Geng, Xin

85 publications

NeurIPS 2025 Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu, Ning Xu, Jie Wang, Xin Geng

NeurIPS 2025 ECO: Evolving Core Knowledge for Efficient Transfer Fu Feng, Yucheng Xie, Ruixiao Shi, Jianlu Shen, Jing Wang, Xin Geng

ICML 2025 Fast Large Language Model Collaborative Decoding via Speculation Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang

NeurIPS 2025 FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network Shuo Xu, Yu Chen, Shuxia Lin, Xin Geng, Xu Yang

ICCV 2025 Improved Noise Schedule for Diffusion Training Tiankai Hang, Shuyang Gu, Jianmin Bao, Fangyun Wei, Dong Chen, Xin Geng, Baining Guo

AAAI 2025 Inheriting Generalized Learngene for Efficient Knowledge Transfer Across Multiple Tasks Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng

ICML 2025 KIND: Knowledge Integration and Diversion for Training Decomposable Models Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng

IJCAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

ICML 2025 Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng

CVPR 2025 Mimic In-Context Learning for Multimodal Tasks Yuchu Jiang, Jiale Fu, Chenduo Hao, Xinting Hu, Yingzhe Peng, Xin Geng, Xu Yang

ICCV 2025 One-Shot Knowledge Transfer for Scalable Person Re-Identification Longhua Li, Lei Qi, Xin Geng

ICML 2025 Progressively Label Enhancement for Large Language Model Alignment Biao Liu, Ning Xu, Xin Geng

NeurIPS 2025 RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation Between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

CVPR 2025 Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng

NeurIPS 2025 Reduction-Based Pseudo-Label Generation for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

ICLRW 2025 Revisiting Noise Schedule Design for Diffusion Training Tiankai Hang, Shuyang Gu, Xin Geng, Baining Guo

ICLR 2025 Selective Label Enhancement Learning for Test-Time Adaptation Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

NeurIPS 2025 SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization Xiaofeng Tan, Hongsong Wang, Xin Geng, Pan Zhou

UAI 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning Jie Wang, Ning Xu, Xin Geng

CVPR 2025 WAVE: Weight Templates for Adaptive Initialization of Variable-Sized Models Fu Feng, Yucheng Xie, Jing Wang, Xin Geng

ICML 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng

NeurIPS 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo

AAAI 2024 Building Variable-Sized Models via Learngene Pool Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

NeurIPS 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng

ICML 2024 Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng

IJCAI 2024 Exploiting Multi-Label Correlation in Label Distribution Learning Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng

IJCAI 2024 Exploring Learngene via Stage-Wise Weight Sharing for Initializing Variable-Sized Models Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng

NeurIPS 2024 Initializing Variable-Sized Vision Transformers from Learngene with Learnable Transformation Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng

NeurIPS 2024 LIVE: Learnable In-Context Vector for Visual Question Answering Yingzhe Peng, Chenduo Hao, Xinting Hu, Jiawei Peng, Xin Geng, Xu Yang

ICML 2024 Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu

NeurIPS 2024 Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models Shuxia Lin, Miaosen Zhang, Ruiming Chen, Qiufeng Wang, Xu Yang, Xin Geng

AAAI 2024 Transformer as Linear Expansion of Learngene Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng

ICML 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

WACV 2024 Unsupervised Graphic Layout Grouping with Transformers Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo

ICML 2024 Vision Transformers as Probabilistic Expansion from Learngene Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng

NeurIPS 2024 What Makes Partial-Label Learning Algorithms Effective? Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng

ICLR 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Xin Geng

ICCV 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo

NeurIPS 2023 Exploring Diverse In-Context Configurations for Image Captioning Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng

ICML 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng

AAAI 2023 Imbalanced Label Distribution Learning Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

NeurIPS 2023 Learning from Biased Soft Labels Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui

ICML 2023 Progressive Purification for Instance-Dependent Partial Label Learning Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng

