Xin Geng

334 papers A* 88A 3B 8Misc 1Journal 222Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Creative Agent is Worth a 64-Token Template.
CoRR
Ruixiao Shi, Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2026 J jnl
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling.
CoRR
Jianlu Shen, Fu Feng, Jiaze Xu, Yucheng Xie, Jiaqi Lv, Xin Geng
2026 J jnl
ALPSB: Adaptive learngene with plastic and stable branches.
Pattern Recognit.
Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng
2026 A* conf
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments.
AAAI
Shuxia Lin, Qiufeng Wang, Chang Liu, Xu Yang, Xin Geng
2026 J jnl
CLER: A benchmark for Chinese litigation evidence reasoning.
Inf. Process. Manag.
Sheng Bi, Kai Yu, Jiaqi Li, Xiaoyan Wang, Fuhui Sun, Zeyi Miao, Jing Wang, Xin Geng, Lusheng Wang
2026 J jnl
Corrigendum to "ALPSB: Adaptive Learngene with Plastic and Stable Branches" [Pattern Recognition 172 (2026) 112623].
Pattern Recognit.
Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng
2026 J jnl
Corrigendum to "Motional Foreground Attention-based Video Crowd Counting" [Pattern Recognition 144 (2023) 109891].
Pattern Recognit.
Miaogen Ling, Tianhang Pan, Yi Ren, Ke Wang, Xin Geng
2026 A* conf
DivControl: Knowledge Diversion for Controllable Image Generation.
AAAI
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2026 J jnl
Efficient Deployment of Deep MIMO Detection Using Learngene.
IEEE Trans. Wirel. Commun.
Jinya Zhang, Jiajia Guo, Xiangyi Li, Chao-Kai Wen, Xin Geng, Shi Jin
2026 J jnl
Explore diverse information in diffusion model for single-domain generalized object detection.
Pattern Recognit.
Lei Qi, Zeyu Shi, Peng Dong, Xin Geng
2026 A* conf
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.
AAAI
Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng
2026 J jnl
Foundation Model for Skeleton-Based Human Action Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongsong Wang, Wanjiang Weng, Junbo Wang, Fang Zhao, Guo-Sen Xie, Xin Geng, Liang Wang
2026 A* conf
Learngene: Inheritable 'Genes' in Intelligent Agents (Abstract Reprint).
AAAI
Fu Feng, Jing Wang, Xu Yang, Xin Geng
2026 J jnl
One-for-All Model Initialization with Frequency-Domain Knowledge.
CoRR
Jianlu Shen, Fu Feng, Yucheng Xie, Jiaqi Lv, Xin Geng
2026 J jnl
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models.
CoRR
Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
2026 J jnl
RE-TRAC: REcursive TRAjectory Compression for Deep Search Agents.
CoRR
Jialiang Zhu, Gongrui Zhang, Xiaolong Ma, Lin Xu, Miaosen Zhang, Ruiqi Yang, Song Wang, Kai Qiu, Zhirong Wu, Qi Dai, Ruichun Ma, Bei Liu, Yifan Yang, Chong Luo, Zhengyuan Yang, Linjie Li, Lijuan Wang, Weizhu Chen, Xin Geng, Baining Guo
2026 J jnl
SSL-OHE: A self-supervised ensemble approach for early diagnosis of biliary atresia from sonographic images.
Biomed. Signal Process. Control.
Adam A. Q. Mohammed, Xin Geng, Jing Wang, Ahmed Ameen Fateh, Muhammad Hassan, Zafar Ali
2026 J jnl
Self-Supervised Weight Templates for Scalable Vision Model Initialization.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2026 A* conf
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers.
AAAI
Longhua Li, Lei Qi, Xin Geng
2026 J jnl
Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng
2026 J jnl
Temporal Consistency-Aware Text-to-Motion Generation.
CoRR
Hongsong Wang, Wenjing Yan, Qiuxia Lai, Xin Geng
2026 J jnl
Temporal consistency-aware text-to-motion generation.
Vis. Intell.
Hongsong Wang, Wenjing Yan, Qiuxia Lai, Xin Geng
2026 J jnl
Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training.
CoRR
Miaosen Zhang, Yishan Liu, Shuxia Lin, Xu Yang, Qi Dai, Chong Luo, Weihao Jiang, Peng Hou, Anxiang Zeng, Xin Geng, Baining Guo
2026 J jnl
VRM: Teaching Reward Models to Understand Authentic Human Preferences.
CoRR
Biao Liu, Ning Xu, Jun Yang, Hao Xu, Xin Geng
2026 J jnl
iScript: A Domain-Adapted Large Language Model and Benchmark for Physical Design Tcl Script Generation.
CoRR
Ning Xu, Zhaoyang Zhang, Senlin Shu, Lei Qi, Jiaqi Lv, Wensuo Wang, Tianhao Zhao, Chao Zhang, Zhaohui Yang, Xiangyu Li, Zhaorui Su, Jingshan Li, Xin Geng
2025 J jnl
A SAM-guided Two-stream Lightweight Model for Anomaly Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Chenghao Li, Lei Qi, Xin Geng
2025 J jnl
Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization.
IEEE Trans. Neural Networks Learn. Syst.
Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng
2025 J jnl
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization.
CoRR
Junming Yang, Ning Xu, Biao Liu, Shiqi Qiao, Xin Geng
2025 J jnl
Attention mechanism-based facial age estimation.
Int. J. Bio Inspired Comput.
