Kun Chen
17 papers · 2018–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(8)
Artificial Intelligence
(7)
Application Areas
(5)
Core AI
(5)
Architectures
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Learning Types
(3)
Models
(3)
Optimization
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Applications
(2)
Keywords
weather forecasting
(4)
diffusion model
(2)
data assimilation
(2)
singular value decomposition
(2)
convergence analysis
(1)
channel attention
(1)
matrix factorization
(1)
privacy-preserving learning
(1)
dialogue generation
(1)
computational efficiency
(1)
regret minimization
(1)
sparse regression
(1)
time series forecasting
(1)
distributed computing
(1)
factor regression
(1)
coordinate descent
(1)
communication efficiency
(1)
stagewise learning
(1)
sparse matrix factorization
(1)
constrained optimization
(1)
Papers
AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System
AAAI 2026
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
AAAI 2026
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
ACL 2026
SEATrack: Simple, Efficient, and Adaptive Multimodal Tracker
CVPR 2026
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
ACL 2026
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
ACL 2025
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
ICLR 2025
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
CVPR 2025
VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
ICLR 2025
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
NeurIPS 2024
Towards a Self-contained Data-driven Global Weather Forecasting Framework
ICML 2024
Fast Stagewise Sparse Factor Regression
JMLR 2022
iCNN-Transformer: An improved CNN-Transformer with Channel-spatial Attention and Keyword Prediction for Automated Audio Captioning
Interspeech 2022
On Non-local Convergence Analysis of Deep Linear Networks
ICML 2022
Communication-Efficient Distributed SVD via Local Power Iterations
ICML 2021
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
IJCAI 2018
Boosted Sparse and Low-Rank Tensor Regression
NeurIPS 2018