1 citations · 1 across the 3 of their papers we have counts for
4 papers
LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
Xueming Yan, Bo Yin, Yaochu Jin
Multiobjective reinforcement learning (MORL) poses significant challenges due to the inherent conflicts between objectives and the difficulty of adapting to dynamic environments. T…
OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
Xueming Yan, Boyan Xu, Yaochu Jin +7
Indonesian, spoken by over 200 million people, remains underserved in multimodal emotion recognition research despite its dominant presence on Southeast Asian social media platform…
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin, Xueming Yan, Shiqing Liu +1
Graph neural networks (GNNs) have emerged as a powerful tool for solving combinatorial optimization problems (COPs), exhibiting state-of-the-art performance in both graph-structure…
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Xueming Yan, Ziqi Wang, Yaochu Jin
Federated multi-view clustering offers the potential to develop a global clustering model using data distributed across multiple devices. However, current methods face challenges d…