Yaochu Jin
16 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 🏆 Grand Slam 🗃️ Keyword Collector (61)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(5)
Optimization & Theory
(4)
Natural Language Processing
(3)
Core AI
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Models
(2)
Keywords
federated learning
(3)
contrastive learning
(2)
large language model
(2)
neural architecture search
(2)
multi-agent reinforcement learning
(2)
diffusion model
(2)
personalized federated learning
(2)
adversarial learning
(1)
relation extraction
(1)
zero-shot learning
(1)
preference learning
(1)
document-level extraction
(1)
feature generation
(1)
graph representation
(1)
transfer learning
(1)
multi-objective optimization
(1)
lateral inhibition
(1)
imitation learning
(1)
value iteration
(1)
energy efficiency
(1)
Papers
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
AAAI 2026
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data
AAAI 2026
Biologically Plausible Brain Graph Transformer
ICLR 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
AAAI 2025
Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning
ICCV 2025
NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models
ACL 2025
Personalized Federated Learning under Local Supervision
ICCV 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
ICCV 2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
ICML 2025
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
ICLR 2025
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast
COLING 2024
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
ECCV 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
ECCV 2024
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
CVPR 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
ICLR 2023
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2022