Yan Yan

Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective AAAI 2026 Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition AAAI 2026 Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 ProxyTTT: Proxy-driven Test-Time Training for Multi-modal Re-identification AAAI 2026 QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025 Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning ICCV 2025 Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention ICLR 2025 Direct Prediction Set Minimization via Bilevel Conformal Classifier Training ICML 2025 Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model CVPR 2025 Distilling Long-tailed Datasets CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 Language Decoupling with Fine-grained Knowledge Guidance for Referring Multi-object Tracking ICCV 2025 Federated Rényi Fair Inference in Federated Heterogeneous System UAI 2025 LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models ICCV 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025 MaskSAM: Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation ICCV 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression UAI 2025 Efficient Multitask Dense Predictor via Binarization CVPR 2024 High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification AAAI 2024 WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting AAAI 2024 Spatial-Contextual Discrepancy Information Compensation for GAN Inversion AAAI 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024 Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation WACV 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NIPS 2024 Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration NIPS 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition CVPR 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy CVPR 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks ICML 2024 SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding ECCV 2024 Dataset Quantization with Active Learning based Adaptive Sampling ECCV 2024 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Probabilistically robust conformal prediction UAI 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment ICLR 2023 Mutual Partial Label Learning with Competitive Label Noise ICLR 2023 MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification AAAI 2023 Post-Training Quantization on Diffusion Models CVPR 2023 Deep Stereo Video Inpainting CVPR 2023 Boundary Guided Learning-Free Semantic Control with Diffusion Models NIPS 2023 Towards Saner Deep Image Registration ICCV 2023 Semi-Supervised Video Inpainting With Cycle Consistency Constraints CVPR 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation NIPS 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Normal-Abnormal Decoupling Memory for Medical Report Generation EMNLP 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation ICLR 2023 Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination IJCAI 2022 Network Binarization via Contrastive Learning ECCV 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework AAAI 2022 Lipschitz Continuity Retained Binary Neural Network ECCV 2022 Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition ECCV 2022 Quantized GAN for Complex Music Generation from Dance Videos ECCV 2022 Learning Omnidirectional Flow in 360° Video via Siamese Representation ECCV 2022 A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos CVPR 2022 Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection CVPR 2021 Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition CVPR 2021 Lipschitz Continuity Guided Knowledge Distillation ICCV 2021 Adversarial Partial Multi-Label Learning with Label Disambiguation AAAI 2021 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification ICCV 2021 Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention WACV 2021 Multi-level Generative Models for Partial Label Learning with Non-random Label Noise IJCAI 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data CVPR 2021 Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents ECCV 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization NIPS 2020 Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization AAAI 2020 Adversarial Localized Energy Network for Structured Prediction AAAI 2020 Partial Label Learning with Batch Label Correction AAAI 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation CVPR 2020 A Simple and Effective Framework for Pairwise Deep Metric Learning ECCV 2020 Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020 Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity WACV 2020 Stagewise Training Accelerates Convergence of Testing Error Over SGD NIPS 2019 Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching IJCAI 2019 Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation CVPR 2019 Hypergraph Optimization for Multi-Structural Geometric Model Fitting AAAI 2019 A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification AAAI 2019 Dual Attention Matching for Audio-Visual Event Localization ICCV 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation CVPR 2019 A Unified Analysis of Stochastic Momentum Methods for Deep Learning IJCAI 2018 Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization ECCV 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning CVPR 2018 Style Aggregated Network for Facial Landmark Detection CVPR 2018 Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking CVPR 2017 Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion CVPR 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ NIPS 2016 Recurrent Face Aging CVPR 2016 Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting ICCV 2015 Inferring Painting Style with Multi-Task Dictionary Learning IJCAI 2015 Looking at Mondrian's Victory Boogie-Woogie: What Do I Feel? IJCAI 2015 Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search IJCAI 2015 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion ICCV 2013 Active Learning from Multiple Knowledge Sources AISTATS 2012 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010