Huiying Zhang, Jiayan Lin, Wenshun Sheng, Jiangwei Dong, Yu Zhang, Xin Geng, Deyin Zhang, Xin Jin
2025 J jnl
BatStyler: Advancing Multi-Category Style Generation for Source-Free Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol.
Xiusheng Xu, Lei Qi, Jingyang Zhou, Xin Geng
2025 J jnl
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization.
CoRR
Xiusheng Xu, Lei Qi, Jingyang Zhou, Xin Geng
2025 J jnl
CCA: collaborative competitive agents for image editing.
Frontiers Comput. Sci.
Tiankai Hang, Shuyang Gu, Dong Chen, Xin Geng, Baining Guo
2025 J jnl
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification.
CoRR
Huazhong Zhao, Lei Qi, Xin Geng
2025 J jnl
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification.
IEEE Trans. Inf. Forensics Secur.
Huazhong Zhao, Lei Qi, Xin Geng
2025 J jnl
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl.
Huazhong Zhao, Lei Qi, Xin Geng
2025 J jnl
Collective domain adversarial learning for unsupervised domain adaptation.
Frontiers Comput. Sci.
Shikai Chen, Jin Yuan, Yang Zhang, Zhongchao Shi, Jianping Fan, Xin Geng, Yong Rui
2025 J jnl
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.
IEEE Trans. Multim.
Yunlong Tang, Yuxuan Wan, Lei Qi, Xin Geng
2025 J jnl
Delving Into Generalizable Label Distribution Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng
2025 J jnl
Distribution-Conditional Generation: From Class Distribution to Creative Generation.
CoRR
Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
DivControl: Knowledge Diversion for Controllable Image Generation.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2025 J jnl
Dual-branch adjacent connection and channel mixing network for video crowd counting.
Pattern Recognit.
Miaogen Ling, Jixuan Chen, Yongwen Liu, Wei Fang, Xin Geng
2025 A* conf
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization.
ACM Multimedia
Huiyi Chen, Jiawei Peng, Kaihua Tang, Xin Geng, Xu Yang
2025 J jnl
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization.
CoRR
Huiyi Chen, Jiawei Peng, Kaihua Tang, Xin Geng, Xu Yang
2025 J jnl
Enriching Knowledge Distillation with Intra-Class Contrastive Learning.
CoRR
Hua Yuan, Ning Xu, Xin Geng, Yong Rui
2025 J jnl
Explaining the better generalization of label distribution learning for classification.
Sci. China Inf. Sci.
Jing Wang, Xin Geng
2025 J jnl
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.
CoRR
Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning.
CoRR
Ruixiao Shi, Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2025 J jnl
Fast Inference of Visual Autoregressive Model with Adjacency-Adaptive Dynamical Draft Trees.
CoRR
Haodong Lei, Hongsong Wang, Xin Geng, Liang Wang, Pan Zhou
2025 A* conf
Fast Large Language Model Collaborative Decoding via Speculation.
ICML
Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang
2025 J jnl
Foundation Model for Skeleton-Based Human Action Understanding.
CoRR
Hongsong Wang, Wanjiang Weng, Junbo Wang, Fang Zhao, Guo-Sen Xie, Xin Geng, Liang Wang
2025 J jnl
GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning.
CoRR
Shunxin Guo, Jiaqi Lv, Qiufeng Wang, Xin Geng
2025 J jnl
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning.
CoRR
Shunxin Guo, Jiaqi Lv, Xin Geng
2025 J jnl
InfoAgent: Advancing Autonomous Information-Seeking Agents.
CoRR
Gongrui Zhang, Jialiang Zhu, Ruiqi Yang, Kai Qiu, Miaosen Zhang, Zhirong Wu, Qi Dai, Bei Liu, Chong Luo, Zhengyuan Yang, Linjie Li, Lijuan Wang, Weizhu Chen, Yuan Zhang, Xin Li, Zhaoyi Liu, Xin Geng, Baining Guo
2025 A* conf
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks.
AAAI
Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng
2025 J jnl
Instance-Dependent Inaccurate Label Distribution Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng
2025 J jnl
Interactive Fusion Label Enhancement for Multi-Label Learning.
ACM Trans. Knowl. Discov. Data
Xingyu Zhao, Yuexuan An, Ning Xu, Lei Qi, Xin Geng
2025 A* conf
KIND: Knowledge Integration and Diversion for Training Decomposable Models.
ICML
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2025 J jnl
Knowledge Diversion for Efficient Morphology Control and Policy Transfer.
CoRR
Fu Feng, Ruixiao Shi, Yucheng Xie, Jianlu Shen, Jing Wang, Xin Geng
2025 J jnl
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.
CoRR
Yingzhe Peng, Gongrui Zhang, Miaosen Zhang, Zhiyuan You, Jie Liu, Qipeng Zhu, Kai Yang, Xingzhong Xu, Xin Geng, Xu Yang
2025 J jnl
Label Distribution Learning by Exploiting Fuzzy Label Correlation.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025 J jnl
Label Distribution Learning by Partitioning Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Jianhui Lv, Xin Geng
2025 A* conf
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.
IJCAI
Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025 J jnl
Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation.
CoRR
Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025 J jnl
Label distribution learning by utilizing common and label-specific feature fusion space.
Int. J. Mach. Learn. Cybern.
Ziyun Zhang, Jing Wang, Xin Geng
2025 J jnl
Label enhancement by manifold fusion of feature and label spaces.
