Yifan Sun
77 papers · 2017–2026 · 15 conferences · across top CS/AI conferences
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Keyword Collector
(314)
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(73)
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Conferences
NIPS (15)
CVPR (14)
AAAI (8)
ICCV (7)
ICML (7)
ACL (5)
ECCV (5)
ICLR (4)
AISTATS (3)
EMNLP (2)
INTERSPEECH (2)
L4DC (2)
EACL (1)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
person re-identification
(7)
object detection
(7)
unsupervised learning
(5)
representation learning
(5)
domain adaptation
(5)
metric learning
(5)
attention mechanism
(3)
large language model
(3)
vision transformer
(3)
self-supervised learning
(2)
federated learning
(2)
continual learning
(2)
embedding learning
(2)
direct preference optimization
(2)
contrastive learning
(2)
few-shot learning
(2)
image classification
(2)
feature learning
(2)
feature alignment
(2)
transfer learning
(2)
Papers
Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework
EACL 2026
Automatic Channel Pruning by Searching with Structure Embedding for Hash Network
AAAI 2026
Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting
AAAI 2026
Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments
ACL 2026
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
ICML 2025
BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving
ACL 2025
Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery
ACL 2025
Origin Identification for Text-Guided Image-to-Image Diffusion Models
ICML 2025
The Emperorβs New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
ICML 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
EMNLP 2025
CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective
ICCV 2025
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
L4DC 2025
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas
EMNLP 2025
Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots
L4DC 2025
MS-DETR: Efficient DETR Training with Mixed Supervision
CVPR 2024
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence
ICML 2024
Regression Learning with Limited Observations of Multivariate Outcomes and Features
ICML 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
ICLR 2024
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
ECCV 2024
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
NIPS 2024
Continual Learning with Global Alignment
NIPS 2024
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
NIPS 2024
Iterative Methods via Locally Evolving Set Process
NIPS 2024
Dense Connector for MLLMs
NIPS 2024
EASE-DETR: Easing the Competition among Object Queries
CVPR 2024
Image Copy Detection for Diffusion Models
NIPS 2024
Automated Multi-level Preference for MLLMs
NIPS 2024
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
ICLR 2023
Jigsaw: Learning to Assemble Multiple Fractured Objects
NIPS 2023
TransHP: Image Classification with Hierarchical Prompting
NIPS 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
NIPS 2023
DAC-DETR: Divide the Attention Layers and Conquer
NIPS 2023
Semi-attention Partition for Occluded Person Re-identification
AAAI 2023
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
AAAI 2023
PGSS: Pitch-Guided Speech Separation
AAAI 2023
Clustered Federated Learning for Heterogeneous Data (Student Abstract)
AAAI 2023
WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings
ACL 2023
Reducing Discretization Error in the Frank-Wolfe Method
AISTATS 2023
Context-Aware Pretraining for Efficient Blind Image Decomposition
CVPR 2023
ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
CVPR 2023
DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection
CVPR 2023
Pose Synchronization Under Multiple Pair-Wise Relative Poses
CVPR 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
ICCV 2023
Large-Scale Person Detection and Localization Using Overhead Fisheye Cameras
ICCV 2023
Decompose to Generalize: Species-Generalized Animal Pose Estimation
ICLR 2023
Fast Online Node Labeling for Very Large Graphs
ICML 2023
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
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification
AAAI 2022
Feature-Proxy Transformer for Few-Shot Segmentation
NIPS 2022
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification
ICLR 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
ICML 2022
Unsupervised Acoustic-to-Articulatory Inversion with Variable Vocal Tract Anatomy
INTERSPEECH 2022
Unsupervised Inference of Physiologically Meaningful Articulatory Trajectories with VocalTractLab
INTERSPEECH 2022
Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining
ACL 2022
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory
AAAI 2022
UFO: Unified Feature Optimization
ECCV 2022
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
NIPS 2021
Learning View Selection for 3D Scenes
CVPR 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
ICCV 2021
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales
CVPR 2021
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
Circle Loss: A Unified Perspective of Pair Similarity Optimization
CVPR 2020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
AISTATS 2020
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning
JMLR 2019
Learning low-dimensional state embeddings and metastable clusters from time series data
NIPS 2019
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification
CVPR 2019
Are we there yet? Manifold identification of gradient-related proximal methods
AISTATS 2019
Vehicle Re-Identification With Viewpoint-Aware Metric Learning
ICCV 2019
K-Best Transformation Synchronization
ICCV 2019
Wide Compression: Tensor Ring Nets
CVPR 2018
Joint Map and Symmetry Synchronization
ECCV 2018
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
ECCV 2018
Straggler Mitigation in Distributed Optimization Through Data Encoding
NIPS 2017
Inverse Covariance Estimation with Structured Groups
IJCAI 2017
SVDNet for Pedestrian Retrieval
ICCV 2017