ML Anthology

Yan, Yan

125 publications

ICLR 2026 CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval Feiran Wang, Junyi Wu, Dawen Cai, Yuan Hong, Yan Yan
ICLR 2026 GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning Weitai Kang, Bin Lei, Gaowen Liu, Caiwen Ding, Yan Yan
ICLR 2026 Keep the Best, Forget the REST: Reliable Alignment with Order-Aware Preference Optimization Jiahui Zhu, Yuanjie Shi, Xiyue Peng, Xin Liu, Yan Yan, Honghao Wei
ICLR 2026 Real-Time Robot Execution with Masked Action Chunking Haoxuan Wang, Gengyu Zhang, Yan Yan, Yuzhang Shang, Ramana Rao Kompella, Gaowen Liu
ICCV 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
UAI 2025 Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Jana Doppa
ICCV 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, Xiangyang Ji
CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie
ICML 2025 Direct Prediction Set Minimization via Bilevel Conformal Classifier Training Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan
CVPR 2025 Distilling Long-Tailed Datasets Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
NeurIPS 2025 Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
CVPR 2025 Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model Changchang Sun, Gaowen Liu, Charles Fleming, Yan Yan
UAI 2025 Federated Rényi Fair Inference in Federated Heterogeneous System Zhiyong Ma, Yuanjie Shi, Yan Yan, Jian Chen
NeurIPS 2025 InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
ICLR 2025 Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan
ICCV 2025 LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
JAIR 2025 LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking Yan Yan, Junyuan Liu, Bo-Wen Zhang
ICCV 2025 Language Decoupling with Fine-Grained Knowledge Guidance for Referring Multi-Object Tracking Guangyao Li, Siping Zhuang, Yajun Jian, Yan Yan, Hanzi Wang
ICCV 2025 MaskSAM: Auto-Prompt SAM with Mask Classification for Volumetric Medical Image Segmentation Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan, Gady Agam
NeurIPS 2025 Orientation-Anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
ICCV 2025 QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
ICCV 2025 Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan
NeurIPS 2025 WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting Kaitao Huang, Yan Yan, Jing-Hao Xue, Hanzi Wang
NeurIPS 2025 X-Field: A Physically Informed Representation for 3D X-Ray Reconstruction Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-Level Performance in Federated Learning Under Heterogeneous and Long-Tailed Data Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang
CVPR 2024 BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition Yuxuan Zhou, Xudong Yan, Zhi-Qi Cheng, Yan Yan, Qi Dai, Xian-Sheng Hua
NeurIPS 2024 Conformal Prediction for Class-Wise Coverage via Augmented Label Rank Calibration Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
ECCV 2024 Dataset Quantization with Active Learning Based Adaptive Sampling Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
CVPR 2024 Efficient Multitask Dense Predictor via Binarization Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
CVPR 2024 Enhancing Post-Training Quantization Calibration Through Contrastive Learning Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
AAAI 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization Yan Yan, Yuhong Guo
AAAI 2024 High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu
WACV 2024 Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation Bin Duan, Hao Tang, Changchang Sun, Ye Zhu, Yan Yan
CVPR 2024 On the Faithfulness of Vision Transformer Explanations Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
NeurIPS 2024 PTQ4DiT: Post-Training Quantization for Diffusion Transformers Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
ECCV 2024 SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan
AAAI 2024 Spatial-Contextual Discrepancy Information Compensation for GAN Inversion Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang
ICML 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
CVPR 2024 Token Transformation Matters: Towards Faithful Post-Hoc Explanation for Vision Transformer Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan
CVPR 2024 Versatile Navigation Under Partial Observability via Value-Guided Diffusion Policy Gengyu Zhang, Hao Tang, Yan Yan
AAAI 2024 WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan
NeurIPS 2023 Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
ICCV 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
CVPR 2023 Deep Stereo Video Inpainting Zhiliang Wu, Changchang Sun, Hanyu Xuan, Yan Yan
ICLR 2023 Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
AAAI 2023 Enhance Robustness of Machine Learning with Improved Efficiency Yan Yan
JMLR 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang
WACV 2023 Few-Shot Medical Image Segmentation with Cycle-Resemblance Attention Hao Ding, Changchang Sun, Hao Tang, Dawen Cai, Yan Yan
AAAI 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
NeurIPS 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang, Zhihang Yuan, Yan Yan
AAAI 2023 MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-Identification Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang
ICLR 2023 Mutual Partial Label Learning with Competitive Label Noise Yan Yan, Yuhong Guo
ICLR 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment Yan Yan, Yuhong Guo
CVPR 2023 Post-Training Quantization on Diffusion Models Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
UAI 2023 Probabilistically Robust Conformal Prediction Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
CVPR 2023 Semi-Supervised Video Inpainting with Cycle Consistency Constraints Zhiliang Wu, Hanyu Xuan, Changchang Sun, Weili Guan, Kang Zhang, Yan Yan
ICCV 2023 Towards Saner Deep Image Registration Bin Duan, Ming Zhong, Yan Yan
CVPR 2022 A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
IJCAI 2022 Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
CVPRW 2022 Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan
ECCV 2022 Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
ECCV 2022 Learning Omnidirectional Flow in 360° Video via Siamese Representation Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan
ECCV 2022 Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
