Yaochu Jin

Full Professor@Westlake University·中国·OpenReview

研究方向

embodied AI · federated learning · evolutionary developmental systems · Brain-inspired computing · data-driven optimization · evolutionary optimization · artificial intelligence

Yaochu Jin

Foundation Models for Industrial Scheduling Leveraging the Techniques from LLMs

Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis

Generalizable Multilevel Graph Optimization via Reinforcement-Guided Diffusion from Simple Subproblems

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks

A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning

Fast and Adaptive Multi-Objective Feature Selection for Classification

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning

Biologically Plausible Brain Graph Transformer

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

TDFormer: Top-Down Attention-Controlled Spiking Transformer

Decoupling Backdoors from Main Task: Toward the Effective and Durable Backdoors in Federated Learning

Personalized Federated Learning With Similarity Information Supervisor