Pattern Recognit.
Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025 A* conf
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales.
ICML
Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng
2025 J jnl
Learngene: Inheritable "genes" in intelligent agents.
Artif. Intell.
Fu Feng, Jing Wang, Xu Yang, Xin Geng
2025 B conf
Learning Preference Distributions: A Label-Side Paradigm for Explainable Reward Models.
SMC
Shikai Chen, Jin Yuan, Yang Zhang, Zhongchao Shi, Jianping Fan, Xin Geng, Yong Rui
2025 B conf
Learning-based Signal Detection with Learngene.
GLOBECOM
Jinya Zhang, Jiajia Guo, Xiangyi Li, Chao-Kai Wen, Xin Geng, Shi Jin
2025 J jnl
Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yuexuan An, Hui Xue, Xingyu Zhao, Ning Xu, Pengfei Fang, Xin Geng
2025 J jnl
Long and Recent Preference Learning With Recent-K Items Distribution for Recommender System.
IEEE Trans. Multim.
Yongbiao Gao, Sijie Niu, Guohua Lv, Miaogen Ling, Xin Geng
2025 J jnl
Mask Consistency Regularization in Object Removal.
CoRR
Hua Yuan, Jin Yuan, Yicheng Jiang, Yao Zhang, Xin Geng, Yong Rui
2025 A* conf
Mimic In-Context Learning for Multimodal Tasks.
CVPR
Yuchu Jiang, Jiale Fu, Chenduo Hao, Xinting Hu, Yingzhe Peng, Xin Geng, Xu Yang
2025 J jnl
Mimic In-Context Learning for Multimodal Tasks.
CoRR
Yuchu Jiang, Jiale Fu, Chenduo Hao, Xinting Hu, Yingzhe Peng, Xin Geng, Xu Yang
2025 J jnl
Object Adaptive Self-Supervised Dense Visual Pre-Training.
IEEE Trans. Image Process.
Yu Zhang, Tao Zhang, Hongyuan Zhu, Zihan Chen, Siya Mi, Xi Peng, Xin Geng
2025 J jnl
One-Shot Knowledge Transfer for Scalable Person Re-Identification.
CoRR
Longhua Li, Lei Qi, Xin Geng
2025 J jnl
PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation.
CoRR
Hongsong Wang, Yin Zhu, Qiuxia Lai, Yang Zhang, Guo-Sen Xie, Xin Geng
2025 J jnl
Patch-Aware Batch Normalization for Improving Cross-Domain Robustness.
IEEE Trans. Circuits Syst. Video Technol.
Lei Qi, Dongjia Zhao, Yinghuan Shi, Xin Geng
2025 J jnl
Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models.
CoRR
Biao Liu, Ning Xu, Jun Yang, Xin Geng
2025 J jnl
Progressive label enhancement.
Pattern Recognit.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2025 A* conf
Progressively Label Enhancement for Large Language Model Alignment.
ICML
Biao Liu, Ning Xu, Xin Geng
2025 J jnl
RG4LDL: Renormalization group for label distribution learning.
Knowl. Based Syst.
Chao Tan, Sheng Chen, Jiaxi Zhang, Zilong Xu, Xin Geng, Genlin Ji
2025 A* conf
Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation.
CVPR
Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
Residual k-Nearest Neighbors Label Distribution Learning.
Pattern Recognit.
Jing Wang, Fu Feng, Jianhui Lv, Xin Geng
2025 J jnl
Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective.
CoRR
Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng
2025 J jnl
STHFL: Spatio-Temporal Heterogeneous Federated Learning.
CoRR
Shunxin Guo, Hongsong Wang, Shuxia Lin, Xu Yang, Xin Geng
2025 J jnl
Scalable Label Distribution Learning for Multi-Label Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng
2025 A* conf
Selective Label Enhancement Learning for Test-Time Adaptation.
ICLR
Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu
2025 J jnl
Speculative Ensemble: Fast Large Language Model Ensemble via Speculation.
CoRR
Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang
2025 J jnl
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers.
CoRR
Longhua Li, Lei Qi, Xin Geng
2025 J jnl
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory.
IEEE Trans. Knowl. Data Eng.
Ziyuan Gu, Qi Hong, Zhen Zhou, Xin Geng, Zhiyuan Liu, Mo Jia
2025 J jnl
Towards Understanding Feature Learning in Parameter Transfer.
CoRR
Hua Yuan, Xuran Meng, Qiufeng Wang, Shiyu Xia, Ning Xu, Xu Yang, Jing Wang, Xin Geng, Yong Rui
2025 A conf
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning.
UAI
Jie Wang, Ning Xu, Xin Geng
2025 A* conf
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models.
CVPR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2024 J jnl
A Novel Cross-Perturbation for Single Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol.
Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng
2024 J jnl
A SAM-guided Two-stream Lightweight Model for Anomaly Detection.
CoRR
Chenghao Li, Lei Qi, Xin Geng
2024 J jnl
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization.
CoRR
Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng
2024 A* conf
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning.
ICML
Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng
2024 A* conf
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.
NeurIPS
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
2024 J jnl
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.
CoRR
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
2024 J jnl
Auto-encoding score distribution regression for action quality assessment.
Neural Comput. Appl.
Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng
2024 A* conf
Building Variable-Sized Models via Learngene Pool.
AAAI
Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2024 J jnl
CCA: Collaborative Competitive Agents for Image Editing.