ECCV 2022 Network Binarization via Contrastive Learning Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
ECCV 2022 Quantized GAN for Complex Music Generation from Dance Videos Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov
AAAI 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
AAAI 2022 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
AAAI 2021 Adversarial Partial Multi-Label Learning with Label Disambiguation Yan Yan, Yuhong Guo
WACV 2021 Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention Bin Duan, Hao Tang, Wei Wang, Ziliang Zong, Guowei Yang, Yan Yan
CVPR 2021 Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang
ICCV 2021 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
CVPR 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang
CVPR 2021 Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang
ICCV 2021 Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
IJCAI 2021 Multi-Level Generative Models for Partial Label Learning with Non-Random Label Noise Yan Yan, Yuhong Guo
ECML-PKDD 2021 Small-Vote Sample Selection for Label-Noise Learning Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
ECCV 2020 A Simple and Effective Framework for Pairwise Deep Metric Learning Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
AAAI 2020 Adversarial Localized Energy Network for Structured Prediction Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang
ICLR 2020 Adversarial Paritial Multi-Label Learning Yan Yan, Yuhong Guo
AAAI 2020 Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan
ECCV 2020 Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents Ye Zhu, Yu Wu, Yi Yang, Yan Yan
ECCVW 2020 Hierarchical HMM for Eye Movement Classification Ye Zhu, Yan Yan, Oleg Komogortsev
WACV 2020 Is Pruning Compression?: Investigating Pruning via Network Layer Similarity Cody Blakeney, Yan Yan, Ziliang Zong
CVPR 2020 Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation Hao Tang, Dan Xu, Yan Yan, Philip H.S. Torr, Nicu Sebe
CVPR 2020 Online Depth Learning Against Forgetting in Monocular Videos Zhenyu Zhang, Stephane Lathuiliere, Elisa Ricci, Nicu Sebe, Yan Yan, Jian Yang
NeurIPS 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
AAAI 2020 Partial Label Learning with Batch Label Correction Yan Yan, Yuhong Guo
ICML 2020 Stochastic Optimization for Non-Convex Inf-Projection Problems Yan Yan, Yi Xu, Lijun Zhang, Wang Xiaoyu, Tianbao Yang
AAAI 2019 A Bottom-up Clustering Approach to Unsupervised Person Re-Identification Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang
AAAI 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
WACV 2019 Deep Micro-Dictionary Learning and Coding Network Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe
ICCV 2019 Dual Attention Matching for Audio-Visual Event Localization Yu Wu, Linchao Zhu, Yan Yan, Yi Yang
AAAI 2019 Hypergraph Optimization for Multi-Structural Geometric Model Fitting Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
CVPR 2019 Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan
IJCAI 2019 Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen
CVPR 2019 Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang
NeurIPS 2019 Stagewise Training Accelerates Convergence of Testing Error over SGD Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
IJCAI 2018 A Unified Analysis of Stochastic Momentum Methods for Deep Learning Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
ECCV 2018 Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
CVPR 2018 Style Aggregated Network for Facial Landmark Detection Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
AAAI 2017 A Framework of Online Learning with Imbalanced Streaming Data Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen
CVPR 2017 Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso
AAAI 2016 Fortune Teller: Predicting Your Career Path Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum
NeurIPS 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang
AAAI 2016 Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi
ECCV 2016 Person Re-Identification via Recurrent Feature Aggregation Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, Xiaokang Yang
CVPR 2016 Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe
CVPR 2016 Recurrent Face Aging Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe
AAAI 2016 Robust Semi-Supervised Learning Through Label Aggregation Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
ECCV 2016 Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data Guobao Xiao, Hanzi Wang, Yan Yan, David Suter
AAAI 2015 Complex Event Detection via Event Oriented Dictionary Learning Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe
IJCAI 2015 Inferring Painting Style with Multi-Task Dictionary Learning Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe
ICCV 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu
IJCAI 2015 Looking at Mondrian's Victory Boogie-Woogie: What Do I Feel? Andreza Sartori, Yan Yan, Gözde Özbal, Alkim Almila Akdag Salah, Albert Ali Salah, Nicu Sebe
ICCV 2015 Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting Hanzi Wang, Guobao Xiao, Yan Yan, David Suter
CVPR 2015 Optimal Graph Learning with Partial Tags and Multiple Features for Image and Video Annotation Lianli Gao, Jingkuan Song, Feiping Nie, Yan Yan, Nicu Sebe, Heng Tao Shen
IJCAI 2015 Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi
AAAI 2014 Hybrid Heterogeneous Transfer Learning Through Deep Learning Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan
MLJ 2014 Learning from Multiple Annotators with Varying Expertise Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy
ICCV 2013 No Matter Where You Are: Flexible Graph-Guided Multi-Task Learning for Multi-View Head Pose Classification Under Target Motion Yan Yan, Elisa Ricci, Ramanathan Subramanian, Oswald Lanz, Nicu Sebe
AISTATS 2012 Active Learning from Multiple Knowledge Sources Yan Yan, Romer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer Dy
ICML 2011 Active Learning from Crowds Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
AISTATS 2010 Modeling Annotator Expertise: Learning When Everybody Knows a Bit of Something Yan Yan, Romer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo, Luca Bogoni, Linda Moy, Jennifer Dy
UAI 2010 Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy