Tian Jin
8 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🏆 Grand Slam
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Deep Learning
(3)
Application Areas
(3)
Learning Types
(3)
Natural Language Processing
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Robotics
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
model compression
(3)
neural network pruning
(2)
attention mechanism
(1)
transfer learning
(1)
inference optimization
(1)
in-context learning
(1)
instruction tuning
(1)
parameter efficiency
(1)
gabor filters
(1)
scaling law
(1)
sensor fusion
(1)
weight pruning
(1)
sparse training
(1)
model scaling
(1)
zero-shot learning
(1)
fact recall
(1)
data synthesis
(1)
multi-agent simulation
(1)
privacy-preserving training
(1)
federated learning
(1)
Papers
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
AAAI 2025
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
ICML 2025
MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
EMNLP 2025
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
ACL 2025
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
ICLR 2025
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
ICLR 2024
Pruning’s Effect on Generalization Through the Lens of Training and Regularization
NeurIPS 2022
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions
ACL 2020