CoRR
Tiankai Hang, Shuyang Gu, Dong Chen, Xin Geng, Baining Guo
2024 J jnl
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification.
CoRR
Huazhong Zhao, Lei Qi, Xin Geng
2024 J jnl
ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model.
CoRR
Ning Xu, Zhaoyang Zhang, Lei Qi, Wensuo Wang, Chao Zhang, Zihao Ren, Huaiyuan Zhang, Xin Cheng, Yanqi Zhang, Zhichao Liu, Qingwen Wei, Shiyang Wu, Lanlan Yang, Qianfeng Lu, Yiqun Ma, Mengyao Zhao, Junbo Liu, Yufan Song, Xin Geng, Jun Yang
2024 A* conf
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers.
NeurIPS
Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng
2024 A* conf
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning.
ICML
Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng
2024 J jnl
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.
CoRR
Yunlong Tang, Yuxuan Wan, Lei Qi, Xin Geng
2024 J jnl
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation.
IEEE Trans. Multim.
Jin Yuan, Feng Hou, Ying Yang, Yang Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Zhiqiang He, Yong Rui
2024 J jnl
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory.
ACM Trans. Multim. Comput. Commun. Appl.
Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
2024 J jnl
Driver distraction detection using semi-supervised lightweight vision transformer.
Eng. Appl. Artif. Intell.
Adam A. Q. Mohammed, Xin Geng, Jing Wang, Zafar Ali
2024 J jnl
Dynamic heterogeneous federated learning with multi-level prototypes.
Pattern Recognit.
Shunxin Guo, Hongsong Wang, Xin Geng
2024 A* conf
Exploiting Multi-Label Correlation in Label Distribution Learning.
IJCAI
Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng
2024 A* conf
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.
IJCAI
Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng
2024 J jnl
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.
CoRR
Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng
2024 J jnl
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Xin Geng
2024 J jnl
Facilitating AI-Based CSI Feedback Deployment in Massive MIMO Systems With Learngene.
IEEE Trans. Wirel. Commun.
Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Xin Geng, Shi Jin
2024 J jnl
Flexible Music-Conditioned Dance Generation with Style Description Prompts.
CoRR
Hongsong Wang, Yin Zhu, Xin Geng
2024 J jnl
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection.
CoRR
Xiaofeng Tan, Hongsong Wang, Xin Geng
2024 J jnl
Generalizable Metric Network for Cross-Domain Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng
2024 J jnl
Inaccurate Label Distribution Learning with Dependency Noise.
CoRR
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024 J jnl
Inaccurate Label Distribution Learning.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024 A* conf
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation.
NeurIPS
Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng
2024 J jnl
KIND: Knowledge Integration and Diversion in Diffusion Models.
CoRR
Yucheng Xie, Fu Feng, Jing Wang, Xin Geng, Yong Rui
2024 J jnl
LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks.
IEEE Trans. Circuits Syst. II Express Briefs
Hao Gu, Jian Gu, Keyu Peng, Ziran Zhu, Ning Xu, Xin Geng, Jun Yang
2024 A* conf
LIVE: Learnable In-Context Vector for Visual Question Answering.
NeurIPS
Yingzhe Peng, Chenduo Hao, Xinting Hu, Jiawei Peng, Xin Geng, Xu Yang
2024 J jnl
Label enhancement via manifold approximation and projection with graph convolutional network.
Pattern Recognit.
Chao Tan, Sheng Chen, Xin Geng, Yunyao Zhou, Genlin Ji
2024 J jnl
Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Xin Geng
2024 J jnl
Learnable In-Context Vector for Visual Question Answering.
CoRR
Yingzhe Peng, Chenduo Hao, Xu Yang, Jiawei Peng, Xinting Hu, Xin Geng
2024 J jnl
Learning From Noisy Labels via Dynamic Loss Thresholding.
IEEE Trans. Knowl. Data Eng.
Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Xin Geng, Min-Ling Zhang
2024 A* conf
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency.
ICML
Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu
2024 A* conf
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models.
NeurIPS
Shuxia Lin, Miaosen Zhang, Ruiming Chen, Xu Yang, Qiufeng Wang, Xin Geng
2024 J jnl
MageBench: Bridging Large Multimodal Models to Agents.
CoRR
Miaosen Zhang, Qi Dai, Yifan Yang, Jianmin Bao, Dongdong Chen, Kai Qiu, Chong Luo, Xin Geng, Baining Guo
2024 J jnl
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl.
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
2024 J jnl
Negative-Prompt-driven Alignment for Generative Language Model.
CoRR
Shiqi Qiao, Ning Xv, Biao Liu, Xin Geng
2024 J jnl
NormAUG: Normalization-Guided Augmentation for Domain Generalization.
IEEE Trans. Image Process.
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
2024 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2024 J jnl
Progressively Selective Label Enhancement for Language Model Alignment.
CoRR
Biao Liu, Ning Xu, Xin Geng
2024 J jnl
Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation.
CoRR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2024 J jnl
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning.
CoRR
Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024 A* conf
See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles.
CHI
Yu Zhang, Jingwei Sun, Li Feng, Cen Yao, Mingming Fan, Liuxin Zhang, Qianying Wang, Xin Geng, Yong Rui
2024 J jnl
Sequential Label Enhancement.
IEEE Trans. Neural Networks Learn. Syst.
Yongbiao Gao, Ke Wang, Xin Geng
2024 J jnl
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization.
