Tian Guo
10 papers · 2017–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(4)
Optimization & Theory
(4)
Core Methods
(3)
Application Areas
(2)
Architectures
(2)
Learning Types
(2)
Techniques
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Keywords
neural architecture search
(4)
multi-objective optimization
(3)
long short-term memory
(2)
time series forecasting
(2)
attention mechanism
(1)
text representation
(1)
sample efficiency
(1)
energy efficiency
(1)
domain adaptation
(1)
time series prediction
(1)
graph embedding
(1)
efficient computing
(1)
relative entropy
(1)
directed graph
(1)
trend prediction
(1)
weight sharing
(1)
monte carlo tree search
(1)
few-shot learning
(1)
convolutional neural network
(1)
reinforcement learning
(1)
Papers
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors
WACV 2025
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
NeurIPS 2024
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
EMNLP 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
JMLR 2024
Multi-objective Optimization by Learning Space Partition
ICLR 2022
Few-Shot Neural Architecture Search
ICML 2021
Low-dimensional statistical manifold embedding of directed graphs
ICLR 2020
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
ECCV 2020
Exploring interpretable LSTM neural networks over multi-variable data
ICML 2019
Hybrid Neural Networks for Learning the Trend in Time Series
IJCAI 2017