Yifan Sun

Automatic Channel Pruning by Searching with Structure Embedding for Hash Network AAAI 2026 CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation CVPR 2026 Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments ACL 2026 Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework EACL 2026 Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning CVPR 2026 Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting AAAI 2026 BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving ACL 2025 Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots L4DC 2025 CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective ICCV 2025 Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery ACL 2025 Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization ICML 2025 Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization L4DC 2025 MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025 Origin Identification for Text-Guided Image-to-Image Diffusion Models ICML 2025 The Emperor’s New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination ICML 2025 The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas EMNLP 2025 2D-OOB: Attributing Data Contribution Through Joint Valuation Framework NeurIPS 2024 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence ICML 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Continual Learning with Global Alignment NeurIPS 2024 Dense Connector for MLLMs NeurIPS 2024 EASE-DETR: Easing the Competition among Object Queries CVPR 2024 Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs ICLR 2024 Image Copy Detection for Diffusion Models NeurIPS 2024 Iterative Methods via Locally Evolving Set Process NeurIPS 2024 LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction ECCV 2024 MS-DETR: Efficient DETR Training with Mixed Supervision CVPR 2024 Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding NeurIPS 2024 Regression Learning with Limited Observations of Multivariate Outcomes and Features ICML 2024 A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection AAAI 2023 A Unified Continual Learning Framework with General Parameter-Efficient Tuning ICCV 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023 Context-Aware Pretraining for Efficient Blind Image Decomposition CVPR 2023 DAC-DETR: Divide the Attention Layers and Conquer NeurIPS 2023 Decompose to Generalize: Species-Generalized Animal Pose Estimation ICLR 2023 DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection CVPR 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NeurIPS 2023 Jigsaw: Learning to Assemble Multiple Fractured Objects NeurIPS 2023 Large-Scale Person Detection and Localization Using Overhead Fisheye Cameras ICCV 2023 PGSS: Pitch-Guided Speech Separation AAAI 2023 Pose Synchronization Under Multiple Pair-Wise Relative Poses CVPR 2023 ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification CVPR 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 Semi-attention Partition for Occluded Person Re-identification AAAI 2023 Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation ICLR 2023 TransHP: Image Classification with Hierarchical Prompting NeurIPS 2023 WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings ACL 2023 Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022 Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification AAAI 2022 Feature-Proxy Transformer for Few-Shot Segmentation NeurIPS 2022 H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection CVPR 2022 Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification CVPR 2022 Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory AAAI 2022 Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining ACL 2022 Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification ICLR 2022 UFO: Unified Feature Optimization ECCV 2022 Unsupervised Acoustic-to-Articulatory Inversion with Variable Vocal Tract Anatomy Interspeech 2022 Unsupervised Inference of Physiologically Meaningful Articulatory Trajectories with VocalTractLab Interspeech 2022 Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021 IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID ICCV 2021 Learning View Selection for 3D Scenes CVPR 2021 Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework NeurIPS 2021 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions ECCV 2020 Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective CVPR 2020 Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020 Are we there yet? Manifold identification of gradient-related proximal methods AISTATS 2019 K-Best Transformation Synchronization ICCV 2019 Learning low-dimensional state embeddings and metastable clusters from time series data NeurIPS 2019 Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification CVPR 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Vehicle Re-Identification With Viewpoint-Aware Metric Learning ICCV 2019 Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline) ECCV 2018 Joint Map and Symmetry Synchronization ECCV 2018 Wide Compression: Tensor Ring Nets CVPR 2018 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 SVDNet for Pedestrian Retrieval ICCV 2017