CoRR
Xiaofeng Tan, Hongsong Wang, Xin Geng, Pan Zhou
2024 J jnl
Temporal segment dropout for human action video recognition.
Pattern Recognit.
Yu Zhang, Zhengjie Chen, Tianyu Xu, Junjie Zhao, Siya Mi, Xin Geng, Min-Ling Zhang
2024 J jnl
Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.
CoRR
Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng
2024 J jnl
Towards Workplace Metaverse: A Human-Centered Approach for Designing and Evaluating XR Virtual Displays.
Int. J. Hum. Comput. Interact.
Yu Zhang, Jingwei Sun, Qicheng Ding, Liuxin Zhang, Qianying Wang, Xin Geng, Yong Rui
2024 J jnl
Transferring Core Knowledge via Learngenes.
CoRR
Fu Feng, Jing Wang, Xin Geng
2024 A* conf
Transformer as Linear Expansion of Learngene.
AAAI
Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
2024 A* conf
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision.
ICML
Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024 A conf
Unsupervised Graphic Layout Grouping with Transformers.
WACV
Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo
2024 J jnl
Variational Continuous Label Distribution Learning for Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2024 J jnl
Variational Label Enhancement for Instance-Dependent Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Xu, Congyu Qiao, Yuchen Zhao, Xin Geng, Min-Ling Zhang
2024 B conf
Variational Label-Correlation Enhancement for Congestion Prediction.
ASPDAC
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2024 A* conf
Vision Transformers as Probabilistic Expansion from Learngene.
ICML
Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng
2024 J jnl
WAVE: Weight Template for Adaptive Initialization of Variable-sized Models.
CoRR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2024 A* conf
What Makes Partial-Label Learning Algorithms Effective?
NeurIPS
Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng
2023 J jnl
A Closer Look at Video Sampling for Sequential Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Yu Zhang, Junjie Zhao, Zhengjie Chen, Siya Mi, Hongyuan Zhu, Xin Geng
2023 J jnl
A Novel Cross-Perturbation for Single Domain Generalization.
CoRR
Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng
2023 J jnl
A Novel Label Enhancement Algorithm Based on Manifold Learning.
Pattern Recognit.
Chao Tan, Sheng Chen, Xin Geng, Genlin Ji
2023 J jnl
A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.
IEEE Trans. Multim.
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
2023 J jnl
A label distribution manifold learning algorithm.
Pattern Recognit.
Chao Tan, Sheng Chen, Xin Geng, Genlin Ji
2023 J jnl
Balanced masking strategy for multi-label image classification.
Neurocomputing
Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2023 J jnl
Building Variable-sized Models via Learngene Pool.
CoRR
Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2023 J jnl
Can Class-Priors Help Single-Positive Multi-Label Learning?
CoRR
Biao Liu, Jie Wang, Ning Xu, Xin Geng
2023 J jnl
Continuous label distribution learning.
Pattern Recognit.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2023 J jnl
Data Augmentation For Label Enhancement.
CoRR
Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng
2023 A* conf
Decompositional Generation Process for Instance-Dependent Partial Label Learning.
ICLR
Congyu Qiao, Ning Xu, Xin Geng
2023 J jnl
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory.
CoRR
Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng
2023 J jnl
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes.
CoRR
Shunxin Guo, Hongsong Wang, Xin Geng
2023 A* conf
Efficient Diffusion Training via Min-SNR Weighting Strategy.
ICCV
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
2023 J jnl
Efficient Diffusion Training via Min-SNR Weighting Strategy.
CoRR
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
2023 J jnl
Exploiting Multi-Label Correlation in Label Distribution Learning.
CoRR
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2023 A* conf
Exploring Diverse In-Context Configurations for Image Captioning.
NeurIPS
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
2023 J jnl
Exploring Diverse In-Context Configurations for Image Captioning.
CoRR
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
2023 A* conf
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.
ICML
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
2023 J jnl
Fast Label Enhancement for Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Ke Wang, Ning Xu, Miaogen Ling, Xin Geng
2023 A* conf
Generalizable Label Distribution Learning.
ACM Multimedia
Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng
2023 J jnl
Generalizable Metric Network for Cross-domain Person Re-identification.
CoRR
Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng
2023 J jnl
Genes in Intelligent Agents.
CoRR
Fu Feng, Jing Wang, Congzhi Zhang, Wenqian Li, Xu Yang, Xin Geng
2023 J jnl
Graph Attention Transformer Network for Multi-label Image Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2023 J jnl
Hybrid Representation Learning via Epistemic Graph.
CoRR
Jin Yuan, Yang Zhang, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2023 A* conf
Imbalanced Label Distribution Learning.
AAAI
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
2023 J jnl
Inaccurate Label Distribution Learning.
CoRR
Zhiqiang Kou, Yuheng Jia, Xin Geng
2023 J jnl
LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training.
Pattern Recognit.
Zihan Chen, Hongyuan Zhu, Hao Cheng, Siya Mi, Yu Zhang, Xin Geng
2023 J jnl
Label Distribution Learning by Exploiting Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Xin Geng
2023 J jnl
Label distribution learning for scene text detection.
Frontiers Comput. Sci.
Haoyu Ma, Ningning Lu, Junjun Mei, Tao Guan, Yu Zhang, Xin Geng
2023 J jnl
Language-Guided Face Animation by Recurrent StyleGAN-Based Generator.
IEEE Trans. Multim.
Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, Baining Guo
2023 J jnl
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models.
CoRR
Qiufeng Wang, Xu Yang, Shuxia Lin, Xin Geng
2023 A* conf
Learning From Biased Soft Labels.
