← Authors

Yan Yan

105 papers · 2010–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (9) 🏠 Conference Loyalist (26) πŸ† Keyword Champion (7) πŸ† Grand Slam 🀝 Dynamic Duo (16) πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (395) πŸ’Ž Century Club (100) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) ❓ The Questioner (2) ⚑ Prolific Year (8)

Conferences

CVPR (26) AAAI (21) ICCV (16) ECCV (10) IJCAI (7) NIPS (7) ICLR (4) WACV (4) ICML (3) UAI (3) AISTATS (2) EMNLP (1) JMLR (1)

Top co-authors

Yuzhang Shang (16) Nicu Sebe (11) Hanzi Wang (11) Yi Yang (11) Tianbao Yang (9) Gaowen Liu (9) Hao Tang (9) Bin Duan (8) Hanyu Xuan (6) Ziliang Zong (6)

Keywords

model compression (9) conformal prediction (7) semantic segmentation (6) uncertainty quantification (6) multi-task learning (5) generative adversarial network (5) contrastive learning (5) prediction set (5) diffusion model (5) knowledge distillation (5) generative model (4) person re-identification (4) deep neural network (4) self-supervised learning (4) min-max optimization (4) stochastic optimization (3) representation learning (3) image generation (3) post-training quantization (3) attention mechanism (3)

Papers

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 RΓ©nyi 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 360Β° 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