Tian Guo
10 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (8)
π
Cross-Pollinator
(14)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(22)
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Century Club
(10)
Conferences
ICLR (2)
ICML (2)
ECCV (1)
EMNLP (1)
IJCAI (1)
JMLR (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
neural architecture search
(3)
long short-term memory
(2)
time series forecasting
(2)
multi-objective optimization
(2)
domain adaptation
(1)
attention mechanism
(1)
text representation
(1)
efficient computing
(1)
energy efficiency
(1)
weight sharing
(1)
trend prediction
(1)
convolutional neural network
(1)
recurrent neural network
(1)
feature fusion
(1)
zero-shot generalization
(1)
carbon efficiency
(1)
gpu resource allocation
(1)
time-series prediction
(1)
carbon emission
(1)
depth fusion
(1)
Papers
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors
WACV 2025
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
EMNLP 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
NIPS 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
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
ECCV 2020
Low-dimensional statistical manifold embedding of directed graphs
ICLR 2020
Exploring interpretable LSTM neural networks over multi-variable data
ICML 2019
Hybrid Neural Networks for Learning the Trend in Time Series
IJCAI 2017