NeurIPS
Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui
2023 J jnl
Learning From Biased Soft Labels.
CoRR
Hua Yuan, Ning Xu, Yu Shi, Xin Geng, Yong Rui
2023 J jnl
Manipulating the Label Space for In-Context Classification.
CoRR
Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng
2023 J jnl
Motional foreground attention-based video crowd counting.
Pattern Recognit.
Miaogen Ling, Tianhang Pan, Yi Ren, Ke Wang, Xin Geng
2023 J jnl
Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.
IEEE Trans. Knowl. Data Eng.
Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, Xin Geng
2023 J jnl
NormAUG: Normalization-guided Augmentation for Domain Generalization.
CoRR
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
2023 J jnl
Progressive Enhancement of Label Distributions for Partial Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng
2023 A* conf
Progressive Purification for Instance-Dependent Partial Label Learning.
ICML
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
2023 J jnl
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations.
CoRR
Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng
2023 A* conf
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.
ICML
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
2023 J jnl
Robust Representation Learning for Unreliable Partial Label Learning.
CoRR
Yu Shi, Dong-Dong Wu, Xin Geng, Min-Ling Zhang
2023 J jnl
Scalable Label Distribution Learning for Multi-Label Classification.
CoRR
Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng
2023 A* conf
Towards Effective Visual Representations for Partial-Label Learning.
CVPR
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2023 J jnl
Towards Effective Visual Representations for Partial-Label Learning.
CoRR
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2023 J jnl
Transformer as Linear Expansion of Learngene.
CoRR
Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
2023 J jnl
Trusted-Data-Guided Label Enhancement on Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst.
Ning Xu, Jia-Yu Li, Yun-Peng Liu, Xin Geng
2023 A* conf
Unreliable Partial Label Learning with Recursive Separation.
IJCAI
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
2023 J jnl
Unreliable Partial Label Learning with Recursive Separation.
CoRR
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
2023 J jnl
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.
Pattern Recognit.
Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng
2023 J jnl
Variational Label Enhancement.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
2023 J jnl
Variational Label-Correlation Enhancement for Congestion Prediction.
CoRR
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2022 J jnl
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification.
CoRR
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
2022 J jnl
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Chao Tan, Sheng Chen, Genlin Ji, Xin Geng
2022 J jnl
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao
2022 A* conf
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.
IJCAI
Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
2022 J jnl
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.
CoRR
Congyu Qiao, Ning Xu, Xin Geng
2022 J jnl
Feature-Induced Label Distribution for Learning with Noisy Labels.
Pattern Recognit. Lett.
Minxue Zhang, Ning Xu, Xin Geng
2022 A* conf
Fusion Label Enhancement for Multi-Label Learning.
IJCAI
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2022 J jnl
Graph Attention Transformer Network for Multi-Label Image Classification.
CoRR
Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2022 J jnl
Head Pose Estimation Based on Multivariate Label Distribution.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, Xin Qian, Zeng-Wei Huo, Yu Zhang
2022 J jnl
Label Distribution Learning for Generalizable Multi-source Person Re-identification.
CoRR
Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng
2022 J jnl
Label Distribution Learning for Generalizable Multisource Person Re-Identification.
IEEE Trans. Inf. Forensics Secur.
Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng
2022 J jnl
Label distribution for multimodal machine learning.
Frontiers Comput. Sci.
Yi Ren, Ning Xu, Miaogen Ling, Xin Geng
2022 J jnl
Language-Guided Face Animation by Recurrent StyleGAN-based Generator.
CoRR
Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, Baining Guo
2022 A* conf
Learngene: From Open-World to Your Learning Task.
AAAI
Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
2022 J jnl
Learning Hierarchical Graph Representation for Image Manipulation Detection.
CoRR
Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu
2022 B conf
Learning from Noisy Labels via Meta Credible Label Elicitation.
ICIP
Ziyang Gao, Yaping Yan, Xin Geng
2022 J jnl
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.
CoRR
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng
2022 J jnl
Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning.
IEEE Trans. Cybern.
Chao Tan, Sheng Chen, Genlin Ji, Xin Geng
2022 J jnl
Multilabel Ranking With Inconsistent Rankers.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang
2022 J jnl
Multistage attention network for human pose estimation.
J. Electronic Imaging
Jingyang Zhou, Guangzhao Wen, Yu Zhang, Xin Geng
2022 A* conf
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
NeurIPS
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
CoRR
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
Progressive Purification for Instance-Dependent Partial Label Learning.
CoRR
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
2022 J jnl
Re-Weighting Large Margin Label Distribution Learning for Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Wang, Xin Geng, Hui Xue
2022 J jnl
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Kate Smith-Miles, Xin Geng
2022 A* conf
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.
ACM Multimedia
Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2022 J jnl
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.
CoRR
Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2022 J jnl
Weakly supervised temporal action localization with proxy metric modeling.
Frontiers Comput. Sci.
Hongsheng Xu, Zihan Chen, Yu Zhang, Xin Geng, Siya Mi, Zhihong Yang
2021 J jnl
Auto-Encoding Score Distribution Regression for Action Quality Assessment.
CoRR
Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng
2021 J jnl
Compact learning for multi-label classification.
Pattern Recognit.
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2021 A* conf
Instance-Dependent Partial Label Learning.
NeurIPS
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2021 J jnl
Instance-Dependent Partial Label Learning.
