| 2026 | AAAI | Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge. | Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng |
| 2026 | AAAI | Learngene: Inheritable 'Genes' in Intelligent Agents (Abstract Reprint). | Fu Feng, Jing Wang, Xu Yang, Xin Geng |
| 2026 | AAAI | Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments. | Shuxia Lin, Qiufeng Wang, Chang Liu, Xu Yang, Xin Geng |
| 2026 | AAAI | Stratified Knowledge-Density Super-Network for Scalable Vision Transformers. | Longhua Li, Lei Qi, Xin Geng |
| 2026 | AAAI | DivControl: Knowledge Diversion for Controllable Image Generation. | Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng |
| 2026 | WACV | MageBench: Bridging Large Multimodal Models to Agents. | Miaosen Zhang, Qi Dai, Yifan Yang, Jianmin Bao, Dongdong Chen, Kai Qiu, Chong Luo, Xin Geng, Baining Guo |
| 2025 | AAAI | Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. | Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng |
| 2025 | CVPR | WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models. | Fu Feng, Yucheng Xie, Jing Wang, Xin Geng |
| 2025 | CVPR | Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation. | Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng |
| 2025 | CVPR | Mimic In-Context Learning for Multimodal Tasks. | Yuchu Jiang, Jiale Fu, Chenduo Hao, Xinting Hu, Yingzhe Peng, Xin Geng, Xu Yang |
| 2025 | GLOBECOM | Learning-based Signal Detection with Learngene. | Jinya Zhang, Jiajia Guo, Xiangyi Li, Chao-Kai Wen, Xin Geng, Shi Jin |
| 2025 | ICCV | Improved Noise Schedule for Diffusion Training. | Tiankai Hang, Shuyang Gu, Jianmin Bao, Fangyun Wei, Dong Chen, Xin Geng, Baining Guo |
| 2025 | ICCV | One-Shot Knowledge Transfer for Scalable Person Re-Identification. | Longhua Li, Lei Qi, Xin Geng |
| 2025 | ICLR | Selective Label Enhancement Learning for Test-Time Adaptation. | Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu |
| 2025 | ICML | Fast Large Language Model Collaborative Decoding via Speculation. | Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang |
| 2025 | ICML | Progressively Label Enhancement for Large Language Model Alignment. | Biao Liu, Ning Xu, Xin Geng |
| 2025 | ICML | KIND: Knowledge Integration and Diversion for Training Decomposable Models. | Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng |
| 2025 | ICML | Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales. | Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng |
| 2025 | IJCAI | 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 |
| 2025 | SMC | Learning Preference Distributions: A Label-Side Paradigm for Explainable Reward Models. | Shikai Chen, Jin Yuan, Yang Zhang, Zhongchao Shi, Jianping Fan, Xin Geng, Yong Rui |
| 2025 | UAI | VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning. | Jie Wang, Ning Xu, Xin Geng |
| 2024 | AAAI | Building Variable-Sized Models via Learngene Pool. | Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng |
| 2024 | AAAI | Transformer as Linear Expansion of Learngene. | Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng |
| 2024 | ASPDAC | Variational Label-Correlation Enhancement for Congestion Prediction. | Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang |
| 2024 | CHI | See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles. | Yu Zhang, Jingwei Sun, Li Feng, Cen Yao, Mingming Fan, Liuxin Zhang, Qianying Wang, Xin Geng, Yong Rui |
| 2024 | ICML | Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. | Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng |
| 2024 | ICML | Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning. | Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng |
| 2024 | ICML | Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. | Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu |
| 2024 | ICML | ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. | Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng |
| 2024 | ICML | Vision Transformers as Probabilistic Expansion from Learngene. | Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng |
