Author

Kai-Wen Zheng

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Preprint Oct 2026

I$^2$-KAN: Interpretable Intra- and Inter-Modal Multi-Pathway Representation Learning for Multimodal Sentiment Analysis

Multimodal sentiment analysis (MSA) aims to infer sentiment by integrating linguistic, acoustic, and visual information. However, many fusion methods integrate modality-specific representations and cross-modal interactions into joint representations, making it difficult to determine whether predictive utility arises fr...

Xiao-Ting Xie, Feng Qiao, Xian-Wei Zhang et al. · 0 citations

Review Sep 2026

A Comprehensive Review of Multimodal Facial State Analysis: Tasks, Methods, and Resources

This survey reviews core tasks, representative methods, and datasets in multimodal facial state analysis, focusing on facial expression recognition, AU detection, and face-based soft biometric estimation, and emphasizing the unique value of language in providing contextual semantics, enhancing reasoning, and generating...

Xuri Ge, Tian-Shuo Zhang, Ruihan Li et al. · 0 citations

#reinforcement learning Book Jul 2026

RecRec: Latent Interests Recursive Reasoning for Sequential Recommendation

Rec is proposed, an RL-free framework that decouples reasoning from prediction, overcoming the fixed d-dimensional state bottleneck of prior methods, and points to a decoupled, multi-vector recipe that unleashes latent reasoning from the single-state bottleneck of prior methods.

Wenhao Deng, Junchen Fu, Han-Wen Du et al. · arXiv.org · 0 citations

Preprint Aug 2026

Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models

DPQ is introduced, a lightweight pre-quantization recipe family that uses full-precision predictions to construct target-aligned calibration mixtures of high-doubt examples and generic anchors that better preserve broad multiple-choice QA behavior.

Zhen Yang, Sizai Hou, Kai-Wen Zheng et al. · 1 citation