ICML 2023 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng

CVPR 2023 Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng

IJCAI 2023 Unreliable Partial Label Learning with Recursive Separation Yu Shi, Ning Xu, Hua Yuan, Xin Geng

IJCAI 2022 Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng

IJCAI 2022 Fusion Label Enhancement for Multi-Label Learning Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

AAAI 2022 Learngene: From Open-World to Your Learning Task Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu

NeurIPS 2022 One Positive Label Is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang

NeurIPS 2021 Instance-Dependent Partial Label Learning Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang

ICML 2021 Label Distribution Learning Machine Jing Wang, Xin Geng

IJCAI 2021 Learn the Highest Label and REST Label Description Degrees Jing Wang, Xin Geng

IJCAI 2021 Video Summarization via Label Distributions Dual-Reward Yongbiao Gao, Ning Xu, Xin Geng

IJCAI 2020 Label Distribution for Learning with Noisy Labels Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng

IJCAI 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge Yongbiao Gao, Yu Zhang, Xin Geng

AAAI 2020 Partial Multi-Label Learning with Label Distribution Ning Xu, Yun-Peng Liu, Xin Geng

ICML 2020 Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama

NeurIPS 2020 Provably Consistent Partial-Label Learning Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama

ICML 2020 Variational Label Enhancement Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng

IJCAI 2019 Classification with Label Distribution Learning Jing Wang, Xin Geng

IJCAI 2019 Discrete Binary Coding Based Label Distribution Learning Ke Wang, Xin Geng

AAAI 2019 Hierarchical Classification Based on Label Distribution Learning Changdong Xu, Xin Geng

AAAI 2019 Partial Label Learning via Label Enhancement Ning Xu, Jiaqi Lv, Xin Geng

AAAI 2019 Soft Facial Landmark Detection by Label Distribution Learning Kai Su, Xin Geng

AAAI 2019 Theoretical Analysis of Label Distribution Learning Jing Wang, Xin Geng

IJCAI 2019 Weakly Supervised Multi-Label Learning via Label Enhancement Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng

IJCAI 2018 Age Estimation Using Expectation of Label Distribution Learning Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng

IJCAI 2018 Binary Coding Based Label Distribution Learning Ke Wang, Xin Geng

IJCAI 2018 Label Embedding Based on Multi-Scale Locality Preservation Cheng-Lun Peng, An Tao, Xin Geng

IJCAI 2018 Label Enhancement for Label Distribution Learning Ning Xu, An Tao, Xin Geng

IJCAI 2017 Ordinal Zero-Shot Learning Zeng-Wei Huo, Xin Geng

AAAI 2017 Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv

IJCAI 2017 Sense Beauty by Label Distribution Learning Yi Ren, Xin Geng

AAAI 2017 Soft Video Parsing by Label Distribution Learning Xin Geng, Miaogen Ling

CVPRW 2016 Deep Age Distribution Learning for Apparent Age Estimation Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng

CVPR 2016 Logistic Boosting Regression for Label Distribution Learning Chao Xing, Xin Geng, Hui Xue

AAAI 2016 Multi-Label Manifold Learning Peng Hou, Xin Geng, Min-Ling Zhang

IJCAI 2016 Sparsity Conditional Energy Label Distribution Learning for Age Estimation Xu Yang, Xin Geng, Deyu Zhou

ICCVW 2015 Deep Label Distribution Learning for Apparent Age Estimation Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng

IJCAI 2015 Pre-Release Prediction of Crowd Opinion on Movies by Label Distribution Learning Xin Geng, Peng Hou

CVPR 2014 Head Pose Estimation Based on Multivariate Label Distribution Xin Geng, Yu Xia

CVPR 2014 Multilabel Ranking with Inconsistent Rankers Xin Geng, Longrun Luo

AAAI 2010 Facial Age Estimation by Learning from Label Distributions Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou

CVPR 2008 Moving Shape Dynamics: A Signal Processing Perspective Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao