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20232026
most citedLearning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis

178 citations · 184 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence

Haoyu Zhang, Zhipeng Li, Xiaoying Tang +2

Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, but a spoken answer still leaves the agent visually absent. We introduce \textbf{Ex-Omni-…

cs.CV2026

Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models

Haoyu Zhang, Zhipeng Li, Yiwen Guo +1

Omni-modal large language models (OLLMs) aim to unify multimodal understanding and generation, yet extending them to jointly produce speech and 3D facial animation remains largely…

cs.CL2024★ 4 cited

Towards Robust Multimodal Sentiment Analysis with Incomplete Data

Haoyu Zhang, Wenbin Wang, Tianshu Yu

The field of Multimodal Sentiment Analysis (MSA) has recently witnessed an emerging direction seeking to tackle the issue of data incompleteness. Recognizing that the language moda…

cs.AI2023★ 178 cited

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis

Haoyu Zhang, Yu Wang, Guanghao Yin +3

Though Multimodal Sentiment Analysis (MSA) proves effective by utilizing rich information from multiple sources (e.g., language, video, and audio), the potential sentiment-irreleva…

cs.AI2023★ 2 cited

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem

Zhang-Hua Fu, Sipeng Sun, Jintong Ren +6

For prohibitively large-scale Travelling Salesman Problems (TSPs), existing algorithms face big challenges in terms of both computational efficiency and solution quality. To addres…