| 2024 | IJCAI | Exploiting Multi-Label Correlation in Label Distribution Learning. | Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng |
| 2024 | IJCAI | Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. | Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng |
| 2024 | WACV | Unsupervised Graphic Layout Grouping with Transformers. | Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo |
| 2023 | AAAI | Imbalanced Label Distribution Learning. | Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng |
| 2023 | CVPR | Towards Effective Visual Representations for Partial-Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng |
| 2023 | ICCV | Efficient Diffusion Training via Min-SNR Weighting Strategy. | Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo |
| 2023 | ICIG | A Novel Attention-DeblurGAN-Based Defogging Algorithm. | Xintao Hu, Xiaogang Cheng, Zhaobin Wang, Jie Ni, Bo Zhang, Bo Gao, Yan Zhang, Xin Geng, Limin Song |
| 2023 | ICLR | Decompositional Generation Process for Instance-Dependent Partial Label Learning. | Congyu Qiao, Ning Xu, Xin Geng |
| 2023 | ICML | Progressive Purification for Instance-Dependent Partial Label Learning. | Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng |
| 2023 | ICML | Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. | Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng |
| 2023 | ICML | FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. | Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng |
| 2023 | IJCAI | Unreliable Partial Label Learning with Recursive Separation. | Yu Shi, Ning Xu, Hua Yuan, Xin Geng |
| 2023 | KES | Research on the Intelligent manufacturing Path of Equipment Manufacturing Enterprises Based on Factor Load Matrix Model. | Jin Yin, Boyu Zhang, Xin Geng, Zimin Yin, Hongyan Lin |
| 2022 | AAAI | Learngene: From Open-World to Your Learning Task. | Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu |
| 2022 | ICIP | Learning from Noisy Labels via Meta Credible Label Elicitation. | Ziyang Gao, Yaping Yan, Xin Geng |
| 2022 | IJCAI | Fusion Label Enhancement for Multi-Label Learning. | Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng |
| 2022 | IJCAI | Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng |
| 2021 | ICML | Label Distribution Learning Machine. | Jing Wang, Xin Geng |
| 2021 | IJCAI | Video Summarization via Label Distributions Dual-Reward. | Yongbiao Gao, Ning Xu, Xin Geng |
| 2021 | IJCAI | Learn the Highest Label and Rest Label Description Degrees. | Jing Wang, Xin Geng |
| 2020 | AAAI | Partial Multi-Label Learning with Label Distribution. | Ning Xu, Yun-Peng Liu, Xin Geng |
| 2020 | CVPR | Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. | Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui |
| 2020 | ICML | Variational Label Enhancement. | Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng |
| 2020 | ICML | Progressive Identification of True Labels for Partial-Label Learning. | Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama |
| 2020 | IJCAI | Label Enhancement for Label Distribution Learning via Prior Knowledge. | Yongbiao Gao, Yu Zhang, Xin Geng |
| 2020 | IJCAI | Label Distribution for Learning with Noisy Labels. | Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng |
| 2019 | AAAI | Soft Facial Landmark Detection by Label Distribution Learning. | Kai Su, Xin Geng |
| 2019 | AAAI | Theoretical Analysis of Label Distribution Learning. | Jing Wang, Xin Geng |
| 2019 | AAAI | Hierarchical Classification Based on Label Distribution Learning. | Changdong Xu, Xin Geng |
| 2019 | AAAI | Partial Label Learning via Label Enhancement. | Ning Xu, Jiaqi Lv, Xin Geng |
| 2019 | CVPR | Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. | Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang |
| 2019 | ICPADS | Adaptive Function Launching Acceleration in Serverless Computing Platforms. | Zhengjun Xu, Haitao Zhang, Xin Geng, Qiong Wu, Huadong Ma |
| 2019 | IJCAI | Weakly Supervised Multi-Label Learning via Label Enhancement. | Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng |
