Fei Yang
23 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (10) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (58)
π
Conference Polyglot
(9)
π
Academic Marathon
(10)
π
Renaissance Researcher
(8)
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Century Club
(21)
ποΈ
Keyword Collector
(114)
β‘
Prolific Year
(8)
π₯
Unstoppable
(8)
Conferences
CVPR (9)
EMNLP (2)
ICCV (2)
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
ACML (1)
COLING (1)
ECCV (1)
WACV (1)
Top co-authors
Keywords
few-shot learning
(3)
diffusion model
(2)
pre-trained language model
(2)
prompt learning
(2)
continual learning
(2)
transfer learning
(2)
language model
(2)
large language model
(2)
catastrophic forgetting
(1)
image generation
(1)
representation learning
(1)
adversarial learning
(1)
ensemble learning
(1)
online clustering
(1)
contrastive learning
(1)
sparse representation
(1)
image retrieval
(1)
semantic segmentation
(1)
video generation
(1)
k-means clustering
(1)
Papers
Linguistic Steganography via Self-Adjusting Asymmetric Number System (Abstract Reprint)
AAAI 2026
OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning
ACL 2026
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
CVPR 2025
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
CVPR 2025
KAC: Kolmogorov-Arnold Classifier for Continual Learning
CVPR 2025
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
CVPR 2025
Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
ICCV 2025
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
ICML 2025
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
ICML 2025
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
WACV 2025
FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization
COLING 2024
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
NIPS 2023
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
ECCV 2022
Exploring evolution-aware & -free protein language models as protein function predictors
NIPS 2022
Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data
ACML 2021
Meta Distant Transfer Learning for Pre-trained Language Models
EMNLP 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression
CVPR 2021
Learning Dynamic Relationships for 3D Human Motion Prediction
CVPR 2020
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
ICCV 2019
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
CVPR 2018
Deep Sparse Representation for Robust Image Registration
CVPR 2015
Web Scale Photo Hash Clustering on A Single Machine
CVPR 2015