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Yaochu Jin

16 papers · 2022–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+5 more ↓ 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (26) 🧭 Keyword Pioneer
🌍 Conference Polyglot (9) πŸ† Grand Slam πŸ’Ž Century Club (14) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (5)

Conferences

AAAI (3) ICCV (3) ICLR (3) ECCV (2) ACL (1) COLING (1) CVPR (1) ICML (1) NIPS (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