Author

Luntian Mou

Faculty of Information, Beijing University of Technology, Beijing, China

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Book Open access Nov 2026

HASF-Net: Hierarchical Attention and Spectral Filtering for Multimodal Emotion Recognition in Conversation

Multimodal emotion recognition in conversations (MERC) aims to identify utterance-level emotions from textual, acoustic, and visual cues, and provides a basis for future extension to richer multisensory affective understanding. However, semantic inconsistency across heterogeneous modalities, the under-utilization of mo...

Luntian Mou, Yue Zeng, Sha-Sha Mao et al. · Proceedings of the 2nd Inter... · 0 citations

Sep 2026

Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation-Inhibition Balance for Improved Representational Similarity With DNNs.

The optimized MV1M is evaluated by comparing it with 32 ImageNet-1K pretrained deep neural networks (DNNs) across architectural families using layerwise representational similarity analysis (RSA), showing that the optimized MV1M achieves stronger representational alignment with DNNs than both randomly initialized and o...

Luntian Mou, Siqi Zhen, Peize Li et al. · IEEE Transactions on Neural... · 0 citations

Preprint Aug 2026

Mind the Couch! Eliciting MLLM Reasoning in Interior Design via Weak-to-Strong Task Vector Injection

Multimodal Large Language Models (MLLMs) have demonstrated great performance, yet they often suffer from severe modality misalignment when confronted with densely constrained spaces for interior design. Due to the loss of high-frequency local topological details and fine-grained aesthetic shifts during visual encoding,...

Yuxuan Yang, Jingyao Wang, Luntian Mou · 0 citations