CoRR
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2021 A* conf
Label Distribution Learning Machine.
ICML
Jing Wang, Xin Geng
2021 J jnl
Label Enhancement for Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Ning Xu, Yun-Peng Liu, Xin Geng
2021 A* conf
Learn the Highest Label and Rest Label Description Degrees.
IJCAI
Jing Wang, Xin Geng
2021 J jnl
Learngene: From Open-World to Your Learning Task.
CoRR
Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
2021 J jnl
Learning from Noisy Labels via Dynamic Loss Thresholding.
CoRR
Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang
2021 J jnl
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning.
IEEE Trans. Knowl. Data Eng.
Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, Xin Geng
2021 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
CoRR
Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2021 J jnl
Practical age estimation using deep label distribution learning.
Frontiers Comput. Sci.
Huiying Zhang, Yu Zhang, Xin Geng
2021 — conf
Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning.
WI/IAT
Xin Geng
2021 J jnl
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.
CoRR
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
2021 A* conf
Video Summarization via Label Distributions Dual-Reward.
IJCAI
Yongbiao Gao, Ning Xu, Xin Geng
2020 J jnl
Compact Learning for Multi-Label Classification.
CoRR
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2020 A* conf
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition.
CVPR
Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui
2020 A* conf
Label Distribution for Learning with Noisy Labels.
IJCAI
Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng
2020 A* conf
Label Enhancement for Label Distribution Learning via Prior Knowledge.
IJCAI
Yongbiao Gao, Yu Zhang, Xin Geng
2020 J jnl
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.
CoRR
Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2020 A* conf
Partial Multi-Label Learning with Label Distribution.
AAAI
Ning Xu, Yun-Peng Liu, Xin Geng
2020 A* conf
Progressive Identification of True Labels for Partial-Label Learning.
ICML
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 J jnl
Progressive Identification of True Labels for Partial-Label Learning.
CoRR
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 A* conf
Provably Consistent Partial-Label Learning.
NeurIPS
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 J jnl
Provably Consistent Partial-Label Learning.
CoRR
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 J jnl
Simultaneous 3D hand detection and pose estimation using single depth images.
Pattern Recognit. Lett.
Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng
2020 A* conf
Variational Label Enhancement.
ICML
Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng
2019 A* conf
Classification with Label Distribution Learning.
IJCAI
Jing Wang, Xin Geng
2019 A* conf
Discrete Binary Coding based Label Distribution Learning.
IJCAI
Ke Wang, Xin Geng
2019 A* conf
Hierarchical Classification Based on Label Distribution Learning.
AAAI
Changdong Xu, Xin Geng
2019 J jnl
Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning.
IEEE Trans. Image Process.
Miaogen Ling, Xin Geng
2019 A* conf
Partial Label Learning via Label Enhancement.
AAAI
Ning Xu, Jiaqi Lv, Xin Geng
2019 J jnl
Recurrent age estimation.
Pattern Recognit. Lett.
Huiying Zhang, Xin Geng, Yu Zhang, Fanyong Cheng
2019 A* conf
Soft Facial Landmark Detection by Label Distribution Learning.
AAAI
Kai Su, Xin Geng
2019 J jnl
Soft video parsing by label distribution learning.
Frontiers Comput. Sci.
Miaogen Ling, Xin Geng
2019 A* conf
Theoretical Analysis of Label Distribution Learning.
AAAI
Jing Wang, Xin Geng
2019 A* conf
Weakly Supervised Multi-Label Learning via Label Enhancement.
IJCAI
Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng
2018 A* conf
Age Estimation Using Expectation of Label Distribution Learning.
IJCAI
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2018 A* conf
Binary Coding based Label Distribution Learning.
IJCAI
Ke Wang, Xin Geng
2018 J jnl
Binary relevance for multi-label learning: an overview.
Frontiers Comput. Sci.
Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng
2018 A* conf
Label Embedding Based on Multi-Scale Locality Preservation.
IJCAI
Cheng-Lun Peng, An Tao, Xin Geng
2018 A* conf
Label Enhancement for Label Distribution Learning.
IJCAI
Ning Xu, An Tao, Xin Geng
2018 — conf
Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace.
PRICAI (1)
An Tao, Ning Xu, Xin Geng
2018 A* conf
Multi-label Learning with Label Enhancement.
ICDM
Ruifeng Shao, Ning Xu, Xin Geng
2018 — ed.
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I
PRICAI (1)
Xin Geng, Byeong-Ho Kang
2018 B ed.
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part II
PRICAI
Xin Geng, Byeong-Ho Kang
2017 J jnl
Data-Dependent Label Distribution Learning for Age Estimation.
IEEE Trans. Image Process.
Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang
2017 J jnl
Deep Label Distribution Learning With Label Ambiguity.
IEEE Trans. Image Process.
Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2017 J jnl
Multi-Label Learning with Label Enhancement.
CoRR
Ruifeng Shao, Xin Geng, Ning Xu
2017 A* conf
Ordinal Zero-Shot Learning.
IJCAI
Zeng-Wei Huo, Xin Geng
2017 A* conf
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation.
AAAI
Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv
2017 A* conf
Sense Beauty by Label Distribution Learning.
IJCAI
Yi Ren, Xin Geng
2017 A* conf
Soft Video Parsing by Label Distribution Learning.
AAAI
Xin Geng, Miaogen Ling
2016 B conf
A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition.
PRICAI
Hao Zheng, Xin Geng, Zhongxue Yang
2016 J jnl
A multi-task model for simultaneous face identification and facial expression recognition.
