Yaochu Jin
16 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (26) π§ Keyword Pioneer
π
Conference Polyglot
(9)
π
Grand Slam
π
Century Club
(14)
β‘
Prolific Year
(8)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
ICCV (3)
ICLR (3)
ECCV (2)
ACL (1)
COLING (1)
CVPR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(2)
large language model
(2)
multi-agent reinforcement learning
(2)
neural architecture search
(2)
personalized federated learning
(2)
imitation learning
(1)
energy efficiency
(1)
multi-task learning
(1)
document-level extraction
(1)
relation extraction
(1)
adversarial learning
(1)
preference learning
(1)
value iteration
(1)
lateral inhibition
(1)
spiking neural network
(1)
diffusion model
(1)
cooperative learning
(1)
supervised fine-tuning
(1)
evolutionary algorithm
(1)
transfer learning
(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
NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models
ACL 2025
Personalized Federated Learning under Local Supervision
ICCV 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
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
ICCV 2025
Biologically Plausible Brain Graph Transformer
ICLR 2025
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
ICLR 2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
ICML 2025
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
ECCV 2024
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
ECCV 2024
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast
COLING 2024
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
ICLR 2023
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
CVPR 2023
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
NIPS 2022