Xiaofeng Gao
17 papers · 2019–2026 · 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
π
Grand Slam
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(91)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Deep Learning
(6)
Application Areas
(6)
Core AI
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Data Science & Analytics
(5)
Learning Paradigms
(5)
Applications
(4)
Architectures
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Models
(2)
Keywords
collaborative filtering
(3)
recommender system
(3)
knowledge distillation
(2)
orthogonal projection
(2)
contrastive learning
(2)
representation learning
(2)
vision-language model
(2)
graph neural network
(2)
multi-task learning
(2)
multimodal learning
(2)
data augmentation
(1)
attention mechanism
(1)
link prediction
(1)
video generation
(1)
curriculum learning
(1)
semantic segmentation
(1)
prompt-based learning
(1)
matrix factorization
(1)
policy learning
(1)
in-context learning
(1)
Papers
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
AAAI 2026
START: Spatial and Textual Learning for Chart Understanding
WACV 2026
Enhancing Masked Time-Series Modeling via Dropping Patches
AAAI 2025
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
ICLR 2025
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
AAAI 2025
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
ICLR 2025
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation
CVPR 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
ICML 2024
Mixture of Link Predictors on Graphs
NeurIPS 2024
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
NeurIPS 2023
ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes
ICCV 2023
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation
IJCAI 2023
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI 2022
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
IJCAI 2022
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
ICML 2021
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
IJCAI 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
NeurIPS 2019