Tian Ding
7 papers · 2024–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Optimization & Theory
(6)
Architectures
(4)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
linear programming
(2)
graph neural network
(2)
learning rate
(2)
object tracking
(1)
neural network theory
(1)
early exit
(1)
continuous optimization
(1)
multimodal fusion
(1)
expressive power
(1)
first-order method
(1)
optimization algorithm
(1)
distributed algorithm
(1)
adam optimizer
(1)
zeroth-order optimization
(1)
gradient approximation
(1)
gradient descent
(1)
neural network optimization
(1)
prompt optimization
(1)
memory footprint
(1)
black-box optimization
(1)
Papers
Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing
CVPR 2026
Adam-mini: Use Fewer Learning Rates To Gain More
ICLR 2025
Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
ICLR 2025
On the Power of Small-size Graph Neural Networks for Linear Programming
NeurIPS 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
Why Transformers Need Adam: A Hessian Perspective
NeurIPS 2024