Xin Geng

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 163

Top Venues

CoRR

IJCAI

AAAI

Frontiers Comput. Sci.

Publications

Yunlong Tang, Yuxuan Wan, Lei Qi, Xin Geng
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization. CoRR (2024)
Alp Muharremoglu, Nan Yang, Xin Geng
Single-Product Assemble-to-Order Systems with Exogenous Lead Times. Oper. Res. 72 (3) (2024)
Hongsong Wang, Yin Zhu, Xin Geng
Flexible Music-Conditioned Dance Generation with Style Description Prompts. CoRR (2024)
Chenghao Li, Lei Qi, Xin Geng
A SAM-guided Two-stream Lightweight Model for Anomaly Detection. CoRR (2024)
Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng
Auto-encoding score distribution regression for action quality assessment. Neural Comput. Appl. 36 (2) (2024)
Tan Meng, Hanqing Jiao, Yi Zhang, Yi Zhou, Shaoying Chen, Xinrui Wang, Bowen Yang, Jie Sun, Xin Geng, Dilay Hazal Ayhan, Li Guo
, a cross-kingdom fungal pathogen. Database J. Biol. Databases Curation 2024 (2024)
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
Efficient Diffusion Training via Min-SNR Weighting Strategy. CoRR (2023)
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
Efficient Diffusion Training via Min-SNR Weighting Strategy. ICCV (2023)
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
NormAUG: Normalization-guided Augmentation for Domain Generalization. CoRR (2023)
Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng
Progressive Enhancement of Label Distributions for Partial Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng
A Novel Cross-Perturbation for Single Domain Generalization. CoRR (2023)
Qiufeng Wang, Xu Yang, Shuxia Lin, Xin Geng
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models. CoRR (2023)
Jin Yuan, Yang Zhang, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
Hybrid Representation Learning via Epistemic Graph. CoRR (2023)
Zhiqiang Kou, Yuheng Jia, Xin Geng
Inaccurate Label Distribution Learning. CoRR (2023)
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
Exploring Diverse In-Context Configurations for Image Captioning. CoRR (2023)
Biao Liu, Jie Wang, Ning Xu, Xin Geng
Can Class-Priors Help Single-Positive Multi-Label Learning? CoRR (2023)
Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
Building Variable-sized Models via Learngene Pool. CoRR (2023)
Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
Balanced masking strategy for multi-label image classification. Neurocomputing 522 (2023)
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
Imbalanced Label Distribution Learning. AAAI (2023)
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
Unreliable Partial Label Learning with Recursive Separation. IJCAI (2023)
Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. CoRR (2023)
Shunxin Guo, Hongsong Wang, Xin Geng
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes. CoRR (2023)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CVPR (2023)
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
Unreliable Partial Label Learning with Recursive Separation. CoRR (2023)
Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng
Generalizable Metric Network for Cross-domain Person Re-identification. CoRR (2023)
Jin Yin, Boyu Zhang, Xin Geng, Zimin Yin, Hongyan Lin
Research on the Intelligent manufacturing Path of Equipment Manufacturing Enterprises Based on Factor Load Matrix Model. KES (2023)
Chao Tan, Sheng Chen, Xin Geng, Genlin Ji
A Novel Label Enhancement Algorithm Based on Manifold Learning. Pattern Recognit. 135 (2023)
Xin Geng, Jie Xu
Analysis of Transmission Characteristics of ECPT System Based on LCLC-LC Compensation. IEEE Access 11 (2023)
Yu Shi, Dong-Dong Wu, Xin Geng, Min-Ling Zhang
Robust Representation Learning for Unreliable Partial Label Learning. CoRR (2023)
Jing Wang, Xin Geng
Label Distribution Learning by Exploiting Label Distribution Manifold. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
Variational Label-Correlation Enhancement for Congestion Prediction. CoRR (2023)
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
Exploiting Multi-Label Correlation in Label Distribution Learning. CoRR (2023)
Congyu Qiao, Ning Xu, Xin Geng
Decompositional Generation Process for Instance-Dependent Partial Label Learning. ICLR (2023)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CoRR (2023)
Yinghui Huang, Ruoxi Yang, Xin Geng, Zongan Li, Ye Wu
Two Filters for Acquiring the Profiles from Images Obtained from Weak-Light Background, Fluorescence Microscope, Transmission Electron Microscope, and Near-Infrared Camera. Sensors 23 (13) (2023)
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. ICML (2023)
Fu Feng, Jing Wang, Congzhi Zhang, Wenqian Li, Xu Yang, Xin Geng
Genes in Intelligent Agents. CoRR (2023)
Zihan Chen, Hongyuan Zhu, Hao Cheng, Siya Mi, Yu Zhang, Xin Geng
LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training. Pattern Recognit. 135 (2023)
Xintao Hu, Xiaogang Cheng, Zhaobin Wang, Jie Ni, Bo Zhang, Bo Gao, Yan Zhang, Xin Geng, Limin Song
A Novel Attention-DeblurGAN-Based Defogging Algorithm. ICIG (2) (2023)
Ke Wang, Ning Xu, Miaogen Ling, Xin Geng
Fast Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Hua Yuan, Ning Xu, Yu Shi, Xin Geng, Yong Rui
Learning From Biased Soft Labels. CoRR (2023)
Chao Tan, Sheng Chen, Xin Geng, Genlin Ji
A label distribution manifold learning algorithm. Pattern Recognit. 135 (2023)
Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
Graph Attention Transformer Network for Multi-label Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 19 (4) (2023)
Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
Continuous label distribution learning. Pattern Recognit. 133 (2023)
Haoyu Ma, Ningning Lu, Junjun Mei, Tao Guan, Yu Zhang, Xin Geng
