Ke Liu
17 papers · 2022–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (31) π Cross-Pollinator (12)
π
Renaissance Researcher
(7)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(64)
π
Century Club
(17)
β‘
Prolific Year
(10)
Conferences
IJCAI (5)
AAAI (3)
ICML (3)
ECCV (1)
EMNLP (1)
ICCV (1)
MICCAI (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
implicit neural representation
(3)
crystal structure
(2)
image reconstruction
(2)
brain-computer interface
(2)
self-supervised learning
(1)
attention mechanism
(1)
vision transformer
(1)
neural architecture search
(1)
video generation
(1)
talking head generation
(1)
deep learning
(1)
neural network optimization
(1)
progressive learning
(1)
multi-modal learning
(1)
fmri decoding
(1)
instruction tuning
(1)
temporal dynamics
(1)
diffusion model
(1)
3d gaussian splatting
(1)
representation learning
(1)
Papers
Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models
IJCAI 2025
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features
IJCAI 2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
IJCAI 2025
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
IJCAI 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
AAAI 2025
PAMN: Multi-phase Correlation Modeling for Contrast-Enhanced 3D Medical Image Retrieval
EMNLP 2025
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
MICCAI 2025
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction
AAAI 2025
A Denoising Pre-training Framework for Accelerating Novel Material Discovery
AAAI 2025
Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
ICML 2025
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
NIPS 2024
Attention Beats Linear for Fast Implicit Neural Representation Generation
ECCV 2024
Floating Anchor Diffusion Model for Multi-motif Scaffolding
ICML 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
ICML 2024
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
ICCV 2023
$E(2)$-Equivariant Vision Transformer
UAI 2023
S2SNet: A Pretrained Neural Network for Superconductivity Discovery
IJCAI 2022