LI He
14 papers · 2013–2026 · 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Renaissance Researcher
(8)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
Top co-authors
Research topics
Machine Learning
(8)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(4)
Computer Vision
(3)
Deep Learning
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Analysis
(2)
Core Methods
(2)
Generation
(2)
Methods
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Keywords
graph neural network
(2)
imitation learning
(2)
offline reinforcement learning
(2)
representation learning
(1)
preference learning
(1)
natural language generation
(1)
edge noise
(1)
bayesian inference
(1)
information bottleneck
(1)
sparse representation
(1)
semantic parsing
(1)
self-supervised learning
(1)
policy optimization
(1)
cross-domain learning
(1)
link prediction
(1)
convergence analysis
(1)
feature matching
(1)
abstract meaning representation
(1)
semantic representation
(1)
one-shot learning
(1)
Papers
DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing
AAAI 2026
Hierarchical Visual Relocalization with Nearest View Synthesis from Feature Gaussian Splatting
CVPR 2026
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
NeurIPS 2024
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes
CVPR 2024
PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects
ECCV 2024
AMR-TST: Abstract Meaning Representation-based Text Style Transfer
ACL 2023
Beyond Reward: Offline Preference-guided Policy Optimization
ICML 2023
CEIL: Generalized Contextual Imitation Learning
NeurIPS 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CoRL 2023
Combating Bilateral Edge Noise for Robust Link Prediction
NeurIPS 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery
ICML 2023
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
ECCV 2022
Differential Equations for Modeling Asynchronous Algorithms
IJCAI 2018
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution
CVPR 2013