]Jianyu Zhao, Diankui Tang, Xin Geng, Lei Jia:
Urban Arterial Traffic Coordination Control System. AICI (2) 2010: 275-283
2000 – 2009
- 2009
- [j8]