Label distribution learning for scene text detection. Frontiers Comput. Sci. 17 (6) (2023)
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. ICML (2023)
Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui
Learning From Biased Soft Labels. NeurIPS (2023)
Lei Qi, Dongjia Zhao, Yinghuan Shi, Xin Geng
Patch-aware Batch Normalization for Improving Cross-domain Robustness. CoRR (2023)
Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. Pattern Recognit. 140 (2023)
Jin Yin, Xin Geng, Zimin Yin, Yang Yu
Research on Strategic Decision Model of Total Factor Productivity And Its Growth Rate - - Take The Strategic Formulation of Equipment Manufacturing Enterprise as an Example. MSIE (2023)
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. ICML (2023)
Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. CoRR (2023)
Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng
Data Augmentation For Label Enhancement. CoRR (2023)
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR (2022)
Ziyang Gao, Yaping Yan, Xin Geng
Learning from Noisy Labels via Meta Credible Label Elicitation. ICIP (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS (2022)
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. CoRR (2022)
Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
Learngene: From Open-World to Your Learning Task. AAAI (2022)
Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu
Learning Hierarchical Graph Representation for Image Manipulation Detection. CoRR (2022)
Yi Ren, Ning Xu, Miaogen Ling, Xin Geng
Label distribution for multimodal machine learning. Frontiers Comput. Sci. 16 (1) (2022)
Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng
Label Distribution Learning for Generalizable Multi-source Person Re-identification. CoRR (2022)
Hongsheng Xu, Zihan Chen, Yu Zhang, Xin Geng, Siya Mi, Zhihong Yang
Weakly supervised temporal action localization with proxy metric modeling. Frontiers Comput. Sci. 17 (2) (2022)
Jing Wang, Xin Geng, Hui Xue
Re-Weighting Large Margin Label Distribution Learning for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
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) (2022)
Lingxiu Dong, Xin Geng, Guang Xiao, Nan Yang
Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields. Manuf. Serv. Oper. Manag. 24 (1) (2022)
Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. ACM Multimedia (2022)
Xin Geng, Xiaomeng Guo, Guang Xiao
Impact of Social Interactions on Duopoly Competition with Quality Considerations. Manag. Sci. 68 (2) (2022)
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. CoRR (2022)
Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng
Label Distribution Learning for Generalizable Multisource Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI (2022)
Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, Baining Guo
Language-Guided Face Animation by Recurrent StyleGAN-based Generator. CoRR (2022)
Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang
Multilabel Ranking With Inconsistent Rankers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Chao Tan, Sheng Chen, Genlin Ji, Xin Geng
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Jin Shi, Xin Geng, Shaocheng Yan, Kai Xu, Yanyun Chen
An Approach to Achieving Multiple Mutual Coupling Nulls in MIMO Stacked Patch Antenna for Decoupling Bandwidth Enhancement. IEEE Trans. Circuits Syst. II Express Briefs 69 (12) (2022)
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) (2022)
Congyu Qiao, Ning Xu, Xin Geng
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR (2022)
Kate Smith-Miles, Xin Geng
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
Fusion Label Enhancement for Multi-Label Learning. IJCAI (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR (2022)
Chao Tan, Sheng Chen, Genlin Ji, Xin Geng
Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning. IEEE Trans. Cybern. 52 (6) (2022)
Minxue Zhang, Ning Xu, Xin Geng
Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognit. Lett. 155 (2022)
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 (2022)
Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
Graph Attention Transformer Network for Multi-Label Image Classification. CoRR (2022)
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng
Compact learning for multi-label classification. Pattern Recognit. 113 (2021)
Huiying Zhang, Yu Zhang, Xin Geng
Practical age estimation using deep label distribution learning. Frontiers Comput. Sci. 15 (3) (2021)
Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
Learngene: From Open-World to Your Learning Task. CoRR (2021)
Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng
Auto-Encoding Score Distribution Regression for Action Quality Assessment. CoRR (2021)
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. CoRR (2021)
Jing Wang, Xin Geng
Label Distribution Learning Machine. ICML (2021)
Jing Wang, Xin Geng
Learn the Highest Label and Rest Label Description Degrees. IJCAI (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. NeurIPS (2021)
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) (2021)
Ning Xu, Yun-Peng Liu, Xin Geng
Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
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 (2021)
Xin Geng
Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning. WI/IAT (2021)
Jianjiao Yu, Xin Geng, Huili Zheng
Broadband Miniaturized Dual-linear Polarization Antenna Based on Short Circuit Loading. ICCBN (2021)
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) (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. CoRR (2021)
Yongbiao Gao, Ning Xu, Xin Geng
Video Summarization via Label Distributions Dual-Reward. IJCAI (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xin Geng