Fei Yu
31 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (10)
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Conference Polyglot
(10)
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Academic Marathon
(10)
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Mega-Team
(22)
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Keyword Collector
(130)
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Trend Setter
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Century Club
(29)
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Unstoppable
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Prolific Year
(7)
Conferences
AAAI (6)
ACL (5)
EMNLP (5)
IJCAI (4)
ICCV (3)
NAACL (3)
ICML (2)
ACML (1)
MICCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
large language model
(5)
instruction following
(3)
reinforcement learning from human feedback
(2)
reward model
(2)
video generation
(2)
semantic segmentation
(2)
supervised fine-tuning
(2)
visual grounding
(2)
knowledge distillation
(2)
metric learning
(1)
hyperparameter optimization
(1)
anomaly detection
(1)
curriculum learning
(1)
one-shot learning
(1)
image restoration
(1)
temporal modeling
(1)
zero-shot learning
(1)
direct preference optimization
(1)
attention mechanism
(1)
motion estimation
(1)
Papers
Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
ACL 2026
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction
AAAI 2026
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
ICML 2025
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
ICML 2025
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
NAACL 2025
Flexora: Flexible Low-Rank Adaptation for Large Language Models
ACL 2025
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening
IJCAI 2025
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
ACL 2025
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
ACL 2025
ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
MICCAI 2025
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
AAAI 2025
PAFT: Prompt-Agnostic Fine-Tuning
EMNLP 2025
Order Doesnβt Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
EMNLP 2025
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
ACL 2025
Periodical Moving Average Accelerates Gradient Accumulation for Post-Training
UAI 2025
PVChat: Personalized Video Chat with One-Shot Learning
ICCV 2025
ABM: Attention before Manipulation
IJCAI 2024
AceGPT, Localizing Large Language Models in Arabic
NAACL 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
EMNLP 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning
NAACL 2024
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
ICCV 2023
HuatuoGPT, Towards Taming Language Model to Be a Doctor
EMNLP 2023
Accurate 3D Face Reconstruction with Facial Component Tokens
ICCV 2023
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
IJCAI 2022
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
AAAI 2021
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training
AAAI 2021
Solving the Partial Label Learning Problem: An Instance-Based Approach
IJCAI 2015
Maximum Margin Partial Label Learning
ACML 2015