Tian Zhou
10 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Grand Slam
π
Conference Pioneer
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
MICCAI (2)
NIPS (2)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
time series forecasting
(6)
anomaly detection
(2)
sequence modeling
(1)
few-shot learning
(1)
transfer learning
(1)
time series
(1)
fourier transform
(1)
sequential learning
(1)
diffusion model
(1)
long short-term memory
(1)
recurrent neural network
(1)
frequency domain
(1)
pretrained transformer
(1)
channel independence
(1)
long-term forecasting
(1)
pretrained language model
(1)
model interpretation
(1)
median-of-means estimator
(1)
multivariate forecasting
(1)
seasonal-trend decomposition
(1)
Papers
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
AAAI 2026
Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI 2025
A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis
MICCAI 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
ICLR 2024
An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons
MICCAI 2024
One Fits All: Power General Time Series Analysis by Pretrained LM
NIPS 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
AAAI 2023
Transformers in Time Series: A Survey
IJCAI 2023
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
ICML 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
NIPS 2022