Jiexi Yan
17 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Grand Slam
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Dynamic Duo
(12)
ποΈ
Keyword Collector
(90)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(7)
Computer Vision
(5)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Generation
(3)
Analysis
(2)
Architectures
(2)
Natural Language Processing
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Keywords
metric learning
(3)
feature embedding
(3)
contrastive learning
(3)
domain generalization
(2)
zero-shot learning
(2)
representation learning
(2)
knowledge editing
(2)
noisy label
(2)
multimodal learning
(2)
sketch-based image retrieval
(2)
feature learning
(2)
transfer learning
(1)
image generation
(1)
domain adaptation
(1)
semantic segmentation
(1)
action recognition
(1)
few-shot learning
(1)
continual learning
(1)
self-supervised learning
(1)
noisy label learning
(1)
Papers
Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation
AAAI 2026
Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning
AAAI 2026
Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models
AAAI 2026
Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models
ACL 2026
Multimodal Semantic Bias Mitigation for Diverse Text-To-3D Generation
CVPR 2026
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images
IJCAI 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
ICCV 2025
Straighten Viscous Rectified Flow via Noise Optimization
ICCV 2025
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
ICLR 2025
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval
AAAI 2024
LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures
ACL 2024
Retrieval Across Any Domains via Large-scale Pre-trained Model
ICML 2024
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning
ICCV 2023
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning
NeurIPS 2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
CVPR 2022
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
IJCAI 2021
Unsupervised Hyperbolic Metric Learning
CVPR 2021