Neurocomputing
Hao Zheng, Xin Geng, Dacheng Tao, Zhong Jin
2016 — conf
Deep Age Distribution Learning for Apparent Age Estimation.
CVPR Workshops
Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng
2016 J jnl
Deep Label Distribution Learning with Label Ambiguity.
CoRR
Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2016 J jnl
Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Xin Geng
2016 A* conf
Logistic Boosting Regression for Label Distribution Learning.
CVPR
Chao Xing, Xin Geng, Hui Xue
2016 A* conf
Multi-Label Manifold Learning.
AAAI
Peng Hou, Xin Geng, Min-Ling Zhang
2016 A* conf
Sparsity Conditional Energy Label Distribution Learning for Age Estimation.
IJCAI
Xu Yang, Xin Geng, Deyu Zhou
2015 J jnl
Crowd counting in public video surveillance by label distribution learning.
Neurocomputing
Zhaoxiang Zhang, Mo Wang, Xin Geng
2015 — conf
Deep Label Distribution Learning for Apparent Age Estimation.
ICCV Workshops
Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng
2015 A* conf
Emotion Distribution Recognition from Facial Expressions.
ACM Multimedia
Ying Zhou, Hui Xue, Xin Geng
2015 — ch.
Incremental Learning.
Encyclopedia of Biometrics
Xin Geng, Kate Smith-Miles
2015 A* conf
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning.
ICDM
Yu-Kun Li, Min-Ling Zhang, Xin Geng
2015 A* conf
Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning.
IJCAI
Xin Geng, Peng Hou
2014 B conf
Facial Age Estimation by Adaptive Label Distribution Learning.
ICPR
Xin Geng, Qin Wang, Yu Xia
2014 — ch.
Facial Age Estimation: A Data Representation Perspective.
Human-Centered Social Media Analytics
Xin Geng
2014 A* conf
Head Pose Estimation Based on Multivariate Label Distribution.
CVPR
Xin Geng, Yu Xia
2014 J jnl
Label Distribution Learning.
CoRR
Xin Geng, Quan Zhao
2013 J jnl
Facial Age Estimation by Learning from Label Distributions.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, Chao Yin, Zhi-Hua Zhou
2013 — conf
Label Distribution Learning.
ICDM Workshops
Xin Geng, Rongzi Ji
2013 — conf
Pedestrian Detection Based on Incremental Learning.
IScIDE
Yu Xia, Yongzhen Huang, Liang Wang, Xin Geng
2012 — conf
Facial Age Estimation by Conditional Probability Neural Network.
CCPR
Chao Yin, Xin Geng
2011 J jnl
Face Image Modeling by Multilinear Subspace Analysis With Missing Values.
IEEE Trans. Syst. Man Cybern. Part B
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang
2010 J jnl
Context-aware fusion: A case study on fusion of gait and face for human identification in video.
Pattern Recognit.
Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu
2010 J jnl
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning.
IEEE Trans. Knowl. Data Eng.
Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao
2010 A* conf
Facial Age Estimation by Learning from Label Distributions.
AAAI
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
2009 J jnl
Editorial.
Int. J. Pattern Recognit. Artif. Intell.
Liang Wang, Qiang Wu, Ming Li, Jordi Gonzàlez, Xin Geng
2009 A* conf
Face image modeling by multilinear subspace analysis with missing values.
ACM Multimedia
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang
2009 Misc conf
Facial age estimation by multilinear subspace analysis.
ICASSP
Xin Geng, Kate Smith-Miles
2009 J jnl
Image/video-based pattern analysis and HCI applications.
Pattern Recognit. Lett.
Liang Wang, Qiang Wu, Hanzi Wang, Xin Geng, Ming Li
2009 — ch.
Incremental Learning.
Encyclopedia of Biometrics
Xin Geng, Kate Smith-Miles
2008 A conf
Adaptive Fusion of Gait and Face for Human Identification in Video.
WACV
Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles
2008 J jnl
Correction to "Automatic Age Estimation Based on Facial Aging Patterns".
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2008 A* conf
Facial age estimation by nonlinear aging pattern subspace.
ACM Multimedia
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
2008 J jnl
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions.
IEEE Trans. Neural Networks
Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2008 A* conf
Moving shape dynamics: A signal processing perspective.
CVPR
Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao
2008 A* conf
SpecVAT: Enhanced Visual Cluster Analysis.
ICDM
Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao
2007 J jnl
Automatic Age Estimation Based on Facial Aging Patterns.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
2006 — conf
Abnormal Behavior Detection for Early Warning of Terrorist Attack.
Australian Conference on Artificial Intelligence
Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai
2006 J jnl
Image Region Selection and Ensemble for Face Recognition.
J. Comput. Sci. Technol.
Xin Geng, Zhi-Hua Zhou
2006 A* conf
Learning from facial aging patterns for automatic age estimation.
ACM Multimedia
Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai
2006 B conf
Uncontrolled Face Recognition by Individual Stable Neural Network.
PRICAI
Xin Geng, Zhi-Hua Zhou, Honghua Dai
2005 J jnl
Supervised nonlinear dimensionality reduction for visualization and classification.
IEEE Trans. Syst. Man Cybern. Part B
Xin Geng, De-Chuan Zhan, Zhi-Hua Zhou
2004 J jnl
Projection functions for eye detection.
Pattern Recognit.
Zhi-Hua Zhou, Xin Geng