| 2019 | IJCAI | Classification with Label Distribution Learning. | Jing Wang, Xin Geng |
| 2019 | IJCAI | Discrete Binary Coding based Label Distribution Learning. | Ke Wang, Xin Geng |
| 2019 | ISPA | Resource-Aware Cache Management for In-Memory Data Analytics Frameworks. | Zhengyang Zhao, Haitao Zhang, Xin Geng, Huadong Ma |
| 2018 | ICDM | Multi-label Learning with Label Enhancement. | Ruifeng Shao, Ning Xu, Xin Geng |
| 2018 | ICPP | Learning Driven Parallelization for Large-Scale Video Workload in Hybrid CPU-GPU Cluster. | Haitao Zhang, Bingchang Tang, Xin Geng, Huadong Ma |
| 2018 | IJCAI | Age Estimation Using Expectation of Label Distribution Learning. | Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng |
| 2018 | IJCAI | Label Embedding Based on Multi-Scale Locality Preservation. | Cheng-Lun Peng, An Tao, Xin Geng |
| 2018 | IJCAI | Binary Coding based Label Distribution Learning. | Ke Wang, Xin Geng |
| 2018 | IJCAI | Label Enhancement for Label Distribution Learning. | Ning Xu, An Tao, Xin Geng |
| 2018 | PRICAI | Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. | An Tao, Ning Xu, Xin Geng |
| 2017 | AAAI | Soft Video Parsing by Label Distribution Learning. | Xin Geng, Miaogen Ling |
| 2017 | AAAI | Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. | Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv |
| 2017 | IJCAI | Ordinal Zero-Shot Learning. | Zeng-Wei Huo, Xin Geng |
| 2017 | IJCAI | Sense Beauty by Label Distribution Learning. | Yi Ren, Xin Geng |
| 2016 | AAAI | Multi-Label Manifold Learning. | Peng Hou, Xin Geng, Min-Ling Zhang |
| 2016 | ACCV | Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies. | Xingjian Yan, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, Xiaowei Ding |
| 2016 | CVPR | Deep Age Distribution Learning for Apparent Age Estimation. | Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng |
| 2016 | CVPR | Logistic Boosting Regression for Label Distribution Learning. | Chao Xing, Xin Geng, Hui Xue |
| 2016 | EMNLP | Emotion Distribution Learning from Texts. | Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng |
| 2016 | IJCAI | Sparsity Conditional Energy Label Distribution Learning for Age Estimation. | Xu Yang, Xin Geng, Deyu Zhou |
| 2016 | PRICAI | A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition. | Hao Zheng, Xin Geng, Zhongxue Yang |
| 2015 | ICDM | Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning. | Yu-Kun Li, Min-Ling Zhang, Xin Geng |
| 2015 | IJCAI | Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning. | Xin Geng, Peng Hou |
| 2014 | CVPR | Multilabel Ranking with Inconsistent Rankers. | Xin Geng, Longrun Luo |
| 2014 | CVPR | Head Pose Estimation Based on Multivariate Label Distribution. | Xin Geng, Yu Xia |
| 2014 | ICPR | Facial Age Estimation by Adaptive Label Distribution Learning. | Xin Geng, Qin Wang, Yu Xia |
| 2013 | ICDM | Label Distribution Learning. | Xin Geng, Rongzi Ji |
| 2012 | INDIN | Routing algorithm of power line carrier meter reading based on ant colony genetic algorithm. | Ke Chen, Xin Geng, Xiaoguang Hu |
| 2012 | INDIN | An improved Canny edge detection algorithm for color image. | Xin Geng, Ke Chen, Xiaoguang Hu |
| 2010 | AAAI | Facial Age Estimation by Learning from Label Distributions. | Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou |
| 2009 | BIBE | Empirical Probability Functions Derived from Dihedral Angles for Protein Structure Prediction. | Qiwen Dong, Xin Geng, Shuigeng Zhou, Jihong Guan |
| 2009 | ICASSP | Facial age estimation by multilinear subspace analysis. | Xin Geng, Kate Smith-Miles |
| 2008 | CVPR | Moving shape dynamics: A signal processing perspective. | Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2008 | ICDM | SpecVAT: Enhanced Visual Cluster Analysis. | Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao |
| 2008 | WACV | Adaptive Fusion of Gait and Face for Human Identification in Video. | Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles |
| 2006 | PRICAI | Uncontrolled Face Recognition by Individual Stable Neural Network. | Xin Geng, Zhi-Hua Zhou, Honghua Dai |