Jilin Hu
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
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AAAI (5)
IJCAI (3)
EMNLP (2)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
large language model
(2)
spatio-temporal datum
(2)
model compression
(2)
model quantization
(1)
variational inference
(1)
bayesian inference
(1)
neural network pruning
(1)
neural architecture search
(1)
graph representation
(1)
neural network optimization
(1)
low-rank approximation
(1)
natural gradient
(1)
time series
(1)
sparse optimization
(1)
mutual information maximization
(1)
weight sharing
(1)
bayesian optimization
(1)
posterior approximation
(1)
diffusion model
(1)
curriculum learning
(1)
Papers
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
AAAI 2026
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
AAAI 2026
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline
AAAI 2026
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
AAAI 2026
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
ICLR 2025
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
ICML 2025
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
IJCAI 2025
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
IJCAI 2025
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression
EMNLP 2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
EMNLP 2025
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
AAAI 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
CVPR 2022
Unsupervised Path Representation Learning with Curriculum Negative Sampling
IJCAI 2021